Adaptive edge detection and automatic trimming system for trimming of metal die castings

Abstract

This invention discloses an adaptive edge detection and automated trimming system for die-cast hardware parts. By combining a crack detection module with temperature imaging technology, this invention achieves accurate detection and visual positioning of cracks in die-cast hardware parts. A constant-temperature heating liquid and heat-absorbing particles are injected into the crack under high pressure. Due to their significant temperature difference, the heat-absorbing particles penetrating the cracks appear as high-temperature signals in the temperature imager, thus generating a precise location map of the crack distribution. This effectively solves the problem of poor adaptability to complex geometries in traditional detection methods and avoids subsequent trimming damage caused by missed crack detection. Furthermore, a surface cleaning device ensures the cleanliness of the liquid and particles during the detection process. 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.

Description

Technical Field

[0001] This invention relates to the field of trimming system technology, and more specifically, to an adaptive edge detection and automated trimming system for trimming die-cast parts. Background Technology

[0002] During the production of die-cast hardware parts, the complexity of the casting process and the internal stress generated by the shrinkage of the metal material after cooling at high temperatures often lead to weak areas at the edges of the parts, making them prone to small cracks or gaps. These edge cracks may be difficult to detect with the naked eye in the early stages, but during subsequent processing, especially during trimming operations, stress concentration or processing vibrations can cause the cracks to expand further, even leading to breakage of the part's edge, seriously affecting the product's quality stability and service life.

[0003] Existing edge detection methods typically rely on penetrant testing, ultrasonic testing, or optical testing techniques. However, these methods have certain limitations in terms of precise crack location, visualization, and adaptability to complex geometries. For example, penetrant testing requires a long operation time and poses a risk of contamination, ultrasonic testing has low accuracy for complex-shaped parts, and optical testing is prone to missed or false detections when cracks are small or when there is interference on the surface. These technologies cannot meet the requirements for crack detection before high-precision trimming, resulting in cracks not being detected and affecting the quality of subsequent processing.

[0004] Therefore, in order to address the above-mentioned technical problems, it is necessary to provide an adaptive edge detection and automated trimming system for metal die-casting parts. Summary of the Invention

[0005] The purpose of this invention is to provide an adaptive edge detection and automated trimming system for die-cast metal parts, in order to solve the above-mentioned problems.

[0006] To achieve the above objectives, an embodiment of the present invention provides the following technical solution:

[0007] An adaptive edge detection and automated trimming system for die-cast hardware parts includes:

[0008] Crack detection module: It is used to place the die-cast hardware parts in a closed environment containing heating liquid and heat-absorbing particles and pressurize it, then remove the excess heating liquid and heat-absorbing particles from the surface of the die-cast hardware parts, and finally use a temperature imager to detect the location of cracks.

[0009] Adaptive edge detection module: including a vision sensor and an adaptive algorithm unit, used to dynamically adjust detection parameters and generate edge feature models and trimming paths based on the geometric characteristics, edge complexity and crack distribution information of the die-cast hardware parts;

[0010] Particle recovery module: Used to recover endothermic particles after detection, including liquid filtration device, centrifugal separation device and cleaning equipment;

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

[0012] The adaptive edge detection module includes:

[0013] A vision sensor is used to capture images of the edges of die-cast metal parts.

[0014] The adaptive algorithm unit includes:

[0015] Edge detection algorithms are used to dynamically adjust detection thresholds, resolutions, and feature extraction parameters to adapt to die-cast hardware parts of different shapes and materials;

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

[0017] The adaptive edge detection module further includes:

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

[0019] The temperature imaging unit of the crack detection module works in conjunction with the adaptive edge detection module to dynamically adjust the edge detection threshold based on thermal imaging data, thereby improving the resolution between edges and cracks.

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

[0021] Liquid storage unit for storing heated liquid;

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

[0023] A flow control unit, including a piping system and adjustable valves, is used to regulate the flow rate and injection pressure of the heated liquid;

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

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

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

[0027] The particle mixing unit is used to uniformly mix heat-absorbing particles into the heating liquid to form a heated liquid containing particles;

[0028] The particle concentration control unit is used to adjust the concentration of endothermic particles in the liquid to adapt to different crack detection requirements.

[0029] The surface cleaning device includes:

[0030] Liquid recovery unit: Removes excess heating liquid and heat-absorbing particles from the surface of the die-cast hardware parts using a scraper.

[0031] The crack detection module uses a temperature imager to capture the temperature difference in the crack area in real time, and combines it with image processing algorithms to generate a precise location 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 real-time detection of the recovery efficiency of the heat-absorbing particles and the reusability of the particles.

[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 complexity of the edge and the distribution of cracks, prioritize the trimming of easily processed areas and provide protective avoidance for cracked areas;

[0037] Edge complexity recognition unit: used to assess the complexity of the edges of die-cast hardware parts and adjust the path and working parameters of the trimming tool according to the complexity;

[0038] Mechanical trimming unit: Through the linkage of a multi-degree-of-freedom robotic arm and an adaptive edge detection module, it achieves precise trimming of complex edges.

[0039] The system further includes:

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

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

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

[0043] This solution combines a crack detection module with temperature imaging technology to achieve precise detection and visual location of cracks in die-cast hardware parts. A constant-temperature heated liquid and heat-absorbing particles are injected into the crack under high pressure. Due to their significant temperature difference, the heat-absorbing particles seeping into the crack appear as high-temperature signals in the temperature imager, generating a precise location map of the crack distribution. This effectively solves the problem of poor adaptability to complex geometries in traditional detection methods, while also avoiding subsequent edge trimming damage caused by missed crack detection. Furthermore, a surface cleaning device ensures the cleanliness of the liquid and particles during the detection process, and a particle recycling module enables 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 precise edge trimming. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of the adaptive edge detection and automated 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 This is a schematic diagram of the gap detection for the metal castings of the present invention;

[0047] Figure 4 This is a schematic diagram of the internal inspection gap of the metal casting of the present invention. Detailed Implementation

[0048] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0049] Example:

[0050] Please see Figure 1-4 An adaptive edge detection and automated trimming system for die-cast hardware parts includes:

[0051] Crack detection module: It is used to place the die-cast hardware parts in a closed environment containing heating liquid and heat-absorbing particles and pressurize it, then remove the excess heating liquid and heat-absorbing particles from the surface of the die-cast hardware parts, and finally use a temperature imager to detect the location of cracks.

[0052] Adaptive edge detection module: including a vision sensor and an adaptive algorithm unit, used to dynamically adjust detection parameters and generate edge feature models and trimming paths based on the geometric characteristics, edge complexity and crack distribution information of the die-cast hardware parts;

[0053] Particle recovery module: Used to recover endothermic particles after detection, including liquid filtration device, centrifugal separation device and cleaning equipment;

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

[0055] The system utilizes a crack detection module combined with temperature imaging technology to achieve precise detection and visual positioning of cracks in die-cast hardware parts. A constant-temperature heated liquid and heat-absorbing particles are injected into the crack under high pressure. Due to their significant temperature difference, the heat-absorbing particles seeping into the cracks appear as high-temperature signals in the temperature imager, generating a precise location map of the crack distribution. This effectively solves the problem of poor adaptability to complex geometries in traditional detection methods and avoids subsequent edge-trimming damage caused by missed crack detection. Furthermore, a surface cleaning device ensures the cleanliness of the liquid and particles during the detection process, and a particle recycling module enables the recycling of detection materials, further reducing costs and improving environmental performance. Through the linkage between 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 precise edge-trimming processing.

[0056] The adaptive edge detection module includes:

[0057] A vision sensor is used to capture images of the edges of die-cast metal parts.

[0058] The adaptive algorithm unit includes:

[0059] Edge detection algorithms are used to dynamically adjust detection thresholds, resolutions, and feature extraction parameters to adapt to die-cast hardware parts of different shapes and materials;

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

[0061] The adaptive edge detection module captures edge images of die-cast hardware parts through a vision sensor and combines them with an adaptive algorithm unit to intelligently analyze and process edge features, thereby achieving high-precision edge detection and trimming path planning for complex workpieces.

[0062] After the vision sensor acquires high-definition images, the edge detection algorithm dynamically adjusts the detection parameters (such as detection threshold, resolution, and feature extraction accuracy) according to the workpiece's geometry and material to accurately extract edge features, adapting to hardware die-casting parts of different shapes and materials. At the same time, the crack correction algorithm uses the crack location data provided by the crack detection module to correct the detected edge features and remove the cracked area from the trimming path, thereby ensuring that the trimming tool will not cause secondary damage to the cracked area.

[0063] This module ultimately generates an optimized trimming path, which is then provided to the automatic trimming module for trimming operations. Through 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, achieves precise trimming of complex edges, enhances product quality and consistency, and simultaneously reduces scrap rates and production costs.

[0064] The adaptive edge detection module further includes:

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

[0066] The temperature imaging unit of the crack detection module works in conjunction with the adaptive edge detection module to dynamically adjust the edge detection threshold based on thermal imaging data, thereby improving the resolution between edges and cracks.

[0067] Among them, the adaptive edge detection module further integrates the linkage function 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 through high-precision sensors during the trimming process. It can sense the deviation caused by workpiece deformation, environmental factors or tool wear during the processing, and dynamically optimize the detection results and trimming path in a timely manner to ensure trimming accuracy and consistency.

[0068] Meanwhile, the temperature imaging unit of the crack detection module works in conjunction with 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 heated liquid supply device, a heat-absorbing particle spraying device, and a surface cleaning device. The heated liquid supply device includes:

[0070] Liquid storage unit for storing heated liquid;

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

[0072] A flow control unit, including a piping system and adjustable valves, is used to regulate the flow rate and injection pressure of the heated liquid;

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

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

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

[0076] The particle mixing unit is used to uniformly mix heat-absorbing particles into the heating liquid to form a heated liquid containing particles;

[0077] The particle concentration control unit is used to adjust the concentration of endothermic particles in the liquid to adapt to different crack detection requirements.

[0078] The surface cleaning device includes:

[0079] Liquid recovery unit: Removes excess heating liquid and heat-absorbing particles from the surface of the die-cast hardware parts using a scraper.

[0080] The crack detection module, through the coordinated action of a heated liquid supply device, a heat-absorbing particle injection device, and a surface cleaning device, enables accurate detection of cracks in die-cast hardware parts. Its design addresses crack problems that may arise from the casting process of die-cast hardware parts, avoiding the risk of damage to parts caused by crack expansion during direct trimming. The entire detection process is carried out in a closed environment. By injecting heated liquid and heat-absorbing particles under high pressure, combined with temperature imaging technology, the location and size of cracks are effectively identified, thus providing reliable data support for subsequent trimming.

[0081] First, the heating liquid supply device is responsible for providing a 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 regulates the flow rate 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 to the surface of the die-cast hardware through a high pressure pump and pressure regulator, so that the liquid and heat-absorbing particles can fully penetrate into any cracks, ensuring that the cracks are filled with the detection medium.

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

[0083] The heating fluid should meet the following characteristics: stable thermal conductivity, appropriate fluidity, high-temperature stability, and compatibility with the materials of the die-cast hardware parts. Specific materials to choose from include water-based heat transfer fluids or silicone oils.

[0084] The selection of heat-absorbing particles should have high heat capacity, excellent heat absorption performance, easy mixing with the heated liquid, ability to generate significant thermal contrast signals in temperature imaging, and recyclability. Specific materials that can be selected include alumina particles or silicon dioxide particles.

[0085] Subsequently, the surface cleaning device activates the liquid recovery unit, which efficiently removes excess heating liquid and heat-absorbing particles from the surface of the die-cast metal parts using a scraper or vacuum adsorption device, ensuring a clean surface and providing good imaging conditions for subsequent inspection.

[0086] Finally, a temperature imager is used to inspect the surface of the cleaned die-cast hardware. If cracks are present in the workpiece, the heat-absorbing particles that seep into the cracks under high pressure will exhibit high-temperature signals due to their heat absorption characteristics, appearing as obvious high-temperature spots in the temperature imager, thus accurately determining the size and distribution location 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 damaging the workpiece, and the detection results are intuitive and reliable, effectively avoiding the problem of parts being damaged during subsequent trimming due to undetected cracks.

[0087] After cracks are detected, non-destructive methods such as vacuum suction, ultrasonic cleaning, or high-pressure water jets can be used to thoroughly clean the heat-absorbing particles and heating liquid in the cracks. At the same time, directional airflow purging and hot air or infrared drying technology are used to treat the surface of the workpiece to ensure that there are no residues inside or 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, which significantly improves trimming accuracy and product quality. Meanwhile, 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 image processing algorithms to generate a precise location map of the crack distribution.

[0089] The particle recovery module removes impurities through a liquid filtration device and utilizes a centrifugal separation device and a 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 endothermic particles and the reusability of the particles.

[0091] The crack detection module uses a temperature imager to capture the temperature difference between the surface and internal crack areas of the die-cast hardware parts in real time. It then uses image processing algorithms to analyze the temperature imaging data and generate a precise location map of the crack distribution, providing a reliable basis for accurate crack location and subsequent processing.

[0092] The particle recovery module uses a liquid filtration device to perform primary and precision filtration on the mixed liquid, removing impurities and unused heat-absorbing particles. It also uses a centrifugal separator to efficiently separate the particles from the liquid. Simultaneously, a cleaning device cleans and dries the recovered heat-absorbing particles to ensure that their performance is not affected, thus achieving particle recycling. In addition, the particle recovery module includes an automatic monitoring device to monitor the recovery efficiency, integrity, and reusability of the heat-absorbing particles in real time. Data feedback is used to optimize the recovery process, further improving the system's economic and environmental performance.

[0093] The 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 complexity of the edge and the distribution of cracks, prioritize the trimming of easily processed areas and provide protective avoidance for cracked areas;

[0096] Edge complexity recognition unit: used to assess the complexity of the edges of die-cast hardware parts and adjust the path and working parameters of the trimming tool according to the complexity;

[0097] Mechanical trimming unit: Through the linkage of a multi-degree-of-freedom robotic arm and an adaptive edge detection module, it achieves precise trimming of complex edges.

[0098] The automatic trimming module, 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, completes the intelligent and high-precision trimming of hardware die-casting parts. 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, ensuring that the trimming tool avoids the crack area, avoids secondary damage to the workpiece, and improves the safety and accuracy of trimming.

[0099] The edge trimming priority adjustment unit prioritizes trimming easily machinable areas based on the complexity of the workpiece edges and the distribution of cracks. This ensures processing efficiency while protectively avoiding cracked areas, maximizing the integrity of the workpiece. The edge complexity recognition unit further evaluates the workpiece's geometric characteristics. By analyzing the edge complexity, it dynamically adjusts the path and working parameters of the trimming tool, such as trimming speed, cutting depth, or tool angle, to adapt to the processing needs of different parts, ensuring a smooth and consistent trimming effect on complex edges.

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

[0101] The system further includes:

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

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

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

[0105] The data storage and learning module stores crack data, edge feature models, and trimming paths generated by the crack detection module. It analyzes and learns from this data using an adaptive algorithm to optimize edge detection and trimming path planning for subsequent workpieces. By accumulating and processing historical data, the system can continuously improve algorithm parameters, enhance the efficiency and accuracy of detection and trimming, and adapt to more diverse workpiece shapes and processing requirements. At the same time, this module can also achieve traceability of the production process, providing data support for process improvement and quality monitoring. The synergy between the two modules gives the system a higher level of intelligence and adaptability, which helps to improve processing efficiency, reduce scrap rates, and meet the industrial requirements of high-precision machining.

[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 implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0107] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style of the specification is merely for clarity. Those skilled in the art should consider the specification as a whole, and 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. An adaptive edge detection and automated trimming system for die-cast hardware parts, characterized in that: include: Crack detection module: It is used to place the die-cast hardware parts in a closed environment containing heating liquid and heat-absorbing particles and pressurize it, then remove the excess heating liquid and heat-absorbing particles from the surface of the die-cast hardware parts, and finally use a temperature imager to detect the location of cracks. Adaptive edge detection module: including a vision sensor and an adaptive algorithm unit, used to dynamically adjust detection parameters and generate edge feature models and trimming paths based on the geometric characteristics, edge complexity and crack distribution information of the die-cast hardware parts; Particle recovery module: Used to recover endothermic particles after detection, including liquid filtration device, centrifugal separation device and cleaning equipment; Automatic edge trimming module: includes path planning unit and mechanical edge trimming unit, used to perform edge trimming operation to avoid crack areas based on edge data generated by crack detection module and adaptive edge detection module; The vision sensor is used to capture edge images of the die-cast metal parts; the adaptive algorithm unit includes: Edge detection algorithms are used to dynamically adjust detection parameters, including detection threshold, resolution, and feature extraction accuracy, based on the geometry and material of the workpiece, to accurately extract edge features and adapt to die-cast hardware parts of different shapes and materials. The crack correction algorithm is used to correct the detected edge features using the crack location data provided by the crack detection module, remove the crack area from the trimming path, and generate an optimized trimming path.

2. The adaptive edge detection and automated trimming system for die-cast hardware parts according to claim 1, characterized in that: The adaptive edge detection module further includes: The real-time feedback unit is used to collect edge change information of the workpiece through sensors during the trimming process, and to dynamically optimize the detection results and trimming path.

3. The adaptive edge detection and automated trimming system for die-cast hardware parts according to claim 1, characterized in that: The temperature imaging unit of the crack detection module works in conjunction with the adaptive edge detection module to dynamically adjust the edge detection threshold based on thermal imaging data, thereby improving the resolution between edges and cracks.

4. The adaptive edge detection and automated trimming system for die-cast hardware parts according to claim 1, characterized in that: The crack detection module includes a heated liquid supply device, a heat-absorbing particle spraying device, and a surface cleaning device. The heated liquid supply device includes: Liquid storage unit for storing heated liquid; The 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 adjustable valves, is used to regulate the flow rate and injection pressure of the heated liquid; High pressure control unit: By using a high pressure pump and pressure regulator, a uniform high pressure environment is applied to the surface of the die-cast hardware to ensure that liquid and heat-absorbing particles can fully penetrate into the crack area; The heat-absorbing particle injection device includes: Particle storage container for storing heat-absorbing particles; The particle mixing unit is used to uniformly mix heat-absorbing particles into the heating liquid to form a heated liquid containing particles; The particle concentration control unit is used to adjust the concentration of endothermic particles in the liquid to adapt to different crack detection requirements. The surface cleaning device includes: Liquid recovery unit: Removes excess heating liquid and heat-absorbing particles from the surface of the die-cast hardware parts using a scraper.

5. The adaptive edge detection and automated trimming system for die-cast hardware parts according to claim 1, characterized in that: The crack detection module uses a temperature imager to capture the temperature difference in the crack area in real time, and combines it with image processing algorithms to generate a precise location map of the crack distribution.

6. The adaptive edge detection and automated trimming system for die-cast hardware parts according to claim 1, characterized in that: 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.

7. The adaptive edge detection and automated trimming system for die-cast hardware parts 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.

8. The adaptive edge detection and automated trimming system for die-cast hardware parts according to claim 1, characterized in that: The automatic trimming module includes: 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: Based on the complexity of the edge and the distribution of cracks, prioritize the trimming of easily processed areas and provide protective avoidance for cracked areas; Edge complexity recognition unit: used to assess the complexity of the edges of die-cast hardware parts and adjust the path and working parameters of the trimming tool according to the complexity; Mechanical trimming unit: Through the linkage of a multi-degree-of-freedom robotic arm and an adaptive edge detection module, it achieves precise trimming of complex edges.

9. The adaptive edge detection and automated trimming system for die-cast hardware parts according to claim 1, characterized in that: The system further includes: Real-time monitoring and feedback module: used to collect real-time data and dynamically adjust the trimming path during the trimming process to ensure consistency between the trimming operation and the edge detection results; The data storage and learning module is used to store crack data, edge feature models, and trimming paths, and to optimize the edge detection and trimming paths of subsequent workpieces through an adaptive algorithm.

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