Mobile phone middle frame metal protection support forming method based on continuous stamping die

Abstract

The invention provides a mobile phone middle frame metal protection support forming method based on a continuous stamping die, which comprises the following steps: by scanning the original geometric data of a miniature precision gear and the attribute data of a rare alloy material, simulating the initial stress distribution condition of the surface of the gear by adopting a finite element simulation technology; acquiring a preliminary stress distribution map including a stress concentration point location and a stress peak range; stress propagation paths and stress boundary condition data are extracted from the optimized stress atlas, stress concentration point positions are processed through the path smoothing technology for the complex curved surface structure of the micro gear, and a low-stress-distribution curved surface configuration scheme is obtained; and processing path planning and processing error tolerance data are extracted from a stable processing parameter combination, and processing pressure distribution is dynamically adjusted by adopting a real-time data correction technology aiming at the influence of a processing environment variable, so that an adaptive processing control scheme is obtained.

Description

Technical Field

[0001] This invention relates to the field of information technology, and in particular to a method for forming a metal protective bracket for a mobile phone frame based on a continuous stamping die. Background Technology

[0002] In the modern manufacturing sector, the production technology of precision structural components plays a crucial role in improving product performance and production efficiency.

[0003] Especially in the consumer electronics industry, the manufacturing precision and efficiency of components such as the metal protective bracket for the mid-frame of mobile phones directly affect the quality of the product and its market competitiveness.

[0004] Research in this field is not only at the forefront of technological innovation, but also an important direction for promoting industrial upgrading.

[0005] However, traditional production methods often reveal many shortcomings when faced with complex structural requirements, and innovation is urgently needed to meet the growing market challenges.

[0006] Traditionally, these precision parts are mostly produced using CNC machining, but this method is inefficient and costly when dealing with mass production.

[0007] More importantly, traditional processes struggle to adapt flexibly to changes in material properties when dealing with complex geometries and structures with non-uniform thicknesses, often leading to unstable quality during production.

[0008] This limitation not only increases manufacturing difficulty but also restricts product design diversity and innovation, causing the industry to encounter bottlenecks in its pursuit of higher performance and lower costs.

[0009] Focusing on specific technical challenges, the core issue lies in how to achieve a non-uniform distribution of material thickness during the processing.

[0010] In other words, the thickness of different areas on the same component needs to be precisely controlled from the original thicker state to different thinner states, and this change will directly affect the flow characteristics of the material during processing.

[0011] If material flow cannot be effectively controlled, stress concentration or uncontrolled deformation can easily occur in critical areas of the component.

[0012] For example, when producing the mid-frame of a mobile phone, some parts need to be compressed from a thicker state to a thinner state. This compression process can cause conflicts in the flow speed and direction of materials in different areas due to the inconsistency in thickness, which can lead to potential defects on the surface of the component or insufficient structural strength.

[0013] Therefore, how to precisely control the non-uniform changes in material thickness during processing, while ensuring the stability of material flow and the integrity of the overall component structure, has become a key issue for current technological breakthroughs.

[0014] Solving this problem is not only about improving production efficiency, but also directly affects the reliability and durability of products in practical applications. Summary of the Invention

[0015] This invention provides a method for forming a metal protective bracket for a mobile phone mid-frame based on a continuous stamping die, mainly including: By scanning the original geometric data and rare alloy material property data of the micro precision gear, the initial stress distribution on the gear surface is simulated using finite element simulation technology to obtain a preliminary stress distribution map including stress concentration points and stress peak range. Based on the preliminary stress distribution map, extract the stress gradient change and local stress anomaly data of the target area. If the local stress anomaly exceeds the preset threshold, recalculate and determine the optimized stress map that includes stress distribution uniformity by adjusting the simulation boundary conditions and mesh density. Stress propagation paths and stress boundary condition data are extracted from optimized stress maps. For the complex curved surface structure of micro gears, path smoothing technology is used to process stress concentration points, resulting in a curved surface configuration scheme with low stress distribution. Based on the curved surface configuration scheme with low stress distribution, the processing speed control and processing temperature range parameters of the micro gear are simulated. Multi-dimensional simulation is carried out in combination with processing pressure distribution data to determine whether the processing time interval is stable. If the processing time interval fluctuates beyond the preset threshold, the stable processing parameter combination is determined by adjusting the load parameters of the processing equipment. Processing path planning and processing error tolerance data are extracted from stable processing parameter combinations. Real-time data correction technology is used to dynamically adjust the processing pressure distribution in response to the influence of processing environmental variables, resulting in an adaptive processing control scheme. By adopting an adaptive machining control scheme, combining the overall structural data of micro gears and machining error tolerance, finite element verification technology is used to comprehensively evaluate the stress distribution uniformity and structural stability after machining, and to determine the final precision gear production control process.

[0016] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses a precision machining control method for micro-precision gears. By scanning the original geometric data and rare alloy material property data of the micro-precision gears, an initial stress distribution map is obtained using finite element simulation technology. Boundary conditions and mesh optimization are performed on stress concentration points and abnormal areas to obtain an optimized map with uniform stress distribution. Based on this map, stress propagation paths are extracted and path smoothing technology is applied to form a surface configuration scheme with low stress distribution. Subsequently, based on this scheme, machining speed, temperature, and pressure distribution are simulated, and equipment load parameters are dynamically adjusted to ensure stable machining time intervals. An adaptive machining control scheme is generated by combining real-time data correction technology. Finally, finite element verification is used to comprehensively evaluate the stress uniformity and structural stability after machining, forming a complete precision gear production control process. This invention effectively solves the core problems of machining deformation, fatigue failure, and difficulty in controlling precision in micro-precision gears due to complex surfaces and high stress concentrations. It achieves a high degree of unity between stress distribution optimization, stable machining parameters, and reliable finished product performance, significantly improving the manufacturing quality and service life of micro-precision gears. Attached Figure Description

[0017] Figure 1 This is a flowchart of a method for forming a metal protective bracket for a mobile phone frame based on a continuous stamping die, according to the present invention.

[0018] Figure 2 This is a schematic diagram of a method for forming a metal protective bracket for a mobile phone frame based on a continuous stamping die according to the present invention.

[0019] Figure 3 This is another schematic diagram of a method for forming a metal protective bracket for a mobile phone frame based on a continuous stamping die according to the present invention. Detailed Implementation

[0020] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] like Figures 1-3 This embodiment of a method for forming a metal protective bracket for a mobile phone mid-frame based on a continuous stamping die may specifically include: Step S101: By scanning the original geometric data and rare alloy material property data of the micro precision gear, the initial stress distribution of the gear surface is simulated using finite element simulation technology to obtain a preliminary stress distribution map containing stress concentration points and stress peak range.

[0022] Precise geometric data of the micro-gear and material property data of the rare alloy were acquired using scanning equipment to construct a three-dimensional digital model of the gear, obtaining an initial set of geometric and material parameters. Finite element method (FEM) simulation technology was used to perform stress analysis on the three-dimensional digital model. Mesh generation and boundary condition settings were applied to the geometric and material parameter sets to determine the initial stress distribution data on the gear surface. If abnormally high stress distribution areas existed in the initial stress distribution data, local mesh refinement techniques were used to refine these areas, obtaining more accurate stress distribution details. Based on the refined stress distribution details, specific stress concentration points were identified, and potentially risky areas were determined. For the identified stress concentration points, the corresponding peak range data was extracted to generate a stress distribution sub-map containing the points and ranges. By integrating the stress distribution sub-map with the overall gear model, a complete initial stress distribution map was constructed, yielding the final stress analysis results.

[0023] Step S102: Based on the preliminary stress distribution map, extract the stress gradient change and local stress anomaly data of the target area. If the local stress anomaly exceeds the preset threshold, recalculate and determine the optimized stress map that includes the uniformity of stress distribution by adjusting the simulation boundary conditions and mesh density.

[0024] By extracting data from the target region from the preliminary stress distribution map, the specific numerical distribution of stress gradient changes and local anomalies is obtained, determining the location and range of anomaly points. Based on the extracted stress gradient changes and local anomaly data, the locations of anomaly points are compared; if the anomaly value exceeds a preset threshold, subsequent processing is triggered to obtain the area requiring adjustment. Using a pre-established simulation condition database, boundary adjustment parameters matching the anomaly region are obtained to determine the applicable boundary condition combination. With the adjusted boundary conditions and a mesh density optimization tool, local mesh refinement is performed on the anomaly region to obtain updated mesh generation results. For the updated mesh generation results, a recalculation process is executed to obtain new stress distribution data and determine whether it meets the standard of uniform distribution. Based on the new stress distribution data, an optimized stress map is generated using visualization tools to determine the final stress distribution uniformity result. Through analysis of the optimized stress map, stress change trends in key areas are extracted to obtain reference data for subsequent simulation verification.

[0025] Step S103: Extract stress propagation path and stress boundary condition data from the optimized stress spectrum. For the complex curved surface structure of the micro gear, use path smoothing technology to process stress concentration points and obtain a curved surface configuration scheme with low stress distribution.

[0026] Stress distribution data of micro-gears is obtained from a stored stress map database. For complex curved surface structures, an automated extraction tool is used to separate propagation path and boundary condition data to obtain initial stress distribution information. The distribution of stress concentration points is analyzed based on the extracted propagation path data. If the stress values ​​at certain points exceed a preset threshold, path smoothing technology is used to locally adjust these points, determining the smoothed path data. Based on the smoothed path data and boundary condition data, a secondary analysis is performed on the stress concentration areas of the complex curved surface. Finite element analysis is used to simulate stress distribution changes, obtaining optimized stress distribution results. Using the optimized stress distribution results, multiple distribution schemes are generated for the curved surface structure of the micro-gear. The coverage range of low stress values ​​in each scheme is determined. If the coverage range does not meet the preset standard, local surface adjustments are made to the scheme to obtain a preliminary surface configuration scheme. Based on the preliminary surface configuration scheme, feature data of low stress value areas are extracted, and matching analysis is performed on the geometric constraints of the complex curved surface to determine the final surface configuration parameters. By using the final surface configuration parameters, the complex surface of the micro gear is digitally modeled to obtain complete low-stress distribution surface structure data. The modeling results are then judged to determine whether they meet the preset geometric and stress constraints. If they do not meet the constraints, the parameters are fine-tuned to obtain the final surface configuration scheme.

[0027] Step S104: Based on the low-stress distribution curved surface configuration scheme, simulate the processing speed control and processing temperature range parameters of the micro gear, and perform multi-dimensional simulation in combination with processing pressure distribution data to determine whether the processing time interval is stable. If the processing time interval fluctuates beyond the preset threshold, then determine a stable combination of processing parameters by adjusting the load parameters of the processing equipment.

[0028] Initial machining data for micro gears is obtained, from which basic values ​​for machining speed, temperature, and pressure are extracted. A preliminary matching is performed on a surface configuration scheme with low stress distribution to obtain an initial combination of machining parameters. Based on this initial combination, multi-dimensional simulation technology is used to simulate and analyze the machining speed, temperature, and pressure. During the simulation, fluctuations in machining time are recorded to determine the initial trend of the machining time interval. If the fluctuation exceeds a preset threshold, the machining speed and pressure are dynamically corrected by adjusting the equipment load parameters, and the stability of the corrected time interval is assessed. The stability judgment is then verified a second time using the corrected time interval data and the simulation results of the machining temperature, obtaining intermediate values ​​for the machining parameter combination and determining its stability range. Based on these intermediate values, the surface configuration scheme is fine-tuned, and the matching effect of machining pressure and speed is re-simulated to obtain an optimized parameter combination, taking into account the requirements of low stress distribution. Finally, a support vector machine algorithm is used to predict and analyze the long-term stability of the machining time interval, extracting potential fluctuation risks from the prediction results to determine the final machining parameter combination. By combining the final processing parameters, the processing of micro gears is recorded, the processing time interval and equipment load are continuously monitored, and real-time feedback data is obtained for subsequent analysis.

[0029] Step S105: Extract machining path planning and machining error tolerance data from stable machining parameter combinations. In response to the influence of machining environmental variables, use real-time data correction technology to dynamically adjust the machining pressure distribution to obtain an adaptive machining control scheme.

[0030] Step 1: Obtain relevant data on path planning and error tolerance from the processing parameter combinations, perform preliminary classification of the impact of environmental variables, and determine the set of key variables in the processing process. Step 2: Based on the set of key variables, acquire real-time data streams, collect environmental change information during processing through sensors, and obtain dynamic environmental variable update results. Step 3: Based on the dynamic environmental variable update results, analyze the processing pressure distribution using correction techniques. If the pressure distribution exceeds a preset threshold range, trigger an adjustment mechanism to determine a new pressure distribution adjustment scheme. Step 4: Based on the new pressure distribution adjustment scheme and combined with path planning data, dynamically adjust the operating trajectory of the processing equipment to obtain an optimized processing path configuration. Step 5: For the optimized processing path configuration, monitor changes in error tolerance in real time. If the error exceeds a predetermined range, fine-tune the processing parameters using correction techniques and assess the stability of the adjusted parameters. Step 6: Based on the stability results after parameter adjustment, generate an adaptive control processing scheme, and combine the latest data on pressure distribution and path configuration to determine the final processing control command. Step 7: Drive the processing equipment to perform the task through the final processing control command, record the environmental variables and pressure distribution data in real time during the execution process, and obtain complete processing process feedback information.

[0031] Step S106: Through an adaptive machining control scheme, combined with the overall structural data and machining error tolerance of the micro gear, finite element verification technology is used to comprehensively evaluate the stress distribution uniformity and structural stability after machining, and determine the final precision gear production control process.

[0032] By extracting key geometric parameters and material properties from the structural data of micro-gears, an initial digital model is constructed, providing the foundational data for subsequent analysis. Based on this initial digital model, the finite element method (FEM) is used to simulate and calculate the stress distribution during the machining process, obtaining preliminary results and identifying potential non-uniform regions. For these non-uniform regions identified in the preliminary results, the adaptive machining parameter settings are adjusted based on machining errors and their ranges, resulting in an optimized machining control scheme. Using this optimized control scheme, the FEM simulation is rerun to obtain updated stress distribution and structural stability evaluation data, determining whether the preset uniformity standard is met. If the updated stress distribution data does not meet the preset standard, the machining path in the control strategy is adjusted according to the location and severity of the non-uniform regions, resulting in a new machining parameter configuration. Using this new parameter configuration, the final production process data is generated, defining the details of the precision gear machining control process. If the final production process data shows that the structural stability meets the requirements in the simulation, this process data is solidified into a standard control scheme, obtaining a guidance document that can be used for actual production.

[0033] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for forming a metal protective bracket for a mobile phone mid-frame based on a continuous stamping die, characterized in that, The method includes: By scanning the original geometric data and rare alloy material property data of micro-precision gears, finite element simulation technology is used to simulate the initial stress distribution on the gear surface, obtaining a preliminary stress distribution map including stress concentration points and stress peak ranges. Based on the preliminary stress distribution map, stress gradient changes and local stress anomaly data in the target area are extracted. If the local stress anomaly exceeds a preset threshold, the simulation boundary conditions and mesh density are adjusted to recalculate and determine an optimized stress map including stress distribution uniformity. From the optimized stress map, stress propagation path and stress boundary condition data are extracted. For the complex curved surface structure of the micro-gear, path smoothing technology is used to process stress concentration points, resulting in a surface configuration scheme with low stress distribution. Based on the surface configuration scheme with low stress distribution... The process simulates the machining speed control and temperature range parameters of micro gears, and performs multi-dimensional simulations based on machining pressure distribution data to determine the stability of the machining time interval. If the machining time interval fluctuates beyond a preset threshold, the load parameters of the machining equipment are adjusted to determine a stable combination of machining parameters. Machining path planning and machining error tolerance data are extracted from the stable combination of machining parameters. Real-time data correction technology is used to dynamically adjust the machining pressure distribution to address the impact of machining environmental variables, resulting in an adaptive machining control scheme. Based on the adaptive machining control scheme, combined with the overall structural data of the micro gear and the machining error tolerance, finite element verification technology is used to comprehensively evaluate the uniformity of stress distribution and structural stability after machining, and to determine the final precision gear production control process.

2. The method for forming a metal protective bracket for a mobile phone mid-frame based on a continuous stamping die according to claim 1, characterized in that, The process involves scanning the original geometric data and rare alloy material property data of the micro-precision gear, and using finite element simulation technology to simulate the initial stress distribution on the gear surface to obtain a preliminary stress distribution map containing stress concentration points and stress peak ranges, including: Precise geometric data of micro gears and material property data of rare alloys are obtained by scanning equipment, and a three-dimensional digital model of the gear is constructed to obtain an initial set of geometric and material parameters. The finite element simulation technology was used to perform stress analysis on the three-dimensional digital model. Mesh generation and boundary condition setting were performed on the set of geometric and material parameters to determine the initial stress distribution data on the gear surface. If there are abnormally high value areas in the initial stress distribution data, the abnormal areas are refined using local mesh refinement technology to obtain more accurate stress distribution details. Based on the refined stress distribution details, the specific locations of stress concentrations are identified, and the locations of potentially risky areas are determined. For the identified stress concentration points, the corresponding peak range data is extracted to generate a stress distribution sub-map containing the points and ranges; By integrating the stress distribution sub-map with the overall gear model, a complete initial stress distribution map is constructed, and the final stress analysis results are obtained.

3. The method for forming a metal protective bracket for a mobile phone mid-frame based on a continuous stamping die according to claim 1, characterized in that, The process involves extracting stress gradient changes and local stress anomaly data in the target region based on the preliminary stress distribution map. If the local stress anomaly exceeds a preset threshold, the optimized stress map, including stress distribution uniformity, is recalculated and determined by adjusting the simulation boundary conditions and mesh density. By extracting data of the target area from the preliminary stress distribution map, the specific numerical distribution of stress gradient changes and local anomalies is obtained, and the location and range of anomaly points are determined. Based on the extracted stress gradient changes and local anomaly data, the location of the anomaly points is compared. If the anomaly value exceeds the preset threshold, the subsequent processing is triggered to obtain the range of areas that need to be adjusted. Using a pre-established simulation condition database, boundary adjustment parameters matching the abnormal region are obtained to determine the applicable combination of boundary conditions; By adjusting the boundary conditions and combining them with the mesh density optimization tool, the abnormal areas are locally meshed to obtain the updated mesh division results. For the updated mesh generation results, a recalculation process is executed to obtain new stress distribution data and determine whether the standard of uniform distribution is met. Based on the new stress distribution data, an optimized stress map is generated using visualization tools to determine the final stress distribution uniformity result; By analyzing the optimized stress spectrum, the stress variation trend in key areas is extracted, and reference data for subsequent simulation verification is obtained.

4. The method for forming a metal protective bracket for a mobile phone frame based on a continuous stamping die according to claim 1, characterized in that, The process involves extracting stress propagation paths and stress boundary condition data from optimized stress maps. For the complex curved surface structure of micro gears, path smoothing technology is used to process stress concentration points, resulting in a surface configuration scheme with low stress distribution. This includes: The stress distribution data of the micro gears is obtained from the stored stress spectrum database. For complex curved surface structures, an automated extraction tool is used to separate the propagation path and boundary condition data to obtain the initial stress distribution information. Based on the extracted propagation path data, the distribution of stress concentration points is analyzed. If the stress values ​​at some points exceed the preset threshold, these points are locally adjusted using path smoothing technology to determine the smoothed path data. Based on the smoothed path data and the boundary condition data, a secondary analysis is performed on the stress concentration region of the complex surface. The finite element analysis method is used to simulate the stress distribution change and obtain the optimized stress distribution results. Based on the optimized stress distribution results, multiple distribution schemes are generated for the curved surface structure of the micro gear. The coverage range of low stress values ​​in each scheme is determined. If the coverage range does not meet the preset standard, the scheme is adjusted locally to obtain a preliminary curved surface configuration scheme. Based on the preliminary surface configuration scheme, feature data of low stress value regions are extracted, and matching analysis is performed on the geometric constraints of complex surfaces to determine the final surface configuration parameters. By using the final surface configuration parameters, the complex surface of the micro gear is digitally modeled to obtain complete low-stress distribution surface structure data. The modeling results are then judged to determine whether they meet the preset geometric and stress constraints. If they do not meet the constraints, the parameters are fine-tuned to obtain the final surface configuration scheme.

5. The method for forming a metal protective bracket for a mobile phone mid-frame based on a continuous stamping die according to claim 1, characterized in that, The process involves simulating the machining speed control and temperature range parameters of micro-gears based on a low-stress distribution curved surface configuration scheme. Multi-dimensional simulation is performed using machining pressure distribution data to determine the stability of the machining time interval. If the machining time interval fluctuates beyond a preset threshold, a stable combination of machining parameters is determined by adjusting the load parameters of the machining equipment. This includes: The initial machining data of the micro gear is obtained, and the basic values ​​of machining speed, machining temperature and machining pressure are extracted from it. The initial matching is performed on the surface configuration scheme with low stress distribution to obtain the initial combination of machining parameters. Based on the initial combination, multi-dimensional simulation technology is used to simulate and analyze the processing speed, processing temperature and processing pressure. During the simulation, the fluctuation of processing time is recorded to determine the initial trend of the processing time interval. If the fluctuation value exceeds the preset threshold, the processing speed and processing pressure are dynamically corrected by adjusting the equipment load parameter settings, and it is determined whether the time interval after correction tends to be stable. By combining the corrected time interval data with the simulation results of the processing temperature, the stability judgment is verified a second time, the intermediate state value of the processing parameter combination is obtained, and the stability range of the parameter combination is determined. Based on the intermediate state value, the surface configuration scheme is fine-tuned. In combination with the requirement of low stress distribution, the matching effect of processing pressure and processing speed is re-simulated to obtain the optimized parameter combination. For the optimized parameter combination, the support vector machine algorithm is used to predict and analyze the long-term stability of the processing time interval, extract potential fluctuation risks from the prediction results, and determine the final processing parameter combination. By combining the final processing parameters, the processing of micro gears is recorded, the processing time interval and equipment load are continuously monitored, and real-time feedback data is obtained for subsequent analysis.

6. The method for forming a metal protective bracket for a mobile phone frame based on a continuous stamping die according to claim 1, characterized in that, The process involves extracting machining path planning and machining error tolerance data from stable combinations of machining parameters, and dynamically adjusting the machining pressure distribution using real-time data correction technology to address the impact of machining environmental variables, resulting in an adaptive machining control scheme, including: Step 1: Obtain relevant data on path planning and error tolerance from the combination of processing parameters, conduct preliminary classification of the impact of environmental variables, and determine the set of key variables in the processing process; Step 2: Based on the set of key variables, obtain real-time data streams, collect environmental change information during the processing through sensors, and obtain dynamic environmental variable update results; Step 3: Based on the dynamic environmental variable update results, the processing pressure distribution is analyzed using correction techniques. If the pressure distribution exceeds the preset threshold range, an adjustment mechanism is triggered to determine a new pressure distribution adjustment scheme. Step 4: Based on the new pressure distribution adjustment scheme and combined with path planning data, dynamically adjust the operating trajectory of the processing equipment to obtain the optimized processing path configuration; Step 5: For the optimized processing path configuration, monitor the changes in error tolerance in real time. If the error exceeds the predetermined range, fine-tune the processing parameters through correction technology and judge the stability of the adjusted parameters. Step 6: Based on the stability results after parameter adjustment, generate an adaptive control machining scheme, and combine the latest data on pressure distribution and path configuration to determine the final machining control command; Step 7: Drive the processing equipment to perform the task through the final processing control command, record the environmental variables and pressure distribution data in real time during the execution process, and obtain complete processing process feedback information.

7. The method for forming a metal protective bracket for a mobile phone frame based on a continuous stamping die according to claim 1, characterized in that, The adaptive machining control scheme, combined with the overall structural data and machining error tolerance of the micro gear, uses finite element verification technology to comprehensively evaluate the stress distribution uniformity and structural stability after machining, and determines the final precision gear production control process, including: By obtaining key geometric parameters and material properties from the structural data of micro gears, an initial digital model is constructed, providing the basic data for subsequent analysis. Based on the initial digital model, the stress distribution during the processing is simulated and calculated using the finite element method to obtain preliminary results of the stress distribution and identify potential non-uniform regions. For the uneven areas in the preliminary results, the parameters for adaptive machining are adjusted based on the data of machining error and error range, resulting in an optimized machining control scheme. By re-running the finite element method simulation with the optimized processing control scheme, the updated stress distribution and structural stability evaluation data are obtained to determine whether the preset uniformity standard is met. If the updated stress distribution data does not meet the preset standard, the processing path in the control strategy is adjusted according to the location and degree of the non-uniform area to obtain a new processing parameter configuration. By configuring new machining parameters, the final production process data is generated, and the details of the machining control process for precision gears are determined. If the final production process data shows that the structural stability meets the requirements in the simulation, then the process data is solidified into a standard control scheme, and guidance documents that can be used for actual production are obtained.

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