A method and system for optimizing stress distribution in lens processing

Abstract

The present invention provides a method and system for optimizing stress distribution in lens processing, which are applied to the field of data distribution processing. The present invention identifies the internal stress information of a pre-selected material and compares it with a preset threshold value to accurately find potential stress concentration areas, dynamically adjusts cutting parameters in combination with the crystal structure and cutting method of the material to reduce processing residual stress, and simultaneously quickly locates problem areas through simulation and actual stress distribution matching detection, performs secondary annealing on mismatched areas to release residual stress, and uses low-temperature coating, ion-assisted coating, laser-assisted coating, sputtering coating and other technologies to adjust the surface stress state, introduce internal stress of the coating to achieve overall stress redistribution.

Description

Technical Field

[0001] The present invention relates to the field of data distribution processing, and in particular to a stress distribution optimization method and system for lens processing. Background Art

[0002] Lens processing is the process of polishing, cutting, and forming optical lenses. The stress distribution of the material is an important factor affecting its performance. In particular, optical lenses require extremely high surface quality and geometric accuracy to meet the requirements of their application in optical equipment. Any stress generated by processing will affect the shape, optical performance, and long-term stability of the lens.

[0003] During the lens cutting, polishing and other processing processes, local stress concentration often occurs, especially in corners or edge areas. These stress concentrations may cause the lens to crack or deform during subsequent use, and in severe cases, the entire lens may be scrapped. Summary of the invention

[0004] The present invention aims to solve the problem that local stress concentration often occurs during the cutting and polishing processes of lenses, resulting in cracking or deformation of the lenses during subsequent use, and to provide a method and system for optimizing stress distribution in lens processing.

[0005] The present invention adopts the following technical means to solve the technical problem:

[0006] The present invention provides a method for optimizing stress distribution in lens processing, comprising:

[0007] Based on the pre-selected materials of the processed lens at the processing back end, identifying the internal stress information in the pre-selected materials, wherein the pre-selected materials specifically include optical glass, resin and plastic;

[0008] Determining whether the internal stress information exceeds a preset stress upper limit;

[0009] If yes, the pre-selected material is subjected to a preset heat treatment through the processing back end, the crystal structure in the pre-selected material is adjusted, a preset cutting method of the processed lens is obtained, and the cutting parameters of the processed lens are dynamically adjusted according to the crystal structure and the cutting method, and the stress concentration area of ​​the processed lens is detected, wherein the cutting method specifically includes laser cutting, mechanical cutting and water jet cutting, and the cutting parameters specifically include cutting angle, cutting direction and cutting level;

[0010] Determining whether the stress concentration area matches a preset simulation distribution area;

[0011] If there is no match, the corresponding stress distribution data is collected from the stress concentration area, and the processed lens is subjected to secondary annealing based on the stress distribution data to release the processing residual stress in the stress concentration area, and a preset surface coating measure is applied to adjust the surface stress state of the processed lens, introduce the internal stress of the coating material into the processed lens, and reset the stress state of the processed lens on the lens surface and inside the lens, wherein the surface coating measure specifically includes low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating.

[0012] Furthermore, before the step of detecting the stress concentration area of ​​the processed lens, the method further comprises:

[0013] Based on the microstructure of the preselected material, dividing the high stress area corresponding to the microstructure, wherein the microstructure specifically includes grain distribution, microcracks and pores;

[0014] Determining whether the stress value corresponding to the high stress area exceeds a preset material strength limit;

[0015] If so, mark the area to be optimized whose stress value exceeds the material strength limit from the high stress area, calculate the microcrack propagation rate and the weakening ratio of the pore to the compressive strength according to the area to be optimized, identify the stress defect distribution of the area to be optimized according to the weakening ratio, and generate corresponding maintenance measures through the stress defect distribution, wherein the maintenance measures specifically include changing the material purity and improving the processing accuracy.

[0016] Furthermore, the step of dynamically adjusting the cutting parameters of the processed lens according to the crystal structure and the cutting method further includes:

[0017] Using a preset three-dimensional scanner to obtain three-dimensional shape data of the lens surface, and collecting surface characteristics of the processed lens based on the three-dimensional shape data, wherein the surface characteristics specifically include curvature change, edge thickness and surface ripples;

[0018] Determining whether the surface characteristics meet the preset polishing conditions;

[0019] If so, the lens surface is divided into a preset number of uniform polishing areas, the surface roughness of the processed lens is detected by a preset profilometer, the corresponding key polishing areas are identified according to the surface roughness, and the grid density of the uniform polishing areas and the key polishing areas is dynamically adjusted according to the surface characteristics.

[0020] Furthermore, the step of resetting the stress state of the processed lens on the lens surface and inside the lens further includes:

[0021] Based on the preset laser processing area of ​​the processed lens by the processing back end, a preset polarized stress meter is used to draw a stress distribution map of the lens surface and the inside of the lens, and the stress concentration area is marked from the stress distribution map;

[0022] Determining whether a preset potential crack location is detected in the stress concentration area;

[0023] If so, the laser processing parameters of the laser device are adaptively adjusted according to the preselected material, the spot diameter preset by the laser device is identified, the spot diameter is dynamically adjusted to focus and adapt to the stress concentration area, the stress concentration area is locally heated according to the spot diameter, and the internal stress distribution of the stress concentration area is reset through the thermal expansion effect, wherein the laser processing parameters specifically include laser wavelength, power, frequency and focal length.

[0024] Furthermore, the step of determining whether the internal stress information exceeds a preset stress upper limit further includes:

[0025] Based on the performance parameters of the preselected materials, detecting the performance impact of the preselected materials in a preset use environment, wherein the performance parameters specifically include elastic modulus, yield strength, tensile strength and Poisson's ratio, and the use environment specifically includes high temperature, low temperature and corrosive environment;

[0026] Determine whether the performance impact reaches a preset impact upper limit;

[0027] If so, the material structure of the preselected material is divided into regions, the corresponding stress state is collected according to the regional division, the stress state is decomposed into components in different directions, and the stress excess in the different directions is detected based on the components, wherein the regional division specifically includes a stress concentration area, an edge area and a plane area, and the different directions specifically include axial, radial and tangential.

[0028] Furthermore, the step of determining whether the stress concentration area matches a preset simulation distribution area further includes:

[0029] Using a preset vector field form, identifying the directional distribution of the stress concentration area, and obtaining difference information of the main direction of stress based on the directional distribution;

[0030] Determining whether the difference information meets the preset simulation expectations;

[0031] If not, the stress direction deviation of the stress concentration area is monitored in real time according to the strain sensor preset at the processing back end, and the processing trajectory of the processed lens is dynamically corrected according to the stress direction deviation.

[0032] Furthermore, the step of identifying the internal stress information in the pre-selected material for processing the lens based on the processing back end further includes:

[0033] Based on the lens types pre-selected by the processing backend, identifying the processing purposes corresponding to the lens types, wherein the lens types specifically include optical lenses, spectacle lenses and photographic lenses;

[0034] Determining whether the processing purpose matches the preset standby field;

[0035] If so, then according to the processing purpose, the tolerance range of the processed lens is collected, and based on the tolerance range, the processing technology of the processed lens by the processing back end is obtained, and the applicable material of the processed lens is adaptively replaced, wherein the tolerance range specifically includes angle tolerance, curvature tolerance and thickness tolerance, and the applicable materials specifically include light-transmitting materials, wear-resistant materials and temperature-resistant materials.

[0036] The present invention also provides a stress distribution optimization system for lens processing, comprising:

[0037] An identification module, used for identifying internal stress information in a pre-selected material for processing a lens based on a pre-selected material for processing at a processing back end, wherein the pre-selected material specifically includes optical glass, resin and plastic;

[0038] A judgment module, used to judge whether the internal stress information exceeds a preset stress upper limit;

[0039] an execution module, for, if yes, performing a preset heat treatment on the preselected material through the processing back end, adjusting the crystal structure in the preselected material, obtaining a preset cutting method for a processed lens, dynamically adjusting cutting parameters of the processed lens according to the crystal structure and the cutting method, and detecting a stress concentration area of ​​the processed lens, wherein the cutting method specifically includes laser cutting, mechanical cutting and water jet cutting, and the cutting parameters specifically include a cutting angle, a cutting direction and a cutting level;

[0040] A second judgment module is used to judge whether the stress concentration area matches a preset simulation distribution area;

[0041] The second execution module is used to collect corresponding stress distribution data from the stress concentration area if there is a mismatch, perform secondary annealing on the processed lens based on the stress distribution data, release the processing residual stress in the stress concentration area, apply preset surface coating measures to adjust the surface stress state of the processed lens, introduce the internal stress of the coating material into the processed lens, and reset the stress state of the processed lens on the lens surface and inside the lens, wherein the surface coating measures specifically include low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating.

[0042] Furthermore, it also includes:

[0043] A division module, for dividing the high stress area corresponding to the microstructure based on the microstructure of the preselected material, wherein the microstructure specifically includes grain distribution, microcracks and pores;

[0044] A third judgment module is used to judge whether the stress value corresponding to the high stress area exceeds a preset material strength limit;

[0045] The third execution module is used for marking the areas to be optimized whose stress values ​​exceed the material strength limit from the high stress area, calculating the microcrack propagation rate and the weakening ratio of the pores to the compressive strength of the areas to be optimized according to the weakening ratio, identifying the stress defect distribution of the areas to be optimized according to the weakening ratio, and generating corresponding maintenance measures through the stress defect distribution, wherein the maintenance measures specifically include changing the material purity and improving the processing accuracy.

[0046] Furthermore, the execution module also includes:

[0047] A collection unit, used for acquiring three-dimensional shape data of the lens surface by using a preset three-dimensional scanner, and collecting surface characteristics of the processed lens based on the three-dimensional shape data, wherein the surface characteristics specifically include curvature change, edge thickness and surface ripples;

[0048] A judging unit, used to judge whether the surface characteristics meet the preset polishing conditions;

[0049] An execution unit is used to divide the lens surface into a preset number of uniform polishing areas, detect the surface roughness of the processed lens by a preset profilometer, identify the corresponding key polishing areas according to the surface roughness, and dynamically adjust the grid density of the uniform polishing areas and the key polishing areas according to the surface characteristics.

[0050] The present invention provides a method and system for optimizing stress distribution in lens processing, which has the following beneficial effects:

[0051] The present invention identifies the internal stress information of pre-selected materials and compares it with a preset threshold to accurately discover potential stress concentration areas. In combination with the crystal structure and cutting method of the material, the cutting parameters are dynamically adjusted to reduce processing residual stress. At the same time, the problem area is quickly located through simulation and actual stress distribution matching detection. The mismatched area is subjected to secondary annealing to release residual stress. The surface stress state is adjusted using technologies such as low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating, and internal stress of the coating is introduced to achieve overall stress redistribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A schematic flow chart of an embodiment of a method for optimizing stress distribution in lens processing according to the present invention;

[0053] Figure 2 The structure block diagram of one embodiment of the stress distribution optimization system for lens processing of the present invention. DETAILED DESCRIPTION

[0054] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. The implementation of the objectives, functional features and advantages of the present invention will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Reference Figure 1 , is a method for optimizing stress distribution in lens processing in one embodiment of the present invention, comprising:

[0057] S1: Based on the pre-selected materials of the processed lens at the processing back end, identifying the internal stress information in the pre-selected materials, wherein the pre-selected materials specifically include optical glass, resin and plastic;

[0058] S2: determining whether the internal stress information exceeds a preset stress upper limit;

[0059] S3: If yes, then perform a preset heat treatment on the preselected material through the processing back end, adjust the crystal structure in the preselected material, obtain a preset cutting method for the processed lens, dynamically adjust the cutting parameters of the processed lens according to the crystal structure and the cutting method, and detect the stress concentration area of ​​the processed lens, wherein the cutting method specifically includes laser cutting, mechanical cutting and water jet cutting, and the cutting parameters specifically include cutting angle, cutting direction and cutting level;

[0060] S4: Determine whether the stress concentration area matches a preset simulation distribution area;

[0061] S5: If there is no match, the corresponding stress distribution data is collected from the stress concentration area, and the processed lens is subjected to secondary annealing based on the stress distribution data to release the processing residual stress in the stress concentration area, and the surface stress state of the processed lens is adjusted by applying preset surface coating measures, and the internal stress of the coating material is introduced into the processed lens, and the stress state of the processed lens on the lens surface and inside the lens is reset, wherein the surface coating measures specifically include low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating.

[0062] In this embodiment, the system identifies the internal stress information in the pre-selected materials for the processed lens based on the processing back end, and the pre-selected materials specifically include optical glass, resin and plastic. Then the system determines whether the internal stress information exceeds the preset stress upper limit to execute the corresponding steps; for example, when the system determines that the internal stress information in the pre-selected material does not exceed the preset stress upper limit, the system will consider that the internal stress of the material is within a safe range and will not have a negative impact on the subsequent processing process. The system will continue to perform subsequent processing steps, such as cutting, polishing, coating, etc., without the need for additional preprocessing or adjustment, and continue to use the currently preset cutting parameters. The number, processing methods and process flow of the material are not affected by the internal stress. This means that under the current process conditions, stress concentration or damage is unlikely to occur during the material processing process, and no additional heat treatment, secondary annealing or surface coating adjustment is required, eliminating unnecessary steps, thereby improving production efficiency and reducing energy consumption and costs. For example, when the system determines that the internal stress information in the pre-selected material exceeds the preset stress upper limit, the system will consider that the internal stress of the material is in a dangerous range and will affect subsequent processing. The system will perform a pre-set heat treatment on the pre-selected material through the processing back end, adjust the crystal structure of the pre-selected material, obtain the pre-set cutting method for the processed lens, and the cutting method will be used to cut the lens. The cutting methods include laser cutting, mechanical cutting and water jet cutting. According to different crystal structures and cutting methods, the cutting parameters of the processed lens are dynamically adjusted. The cutting parameters specifically include cutting angle, cutting direction and cutting level, and the stress concentration area of ​​the processed lens is detected. The system adjusts the crystal structure of the material through a preset heat treatment, effectively releases excessive internal stress, restores the material from a dangerous range to a safe range, prevents cracks or deformation due to excessive internal stress in subsequent processing, and ensures the stability of the material. At the same time, according to different crystal structures and cutting methods (laser cutting, mechanical cutting, water jet cutting), the cutting parameters (such as angle, direction and level) are dynamically adjusted to adapt to the material. The material characteristics can reduce the concentration of local stress during the cutting process, thereby improving cutting accuracy and reducing the incidence of processing defects. After cutting, the stress concentration area of ​​the lens can be detected to quickly locate potential abnormal stress distribution areas, provide a clear direction for subsequent processing optimization, and further improve the reliability of the finished product. Through systematic internal stress adjustment and dynamic cutting parameter optimization, the cracking or deformation problems caused by stress concentration areas can be reduced, and the optical performance and mechanical strength of the lens can be significantly improved to meet the strict requirements of high-end optical systems and extend its service life. The system then determines whether these stress concentration areas match the pre-set simulated distribution areas to execute the corresponding steps.For example, when the system determines that these stress concentration areas can match the pre-set simulated distribution areas, the system will consider that the lens has good mechanical strength and crack resistance under the current stress distribution state, and is suitable for subsequent processing or directly entering the quality inspection stage. The system will continue processing directly according to the existing process route to ensure processing efficiency and stability. At the same time, since the stress concentration distribution is in line with expectations, the lens can be further processed, such as polishing, coating, etc., to improve the surface finish and optical performance of the lens, while enhancing durability and reliability. Even if the stress distribution is in line with expectations, standardized quality inspection procedures must still be performed, including surface roughness, geometric tolerance and optical performance tests to ensure that the processed lens meets product design requirements. For example, when the system determines that these stress concentration areas cannot match the pre-set simulated distribution areas, the system will consider that the lens is prone to cracking under the current stress distribution state and is not suitable for subsequent processing. The system will collect corresponding stress distribution data from the stress concentration area, and based on these stress distribution data, perform secondary annealing on the processed lens to release the processing residual stress in the stress concentration area, and apply pre-set surface coating measures to adjust the processed lens. Surface stress state. Surface coating measures specifically include low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating, which introduce the internal stress of the coating material into the processed lens and reset the stress state of the processed lens on the lens surface and inside the lens. The system performs secondary annealing on the stress concentration area to effectively release the residual stress left over from the processing process, improve the stress distribution inside the lens, avoid crack expansion or local rupture caused by stress concentration, and improve the structural integrity of the lens. At the same time, surface coating measures (such as low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating) are applied to introduce the internal stress of the coating material, which can balance the stress state on the surface and inside of the processed lens, enhance the mechanical strength and fatigue resistance of the lens, and improve the ability to resist external impact. In addition, surface coating technology not only adjusts the stress state, but also improves the optical properties (such as transmittance, refractive index, etc.) and functional properties (such as scratch resistance and corrosion resistance) of the lens, further improving the quality and applicability of the finished product. By collecting stress distribution data and making adjustments, the system can accurately identify and solve the problem of abnormal stress distribution, so that the lens can meet the processing requirements again, thereby reducing the scrap rate and improving the yield rate and economic benefits of the production line. ;

[0063] It should be noted that the pre-selected material is subjected to a preset heat treatment by the processing back end to adjust the crystal structure of the pre-selected material. The specific examples are as follows:

[0064] Since optical glass will produce significant residual stress due to rapid cooling during the manufacturing process, these stresses will cause the material to crack easily during cutting, polishing or subsequent use, affecting its optical performance and mechanical strength. For example, the optical glass used for astronomical telescope lenses has extremely high requirements for refractive index uniformity, and residual stress will cause imaging distortion;

[0065] Then the heat treatment process is to select a piece of optical glass (such as borosilicate glass) with a diameter of 300 mm and a thickness of 50 mm, whose residual stress in the initial state is shown to be a high value by photoelastic testing;

[0066] During the heating phase, the glass is placed in an annealing furnace and gradually heated to 560°C (the annealing temperature of the glass) at a rate of 10°C per minute to ensure that the material is heated evenly and to avoid introducing new thermal stress;

[0067] During the heat preservation stage, the temperature is kept at 560°C for 4 hours, the molecular structure in the glass is rearranged, and the residual stress inside is slowly released; this process ensures the uniformity of stress release;

[0068] In the cooling stage, the temperature is lowered from 560°C to 400°C at a rate of 5°C per minute to avoid new stress concentration caused by excessive cooling, and then naturally cooled to room temperature to ensure that the final stress state of the material is stable;

[0069] After treatment, the residual stress of the annealed optical glass is reduced by more than 90% (determined by photoelastic experiments), and the refractive index uniformity is improved by 20%, which meets the high-precision imaging requirements of astronomical telescopes. The bending strength of the material is increased by about 25%, and it is less likely to crack during processing and installation.

[0070] In summary, the above examples effectively eliminate residual stress by adjusting the molecular structure of glass through the high-temperature annealing process, thereby significantly improving the optical properties and mechanical strength of the material; this treatment method is widely used in the field of high-end optical instrument manufacturing, such as microscopes, laser equipment and astronomical telescope lens processing.

[0071] It should be supplemented that the corresponding stress distribution data is collected from the stress concentration area, and the processed lens is subjected to secondary annealing according to the stress distribution data to release the processing residual stress in the stress concentration area. The specific examples are as follows:

[0072] Assume that a manufacturing company is producing an optical glass lens with a diameter of 150 mm and a thickness of 12 mm for use in high-end projection equipment. This lens is cut and formed by laser, but after cutting, it is found that there is a serious stress concentration phenomenon at the edge of the lens (radius 135mm to 150mm), with the maximum stress value reaching 150 MPa, while the upper limit of the safe stress of the optical glass is 100 MPa. If this problem is not solved, the lens may crack due to the expansion of micro-cracks at the edge during subsequent use.

[0073] First, stress data collection and analysis were carried out. The measuring tool and method was to use a laser interferometer stress measuring instrument to perform a full-scale scan of the lens surface and interior to obtain stress distribution data. The scan showed that the stress value in the edge area (range 135 mm to 150 mm) was much higher than that in the central area (stress value was only 20 MPa). The stress direction was mainly radial along the cutting edge, indicating stress concentration caused by thermal shock and vibration during the cutting process.

[0074] Data simulation analysis, using finite element analysis software to establish a three-dimensional model of lens stress distribution, simulation results show that stress concentration is mainly caused by the rapid cooling unevenness of the heat-affected zone during laser cutting; it is also found that the pressure applied by some mechanical fixtures also leads to secondary stress gradients;

[0075] Annealing process design, according to the material properties and stress distribution characteristics, formulate the following annealing plan:

[0076] The annealing temperature range of optical glass is 500°C to 580°C, and the melting point is 750°C;

[0077] To avoid scratches on the lens surface or diffusion of impurities, an inert gas (such as argon) is used as a protective atmosphere;

[0078] Annealing temperature: 550°C, slightly higher than the annealing point to enhance the free movement of glass molecular chains;

[0079] Insulation time: 4 hours, to ensure that the entire lens reaches a uniform temperature field;

[0080] Cooling rate: Cool down to room temperature at a rate of 4°C per minute to avoid new stress concentration caused by thermal shock;

[0081] During the secondary annealing process, the lens is placed in an annealing furnace and the temperature is set to rise by 5°C per minute to 550°C to avoid thermal shock and microcrack propagation. During the heating process, a real-time temperature monitoring system is used to ensure uniform temperature distribution.

[0082] During the heat preservation stage, the temperature is kept at 550°C for 4 hours to allow the molecular structure of the lens to fully adjust and eliminate the residual stress left over from the processing process; local thermal fluid circulation technology is used especially for the edge area to evenly distribute the heat;

[0083] During the cooling stage, the temperature is slowly lowered at a rate of 4°C per minute to avoid new thermal stress in the glass due to rapid cooling; after the lens cools to room temperature, it is removed from the annealing furnace for subsequent testing;

[0084] Stress measurement to verify the effect, laser interferometer was used again to detect the stress distribution after annealing; the measurement results showed that the maximum stress in the edge area dropped from 150 MPa to below 40 MPa, which fully met the product design requirements;

[0085] Performance testing: The lens was subjected to multiple impact tests and temperature cycle experiments in the laboratory, and no new cracks or deformations were found; the overall optical performance of the lens was stable, and the light transmittance reached more than 98% of the design requirements;

[0086] In summary, through the secondary annealing in the above example, the processing residual stress at the edge is effectively released, the stress distribution of the lens is made uniform, and the potential risk of cracking is eliminated. At the same time, the strength and optical performance of the lens are significantly improved, providing high reliability guarantee for subsequent use.

[0087] In this embodiment, before the step S3 of detecting the stress concentration area of ​​the processed lens, the method further includes:

[0088] S301: Based on the microstructure of the preselected material, divide the high stress area corresponding to the microstructure, wherein the microstructure specifically includes grain distribution, microcracks and pores;

[0089] S302: Determine whether the stress value corresponding to the high stress area exceeds a preset material strength limit;

[0090] S303: If so, mark the area to be optimized whose stress value exceeds the material strength limit from the high stress area, calculate the microcrack propagation rate and the weakening ratio of the pore to the compressive strength of the area to be optimized, identify the stress defect distribution of the area to be optimized according to the weakening ratio, and generate corresponding maintenance measures through the stress defect distribution, wherein the maintenance measures specifically include changing the material purity and improving the processing accuracy.

[0091] In this embodiment, the system divides the high stress areas corresponding to the microstructure based on the microstructure of the pre-selected material, which specifically includes grain distribution, microcracks and pores, and then the system determines whether the stress values ​​corresponding to these high stress areas exceed the preset material strength limit to execute the corresponding steps; for example, when the system determines that the stress values ​​corresponding to these high stress areas do not exceed the preset material strength limit, the system will believe that although there are microstructural defects such as uneven grain distribution, microcracks or pores in the pre-selected material, the local stress caused by these defects is still within the safe range of the material and will not cause damage to the material or significantly affect the subsequent processing performance. The system will dynamically determine the stress values ​​of the high stress areas based on the existing micro stress distribution. Adjust the cutting, polishing or heat treatment process parameters to ensure that the processing will not further increase the local stress, such as reducing the cutting rate or reducing the local heat input, so as to avoid the generation of new defects. At the same time, the material's stress resistance can be further improved through local strengthening measures, such as coating a strengthening film (such as anti-cracking coating) or performing local cold treatment on the high stress area to inhibit the potential stress expansion, and mark the high stress area as a potential risk area. These areas are monitored in real time during the subsequent processing. Once the stress value is found to be increasing due to the influence of the processing process, the warning is immediately activated and the process is adjusted. For example, when the system determines that the stress value corresponding to these high stress areas exceeds the preset material strength limit, At this time, the system will think that the pre-selected material will affect the subsequent processing performance. The system will mark the areas to be optimized where the stress value exceeds the material strength limit in these high stress areas. According to different areas to be optimized, the system will calculate the microcrack growth rate and the weakening ratio of the pore to the compressive strength, identify the stress defect distribution of the area to be optimized based on these weakening ratios, and generate corresponding maintenance measures through different stress defect distributions. The maintenance measures specifically include changing the material purity and improving the processing accuracy. By marking the areas to be optimized that exceed the material strength limit in the high stress area, the system can accurately locate the weak points of the material, thereby avoiding blind processing during processing and improving the efficiency of problem troubleshooting and optimization. At the same time, by calculating the microcrack growth rate and the pore strength The system can deeply analyze the specific impact of different defects on material properties and formulate targeted maintenance measures, such as improving material purity in areas with high microcrack density and optimizing machining accuracy in areas with slight machining errors, thereby fundamentally reducing the impact of stress defects on subsequent machining performance. By identifying the distribution of stress defects and implementing targeted maintenance measures, the risks brought by local stress concentration can be effectively alleviated, and problems such as material rupture and deformation caused by excessive stress can be avoided, thereby ensuring the smooth progress of subsequent processing. By generating maintenance measures based on different stress defect distributions, the system has the ability to dynamically adjust optimization strategies to adapt to different materials and processing requirements, and has higher flexibility and versatility.

[0092] It should be noted that the region to be optimized whose stress value exceeds the material strength limit is marked from the high stress region, and the microcrack growth rate and the weakening ratio of the pore to the compressive strength are calculated according to the region to be optimized, and the stress defect distribution of the region to be optimized is identified according to the weakening ratio. The specific examples are as follows:

[0093] Suppose we have a piece of optical glass used to make high-precision optical lenses. During the production process, the system detects some microcracks and pores in the edge area of ​​the lens through high-precision microscopy technology. These microcracks and pores may be caused by temperature changes, mechanical pressure or uneven grinding force during the processing. These defects may expand in a high-stress environment, causing the lens to break or fail.

[0094] First, identify the growth rate of microcracks. Through a high-resolution microscope, the system can observe the morphology and distribution of cracks in detail. For example, at the edge of the lens, the cracks may have expanded from the original tiny cracks to longer cracks. These cracks may further expand during the use of the lens, especially when the lens is subjected to external pressure or impact. The system will monitor the growth trend of these cracks and determine the growth rate of the cracks based on the situation of the stress concentration area. If the crack growth rate in the high stress area is faster, the system will determine that the strength of the area is weak, which may cause rupture during use.

[0095] Then the system evaluates the weakening of compressive strength by pores. In high stress areas, the system will also detect the presence of pores, which will reduce the compressive strength of the material. For example, if multiple tiny pores are found at the edge of the lens, the system will evaluate the impact of these pores on the compressive strength of the lens. The presence of pores makes the stress distribution of the material uneven when it is under pressure, thereby reducing the overall compressive resistance. Assuming that the density of pores is higher at the edge of the lens, the system will analyze the stress distribution relationship between the pores and the surrounding area, and infer how these pores weaken the compressive strength of the material. Through analysis, the system may find that the compressive strength of this area is more than 40% lower than that of the non-porous area.

[0096] Then the stress defect distribution is identified. By combining the microcrack growth rate and the proportion of pores weakening the compressive strength, the system generates a stress defect distribution map. This map shows the location of stress concentration areas in the lens, the growth of cracks, and the density of pore distribution. For example, the edge and surface of the lens may be where the stress is most concentrated. The presence of cracks and pores in these areas will seriously affect the strength of the lens. The system will mark areas with serious stress defects, especially those with faster crack growth and higher pore density. These areas are regarded as areas to be optimized and need further processing.

[0097] Then the optimization measures are listed. For these areas to be optimized, the system will take some optimization measures to improve the strength and service life of the lens. For example, if cracks and pores are mainly concentrated in certain specific areas, the system will suggest reducing these defects by improving the purity of the material. By optimizing the raw materials, removing impurities, reducing the generation of pores and microcracks, the overall strength of the material can be fundamentally improved.

[0098] Finally, to improve processing accuracy, the system will analyze the links in the processing process that may cause stress concentration and defects; for example, uneven stress that may occur during cutting, polishing or heat treatment; the system will recommend adjusting processing parameters to ensure a more refined processing process and avoid the formation of new cracks or pores; for those areas with larger cracks or dense pores, the system may recommend secondary annealing or heat treatment of the lens; these treatments can help release residual stress inside the material, slowing down the expansion of cracks and pores, and can even promote self-healing of cracks through heat treatment, increasing the overall strength of the material;

[0099] Suppose that when manufacturing a high-precision optical glass lens, the system finds that there are multiple microcracks in the edge area of ​​the lens, and the pore density in these areas is high; the system detects that these cracks expand rapidly through high-resolution microscopic analysis technology, and the pores significantly reduce the material's compressive resistance when subjected to external pressure; the system generates a stress defect distribution map and identifies the area as an area to be optimized; based on the analysis results, the system recommends reducing the formation of pores by improving the purity of the material, removing impurities and bubbles; at the same time, the system recommends optimizing the cutting and polishing process, improving the processing accuracy, ensuring a smoother lens surface, and avoiding new cracks caused by improper processing; finally, the system recommends secondary annealing of the lens to eliminate internal residual stress and slow down the expansion of cracks;

[0100] In summary, through the above-mentioned optimization measures, the strength of the edge area of ​​the lens has been significantly improved and the risk of crack propagation has been greatly reduced, thereby ensuring the safety and reliability of the lens during use.

[0101] In this embodiment, the step S3 of dynamically adjusting the cutting parameters of the processed lens according to the crystal structure and the cutting method further includes:

[0102] S31: using a preset 3D scanner to obtain 3D shape data of the lens surface, and collecting surface characteristics of the processed lens based on the 3D shape data, wherein the surface characteristics specifically include curvature change, edge thickness and surface ripples;

[0103] S32: determining whether the surface characteristics meet the preset polishing conditions;

[0104] S33: If yes, the lens surface is divided into a preset number of uniform polishing areas, the surface roughness of the processed lens is detected by a preset profilometer, the corresponding key polishing areas are identified according to the surface roughness, and the grid density of the uniform polishing areas and the key polishing areas is dynamically adjusted according to the surface characteristics.

[0105] In this embodiment, the system uses a pre-set three-dimensional scanner to obtain three-dimensional shape data of the lens surface, and collects surface characteristics of the processed lens based on these three-dimensional shape data. The surface characteristics specifically include curvature change, edge thickness and surface ripples. Then the system determines whether the surface characteristics of the processed lens meet the preset polishing conditions to execute the corresponding steps; for example, when the system determines that the surface characteristics of the processed lens cannot meet the preset polishing conditions, the system will consider that the current surface state of the processed lens does not meet the requirements, such as excessive curvature change, uneven edge thickness or excessive surface ripples. These problems may cause uneven surface, excessive material loss, or even failure to achieve the required polishing process. The system will generate a detailed surface characteristics analysis report based on the 3D scanning data, marking the specific areas with large changes in curvature, uneven edge thickness or significant surface ripples. At the same time, for areas with large changes in curvature, the system will recommend re-cutting or adjusting the shape of the material surface. For uneven edge thickness, the system will recommend optimizing the edge grinding or cutting process to ensure thickness uniformity. If the surface ripples are significant, the system will recommend pre-polishing, using high-precision grinding equipment to reduce surface roughness, and re-scanning the processed lens with a 3D scanner to verify whether the adjusted surface characteristics meet the preset polishing conditions. If there are still deviations, the system will provide further adjustment suggestions to ensure that Ensure that the processing reaches the ideal state; for example, when the system determines that the surface characteristics of the processed lens can meet the preset polishing conditions, the system will consider that the current surface state of the processed lens can meet the processing requirements, and the system will divide the lens surface into a preset number of uniform polishing areas, detect the surface roughness of the processed lens through a pre-set profilometer, identify the corresponding key polishing areas according to different surface roughness, and dynamically adjust the grid density of the uniform polishing area and the key polishing area according to the surface characteristics; the system can achieve more accurate polishing operations by dividing the lens surface into uniform polishing areas and key polishing areas, and increasing the grid density in key areas helps to concentrate on optimizing the surface. Areas with higher surface roughness are optimized to improve the smoothness and uniformity of the overall surface, ensuring that the processed lens meets the optical performance requirements. At the same time, by dynamically adjusting the grid density, polishing resources (such as polishing time, pressure and abrasive distribution) are concentrated on key areas, which can avoid excessive polishing of low roughness areas, reduce material loss and improve polishing efficiency. This optimized allocation helps save time and cost while extending the service life of polishing equipment. The design of dynamically adjusting the polishing grid density is suitable for a variety of lens surface characteristics and complex shapes. For example, for aspheric lenses with large variations in surface roughness, the polishing strategy can be flexibly adjusted to adapt to the processing requirements of different areas to ensure that the surface of the processed lens achieves the ideal effect.

[0106] It should be noted that the lens surface is divided into a preset number of uniform polishing areas, the surface roughness of the processed lens is detected by a preset profilometer, the corresponding key polishing area is identified according to the surface roughness, and the grid density of the uniform polishing area and the key polishing area is dynamically adjusted according to the surface characteristics. The specific examples are as follows:

[0107] Suppose an optical company needs to process an aspheric lens for a deep space telescope. Since the telescope has extremely high requirements for optical performance, the surface of the lens must meet nanometer-level flatness and smoothness. During the processing, it was found that the surface roughness of the lens was unevenly distributed, and some areas had residual textures from processing and unpolished tiny protrusions. The company adopted a systematic polishing process to solve these problems through mesh division and dynamic adjustment.

[0108] Initial lens detection and uniform area division. First, the system uses a 3D scanner to measure the lens surface shape. The scanning results show that the lens diameter is 300mm, the surface contains aspherical features, and the curvature distribution is complex. Based on the scanning data, the system divides the lens surface into 100 uniformly polished areas, and the initial grid size of each area is 10mm×10mm.

[0109] Roughness detection and data analysis: the system detects the roughness of each polishing area one by one through a profilometer; the test results show that the average roughness of the central area is 2μm, with a fluctuation range of 1.5μm to 2.5μm, and the surface quality is good; the average roughness of the edge area is 15μm, with large unprocessed residues and edge warping; there is a corrugated area with a diameter of about 50mm near the center, and the roughness value fluctuates between 8μm and 12μm, showing a periodic texture; the system generates a regional distribution map based on the roughness data, and marks high roughness areas (such as corrugated areas and edge warping areas) as key polishing areas;

[0110] Identification and adjustment of key polishing areas. Based on the roughness distribution map, the system determines that the edge and corrugated areas are key optimization objects. The grid density of the edge area is adjusted to 5mm×5mm to increase the coverage density of the polishing tool and ensure detail optimization. Due to the large fluctuation of the roughness value in the corrugated area, the system adjusts its grid density to 3mm×3mm and further optimizes the polishing direction to adapt to the periodic texture characteristics.

[0111] Dynamic adjustment process and real-time monitoring. During the polishing process, the system continuously monitors the changes in the surface roughness of the lens:

[0112] Edge area: After the first two rounds of polishing, the roughness value is reduced from 15μm to 8μm. The system automatically extends the polishing time of this area and adjusts the pressure and speed to ensure that a uniform effect can be achieved in the future;

[0113] Corrugated area: After multiple tests, the roughness was gradually reduced from 12μm to 4μm; due to its complex texture characteristics, the system introduced an asymmetric polishing path to further optimize the polishing effect;

[0114] As a result of the optimization, the roughness of the edge area was finally reduced to 3μm, and the fluctuation range was between 2.5μm and 3.5μm, which was consistent with the roughness of the central area. The texture of the corrugated area was completely eliminated, and the surface roughness was reduced to less than 2μm. The final average roughness of the entire lens surface was 1.8μm, which met the optical performance requirements of deep space telescopes.

[0115] In summary, through the above-mentioned dynamic adjustment and precise division processing methods, key areas are enhanced, while unnecessary processing is avoided in low-roughness areas, improving efficiency. At the same time, the roughness changes are monitored in real time, and the processing parameters are adjusted according to the latest data to ensure that the surface quality meets the high-precision requirements and avoid excessive processing caused by traditional uniform polishing, effectively extending the life of the lens and reducing costs. This aspherical lens has been successfully used in the deep space telescope system, and its processing accuracy has been greatly improved, ensuring the clarity and reliability of optical imaging;

[0116] In this embodiment, the step S5 of resetting the stress state of the processed lens on the lens surface and inside the lens further includes:

[0117] S51: based on the preset laser processing area of ​​the processed lens by the processing back end, using a preset polarizing stress meter to draw a stress distribution map of the lens surface and the inside of the lens, and marking the stress concentration area from the stress distribution map;

[0118] S52: Determine whether a preset potential crack location is detected in the stress concentration area;

[0119] S53: If so, then according to the preselected material, the laser processing parameters of the laser device are adaptively adjusted, the spot diameter preset by the laser device is identified, the spot diameter is dynamically adjusted to focus and adapt to the stress concentration area, the stress concentration area is locally heated according to the spot diameter, and the internal stress distribution of the stress concentration area is reset by the thermal expansion effect, wherein the laser processing parameters specifically include laser wavelength, power, frequency and focal length.

[0120] In this embodiment, the system uses a pre-set polarized stress meter to draw stress distribution maps on the lens surface and inside the lens based on the laser processing area pre-set for the processing lens at the processing back end, marks the corresponding stress concentration areas from the stress distribution map, and then the system determines whether the pre-set potential crack locations are detected in these stress concentration areas to execute the corresponding steps; for example, when the system determines that the stress concentration area corresponding to the stress distribution map does not detect the pre-set potential crack location, the system will consider that the current stress state of the lens is within the preset safety range, there is no risk of crack extension, and it is suitable to continue the subsequent processing operation. The system will re-scan the stress concentration area to detect the uniformity and stability of the stress distribution to ensure that no stress has occurred. At the same time, the system dynamically adjusts the power, pulse frequency and scanning path of the laser processing according to the current stress state to avoid new stress concentration caused by local thermal effects. If the stress value in the stress concentration area is high but does not exceed the crack risk threshold, the system will reduce the stress accumulation by reducing the laser power or increasing the cooling time, and combine ultrasonic or infrared detection technology to perform non-destructive detection of the stress concentration area to ensure that invisible defects will not affect the processing quality. After confirming that there are no potential cracks, the system will record the current detection data as a reference for subsequent quality tracking; for example, when the system determines that the stress concentration area corresponding to the stress distribution map detects a pre-set potential crack location, the system will consider the current stress concentration of the lens to be If there is a risk of stress state, the system will adaptively adjust the laser processing parameters of the laser equipment according to the pre-selected material. The laser processing parameters specifically include laser wavelength, power, frequency and focal length, identify the pre-set spot diameter of the laser equipment, dynamically adjust the spot diameter to focus and adapt to the stress concentration area, locally heat the stress concentration area according to the spot diameter, and reset the internal stress distribution of the stress concentration area through the thermal expansion effect; the system can effectively alleviate the trend of crack propagation by identifying and accurately processing the potential cracks in the stress concentration area, and reset the internal stress distribution of the area by using the thermal expansion effect caused by local laser heating, thereby reducing the degree of stress concentration and the possibility of crack propagation or material rupture, and dynamically adjust the laser The parameters of the optical equipment (such as wavelength, power, frequency and focal length) and the spot diameter enable the laser processing to accurately cover the stress concentration area to avoid over-processing or omission. This precise local processing method can optimize the overall stress distribution of the lens, ensure the integrity of the surface and internal structure, and for potential crack sites, the system reduces the risk of material failure due to stress concentration by resetting the stress distribution. This optimization treatment significantly improves the service life and safety performance of the lens in high-stress environments. The system can adaptively adjust the laser processing parameters according to different pre-selected material properties (such as glass, resin, plastic), making the processing process more targeted. The dynamic focusing of the spot diameter further improves the flexibility and efficiency of laser processing.

[0121] It should be noted that the spot diameter is dynamically adjusted to focus and adapt to the stress concentration area, the stress concentration area is locally heated according to the spot diameter, and the internal stress distribution of the stress concentration area is reset by the thermal expansion effect. The specific examples are as follows:

[0122] Suppose that a stress concentration area with a diameter of 4 mm is detected in an optical lens after processing. The residual stress in this area is higher than the yield strength of the material, accompanied by fine cracks. This stress state may cause crack expansion during subsequent use due to environmental changes (such as temperature difference or vibration), affecting the performance of the lens.

[0123] First, the spot diameter is dynamically adjusted. The size of the stress concentration area is systematically analyzed and the spot diameter of the laser equipment is adjusted to 3mm to ensure that the spot can cover the crack and the surrounding area. The focal length is precisely controlled at the center of the crack area to ensure uniform distribution of laser energy.

[0124] Then, local heating and stress release are performed. The laser wavelength is set to 532nm to match the thermal absorption characteristics of the lens material. The laser power is adjusted to 50W to avoid overheating and ablation of the material surface. The laser pulse frequency is adjusted to 5Hz to achieve continuous and uniform heating effect.

[0125] Then, the stress of thermal expansion effect is reset. During the laser heating process, the local material in the stress concentration area undergoes fine-tuning of the crystal structure due to thermal expansion, and the original residual stress is gradually released through thermal diffusion. In the cooling stage, the stress in the area is redistributed to a uniform state, and the stress around the crack is reduced to a safe range.

[0126] Finally, feedback detection and optimization are performed. After the processing is completed, the polarized stress meter detects the area again and finds that the residual stress value has dropped by 60% and the crack length has not extended any further. If the residual stress abnormality still exists, the system can further reduce the spot diameter to 2mm to enhance the heating accuracy.

[0127] To sum up, in the above examples, the stress concentration around the crack is eliminated through the thermal expansion effect, the crack no longer expands, and the lens structure is restored to stability; at the same time, the treated lens has passed the high temperature test and vibration simulation experiment, and the performance is fully up to standard; and compared with replacing the lens, this laser repair method reduces material waste, saves production costs and time; that is, this technology not only improves the accuracy of stress repair, but also ensures the stability of the lens in complex use environments, and has broad application prospects.

[0128] In this embodiment, the step S2 of determining whether the internal stress information exceeds a preset stress upper limit further includes:

[0129] S21: Based on the performance parameters of the preselected material, detecting the performance impact of the preselected material in a preset use environment, wherein the performance parameters specifically include elastic modulus, yield strength, tensile strength and Poisson's ratio, and the use environment specifically includes high temperature, low temperature and corrosive environment;

[0130] S22: Determine whether the performance impact reaches a preset impact upper limit;

[0131] S23: If so, the material structure of the preselected material is divided into regions, the corresponding stress state is collected according to the region division, the stress state is decomposed into components in different directions, and the stress excess in the different directions is detected according to the components, wherein the region division specifically includes a stress concentration region, an edge region and a plane region, and the different directions specifically include axial, radial and tangential directions.

[0132] In this embodiment, the system detects the performance impact of the pre-selected material in a preset use environment based on the performance parameters of the pre-selected material, which specifically include elastic modulus, yield strength, tensile strength and Poisson's ratio. The use environment specifically includes high temperature, low temperature and corrosive environment, and then the system determines whether these performance impacts reach the preset impact upper limit to execute the corresponding steps; for example, when the system determines that the performance impact of the pre-selected material in the preset use environment does not reach the preset impact upper limit, the system will consider that the performance of the pre-selected material can meet the requirements of the current use environment, has sufficient safety margin and stability, and can directly enter the subsequent use or processing stage without additional processing or modification steps. The system will record the qualified pre-selected materials in the system database according to the performance parameters, and mark them as qualified materials suitable for the current use environment. At the same time, for high temperature environments, the parts with higher elastic modulus and tensile strength of the materials are preferentially selected and allocated to the processing of high temperature equipment components. For low temperature environments, ensure that the Poisson's ratio and yield strength of the materials meet the requirements of anti-brittle fracture and allocate them to applications in the low temperature field. For corrosive environments, select materials that meet the corrosion resistance indicators, perform surface treatment and allocate them to related structural parts, and And automatically generate processing parameters, including cutting methods, forming processes and surface treatment, etc., optimize the processing process according to the performance of the pre-selected materials to ensure that the performance remains stable in the subsequent processes; for example, when the system determines that the performance impact of the pre-selected material in the preset use environment reaches the preset upper limit of the impact, the system will think that the performance of the pre-selected material cannot meet the requirements of the current use environment, and the system will divide the material structure of the pre-selected material into regions, including stress concentration areas, edge areas and plane areas. According to the regional division, the corresponding stress state is collected, and different stress states are decomposed into components in different directions, including axial, radial and tangential directions. According to these components, stress over-limit in different directions is detected; by dividing the material into regions and decomposing the stress components, the system can accurately locate the specific problems of insufficient performance of the pre-selected materials, such as some areas may exceed the strength limit due to concentrated force, while other areas may cause local failure of the material under the superposition of stress in different directions, so as to avoid misjudgment of the material as a whole, and analyze and optimize more targetedly. At the same time, by detecting stress components in different directions (axial, radial and tangential), the system can provide data support for material design.According to the directional characteristics of excess stress, the structural design or distribution of the material is adjusted, such as adding edge reinforcement, improving plane uniformity, or optimizing the thickness and shape of the stress concentration area, thereby improving the performance of the material. According to the stress excess situation, the system can formulate further processing plans for the material, such as heat treatment of the stress concentration area to eliminate stress, coating the edge area to enhance durability, or directly replacing the material that does not meet the requirements, thereby ensuring the reliability of the final material in the target environment. By decomposing the stress state, the system can find the specific reasons why the material performance does not meet the standards, rather than directly denying the use value of the entire material. For example, if the stress exceeds the limit in only one direction, the problem can be solved by local strengthening or adjusting the process, rather than completely discarding the material, thus reducing waste and lowering costs.

[0133] In this embodiment, the step S4 of judging whether the stress concentration area matches the preset simulation distribution area further includes:

[0134] S41: using a preset vector field form to identify the directional distribution of the stress concentration area, and obtaining difference information of the main direction of stress based on the directional distribution;

[0135] S42: Determine whether the difference information meets the preset simulation expectation;

[0136] S43: If not, monitor the stress direction deviation of the stress concentration area in real time according to the strain sensor preset at the processing back end, and dynamically correct the processing trajectory of the processed lens according to the stress direction deviation.

[0137] In this embodiment, the system uses a pre-set vector field form to identify the directional distribution of the stress concentration area, and obtains the difference information of the main direction of stress based on different directional distributions. Then the system determines whether the difference information meets the pre-set simulation expectations to execute the corresponding steps; for example, when the system determines that the difference information of the main direction of stress can meet the pre-set simulation expectations, the system will believe that the stress distribution performance of the current material under the predetermined working conditions meets the design requirements, the structure or processing method of the material can effectively disperse or withstand stress, and there are no potential structural weaknesses. After confirming that the stress state of the material meets expectations, the system can continue to execute subsequent simulations. After finishing steps such as polishing, surface coating or other finishing processes, the material can enter the production or use stage without further correction or intervention. At the same time, the design or processing parameters are optimized to further improve the performance of the material in a specific environment. For example, the service life and stability of the material can be further improved by fine-tuning parameters such as cutting angle, processing accuracy or material thickness. The expected stress state is used as part of the final quality inspection to ensure that the product is within the quality standard range. Therefore, the product can enter the next step of quality verification to further ensure its reliability in actual application. For example, when the system determines that the difference information of the main direction of stress cannot meet the pre-set simulation expectations, At this time, the system will think that there are potential weaknesses in the current material processing method. The system will monitor the stress direction deviation in the stress concentration area in real time based on the strain sensor pre-installed at the processing back end, and dynamically correct the processing trajectory of the processed lens according to different stress direction deviations; by real-time monitoring the stress direction deviation in the stress concentration area, the system can timely discover and correct the deviations that occur during the processing process to avoid uneven stress distribution in the stress concentration area. This dynamic correction can effectively improve the processing accuracy, make the material performance meet the expected standards, and reduce defects and structural damage. At the same time, if the stress direction deviation is not corrected in time, potential cracks or rupture points may be formed in the stress concentration area, affecting the lens. Structural stability, that is, dynamically correcting the processing trajectory can effectively disperse stress and avoid harmful stress concentration areas during the processing, thereby improving the structural strength and durability of the lens, and real-time monitoring of stress direction deviations and corrections can avoid repeated processing and waste of materials, thereby improving processing efficiency, reducing later rework or losses caused by uneven stress, and improving the overall reliability and economic benefits of production. By correcting the processing trajectory to ensure that the stress distribution is consistent with the expected simulation, the surface and internal stress state of the final processed lens are more uniform, which helps to improve the performance of the lens in subsequent use, such as the compressive strength, crack resistance and service life of the lens can be improved.

[0138] It should be noted that, according to the strain sensor preset at the processing back end, the stress direction deviation of the stress concentration area is monitored in real time, and the processing trajectory of the processed lens is dynamically corrected according to the stress direction deviation. The specific examples are as follows:

[0139] Suppose a company is manufacturing high-precision optical lenses and using laser cutting technology to process the edges of the lenses. The lenses are used as lens components for high-end telescopes and require extremely precise processing to avoid any tiny defects that affect the optical performance of the lenses. The raw material of the lenses is a high-quality optical glass that is very sensitive to external forces. Any stress concentration area may cause cracks, deformation, or breakage during subsequent use.

[0140] Application of strain sensors: During the production process, multiple strain sensors are installed at the back end of the lens processing, distributed on the surface and inside of the lens; strain sensors can monitor stress changes in real time, especially at the edge of the lens and other high-stress areas; during the laser cutting process, strain sensors will perform detailed stress measurements on each point of the lens, especially stress concentration areas, which may be subjected to greater stress due to uneven laser cutting or cutting angle problems;

[0141] Detection of stress direction deviation: During the laser cutting process, suppose the system finds through the strain sensor that the stress distribution in the upper left corner of the lens is not in the predetermined direction. According to the design requirements, the stress should be distributed radially during the cutting process, but the actual situation is that the stress in this part has a tangential deviation, resulting in a large difference between the stress direction and the original trajectory. The sensor data shows that this deviation may cause excessive stress concentration in this area, increasing the risk of cracks or deformation.

[0142] Dynamically correct the processing trajectory. When the system detects the deviation of the stress direction through the strain sensor, the system will immediately perform data analysis to confirm whether the deviation exceeds the safety range. The system will compare the difference between the actual stress direction and the preset stress distribution and find that the deviation may cause potential crack problems. In order to eliminate this risk, the system decides to dynamically correct the cutting trajectory. Specifically, the system will adjust the laser cutting path so that the cutting angle is fine-tuned from the original path to a new direction so that the stress is evenly distributed in the correct direction. During this process, the system will also monitor the stress changes during the cutting process in real time to ensure that the stress will not be re-concentrated on the corrected trajectory.

[0143] Implementation effect: After the corrected cutting path, the stress distribution in the stress concentration area becomes more uniform, avoiding the problem of excessive local stress. The system monitors again through the strain sensor to confirm that the corrected path has restored the stress direction to the predetermined simulation expectation and no new deviation has been generated. Since the stress is no longer concentrated in a certain area, the risk of crack formation is greatly reduced, and the surface and internal stress state of the lens becomes more uniform. This correction improves the strength of the lens, especially at the edge and key stress concentration areas. The overall structure of the lens becomes more stable, effectively avoiding deformation or damage caused by uneven stress.

[0144] In summary, the above example successfully avoids potential cracks or breakages that may be caused by stress concentration by real-time monitoring of stress direction deviations and dynamically correcting the processing trajectory; in this high-precision lens processing, this technology ensures the quality and stability of each lens, especially in high-end optical devices that require extremely high precision and low tolerance. This process is crucial to the long-term stability and performance of the lens.

[0145] In this embodiment, the step S1 of identifying the internal stress information in the pre-selected material of the processed lens based on the pre-selected material of the processed lens at the processing back end further includes:

[0146] S11: Based on the lens types pre-selected by the processing back end, identifying the processing purposes corresponding to the lens types, wherein the lens types specifically include optical lenses, spectacle lenses and photographic lenses;

[0147] S12: Determine whether the processing purpose matches the preset standby field;

[0148] S13: If yes, then based on the processing purpose, the tolerance range of the processed lens is collected, and based on the tolerance range, the processing technology of the processed lens by the processing back end is obtained, and the applicable material of the processed lens is adaptively replaced, wherein the tolerance range specifically includes angle tolerance, curvature tolerance and thickness tolerance, and the applicable materials specifically include light-transmitting materials, wear-resistant materials and temperature-resistant materials.

[0149] In this embodiment, the system identifies the processing purposes corresponding to these lens types based on the lens types pre-selected by the processing back end, and the lens types specifically include optical lenses, eyeglass lenses and photographic lenses. The system then determines whether these processing purposes match the pre-set standby fields to execute the corresponding steps; for example, when the system determines that the processing purpose corresponding to the lens type cannot match the pre-set standby field, the system will consider that the design and processing direction of the lens may not be suitable for the current use requirements or application scenarios, and the system will re-evaluate the current lens processing requirements to ensure that the lens type matches the actual application. For example, if the system recognizes that a certain lens is selected for eyeglass lens processing, but its actual application field is for photographic lenses, this may mean that the optical requirements, surface treatment, thickness and other parameters of the lens do not meet the preset standards. At the same time, in the case of no match, the system can adjust the processing plan according to the actual application requirements. For example, if the material or shape of the eyeglass lens does not meet the requirements of the photographic lens, the system can select a different material or modify the structure of the lens, and may even need to replace the lens type, and feedback this mismatch to the design end to optimize the lens type and processing purpose. In the design stage, it is further confirmed which lens types match various application scenarios. , thereby avoiding problems in subsequent production; for example, when the system determines that the processing purpose corresponding to the lens type can match the pre-set standby field, the system will consider that the design and processing direction of the lens are suitable for the current use needs. The system will collect the tolerance range of the processed lens according to different processing purposes. The tolerance range specifically includes angle tolerance, curvature tolerance and thickness tolerance. Based on these tolerance ranges, the processing technology of the processed lens at the processing back end is obtained, and the applicable materials of the processed lens are adaptively replaced. The applicable materials specifically include light-transmitting materials, wear-resistant materials and temperature-resistant materials; the system collects parameters such as angle tolerance, curvature tolerance and thickness tolerance , can accurately control the processing accuracy of the lens, avoid errors in the processing process, and make the final lens meet the standards of specific fields (such as glasses, optical instruments or photographic lenses, etc.). At the same time, by accurately controlling the tolerance range and material usage, the system can greatly improve the consistency and repeatability of lens products, reduce the rework rate, and thus reduce the cost of production and quality control. It can also flexibly adjust the processing plan and material selection according to the changes in different lens types and processing purposes to meet personalized needs. Whether it is a high-precision optical lens or a lens with high temperature resistance and wear resistance, the system can provide customized solutions by adjusting the processing technology and materials.

[0150] Reference Figure 2 , is a stress distribution optimization system for lens processing in one embodiment of the present invention, comprising:

[0151] The identification module 10 is used to identify the internal stress information in the pre-selected material of the processed lens based on the pre-selected material of the processed lens at the processing back end, wherein the pre-selected material specifically includes optical glass, resin and plastic;

[0152] A judging module 20, used to judge whether the internal stress information exceeds a preset stress upper limit;

[0153] an execution module 30, configured to, if yes, perform a preset heat treatment on the preselected material through the processing back end, adjust the crystal structure in the preselected material, obtain a preset cutting method for the processed lens, dynamically adjust the cutting parameters of the processed lens according to the crystal structure and the cutting method, and detect the stress concentration area of ​​the processed lens, wherein the cutting method specifically includes laser cutting, mechanical cutting and water jet cutting, and the cutting parameters specifically include cutting angle, cutting direction and cutting level;

[0154] A second judgment module 40 is used to judge whether the stress concentration area matches a preset simulation distribution area;

[0155] The second execution module 50 is used to collect corresponding stress distribution data from the stress concentration area if there is a mismatch, perform secondary annealing on the processed lens based on the stress distribution data, release the processing residual stress in the stress concentration area, apply preset surface coating measures to adjust the surface stress state of the processed lens, introduce the internal stress of the coating material into the processed lens, and reset the stress state of the processed lens on the lens surface and inside the lens, wherein the surface coating measures specifically include low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating.

[0156] In this embodiment, the recognition module 10 identifies the internal stress information in the pre-selected materials for the processed lens based on the processing back end, and the pre-selected materials specifically include optical glass, resin and plastic, and then the judgment module 20 judges whether the internal stress information exceeds the preset stress upper limit to execute the corresponding steps; for example, when the system determines that the internal stress information in the pre-selected material does not exceed the preset stress upper limit, the system will consider that the internal stress of the material is within a safe range and will not have a negative impact on the subsequent processing process. The system will continue to perform subsequent processing steps, such as cutting, polishing, coating, etc., without the need for additional preprocessing or adjustment, and continue to use the current preset The cutting parameters, processing methods and process flow of the pre-selected material are as follows: because the internal stress does not exceed the limit, it means that under the current process conditions, the material processing process is unlikely to have stress concentration or damage, and no additional heat treatment, secondary annealing or surface coating adjustment is required, eliminating unnecessary steps, thereby improving production efficiency and reducing energy consumption and costs; for example, when the system determines that the internal stress information in the pre-selected material exceeds the preset stress upper limit, the execution module 30 will consider that the internal stress of the material is in a dangerous range and will affect subsequent processing. The system will perform a pre-set heat treatment on the pre-selected material through the processing back end, adjust the crystal structure in the pre-selected material, and obtain the pre-set cutting method for processing the lens. The specific cutting methods include laser cutting, mechanical cutting and water jet cutting. According to different crystal structures and cutting methods, the cutting parameters of the processed lens are dynamically adjusted. The cutting parameters specifically include cutting angle, cutting direction and cutting level, and the stress concentration area of ​​the processed lens is detected; the system adjusts the crystal structure in the material through preset heat treatment, effectively releases excessive internal stress, restores the material from the dangerous range to the safe range, prevents cracks or deformation due to excessive internal stress in subsequent processing, and ensures the stability of the material. At the same time, according to different crystal structures and cutting methods (laser cutting, mechanical cutting, water jet cutting), the cutting parameters (such as angle, direction and level) are dynamically adjusted to adapt to the material Characteristics, reduce the concentration of local stress during the cutting process, thereby improving cutting accuracy and reducing the incidence of processing defects. After cutting, the stress concentration area of ​​the lens is detected, which can quickly locate the potential abnormal stress distribution area, provide a clear direction for subsequent processing optimization, and further improve the reliability of the finished product. Through systematic internal stress adjustment and dynamic cutting parameter optimization, the cracking or deformation problems caused by the stress concentration area are reduced, and the optical performance and mechanical strength of the lens are significantly improved to meet the strict requirements of high-end optical systems and extend its service life. Then the second judgment module 40 judges whether these stress concentration areas match the pre-set simulated distribution areas to execute the corresponding steps;For example, when the system determines that these stress concentration areas can match the pre-set simulated distribution areas, the system will consider that the lens has good mechanical strength and anti-fracture performance under the current stress distribution state, and is suitable for continuing subsequent processing or directly entering the quality inspection stage. The system will continue processing directly according to the existing process route to ensure processing efficiency and stability. At the same time, since the stress concentration distribution meets expectations, the lens can be further processed, such as polishing, coating, etc., to improve the surface finish and optical performance of the lens, while enhancing durability and reliability. Even if the stress distribution meets expectations, standardized quality inspection procedures must still be performed, including tests of surface roughness, geometric tolerances, and optical performance to ensure that the processed lens meets product design requirements. For example, when the system determines that these stress concentration areas cannot match the pre-set simulated distribution areas, the second execution module 50 will consider that the lens is prone to fracture under the current stress distribution state and is not suitable for subsequent processing. The system will collect corresponding stress distribution data from the stress concentration area, and based on these stress distribution data, perform secondary annealing on the processed lens to release the processing residual stress in the stress concentration area, and apply pre-set surface coating measures to adjust the processing. The surface stress state of the lens. Surface coating measures include low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating. The internal stress of the coating material is introduced into the processed lens to reset the stress state of the processed lens on the lens surface and inside the lens. The system performs secondary annealing on the stress concentration area to effectively release the residual stress left over from the processing process, improve the stress distribution inside the lens, avoid crack extension or local rupture caused by stress concentration, and improve the structural integrity of the lens. At the same time, surface coating measures (such as low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating) are applied to introduce The internal stress of the coating material can balance the stress state of the lens surface and inside, enhance the mechanical strength and fatigue resistance of the lens, and improve the ability to resist external impact. The surface coating technology not only adjusts the stress state, but also improves the optical properties (such as transmittance, refractive index, etc.) and functional properties (such as scratch resistance and corrosion resistance) of the lens, further improving the quality and applicability of the finished product. By collecting stress distribution data and making adjustments, the system can accurately identify and solve the problem of abnormal stress distribution, so that the lens can meet the processing requirements again, thereby reducing the scrap rate and improving the yield rate and economic benefits of the production line. ;

[0157] In this embodiment, it also includes:

[0158] A division module, for dividing the high stress area corresponding to the microstructure based on the microstructure of the preselected material, wherein the microstructure specifically includes grain distribution, microcracks and pores;

[0159] A third judgment module is used to judge whether the stress value corresponding to the high stress area exceeds a preset material strength limit;

[0160] The third execution module is used for marking the areas to be optimized whose stress values ​​exceed the material strength limit from the high stress area, calculating the microcrack propagation rate and the weakening ratio of the pores to the compressive strength of the areas to be optimized according to the weakening ratio, identifying the stress defect distribution of the areas to be optimized according to the weakening ratio, and generating corresponding maintenance measures through the stress defect distribution, wherein the maintenance measures specifically include changing the material purity and improving the processing accuracy.

[0161] In this embodiment, the system divides the high stress areas corresponding to the microstructure based on the microstructure of the pre-selected material, which specifically includes grain distribution, microcracks and pores, and then the system determines whether the stress values ​​corresponding to these high stress areas exceed the preset material strength limit to execute the corresponding steps; for example, when the system determines that the stress values ​​corresponding to these high stress areas do not exceed the preset material strength limit, the system will believe that although there are microstructural defects such as uneven grain distribution, microcracks or pores in the pre-selected material, the local stress caused by these defects is still within the safe range of the material and will not cause damage to the material or significantly affect the subsequent processing performance. The system will dynamically determine the stress values ​​of the high stress areas based on the existing micro stress distribution. Adjust the cutting, polishing or heat treatment process parameters to ensure that the processing will not further increase the local stress, such as reducing the cutting rate or reducing the local heat input, so as to avoid the generation of new defects. At the same time, the material's stress resistance can be further improved through local strengthening measures, such as coating a strengthening film (such as anti-cracking coating) or performing local cold treatment on the high stress area to inhibit the potential stress expansion, and mark the high stress area as a potential risk area. These areas are monitored in real time during the subsequent processing. Once the stress value is found to be increasing due to the influence of the processing process, the warning is immediately activated and the process is adjusted. For example, when the system determines that the stress value corresponding to these high stress areas exceeds the preset material strength limit, At this time, the system will think that the pre-selected material will affect the subsequent processing performance. The system will mark the areas to be optimized where the stress value exceeds the material strength limit in these high stress areas. According to different areas to be optimized, the system will calculate the microcrack growth rate and the weakening ratio of the pore to the compressive strength, identify the stress defect distribution of the area to be optimized based on these weakening ratios, and generate corresponding maintenance measures through different stress defect distributions. The maintenance measures specifically include changing the material purity and improving the processing accuracy. By marking the areas to be optimized that exceed the material strength limit in the high stress area, the system can accurately locate the weak points of the material, thereby avoiding blind processing during processing and improving the efficiency of problem troubleshooting and optimization. At the same time, by calculating the microcrack growth rate and the pore strength The system can deeply analyze the specific impact of different defects on material properties and formulate targeted maintenance measures, such as improving material purity in areas with high microcrack density and optimizing machining accuracy in areas with slight machining errors, thereby fundamentally reducing the impact of stress defects on subsequent machining performance. By identifying the distribution of stress defects and implementing targeted maintenance measures, the risks brought by local stress concentration can be effectively alleviated, and problems such as material rupture and deformation caused by excessive stress can be avoided, thereby ensuring the smooth progress of subsequent processing. By generating maintenance measures based on different stress defect distributions, the system has the ability to dynamically adjust optimization strategies to adapt to different materials and processing requirements, and has higher flexibility and versatility.

[0162] In this embodiment, the execution module further includes:

[0163] A collection unit, used for acquiring three-dimensional shape data of the lens surface by using a preset three-dimensional scanner, and collecting surface characteristics of the processed lens based on the three-dimensional shape data, wherein the surface characteristics specifically include curvature change, edge thickness and surface ripples;

[0164] A judging unit, used to judge whether the surface characteristics meet the preset polishing conditions;

[0165] An execution unit is used to divide the lens surface into a preset number of uniform polishing areas, detect the surface roughness of the processed lens by a preset profilometer, identify the corresponding key polishing areas according to the surface roughness, and dynamically adjust the grid density of the uniform polishing areas and the key polishing areas according to the surface characteristics.

[0166] In this embodiment, the system uses a pre-set three-dimensional scanner to obtain three-dimensional shape data of the lens surface, and collects surface characteristics of the processed lens based on these three-dimensional shape data. The surface characteristics specifically include curvature change, edge thickness and surface ripples. Then the system determines whether the surface characteristics of the processed lens meet the preset polishing conditions to execute the corresponding steps; for example, when the system determines that the surface characteristics of the processed lens cannot meet the preset polishing conditions, the system will consider that the current surface state of the processed lens does not meet the requirements, such as excessive curvature change, uneven edge thickness or excessive surface ripples. These problems may cause uneven surface, excessive material loss, or even failure to achieve the required polishing process. The system will generate a detailed surface characteristics analysis report based on the 3D scanning data, marking the specific areas with large changes in curvature, uneven edge thickness or significant surface ripples. At the same time, for areas with large changes in curvature, the system will recommend re-cutting or adjusting the shape of the material surface. For uneven edge thickness, the system will recommend optimizing the edge grinding or cutting process to ensure thickness uniformity. If the surface ripples are significant, the system will recommend pre-polishing, using high-precision grinding equipment to reduce surface roughness, and re-scanning the processed lens with a 3D scanner to verify whether the adjusted surface characteristics meet the preset polishing conditions. If there are still deviations, the system will provide further adjustment suggestions to ensure that Ensure that the processing reaches the ideal state; for example, when the system determines that the surface characteristics of the processed lens can meet the preset polishing conditions, the system will consider that the current surface state of the processed lens can meet the processing requirements, and the system will divide the lens surface into a preset number of uniform polishing areas, detect the surface roughness of the processed lens through a pre-set profilometer, identify the corresponding key polishing areas according to different surface roughness, and dynamically adjust the grid density of the uniform polishing area and the key polishing area according to the surface characteristics; the system can achieve more accurate polishing operations by dividing the lens surface into uniform polishing areas and key polishing areas, and increasing the grid density in key areas helps to concentrate on optimizing the surface. Areas with higher surface roughness are optimized to improve the smoothness and uniformity of the overall surface, ensuring that the processed lens meets the optical performance requirements. At the same time, by dynamically adjusting the grid density, polishing resources (such as polishing time, pressure and abrasive distribution) are concentrated on key areas, which can avoid excessive polishing of low roughness areas, reduce material loss and improve polishing efficiency. This optimized allocation helps save time and cost while extending the service life of polishing equipment. The design of dynamically adjusting the polishing grid density is suitable for a variety of lens surface characteristics and complex shapes. For example, for aspheric lenses with large variations in surface roughness, the polishing strategy can be flexibly adjusted to adapt to the processing requirements of different areas to ensure that the surface of the processed lens achieves the ideal effect.

[0167] In this embodiment, the second execution module further includes:

[0168] A marking unit, used for drawing a stress distribution diagram of the lens surface and the inside of the lens based on the preset laser processing area of ​​the processed lens by the processing back end, using a preset polarizing stress meter, and marking the stress concentration area from the stress distribution diagram;

[0169] A second judgment unit is used to judge whether a preset potential crack position is detected in the stress concentration area;

[0170] The second execution unit is used to adaptively adjust the laser processing parameters of the laser equipment according to the preselected material, identify the preset spot diameter of the laser equipment, dynamically adjust the focus of the spot diameter and adapt it to the stress concentration area, locally heat the stress concentration area according to the spot diameter, and reset the internal stress distribution of the stress concentration area through the thermal expansion effect, wherein the laser processing parameters specifically include laser wavelength, power, frequency and focal length.

[0171] In this embodiment, the system uses a pre-set polarized stress meter to draw stress distribution maps on the lens surface and inside the lens based on the laser processing area pre-set for the processing lens at the processing back end, marks the corresponding stress concentration areas from the stress distribution map, and then the system determines whether the pre-set potential crack locations are detected in these stress concentration areas to execute the corresponding steps; for example, when the system determines that the stress concentration area corresponding to the stress distribution map does not detect the pre-set potential crack location, the system will consider that the current stress state of the lens is within the preset safety range, there is no risk of crack extension, and it is suitable to continue the subsequent processing operation. The system will re-scan the stress concentration area to detect the uniformity and stability of the stress distribution to ensure that no stress has occurred. At the same time, the system dynamically adjusts the power, pulse frequency and scanning path of the laser processing according to the current stress state to avoid new stress concentration caused by local thermal effects. If the stress value in the stress concentration area is high but does not exceed the crack risk threshold, the system will reduce the stress accumulation by reducing the laser power or increasing the cooling time, and combine ultrasonic or infrared detection technology to perform non-destructive detection of the stress concentration area to ensure that invisible defects will not affect the processing quality. After confirming that there are no potential cracks, the system will record the current detection data as a reference for subsequent quality tracking; for example, when the system determines that the stress concentration area corresponding to the stress distribution map detects a pre-set potential crack location, the system will consider the current stress concentration of the lens to be If there is a risk of stress state, the system will adaptively adjust the laser processing parameters of the laser equipment according to the pre-selected material. The laser processing parameters specifically include laser wavelength, power, frequency and focal length, identify the pre-set spot diameter of the laser equipment, dynamically adjust the spot diameter to focus and adapt to the stress concentration area, locally heat the stress concentration area according to the spot diameter, and reset the internal stress distribution of the stress concentration area through the thermal expansion effect; the system can effectively alleviate the trend of crack propagation by identifying and accurately processing the potential cracks in the stress concentration area, and reset the internal stress distribution of the area by using the thermal expansion effect caused by local laser heating, thereby reducing the degree of stress concentration and the possibility of crack propagation or material rupture, and dynamically adjust the laser The parameters of the optical equipment (such as wavelength, power, frequency and focal length) and the spot diameter enable the laser processing to accurately cover the stress concentration area to avoid over-processing or omission. This precise local processing method can optimize the overall stress distribution of the lens, ensure the integrity of the surface and internal structure, and for potential crack sites, the system reduces the risk of material failure due to stress concentration by resetting the stress distribution. This optimization treatment significantly improves the service life and safety performance of the lens in high-stress environments. The system can adaptively adjust the laser processing parameters according to different pre-selected material properties (such as glass, resin, plastic), making the processing process more targeted. The dynamic focusing of the spot diameter further improves the flexibility and efficiency of laser processing.

[0172] In this embodiment, the judgment module further includes:

[0173] A detection unit, used to detect the performance influence of the pre-selected material under a preset use environment based on the performance parameters of the pre-selected material, wherein the performance parameters specifically include elastic modulus, yield strength, tensile strength and Poisson's ratio, and the use environment specifically includes high temperature, low temperature and corrosive environment;

[0174] A third judgment unit is used to judge whether the performance impact reaches a preset impact upper limit;

[0175] The third execution unit is used to divide the material structure of the pre-selected material into regions, collect the corresponding stress state according to the region division, decompose the stress state into components in different directions, and detect stress excess in the different directions according to the components, wherein the region division specifically includes a stress concentration region, an edge region and a plane region, and the different directions specifically include axial, radial and tangential.

[0176] In this embodiment, the system detects the performance impact of the pre-selected material in a preset use environment based on the performance parameters of the pre-selected material, which specifically include elastic modulus, yield strength, tensile strength and Poisson's ratio. The use environment specifically includes high temperature, low temperature and corrosive environment, and then the system determines whether these performance impacts reach the preset impact upper limit to execute the corresponding steps; for example, when the system determines that the performance impact of the pre-selected material in the preset use environment does not reach the preset impact upper limit, the system will consider that the performance of the pre-selected material can meet the requirements of the current use environment, has sufficient safety margin and stability, and can directly enter the subsequent use or processing stage without additional processing or modification steps. The system will record the qualified pre-selected materials in the system database according to the performance parameters, and mark them as qualified materials suitable for the current use environment. At the same time, for high temperature environments, the parts with higher elastic modulus and tensile strength of the materials are preferentially selected and allocated to the processing of high temperature equipment components. For low temperature environments, ensure that the Poisson's ratio and yield strength of the materials meet the requirements of anti-brittle fracture and allocate them to applications in the low temperature field. For corrosive environments, select materials that meet the corrosion resistance indicators, perform surface treatment and allocate them to related structural parts, and And automatically generate processing parameters, including cutting methods, forming processes and surface treatment, etc., optimize the processing process according to the performance of the pre-selected materials to ensure that the performance remains stable in the subsequent processes; for example, when the system determines that the performance impact of the pre-selected material in the preset use environment reaches the preset upper limit of the impact, the system will think that the performance of the pre-selected material cannot meet the requirements of the current use environment, and the system will divide the material structure of the pre-selected material into regions, including stress concentration areas, edge areas and plane areas. According to the regional division, the corresponding stress state is collected, and different stress states are decomposed into components in different directions, including axial, radial and tangential directions. According to these components, stress over-limit in different directions is detected; by dividing the material into regions and decomposing the stress components, the system can accurately locate the specific problems of insufficient performance of the pre-selected materials, such as some areas may exceed the strength limit due to concentrated force, while other areas may cause local failure of the material under the superposition of stress in different directions, so as to avoid misjudgment of the material as a whole, and analyze and optimize more targetedly. At the same time, by detecting stress components in different directions (axial, radial and tangential), the system can provide data support for material design.According to the directional characteristics of excess stress, the structural design or distribution of the material is adjusted, such as adding edge reinforcement, improving plane uniformity, or optimizing the thickness and shape of the stress concentration area, thereby improving the performance of the material. According to the stress excess situation, the system can formulate further processing plans for the material, such as heat treatment of the stress concentration area to eliminate stress, coating the edge area to enhance durability, or directly replacing the material that does not meet the requirements, thereby ensuring the reliability of the final material in the target environment. By decomposing the stress state, the system can find the specific reasons why the material performance does not meet the standards, rather than directly denying the use value of the entire material. For example, if the stress exceeds the limit in only one direction, the problem can be solved by local strengthening or adjusting the process, rather than completely discarding the material, thus reducing waste and lowering costs.

[0177] In this embodiment, the second determination module further includes:

[0178] an identification unit, used to identify the directional distribution of the stress concentration area by applying a preset vector field form, and obtain difference information of the main direction of stress based on the directional distribution;

[0179] A fourth judgment unit, used to judge whether the difference information meets the preset simulation expectation;

[0180] The fourth execution unit is used to monitor the stress direction deviation of the stress concentration area in real time according to the strain sensor preset in the processing back end if no, and dynamically correct the processing trajectory of the processed lens according to the stress direction deviation.

[0181] In this embodiment, the system uses a pre-set vector field form to identify the directional distribution of the stress concentration area, and obtains the difference information of the main direction of stress based on different directional distributions. Then the system determines whether the difference information meets the pre-set simulation expectations to execute the corresponding steps; for example, when the system determines that the difference information of the main direction of stress can meet the pre-set simulation expectations, the system will believe that the stress distribution performance of the current material under the predetermined working conditions meets the design requirements, the structure or processing method of the material can effectively disperse or withstand stress, and there are no potential structural weaknesses. After confirming that the stress state of the material meets expectations, the system can continue to execute subsequent simulations. After finishing steps such as polishing, surface coating or other finishing processes, the material can enter the production or use stage without further correction or intervention. At the same time, the design or processing parameters are optimized to further improve the performance of the material in a specific environment. For example, the service life and stability of the material can be further improved by fine-tuning parameters such as cutting angle, processing accuracy or material thickness. The expected stress state is used as part of the final quality inspection to ensure that the product is within the quality standard range. Therefore, the product can enter the next step of quality verification to further ensure its reliability in actual application. For example, when the system determines that the difference information of the main direction of stress cannot meet the pre-set simulation expectations, At this time, the system will think that there are potential weaknesses in the current material processing method. The system will monitor the stress direction deviation in the stress concentration area in real time based on the strain sensor pre-installed at the processing back end, and dynamically correct the processing trajectory of the processed lens according to different stress direction deviations; by real-time monitoring the stress direction deviation in the stress concentration area, the system can timely discover and correct the deviations that occur during the processing process to avoid uneven stress distribution in the stress concentration area. This dynamic correction can effectively improve the processing accuracy, make the material performance meet the expected standards, and reduce defects and structural damage. At the same time, if the stress direction deviation is not corrected in time, potential cracks or rupture points may be formed in the stress concentration area, affecting the lens. Structural stability, that is, dynamically correcting the processing trajectory can effectively disperse stress and avoid harmful stress concentration areas during the processing, thereby improving the structural strength and durability of the lens, and real-time monitoring of stress direction deviations and corrections can avoid repeated processing and waste of materials, thereby improving processing efficiency, reducing later rework or losses caused by uneven stress, and improving the overall reliability and economic benefits of production. By correcting the processing trajectory to ensure that the stress distribution is consistent with the expected simulation, the surface and internal stress state of the final processed lens are more uniform, which helps to improve the performance of the lens in subsequent use, such as the compressive strength, crack resistance and service life of the lens can be improved.

[0182] In this embodiment, the identification module further includes:

[0183] A second identification unit is used to identify the processing purpose corresponding to the lens type based on the lens type pre-selected by the processing back end, wherein the lens type specifically includes optical lenses, spectacle lenses and photographic lenses;

[0184] A fifth judgment unit, used to judge whether the processing purpose matches a preset standby field;

[0185] The fifth execution unit is used to, if yes, collect the tolerance range of the processed lens according to the processing purpose, obtain the processing technology of the processed lens by the processing back end according to the tolerance range, and adaptively change the applicable material of the processed lens, wherein the tolerance range specifically includes angle tolerance, curvature tolerance and thickness tolerance, and the applicable materials specifically include light-transmitting materials, wear-resistant materials and temperature-resistant materials.

[0186] In this embodiment, the system identifies the processing purposes corresponding to these lens types based on the lens types pre-selected by the processing back end, and the lens types specifically include optical lenses, eyeglass lenses and photographic lenses. The system then determines whether these processing purposes match the pre-set standby fields to execute the corresponding steps; for example, when the system determines that the processing purpose corresponding to the lens type cannot match the pre-set standby field, the system will consider that the design and processing direction of the lens may not be suitable for the current use requirements or application scenarios, and the system will re-evaluate the current lens processing requirements to ensure that the lens type matches the actual application. For example, if the system recognizes that a certain lens is selected for eyeglass lens processing, but its actual application field is for photographic lenses, this may mean that the optical requirements, surface treatment, thickness and other parameters of the lens do not meet the preset standards. At the same time, in the case of no match, the system can adjust the processing plan according to the actual application requirements. For example, if the material or shape of the eyeglass lens does not meet the requirements of the photographic lens, the system can select a different material or modify the structure of the lens, and may even need to replace the lens type, and feedback this mismatch to the design end to optimize the lens type and processing purpose. In the design stage, it is further confirmed which lens types match various application scenarios. , thereby avoiding problems in subsequent production; for example, when the system determines that the processing purpose corresponding to the lens type can match the pre-set standby field, the system will consider that the design and processing direction of the lens are suitable for the current use needs. The system will collect the tolerance range of the processed lens according to different processing purposes. The tolerance range specifically includes angle tolerance, curvature tolerance and thickness tolerance. Based on these tolerance ranges, the processing technology of the processed lens at the processing back end is obtained, and the applicable materials of the processed lens are adaptively replaced. The applicable materials specifically include light-transmitting materials, wear-resistant materials and temperature-resistant materials; the system collects parameters such as angle tolerance, curvature tolerance and thickness tolerance , can accurately control the processing accuracy of the lens, avoid errors in the processing process, and make the final lens meet the standards of specific fields (such as glasses, optical instruments or photographic lenses, etc.). At the same time, by accurately controlling the tolerance range and material usage, the system can greatly improve the consistency and repeatability of lens products, reduce the rework rate, and thus reduce the cost of production and quality control. It can also flexibly adjust the processing plan and material selection according to the changes in different lens types and processing purposes to meet personalized needs. Whether it is a high-precision optical lens or a lens with high temperature resistance and wear resistance, the system can provide customized solutions by adjusting the processing technology and materials.

[0187] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing stress distribution in lens processing, characterized in that: The following steps are involved: Based on the pre-selected materials of the processed lens at the processing back end, identifying the internal stress information in the pre-selected materials, wherein the pre-selected materials specifically include optical glass, resin and plastic; Determining whether the internal stress information exceeds a preset stress upper limit; If yes, the pre-selected material is subjected to a preset heat treatment through the processing back end, the crystal structure in the pre-selected material is adjusted, a preset cutting method of the processed lens is obtained, and the cutting parameters of the processed lens are dynamically adjusted according to the crystal structure and the cutting method, and the stress concentration area of ​​the processed lens is detected, wherein the cutting method specifically includes laser cutting, mechanical cutting and water jet cutting, and the cutting parameters specifically include cutting angle, cutting direction and cutting level; Determining whether the stress concentration area matches a preset simulation distribution area; If there is no match, the corresponding stress distribution data is collected from the stress concentration area, and the processed lens is subjected to secondary annealing according to the stress distribution data to release the processing residual stress in the stress concentration area, and the surface stress state of the processed lens is adjusted by applying a preset surface coating measure, and the internal stress of the coating material is introduced into the processed lens, and the stress state of the processed lens on the lens surface and inside the lens is reset, wherein the surface coating measure specifically includes low-temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating; Wherein, the step of resetting the stress state of the processed lens on the lens surface and inside the lens further includes: Based on the preset laser processing area of ​​the processed lens by the processing back end, a preset polarized stress meter is used to draw a stress distribution map of the lens surface and the inside of the lens, and the stress concentration area is marked from the stress distribution map; Determining whether a preset potential crack location is detected in the stress concentration area; If so, the laser processing parameters of the laser device are adaptively adjusted according to the preselected material, the spot diameter preset by the laser device is identified, the spot diameter is dynamically adjusted to focus and adapt to the stress concentration area, the stress concentration area is locally heated according to the spot diameter, and the internal stress distribution of the stress concentration area is reset through the thermal expansion effect, wherein the laser processing parameters specifically include laser wavelength, power, frequency and focal length.

2. The method for optimizing stress distribution in lens processing according to claim 1, characterized in that: Before the step of detecting the stress concentration area of ​​the processed lens, the method further comprises: Based on the microstructure of the preselected material, dividing the high stress area corresponding to the microstructure, wherein the microstructure specifically includes grain distribution, microcracks and pores; Determining whether the stress value corresponding to the high stress area exceeds a preset material strength limit; If so, mark the area to be optimized whose stress value exceeds the material strength limit from the high stress area, calculate the microcrack propagation rate and the weakening ratio of the pore to the compressive strength according to the area to be optimized, identify the stress defect distribution of the area to be optimized according to the weakening ratio, and generate corresponding maintenance measures through the stress defect distribution, wherein the maintenance measures specifically include changing the material purity and improving the processing accuracy.

3. The method for optimizing stress distribution in lens processing according to claim 1, characterized in that: The step of dynamically adjusting the cutting parameters of the processed lens according to the crystal structure and the cutting method further includes: Using a preset three-dimensional scanner to obtain three-dimensional shape data of the lens surface, and collecting surface characteristics of the processed lens based on the three-dimensional shape data, wherein the surface characteristics specifically include curvature change, edge thickness and surface ripples; Determining whether the surface characteristics meet the preset polishing conditions; If so, the lens surface is divided into a preset number of uniform polishing areas, the surface roughness of the processed lens is detected by a preset profilometer, the corresponding key polishing areas are identified according to the surface roughness, and the grid density of the uniform polishing areas and the key polishing areas is dynamically adjusted according to the surface characteristics.

4. The method for optimizing stress distribution in lens processing according to claim 1, characterized in that: The step of determining whether the internal stress information exceeds a preset stress upper limit further includes: Based on the performance parameters of the preselected materials, detecting the performance impact of the preselected materials in a preset use environment, wherein the performance parameters specifically include elastic modulus, yield strength, tensile strength and Poisson's ratio, and the preset use environment specifically includes high temperature, low temperature and corrosive environment; Determine whether the performance impact reaches a preset impact upper limit; If so, the material structure of the preselected material is divided into regions, the corresponding stress state is collected according to the regional division, the stress state is decomposed into components in different directions, and the stress excess in the different directions is detected based on the components, wherein the regional division specifically includes a stress concentration area, an edge area and a plane area, and the different directions specifically include axial, radial and tangential.

5. The method for optimizing stress distribution in lens processing according to claim 1, characterized in that: The step of judging whether the stress concentration area matches the preset simulation distribution area further includes: Using a preset vector field form, identifying the directional distribution of the stress concentration area, and obtaining difference information of the main direction of stress based on the directional distribution; Determining whether the difference information meets the preset simulation expectations; If not, the stress direction deviation of the stress concentration area is monitored in real time according to the strain sensor preset at the processing back end, and the processing trajectory of the processed lens is dynamically corrected according to the stress direction deviation.

6. The method for optimizing stress distribution in lens processing according to claim 1, characterized in that: The step of identifying the internal stress information in the pre-selected material for processing the lens based on the processing back end further includes: Based on the lens types pre-selected by the processing backend, identifying the processing purposes corresponding to the lens types, wherein the lens types specifically include optical lenses, spectacle lenses and photographic lenses; Determining whether the processing purpose matches the preset standby field; If so, then according to the processing purpose, the tolerance range of the processed lens is collected, and based on the tolerance range, the processing technology of the processed lens by the processing back end is obtained, and the applicable material of the processed lens is adaptively replaced, wherein the tolerance range specifically includes angle tolerance, curvature tolerance and thickness tolerance, and the applicable materials specifically include light-transmitting materials, wear-resistant materials and temperature-resistant materials.

7. A stress distribution optimization system for lens processing, characterized in that: include: An identification module, used for identifying internal stress information in a pre-selected material for processing a lens based on a pre-selected material for processing at a processing back end, wherein the pre-selected material specifically includes optical glass, resin and plastic; A judgment module, used to judge whether the internal stress information exceeds a preset stress upper limit; an execution module, for, if yes, performing a preset heat treatment on the preselected material through the processing back end, adjusting the crystal structure in the preselected material, obtaining a preset cutting method for a processed lens, dynamically adjusting cutting parameters of the processed lens according to the crystal structure and the cutting method, and detecting a stress concentration area of ​​the processed lens, wherein the cutting method specifically includes laser cutting, mechanical cutting and water jet cutting, and the cutting parameters specifically include a cutting angle, a cutting direction and a cutting level; A second judgment module is used to judge whether the stress concentration area matches a preset simulation distribution area; A second execution module is used for collecting corresponding stress distribution data from the stress concentration area if there is no match, performing secondary annealing on the processed lens according to the stress distribution data, releasing the processing residual stress in the stress concentration area, applying a preset surface coating measure to adjust the surface stress state of the processed lens, introducing the internal stress of the coating material into the processed lens, and resetting the stress state of the processed lens on the lens surface and inside the lens, wherein the surface coating measure specifically includes low temperature coating, ion-assisted coating, laser-assisted coating and sputtering coating; The second execution module further includes: A marking unit, used for drawing a stress distribution diagram of the lens surface and the inside of the lens based on the preset laser processing area of ​​the processed lens by the processing back end, using a preset polarizing stress meter, and marking the stress concentration area from the stress distribution diagram; A second judgment unit is used to judge whether a preset potential crack position is detected in the stress concentration area; The second execution unit is used to adaptively adjust the laser processing parameters of the laser equipment according to the preselected material, identify the preset spot diameter of the laser equipment, dynamically adjust the focus of the spot diameter and adapt it to the stress concentration area, locally heat the stress concentration area according to the spot diameter, and reset the internal stress distribution of the stress concentration area through the thermal expansion effect, wherein the laser processing parameters specifically include laser wavelength, power, frequency and focal length.

8. The stress distribution optimization system for lens processing according to claim 7, characterized in that: Also includes: A division module, for dividing the high stress area corresponding to the microstructure based on the microstructure of the preselected material, wherein the microstructure specifically includes grain distribution, microcracks and pores; A third judgment module is used to judge whether the stress value corresponding to the high stress area exceeds a preset material strength limit; The third execution module is used for marking the areas to be optimized whose stress values ​​exceed the material strength limit from the high stress area, calculating the microcrack propagation rate and the weakening ratio of the pores to the compressive strength of the areas to be optimized according to the weakening ratio, identifying the stress defect distribution of the areas to be optimized according to the weakening ratio, and generating corresponding maintenance measures through the stress defect distribution, wherein the maintenance measures specifically include changing the material purity and improving the processing accuracy.

9. The stress distribution optimization system for lens processing according to claim 7, characterized in that: The execution module also includes: A collection unit, used for acquiring three-dimensional shape data of the lens surface by using a preset three-dimensional scanner, and collecting surface characteristics of the processed lens based on the three-dimensional shape data, wherein the surface characteristics specifically include curvature change, edge thickness and surface ripples; A judging unit, used to judge whether the surface characteristics meet the preset polishing conditions; An execution unit is used to divide the lens surface into a preset number of uniform polishing areas, detect the surface roughness of the processed lens by a preset profilometer, identify the corresponding key polishing areas according to the surface roughness, and dynamically adjust the grid density of the uniform polishing areas and the key polishing areas according to the surface characteristics.

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