Self-adaptive edge detection and automatic trimming system for trimming hardware die castings

Abstract

According to the self-adaptive edge detection and automatic trimming system for hardware die casting trimming, precise detection and visual positioning of cracks of hardware die castings are achieved through combination of a crack detection module and a temperature imaging technology, constant-temperature heating liquid and heat absorption particles are injected in a high-pressure environment, and the hardware die castings are subjected to edge trimming through the self-adaptive edge detection and automatic trimming system. The heat-absorbing particles infiltrated into the cracks are represented as high-temperature signals in a temperature imager due to the remarkable temperature difference characteristic, so that an accurate position map of crack distribution is generated, the problem of poor adaptability to complex geometrical shapes in a traditional detection method is effectively solved, meanwhile, subsequent trimming damage caused by crack missing detection is avoided, and in addition, the detection accuracy is improved. The surface cleaning device ensures cleaning treatment of liquid and particles in the detection process, through linkage of the crack detection module and the self-adaptive edge detection module, the system can correct and avoid a crack area in real time, and finally efficient, safe and accurate trimming machining is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of trimming systems, and more particularly to an adaptive edge detection and automated trimming system for trimming metal die castings. Background Art

[0002] During the production of metal die-cast parts, the complexity of the casting process and the internal stress generated by the shrinkage of the metal material after cooling from high temperatures often lead to weak areas at the edges of the parts, which are prone to small cracks or gaps. These edge cracks may be difficult to detect with the naked eye at first, but during subsequent processing, especially trimming operations, due to stress concentration or processing vibration, the cracks may further expand and even cause the edge of the part to break, seriously affecting the quality stability and service life of the product.

[0003] Existing edge detection methods usually rely on penetrant testing, ultrasonic testing or optical testing technology, but these methods have certain limitations in the precise positioning of cracks, visualization effects and the ability to adapt to complex geometric shapes. For example, penetrant testing requires a long operation time and has the risk of contamination. Ultrasonic testing has low detection accuracy for parts with complex shapes, and optical testing is prone to missed detection or false detection when the cracks are small or there is interference on the surface. These technologies are difficult to meet the needs of crack detection before high-precision trimming, resulting in cracks not being detected and affecting the quality of subsequent processing.

[0004] Therefore, in response to the above technical problems, it is necessary to provide an adaptive edge detection and automatic trimming system for trimming of metal die castings. Summary of the Invention

[0005] The object of the present invention is to provide an adaptive edge detection and automated trimming system for trimming of metal die castings to solve the above-mentioned problems.

[0006] In order to achieve the above-mentioned purpose, the technical solution provided by one embodiment of the present invention is as follows:

[0007] Adaptive edge detection and automated trimming system for metal die castings, including:

[0008] Crack detection module: used to place the metal die-casting in a closed environment containing heated liquid and heat-absorbing particles and pressurize it. The excess heated liquid and heat-absorbing particles are then removed from the surface of the metal die-casting. Finally, a temperature imager is used to detect the crack location.

[0009] Adaptive edge detection module: includes a visual sensor and an adaptive algorithm unit, which is used to dynamically adjust detection parameters based on the geometric characteristics, edge complexity, and crack distribution information of the metal die-casting, and generate edge feature models and trimming paths;

[0010] Particle recovery module: used to recover heat-absorbing particles after the test is completed, including liquid filtration device, centrifugal separation device and cleaning equipment;

[0011] Automatic trimming module: includes a path planning unit and a mechanical trimming unit, which is used to perform trimming operations to avoid crack areas based on the edge data generated by the crack detection module and the adaptive edge detection module.

[0012] The adaptive edge detection module includes:

[0013] Vision sensors are used to capture edge images of metal die-casting parts;

[0014] Adaptive algorithm unit, including:

[0015] Edge detection algorithm, used to dynamically adjust detection threshold, resolution and feature extraction parameters to adapt to metal die-casting parts of different shapes and materials;

[0016] The crack correction algorithm corrects the edge detection results based on the crack position data provided by the crack detection module and generates an optimized trimming path.

[0017] The adaptive edge detection module further comprises:

[0018] The real-time feedback unit is used to collect edge change information of the workpiece through sensors during the trimming process, and dynamically optimize the detection results and trimming path.

[0019] The temperature imaging unit of the crack detection module is linked to the adaptive edge detection module to dynamically adjust the edge detection threshold based on the thermal imaging data to improve the resolution of edges and cracks.

[0020] The crack detection module includes a heating liquid supply device, a heat-absorbing particle injection device and a surface cleaning device. The heating liquid supply device includes:

[0021] a liquid storage unit for storing heated liquid;

[0022] The heating unit is used to heat the liquid at a constant temperature to ensure the temperature of the injected liquid is stable;

[0023] a flow control unit, including a piping system and an adjustable valve, for regulating the flow rate and injection pressure of the heating liquid;

[0024] High-pressure control unit: Through the high-pressure pump and pressure regulator, a uniform high-pressure environment is applied to the surface of the metal die-casting to ensure that the liquid and heat-absorbing particles can fully penetrate into the crack area;

[0025] The heat-absorbing particle injection device comprises:

[0026] a particle storage container for storing heat-absorbing particles;

[0027] a particle mixing unit for uniformly mixing heat-absorbing particles into a heating liquid to form a particle-containing heating liquid;

[0028] Particle concentration control unit, used to adjust the concentration of heat-absorbing particles in the liquid to adapt to different crack detection requirements;

[0029] The surface cleaning device comprises:

[0030] Liquid recovery unit: removes excess heating liquid and heat-absorbing particles from the surface of metal die castings through scrapers.

[0031] The crack detection module uses a temperature imager to capture the temperature difference of the crack area in real time, and combines it with an image processing algorithm to generate an accurate position map of the crack distribution.

[0032] The particle recovery module removes impurities through a liquid filtration device and utilizes a centrifugal separation device and a cleaning device to achieve efficient recovery and recycling of heat-absorbing particles.

[0033] The particle recovery module includes an automatic monitoring device for detecting the recovery efficiency of the heat-absorbing particles and the reusability of the particles in real time.

[0034] The automatic trimming module includes:

[0035] Path planning unit: used to dynamically adjust the trimming path based on the edge feature model and crack distribution information generated by the adaptive edge detection module;

[0036] Trimming area priority adjustment unit: based on the edge complexity and crack distribution, it prioritizes trimming of easy-to-process areas and performs protective avoidance on crack areas;

[0037] Edge complexity recognition unit: used to evaluate the complexity of the edge of metal die-casting parts and adjust the path and working parameters of the trimming tool according to the complexity;

[0038] Mechanical trimming unit: Through the linkage of multi-degree-of-freedom robotic arm and adaptive edge detection module, precise trimming of complex edges can be achieved.

[0039] The system further comprises:

[0040] Real-time monitoring and feedback module: used to collect real-time data during the trimming process and dynamically adjust the trimming path to ensure the consistency of the trimming operation and edge detection results;

[0041] The data storage and learning module is used to store crack data, edge feature models and trimming paths, and optimize the edge detection and trimming paths of subsequent workpieces through adaptive algorithms.

[0042] Compared with the prior art, the advantages of the present invention are:

[0043] This solution combines a crack detection module with temperature imaging technology to achieve accurate detection and visual positioning of cracks in hardware die-castings. Constant temperature heating liquid and heat-absorbing particles are injected into a high-pressure environment. The heat-absorbing particles that penetrate into the cracks appear as high-temperature signals in the temperature imager due to their significant temperature difference characteristics, thereby generating an accurate position map of the crack distribution, effectively solving the problem of poor adaptability to complex geometric shapes in traditional detection methods, while avoiding subsequent trimming damage caused by missed crack detection. In addition, the surface cleaning device ensures the clean treatment of liquid and particles during the detection process, and the particle recovery module realizes the recycling of detection materials, further reducing costs and improving environmental performance. Through the linkage of the crack detection module and the adaptive edge detection module, the system can perform real-time correction and avoidance of crack areas, ultimately achieving efficient, safe and accurate trimming processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 Schematic diagram of the adaptive edge detection and automatic trimming system of the present invention;

[0045] Figure 2 This is a schematic diagram of the operating structure of the crack detection module of the present invention;

[0046] Figure 3 Schematic diagram of detecting gaps in hardware castings of the present invention;

[0047] Figure 4 This is a schematic diagram of the interior of the detection gap of the hardware casting of the present invention. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention; it is obvious that the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0049] Example:

[0050] See also Figure 1-4 , adaptive edge detection and automated trimming system for metal die castings, including:

[0051] Crack detection module: used to place the metal die-casting in a closed environment containing heated liquid and heat-absorbing particles and pressurize it. The excess heated liquid and heat-absorbing particles are then removed from the surface of the metal die-casting. Finally, a temperature imager is used to detect the crack location.

[0052] Adaptive edge detection module: includes a visual sensor and an adaptive algorithm unit, which is used to dynamically adjust detection parameters based on the geometric characteristics, edge complexity, and crack distribution information of the metal die-casting, and generate edge feature models and trimming paths;

[0053] Particle recovery module: used to recover heat-absorbing particles after the test is completed, including liquid filtration device, centrifugal separation device and cleaning equipment;

[0054] Automatic trimming module: includes a path planning unit and a mechanical trimming unit, which is used to perform trimming operations to avoid crack areas based on the edge data generated by the crack detection module and the adaptive edge detection module.

[0055] Among them, the crack detection module is combined with temperature imaging technology to achieve accurate detection and visual positioning of cracks in hardware die-castings. Constant temperature heating liquid and heat-absorbing particles are injected into the high-pressure environment. The heat-absorbing particles that penetrate into the cracks appear as high-temperature signals in the temperature imager due to their significant temperature difference characteristics, thereby generating an accurate position map of the crack distribution, which effectively solves the problem of poor adaptability to complex geometric shapes in traditional detection methods, and avoids subsequent trimming damage caused by missed crack detection. In addition, the surface cleaning device ensures the clean treatment of liquid and particles during the detection process, and the particle recovery module realizes the recycling of detection materials, further reducing costs and improving environmental protection performance. Through the linkage of the crack detection module and the adaptive edge detection module, the system can perform real-time correction and avoidance of crack areas, ultimately achieving efficient, safe and accurate trimming processing.

[0056] The adaptive edge detection module includes:

[0057] Vision sensors are used to capture edge images of metal die-casting parts;

[0058] Adaptive algorithm unit, including:

[0059] Edge detection algorithm, used to dynamically adjust detection threshold, resolution and feature extraction parameters to adapt to metal die-casting parts of different shapes and materials;

[0060] The crack correction algorithm corrects the edge detection results based on the crack position data provided by the crack detection module and generates an optimized trimming path.

[0061] Among them, the adaptive edge detection module captures the edge image of the metal die-casting through the visual sensor, and combines the adaptive algorithm unit to intelligently analyze and process the edge features, realizing high-precision edge detection and trimming path planning for complex workpieces.

[0062] After the visual sensor acquires a high-definition image, the edge detection algorithm dynamically adjusts the detection parameters (such as detection threshold, resolution, and feature extraction accuracy) according to the geometric shape and material of the workpiece, accurately extracts edge features, and adapts to hardware die-castings of different shapes and materials. At the same time, the crack correction algorithm uses the crack position data provided by the crack detection module to correct the detected edge features and remove the crack area from the trimming path, thereby ensuring that the trimming tool does not cause secondary damage to the crack area.

[0063] This module ultimately generates an optimized trimming path and provides it to the automatic trimming module for execution. Leveraging the high-resolution imaging of the vision sensor and the dynamic adjustment capabilities of the algorithm, this module significantly improves detection accuracy and processing efficiency, avoids crack damage, and enables precise trimming of complex edges, improving product quality and consistency while reducing scrap rates and production costs.

[0064] The adaptive edge detection module further comprises:

[0065] The real-time feedback unit is used to collect edge change information of the workpiece through sensors during the trimming process, and dynamically optimize the detection results and trimming path.

[0066] The temperature imaging unit of the crack detection module is linked to the adaptive edge detection module to dynamically adjust the edge detection threshold based on thermal imaging data to improve the resolution of edges and cracks.

[0067] Among them, the adaptive edge detection module further integrates the linkage functions of the real-time feedback unit and the crack detection module to realize dynamic adjustment and optimization of the trimming process. The real-time feedback unit collects the change information of the workpiece edge in real time during the trimming process through high-precision sensors. It can perceive the deviation caused by workpiece deformation, environmental factors or tool wear during the processing process, and dynamically optimize the detection results and trimming path in time to ensure the trimming accuracy and consistency.

[0068] At the same time, the temperature imaging unit of the crack detection module is linked to the adaptive edge detection module. By collecting thermal imaging data of the crack area, the threshold and algorithm parameters of edge detection are dynamically adjusted to enable edge detection to have higher resolution in the crack area. Through this real-time feedback and linkage mechanism, the system can adapt to complex working conditions and accurately identify and process edges and crack areas, thereby improving trimming quality, protecting crack areas, and further improving processing efficiency and product reliability.

[0069] The crack detection module includes a heating liquid supply device, a heat-absorbing particle injection device and a surface cleaning device. The heating liquid supply device includes:

[0070] a liquid storage unit for storing heated liquid;

[0071] The heating unit is used to heat the liquid at a constant temperature to ensure the temperature of the injected liquid is stable;

[0072] a flow control unit, including a piping system and an adjustable valve, for regulating the flow rate and injection pressure of the heating liquid;

[0073] High-pressure control unit: Through the high-pressure pump and pressure regulator, a uniform high-pressure environment is applied to the surface of the metal die-casting to ensure that the liquid and heat-absorbing particles can fully penetrate into the crack area;

[0074] The heat-absorbing particle injection device includes:

[0075] a particle storage container for storing heat-absorbing particles;

[0076] a particle mixing unit for uniformly mixing heat-absorbing particles into a heating liquid to form a particle-containing heating liquid;

[0077] Particle concentration control unit, used to adjust the concentration of heat-absorbing particles in the liquid to adapt to different crack detection requirements;

[0078] Surface cleaning equipment includes:

[0079] Liquid recovery unit: removes excess heating liquid and heat-absorbing particles from the surface of metal die castings through scrapers.

[0080] Among them, the crack detection module realizes accurate detection of cracks in metal die-castings through the synergistic effect of the heated liquid supply device, the heat-absorbing particle injection device and the surface cleaning device. Its design targets the crack problems that may be caused by the casting method of metal die-castings, avoiding the risk of part damage due to crack expansion during direct trimming. The entire detection process is carried out in a closed environment. Through high-pressure injection of heated liquid and heat-absorbing particles, combined with temperature imaging technology, the crack location and size can be effectively identified, thereby providing reliable data support for subsequent trimming.

[0081] First, the heating liquid supply device is responsible for providing constant and stable heating liquid, and the liquid storage unit is used to store the heating liquid; the heating unit heats the liquid at a constant temperature to ensure that the liquid temperature is uniform and stable; the flow control unit adjusts the flow and injection pressure of the heating liquid through the pipeline system and adjustable valves to ensure that the liquid can cover the surface of the workpiece; the high-pressure control unit applies a uniform high-pressure environment on the surface of the hardware die-casting through a high-pressure pump and pressure regulator, so that the liquid and heat-absorbing particles can fully penetrate into possible cracks to ensure that the cracks are filled with detection medium.

[0082] Secondly, the heat-absorbing particle injection device stores heat-absorbing particles in a particle storage container. The particle mixing unit evenly mixes the heat-absorbing particles into the heated liquid, forming a particle-containing heated liquid. The particle concentration control unit precisely adjusts the concentration of the heat-absorbing particles in the liquid according to the detection requirements, ensuring uniform particle distribution and detection sensitivity. The heat-absorbing particles have excellent heat absorption properties, and the temperature difference between them and the heated liquid is the core principle of crack detection.

[0083] The choice of heating fluid must meet the following characteristics: stable thermal conductivity, appropriate fluidity, high-temperature stability, and compatibility with the metal die-casting material. Specific options include water-based thermal fluids or silicone oils.

[0084] The heat-absorbing particles selected must have high heat capacity, excellent heat absorption performance, be easy to mix with the heated liquid, be able to produce significant thermal contrast signals in temperature imaging, and be recyclable. Specific optional materials include alumina particles or silica particles.

[0085] Subsequently, the surface cleaning device starts the liquid recovery unit, which efficiently removes excess heated liquid and heat-absorbing particles from the surface of the metal die-casting through a scraper or vacuum adsorption device, ensuring a clean surface and providing good imaging conditions for subsequent inspections.

[0086] Finally, a temperature imager is used to inspect the surface of the cleaned metal die-casting. If there are cracks in the workpiece, the heat-absorbing particles that penetrate into the cracks under high-pressure conditions will appear as high-temperature signals due to their heat-absorbing characteristics, and will appear as obvious high-temperature spots in the temperature imager, thereby accurately determining the size and distribution of the cracks. If no high-temperature particles are detected, it can be determined that there are no cracks on the workpiece surface. This process does not require destroying the workpiece, and the detection results are intuitive and reliable, which can effectively avoid the problem of part damage in the subsequent trimming process due to undetected cracks.

[0087] After cracks are detected, the heat-absorbing particles and heating liquid in the cracks can be thoroughly cleaned through non-destructive methods such as vacuum suction, ultrasonic cleaning or high-pressure water flow. At the same time, the workpiece surface is treated using directional airflow blowing and hot air or infrared drying technology to ensure that there is no residue inside and on the surface of the cracks. The cleaning process not only protects the integrity of the workpiece, but also provides clean processing conditions for subsequent trimming, significantly improving the trimming accuracy and product quality. At the same time, the recovered heat-absorbing particles can be recycled, reducing production costs and improving environmental performance.

[0088] The crack detection module uses a temperature imager to capture the temperature difference in the crack area in real time, and combines it with an image processing algorithm to generate an accurate location map of the crack distribution.

[0089] The particle recovery module removes impurities through a liquid filtration device, and uses a centrifugal separation device and cleaning equipment to achieve efficient recovery and recycling of heat-absorbing particles.

[0090] The particle recovery module includes an automatic monitoring device for real-time detection of the recovery efficiency of the heat-absorbing particles and the reusability of the particles.

[0091] Among them, the crack detection module uses a temperature imager to capture the temperature difference between the surface and internal crack area of ​​the hardware die-casting in real time, uses an image processing algorithm to analyze the temperature imaging data, and generates an accurate position map of the crack distribution, providing a reliable basis for accurate positioning of the crack position and subsequent processing.

[0092] The particle recovery module uses a liquid filtration device to perform primary and precision filtration on the mixed liquid to remove impurities and unused heat-absorbing particles, and uses a centrifugal separation device to efficiently separate the particles and liquid. At the same time, the recovered heat-absorbing particles are cleaned and dried by a cleaning device to ensure that their performance is not affected and to achieve the recycling of the particles. In addition, the particle recovery module also includes an automatic monitoring device to detect the recovery efficiency of the heat-absorbing particles, as well as the integrity and reusability of the particles in real time. The recovery process is optimized through data feedback to further improve the economy and environmental performance of the system.

[0093] Automatic trimming module includes:

[0094] Path planning unit: used to dynamically adjust the trimming path based on the edge feature model and crack distribution information generated by the adaptive edge detection module;

[0095] Trimming area priority adjustment unit: based on the edge complexity and crack distribution, it prioritizes trimming of easy-to-process areas and performs protective avoidance on crack areas;

[0096] Edge complexity recognition unit: used to evaluate the complexity of the edge of metal die-casting parts and adjust the path and working parameters of the trimming tool according to the complexity;

[0097] Mechanical trimming unit: Through the linkage of multi-degree-of-freedom robotic arm and adaptive edge detection module, precise trimming of complex edges can be achieved.

[0098] Among them, the automatic trimming module completes the intelligent and high-precision trimming of hardware die-castings through the organic combination of the path planning unit, the trimming area priority adjustment unit, the edge complexity recognition unit and the mechanical trimming unit. The path planning unit first dynamically generates the optimal trimming path based on the edge feature model and crack distribution information generated by the adaptive edge detection module to ensure that the trimming tool avoids the crack area and avoids secondary damage to the workpiece, while improving the safety and accuracy of trimming.

[0099] The trimming area priority adjustment unit prioritizes trimming of easily machined areas based on the complexity of the workpiece edge and the distribution of cracks. While ensuring machining efficiency, it also protects cracked areas, maximizing workpiece integrity. The edge complexity recognition unit further evaluates the workpiece's geometric characteristics. By analyzing the edge complexity, it dynamically adjusts the trimming tool path and operating parameters, such as trimming speed, cutting depth, or tool angle, to accommodate the machining requirements of different areas, ensuring smooth and consistent trimming of complex edges.

[0100] Finally, the mechanical trimming unit precisely performs trimming operations through the linkage of a multi-degree-of-freedom robotic arm with a path planning unit and a priority adjustment unit. The robotic arm can flexibly cope with complex workpiece shapes, and is particularly suitable for trimming curved surfaces, sharp corners or highly complex edges, ensuring the accuracy and consistency of trimming, thereby improving product quality. Through the collaborative work of the various units of the module, the automatic trimming module not only improves the trimming efficiency and reduces the scrap rate, but also significantly enhances the intelligence and adaptability of the system to meet diverse processing needs.

[0101] The system further comprises:

[0102] Real-time monitoring and feedback module: used to collect real-time data during the trimming process and dynamically adjust the trimming path to ensure the consistency of the trimming operation and edge detection results;

[0103] The data storage and learning module is used to store crack data, edge feature models and trimming paths, and optimize the edge detection and trimming paths of subsequent workpieces through adaptive algorithms.

[0104] The real-time monitoring and feedback module and the data storage and learning module further enhance the accuracy and efficiency of the trimming process through the introduction of intelligent functions. During the trimming process, the real-time monitoring and feedback module collects real-time workpiece data through sensors, including information such as edge status, tool position, and machining errors. It compares the edge feature model and crack distribution data provided by the edge detection module and dynamically adjusts the trimming path to ensure that the trimming operation remains consistent with the detection results. This module responds to workpiece changes in real time during machining, effectively compensating for deviations caused by workpiece deformation, tool wear, or environmental influences, thereby ensuring trimming quality and consistency.

[0105] The data storage and learning module is used to store the crack data, edge feature model, trimming path and other information generated by the crack detection module, and analyze and learn these data through adaptive algorithms to optimize the edge detection and trimming path planning of subsequent workpieces. Through the accumulation and processing of historical data, the system can continuously improve the algorithm parameters, improve the efficiency and accuracy of detection and trimming, and adapt to more diverse workpiece shapes and processing requirements. At the same time, the module can also achieve traceability of the production process and provide data support for process improvement and quality monitoring. The synergistic effect of the two enables the system to have a higher level of intelligence and adaptability, which helps to improve processing efficiency, reduce scrap rate, and meet the industrial needs of high-precision processing.

[0106] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

[0107] In addition, it should be understood that although this specification is described according to embodiments, not every embodiment contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

Claims

1. Adaptive edge detection and automatic trimming system for metal die casting trimming, characterized by: include: Crack detection module: used to place the metal die-casting in a closed environment with heating liquid and heat-absorbing particles and pressurize it, then remove the excess heating liquid and heat-absorbing particles from the surface of the metal die-casting, and finally use the temperature imager to detect the crack position; Adaptive edge detection module: includes visual sensors and adaptive algorithm units, which are used to dynamically adjust detection parameters and generate edge feature models and trimming paths according to the geometric characteristics, edge complexity and crack distribution information of metal die-castings; Particle recovery module: used to recover heat-absorbing particles after the test is completed, including liquid filtering device, centrifugal separation device and cleaning equipment; Automatic trimming module: includes a path planning unit and a mechanical trimming unit, which is used to perform trimming operations avoiding crack areas based on edge data generated by the crack detection module and the adaptive edge detection module.

2. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The adaptive edge detection module comprises: Vision sensors are used to capture edge images of metal die-castings; Adaptive algorithm unit, including: Edge detection algorithm, used to dynamically adjust detection threshold, resolution and feature extraction parameters to adapt to metal die-casting parts of different shapes and materials; The crack correction algorithm corrects the edge detection results according to the crack position data provided by the crack detection module and generates an optimized trimming path.

3. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The adaptive edge detection module further comprises: The real-time feedback unit is used to collect edge change information of the workpiece through sensors during the trimming process, and dynamically optimize the detection results and trimming path.

4. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The temperature imaging unit of the crack detection module is linked with the adaptive edge detection module to dynamically adjust the edge detection threshold based on the thermal imaging data to improve the resolution of edges and cracks.

5. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The crack detection module includes a heating liquid supply device, a heat absorbing particle injection device and a surface cleaning device, and the heating liquid supply device includes: a liquid storage unit for storing heated liquid; A heating unit is used to heat the liquid at a constant temperature to ensure that the temperature of the injected liquid is stable; A flow control unit, including a piping system and an adjustable valve, for regulating the flow rate and injection pressure of the heated liquid; High-pressure control unit: Through the high-pressure pump and pressure regulator, a uniform high-pressure environment is applied to the surface of the metal die-casting to ensure that the liquid and heat-absorbing particles can fully penetrate into the crack area; The heat absorbing particle injection device comprises: a particle storage container for storing heat absorbing particles; A particle mixing unit, used for uniformly mixing the heat absorbing particles into the heating liquid to form a heating liquid containing particles; A particle concentration control unit, used to adjust the concentration of heat-absorbing particles in the liquid to adapt to different crack detection requirements; The surface cleaning device comprises: Liquid Recovery Unit: Removes excess heated liquid and heat absorbing particles from the surface of metal die castings through a scraper.

6. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The crack detection module uses a temperature imager to capture the temperature difference of the crack area in real time, and combines the image processing algorithm to generate an accurate position map of the crack distribution.

7. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The particle recovery module removes impurities through a liquid filtering device, and utilizes a centrifugal separation device and a cleaning device to achieve efficient recovery and recycling of heat-absorbing particles.

8. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The particle recovery module includes an automatic monitoring device for real-time detection of the recovery efficiency of the heat-absorbing particles and the reusability of the particles.

9. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The automatic trimming module comprises: Path planning unit: used to dynamically adjust the trimming path based on the edge feature model and crack distribution information generated by the adaptive edge detection module; Trimming area priority adjustment unit: according to the edge complexity and crack distribution, the easy-to-process area is trimmed first, and the crack area is protected and avoided; Edge complexity recognition unit: used to evaluate the complexity of the edge of metal die castings and adjust the path and working parameters of the trimming tool according to the complexity; Mechanical trimming unit: Through the linkage of multi-degree-of-freedom robotic arm and adaptive edge detection module, precise trimming of complex edges can be achieved.

10. The adaptive edge detection and automatic trimming system for metal die casting trimming according to claim 1, characterized in that: The system further comprises: Real-time monitoring and feedback module: used to collect real-time data during the trimming process and dynamically adjust the trimming path to ensure the consistency of the trimming operation and edge detection results; The data storage and learning module is used to store crack data, edge feature models and trimming paths, and optimize the edge detection and trimming paths of subsequent workpieces through adaptive algorithms.

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