An impact-resistant tool punch burr online detection and laser trimming system

Abstract

This invention discloses an online detection and laser trimming system for impact-resistant stamping tools, belonging to the field of metal stamping tool detection and trimming technology. It addresses the problems of low efficiency in offline burr detection, poor anti-interference capability in online detection, easy tool damage during traditional trimming, and lack of closed-loop quality control in stamping tools. The system includes a stamping equipment linkage synchronization unit, a multi-source vision online detection unit, a burr intelligent identification and quantification unit, a laser adaptive trimming unit, and a closed-loop feedback verification unit. This invention can synchronize with the stamping production line cycle, completing online detection and trimming in the vibration-free return stroke without stopping the machine for tool removal. Through multi-source vision fusion, it achieves accurate burr identification and quantification under strong interference environments; adaptive laser performs directional, non-destructive burr trimming; and full closed-loop control ensures trimming quality, significantly improving stamping production efficiency and tool lifespan.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of metal stamping tool detection and finishing, and particularly relates to an anti-impact tool stamping burr on-line detection and laser finishing system. BACKGROUND

[0002] Hardware tools (such as precision hardware punches, hardware cutting knives, and small stamping die knives) are core consumables for hardware processing, and have the characteristics of small size, high precision, and batch production. Anti-impact stamping tools (such as thick plate blanking knives, high-strength steel plate stamping punch / die, and continuous die punch) are core processing components, and the edge state directly determines the processing precision and surface quality of hardware tool finished products and stamping parts. The edge of the hardware tool is thinner, the production rhythm is faster, and the burr generation rate caused by blanking friction is higher. Small burrs will cause the cutting performance of the hardware tool to decrease, the workpiece to be scratched, and the assembly to be stuck. In conventional stamping processing, high-speed blanking friction between the tool edge and the plate will also cause edge wear and edge collapse, and form stamping burrs on the blanking section. When the height of the burr exceeds the process threshold, it will cause batch rejection of the hardware tool, size out-of-tolerance of the stamping part, flash, and even mold cracking, which may cause safety accidents.

[0003] At present, the detection and finishing of stamping tool burrs mainly have the following technical defects:

[0004] 1. Detection mode mainly offline detection: the existing technology adopts the method of disassembling the tool after stopping, and detects offline through a tool microscope and a three-coordinate measuring instrument. The detection cycle is long, the efficiency is low, the burr state of the tool edge cannot be fed back in real time, batch stamping parts are prone to be defective, and it cannot adapt to the rhythm requirements of the high-speed continuous stamping production line.

[0005] 2. Poor anti-interference ability and insufficient precision in on-line detection: a few on-line detection schemes use single visual imaging technology. However, there are strong interference factors such as strong mechanical vibration, stamping oil mist, and metal debris in the stamping site. Single vision cannot effectively distinguish the edge negative chamfer, normal wear, and burr area of the anti-impact tool, and has high false detection rate and missed detection rate, which cannot realize accurate quantification of the burr.

[0006] 3. Finishing process easily damages the tool base: the existing tool finishing mostly adopts a grinding wheel grinding process. Grinding stress and blade heat treatment layer are easily generated in the grinding process, which destroys the metallographic structure and coating structure of the anti-impact tool edge, greatly reduces the anti-impact performance and service life of the tool; at the same time, the grinding finishing cannot realize directional and accurate removal of the burr, which easily changes the designed geometric parameters of the edge and affects the blanking precision.

[0007] 4. Disconnection between inspection and finishing, lack of closed-loop control: In the existing technology, the inspection and finishing processes are independent of each other. It is impossible to adaptively adjust the finishing process according to the real-time quantitative parameters of the burrs. There is no online verification step after finishing, the finishing accuracy cannot be guaranteed, and it is difficult to achieve full-process automated closed-loop control.

[0008] Therefore, an online detection and laser trimming system for impact-resistant stamping tool burrs is needed to solve the problems of low efficiency in offline burr detection, poor anti-interference ability in online detection, easy damage to tools by traditional trimming, and lack of closed-loop quality control in the existing technology. Summary of the Invention

[0009] The purpose of this invention is to provide an online detection and laser trimming system for impact-resistant cutting tool stamping burrs, so as to solve the problems mentioned in the background art.

[0010] To achieve the above objectives, the present invention provides the following technical solution: an online detection and laser trimming system for impact-resistant tool stamping burrs, comprising:

[0011] The stamping equipment linkage synchronization unit is used to communicate with the main shaft encoder and limit switch of the stamping machine to obtain the real-time stroke phase signal of the stamping machine, divide the stamping working area and the non-working detection and adjustment area, and output the detection trigger signal and the adjustment trigger signal.

[0012] The multi-source vision online inspection unit is electrically connected to the stamping equipment linkage and synchronization unit. It starts after receiving the detection trigger signal and is used to collect multi-angle image data of the cutting edge of the impact-resistant tool, including the coaxial light microscopic imaging component, the side light dark field imaging component, and the three-dimensional line laser contour scanning component, which respectively acquire the bright field detail image, dark field burr contour image, and three-dimensional point cloud data of the cutting edge.

[0013] The burr intelligent recognition and quantization unit communicates with the multi-source vision online detection unit and is used to preprocess and extract features from the received image data and point cloud data, identify burr regions and quantify the key feature parameters of burrs.

[0014] The tool positioning and attitude adjustment unit is used to clamp and adjust the spatial attitude of the impact-resistant tool so that the area to be trimmed on the tool's cutting edge coincides with the focal point of the laser trimming.

[0015] The laser adaptive trimming unit is electrically connected to the stamping equipment linkage synchronization unit and the burr intelligent recognition and quantization unit. It receives trimming trigger signals and burr quantization parameters, and outputs matching laser trimming process parameters to perform directional laser ablation trimming on the burr area.

[0016] The closed-loop feedback verification unit is connected to the multi-source vision online detection unit and the laser adaptive trimming unit respectively. It is used to trigger a secondary detection after the laser trimming is completed to verify the trimming effect. If the trimming is not qualified, a secondary trimming signal is output until the trimming is qualified or a shutdown warning is triggered.

[0017] It should be noted in the solution that the burr intelligent recognition and quantization unit identifies and quantifies burrs through a multi-source data fusion burr feature extraction algorithm, specifically including:

[0018] First, the bright field detail image and dark field contour image are denoised, enhanced, and registered to obtain a two-dimensional fused image of the cutting edge; the three-dimensional point cloud data is denoised, registered, and coordinate system unified to obtain a three-dimensional contour point cloud of the cutting edge; then, the theoretical baseline of the cutting edge is extracted by the preset cutting edge baseline contour fitting algorithm, the deviation between the actual contour and the theoretical baseline is calculated, and the burr area is identified.

[0019] The cutting edge reference profile fitting adopts a weighted least squares fitting algorithm based on the cutting edge design parameters of impact-resistant tools. The fitting objective function formula is:

[0020]

[0021] In the formula, This represents the total number of discrete points on the cutting edge profile. For the first The coordinates of a discrete point The slope of the fitted baseline line, The intercept of the fitted baseline line, For the first Weighting coefficients for each discrete point;

[0022] The formula for calculating the weighting coefficient is as follows:

[0023]

[0024] In the formula, For the first The perpendicular distance from each discrete point to the initial fitted line. This represents the maximum perpendicular distance from all discrete points to the initial fitted line. The robustness coefficient, with a value ranging from 2 to 5, is used to suppress the interference of discrete burr points on the fitting of the reference profile.

[0025] The core quantification parameter for burrs includes the burr height h, which is calculated using the following formula:

[0026]

[0027] In the formula, This represents the vertical distance from each discrete point within the burr region to the fitted reference profile.

[0028] It is further worth noting that the coaxial light microscopy imaging component, the side-lit dark-field imaging component, and the three-dimensional line laser contour scanning component of the multi-source vision online detection unit are all mounted on a movable precision slide, and the travel of the slide is matched with the cutting edge length of the impact-resistant tool; the magnification of the coaxial light microscopy imaging component is 50~200 times, and the imaging resolution is ≤1μm; the side-lit dark-field imaging component uses three sets of ring-distributed obliquely incident parallel light sources, and the angle between the incident angle and the cutting edge plane of the tool is 15°~30°; the longitudinal resolution of the three-dimensional line laser contour scanning component is ≤0.5μm, and the sampling frequency is ≥10kHz.

[0029] Furthermore, it should be noted that the linkage synchronization unit of the stamping equipment divides the 360° stroke phase of the stamping machine spindle into: 0°~180° as the stamping working range, and 180°~360° as the return stroke detection and adjustment range; wherein, the trigger phase of the detection trigger signal is 210°~270°, and the trigger phase of the adjustment trigger signal is 270°~330°, ensuring that the detection and adjustment processes are completed in the return stroke range of the stamping machine when there is no load and no strong vibration.

[0030] In a preferred embodiment, the laser adaptive trimming unit outputs suitable laser trimming process parameters through a burr feature-laser process parameter matching model, specifically including:

[0031] Using the burr height h, burr width w, and burr volume V output by the burr intelligent recognition and quantization unit as input variables, and the hardness H of the matrix material of the impact-resistant tool, the coating thickness T, and the chamfering parameters of the cutting edge design as constraints, an adaptive calculation model for laser process parameters is constructed.

[0032] The formula for calculating the laser single-pulse energy E is as follows:

[0033]

[0034] In the formula, The density of the burr material, The specific heat capacity of the burr material, This is the difference between the material's melting point and the ambient temperature. The latent heat of fusion of the material, The effective ablation volume of a single-pulse laser. Laser energy absorption efficiency;

[0035] Effective ablation volume per pulse The constraint formula is:

[0036]

[0037] In the formula, The diameter of the laser spot at the laser focus. To ensure the burr height is within acceptable limits, the ablation depth of the single-pulse laser should not exceed the burr height to avoid damaging the tool cutting edge substrate.

[0038] The formula for calculating the line spacing s of the laser scanning path is:

[0039]

[0040] In the formula, The overlap rate of the laser spot, ranging from 30% to 50%, is determined based on the burr width. Adaptive adjustment.

[0041] In a preferred embodiment, the tool positioning and attitude adjustment unit includes a precision six-axis displacement stage, a cutting edge clamping fixture, and a vacuum adsorption assembly; the positioning accuracy of the precision six-axis displacement stage is ≤0.001mm, and the angle adjustment accuracy is ≤0.005°; the cutting edge clamping fixture matches the mounting shank of the impact-resistant tool, and the vacuum adsorption assembly is used to adsorb and fix the non-cutting edge surface of the tool to suppress minor vibrations during the dressing process.

[0042] In a preferred embodiment, the closed-loop feedback verification unit presets the burr qualification threshold for the impact-resistant tool to be ≤5μm burr height. When the burr height detected in the second test exceeds the qualification threshold, a second trimming signal is output, and the laser process parameters are adjusted for a second trimming. If the tool is still not qualified after three consecutive trimmings, a shutdown warning signal is output, and the unqualified data is uploaded to the equipment management system.

[0043] As a preferred embodiment, it also includes an online protection unit, which includes a dustproof and oil mist-proof component, a laser safety protection component, and a debris collection component;

[0044] The dustproof and oil mist-proof component is a transparent protective cover with positive pressure clean air blowing, which encloses the optical lenses of the multi-source vision online detection unit and the laser adaptive trimming unit; the laser safety protection component includes a laser safety interlock, an emergency stop button, and a laser absorption baffle; the debris collection component is a negative pressure dust suction port, located below the tool edge trimming area, used to collect metal debris and fumes generated by laser ablation.

[0045] Compared with the prior art, the online detection and laser trimming system for impact-resistant tool stamping burrs provided by the present invention has at least the following beneficial effects:

[0046] (1) This invention uses a stamping equipment linkage synchronization unit to precisely synchronize with the stamping machine's stroke phase, completing the detection and repair in the vibration-free and load-free range of the stamping return stroke. It does not require disassembling the tool or interrupting the stamping production, greatly improving the efficiency of detection and repair, and adapting to the production cycle of high-speed continuous stamping production lines. Furthermore, it adopts a multi-source vision fusion scheme of coaxial light microscopy imaging, side-light dark field imaging, and three-dimensional line laser contour scanning, which effectively overcomes the interference of oil mist, vibration, and debris at the stamping site. It can accurately distinguish the negative chamfer structure, normal wear, and burr area of ​​the impact-resistant tool edge. Combined with the differential weighted fitting algorithm, it can achieve accurate identification and quantification of burrs, with a detection resolution of up to the micrometer level, greatly reducing the false detection rate and the missed detection rate.

[0047] (2) The present invention adopts a directional laser ablation repair process. Based on the real-time quantitative parameters of the burrs, the laser process parameters are adaptively adjusted through the parameter matching model. Only the burr area is directionally ablated and removed. The single-pulse ablation depth is strictly constrained within the burr height range to avoid damage to the tool cutting edge substrate, heat treatment layer and coating structure, and to ensure the impact resistance and service life of the impact-resistant tool. At the same time, the design geometric parameters of the cutting edge are accurately preserved.

[0048] (3) The present invention sets up a closed-loop feedback verification unit. After the trimming is completed, a secondary test is automatically triggered to verify the trimming effect. If it is unqualified, the parameters are automatically adjusted for a secondary trimming. If it is unqualified continuously, a shutdown warning is triggered to realize the full-process automated closed-loop control, ensure the consistency and stability of the trimming quality, and avoid the generation of batch defective products. Attached Figure Description

[0049] Figure 1 This is a structural framework diagram of an online detection and laser trimming system for impact-resistant cutting tools. Detailed Implementation

[0050] The present invention will be further described below with reference to embodiments.

[0051] Please see Figure 1 This invention provides an online detection and laser trimming system for impact-resistant tool stamping burrs, comprising:

[0052] The stamping equipment linkage synchronization unit is used to communicate with the main shaft encoder and limit switch of the stamping machine to obtain the real-time stroke phase signal of the stamping machine, divide the stamping working area and the non-working detection and adjustment area, and output detection trigger signal and adjustment trigger signal.

[0053] Furthermore, the linkage and synchronization unit of the stamping equipment divides the 360° stroke phase of the stamping machine spindle into: 0°~180° as the stamping working range, and 180°~360° as the return detection and adjustment range; wherein, the trigger phase of the detection trigger signal is 210°~270°, and the trigger phase of the adjustment trigger signal is 270°~330°, ensuring that the detection and adjustment processes are completed in the return range of the stamping machine when there is no load and no strong vibration.

[0054] The multi-source vision online inspection unit is electrically connected to the stamping equipment linkage and synchronization unit. It starts after receiving the detection trigger signal and is used to collect multi-angle image data of the cutting edge of the impact-resistant tool, including the coaxial light microscopic imaging component, the side light dark field imaging component, and the three-dimensional line laser contour scanning component, which respectively acquire the bright field detail image, dark field burr contour image, and three-dimensional point cloud data of the cutting edge.

[0055] Furthermore, the coaxial light microscopy imaging component, the side-lit dark-field imaging component, and the three-dimensional line laser contour scanning component of the multi-source vision online detection unit are all mounted on a movable precision slide, and the travel of the slide is matched with the cutting edge length of the impact-resistant tool; the magnification of the coaxial light microscopy imaging component is 50~200 times, and the imaging resolution is ≤1μm; the side-lit dark-field imaging component uses three sets of ring-distributed obliquely incident parallel light sources, and the angle between the incident angle and the cutting edge plane of the tool is 15°~30°; the longitudinal resolution of the three-dimensional line laser contour scanning component is ≤0.5μm, and the sampling frequency is ≥10kHz.

[0056] The burr intelligent recognition and quantization unit communicates with the multi-source vision online detection unit and is used to preprocess and extract features from the received image data and point cloud data, identify burr regions, and quantify the key feature parameters of burrs.

[0057] Furthermore, the burr intelligent recognition and quantization unit identifies and quantifies burrs through a multi-source data fusion burr feature extraction algorithm, specifically including:

[0058] First, the bright field detail image and dark field contour image are denoised, enhanced, and registered to obtain a two-dimensional fused image of the cutting edge; the three-dimensional point cloud data is denoised, registered, and coordinate system unified to obtain a three-dimensional contour point cloud of the cutting edge; then, the theoretical baseline of the cutting edge is extracted by the preset cutting edge baseline contour fitting algorithm, the deviation between the actual contour and the theoretical baseline is calculated, and the burr area is identified.

[0059] The cutting edge reference profile fitting adopts a weighted least squares fitting algorithm based on the cutting edge design parameters of impact-resistant tools. The fitting objective function formula is:

[0060]

[0061] In the formula, This represents the total number of discrete points on the cutting edge profile. For the first The coordinates of a discrete point The slope of the fitted baseline line, The intercept of the fitted baseline line, For the first Weighting coefficients for each discrete point;

[0062] The formula for calculating the weighting coefficient is as follows:

[0063]

[0064] In the formula, For the first The perpendicular distance from each discrete point to the initial fitted line. This represents the maximum perpendicular distance from all discrete points to the initial fitted line. The robustness coefficient, with a value ranging from 2 to 5, is used to suppress the interference of discrete burr points on the fitting of the reference profile.

[0065] The core quantification parameter for burrs includes the burr height h, which is calculated using the following formula:

[0066]

[0067] In the formula, This represents the vertical distance from each discrete point within the burr region to the fitted reference profile.

[0068] The tool positioning and attitude adjustment unit is used to clamp and adjust the spatial attitude of the impact-resistant tool so that the area to be trimmed on the tool's cutting edge coincides with the focal point of the laser trimming.

[0069] Furthermore, the tool positioning and attitude adjustment unit includes a precision six-axis displacement stage, a cutting edge clamping fixture, and a vacuum adsorption assembly; the positioning accuracy of the precision six-axis displacement stage is ≤0.001mm, and the angle adjustment accuracy is ≤0.005°; the cutting edge clamping fixture matches the mounting shank of the impact-resistant tool, and the vacuum adsorption assembly is used to adsorb and fix the non-cutting edge surface of the tool to suppress minor vibrations during the dressing process.

[0070] The laser adaptive trimming unit is electrically connected to the stamping equipment linkage synchronization unit and the burr intelligent recognition and quantization unit. It receives trimming trigger signals and burr quantization parameters, and outputs matching laser trimming process parameters to perform directional laser ablation trimming on the burr area.

[0071] Furthermore, the laser adaptive trimming unit outputs suitable laser trimming process parameters through a burr feature-laser process parameter matching model, specifically including:

[0072] Using the burr height h, burr width w, and burr volume V output by the burr intelligent recognition and quantization unit as input variables, and the hardness H of the matrix material of the impact-resistant tool, the coating thickness T, and the chamfering parameters of the cutting edge design as constraints, an adaptive calculation model for laser process parameters is constructed.

[0073] The formula for calculating the laser single-pulse energy E is as follows:

[0074]

[0075] In the formula, The density of the burr material, The specific heat capacity of the burr material, This is the difference between the material's melting point and the ambient temperature. The latent heat of fusion of the material, The effective ablation volume of a single-pulse laser. Laser energy absorption efficiency;

[0076] Effective ablation volume per pulse The constraint formula is:

[0077]

[0078] In the formula, The diameter of the laser spot at the laser focus. To ensure the burr height is within acceptable limits, the ablation depth of the single-pulse laser should not exceed the burr height to avoid damaging the tool cutting edge substrate.

[0079] The formula for calculating the line spacing s of the laser scanning path is:

[0080]

[0081] In the formula, The overlap rate of the laser spot, ranging from 30% to 50%, is determined based on the burr width. Adaptive adjustment.

[0082] The closed-loop feedback verification unit is connected to the multi-source vision online detection unit and the laser adaptive trimming unit respectively. It is used to trigger a secondary detection after the laser trimming is completed to verify the trimming effect. If the trimming is not qualified, a secondary trimming signal is output until the trimming is qualified or a shutdown warning is triggered.

[0083] Furthermore, the closed-loop feedback verification unit presets the burr qualification threshold for the impact-resistant tool to be ≤5μm in height. When the burr height detected in the second test exceeds the qualification threshold, a second trimming signal is output, and the laser process parameters are adjusted for a second trimming. If the tool is still not qualified after three consecutive trimmings, a shutdown warning signal is output, and the unqualified data is uploaded to the equipment management system.

[0084] The online protection unit includes a dustproof and oil mist-proof component, a laser safety protection component, and a debris collection component. The dustproof and oil mist-proof component is a transparent protective cover with positive pressure clean air blowing, which encloses the optical lenses of the multi-source vision online detection unit and the laser adaptive trimming unit. The laser safety protection component includes a laser safety interlock, an emergency stop button, and a laser absorption baffle. The debris collection component is a negative pressure dust suction port, located below the tool edge trimming area, used to collect metal debris and fumes generated by laser ablation.

[0085] This solution has the following working process: The main spindle of the stamping machine rotates, and the linkage synchronization unit of the stamping equipment collects the phase signal of the main spindle in real time. When the main spindle rotates to 180°, the punch completes the blanking and enters the return interval; when the main spindle rotates to 210°, the system outputs a detection trigger signal, the multi-source vision online detection unit starts, moves along the cutting edge length direction, and synchronously collects the bright field image, dark field image, and 3D point cloud data of the cutting edge; the burr intelligent recognition and quantization unit processes the collected data, fits the cutting edge reference contour, identifies the burr area, quantifies the key parameters of the burr, and determines whether it needs to be trimmed; if the burr height is ≤5μm, no trimming is required, and the system waits for the next cycle; if the burr height is >5μm, the burr parameters are transmitted to the laser adaptive... The system is designed to trim burrs. When the spindle rotates to 270°, the system outputs a trimming trigger signal. The tool positioning and attitude adjustment unit adjusts the tool attitude so that the area to be trimmed coincides with the laser focus. The laser adaptive trimming unit calculates the laser process parameters based on the burr parameters, plans the scanning path, and performs directional laser trimming on the burr area. After trimming, the closed-loop feedback verification unit triggers a secondary inspection to verify the trimming effect. If the trimming is qualified, the system waits for the next stamping cycle. If the trimming is unqualified, a second trimming is performed. If the trimming fails three times in a row, a stop warning is triggered. The entire inspection and trimming process is completed before the spindle rotates to 330°. When the spindle rotates to 360°, the system enters the next stamping cycle, achieving complete synchronization with stamping production.

[0086] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An online detection and laser trimming system for impact-resistant punching burrs, characterized in that: include: The stamping equipment linkage synchronization unit is used to communicate with the main shaft encoder and limit switch of the stamping machine to obtain the real-time stroke phase signal of the stamping machine, divide the stamping working area and the non-working detection and adjustment area, and output the detection trigger signal and the adjustment trigger signal. The multi-source vision online inspection unit is electrically connected to the stamping equipment linkage and synchronization unit. It starts after receiving the detection trigger signal and is used to collect multi-angle image data of the cutting edge of the impact-resistant tool, including the coaxial light microscopic imaging component, the side light dark field imaging component, and the three-dimensional line laser contour scanning component, which respectively acquire the bright field detail image, dark field burr contour image, and three-dimensional point cloud data of the cutting edge. The burr intelligent recognition and quantization unit communicates with the multi-source vision online detection unit and is used to preprocess and extract features from the received image data and point cloud data, identify burr regions and quantify the key feature parameters of burrs. The tool positioning and attitude adjustment unit is used to clamp and adjust the spatial attitude of the impact-resistant tool so that the area to be trimmed on the tool edge coincides with the focal point of the laser trimming. The laser adaptive trimming unit is electrically connected to the stamping equipment linkage synchronization unit and the burr intelligent recognition and quantization unit. It receives trimming trigger signals and burr quantization parameters, and outputs matching laser trimming process parameters to perform directional laser ablation trimming on the burr area. The closed-loop feedback verification unit is connected to the multi-source vision online detection unit and the laser adaptive trimming unit respectively. It is used to trigger a secondary detection after the laser trimming is completed to verify the trimming effect. If the trimming is not qualified, a secondary trimming signal is output until the trimming is qualified or a shutdown warning is triggered.

2. The online detection and laser trimming system for impact-resistant punching burrs according to claim 1, characterized in that: The burr intelligent recognition and quantization unit identifies and quantifies burrs through a multi-source data fusion burr feature extraction algorithm, specifically including: First, the bright field detail image and dark field contour image are denoised, enhanced, and registered to obtain a two-dimensional fused image of the cutting edge; the three-dimensional point cloud data is denoised, registered, and coordinate system unified to obtain a three-dimensional contour point cloud of the cutting edge; then, the theoretical baseline of the cutting edge is extracted by the preset cutting edge baseline contour fitting algorithm, the deviation between the actual contour and the theoretical baseline is calculated, and the burr area is identified. The cutting edge reference profile fitting adopts a weighted least squares fitting algorithm based on the cutting edge design parameters of impact-resistant tools. The fitting objective function formula is: In the formula, This represents the total number of discrete points on the cutting edge profile. For the first The coordinates of a discrete point The slope of the fitted baseline line, The intercept of the fitted baseline line, For the first Weighting coefficients for each discrete point; The formula for calculating the weighting coefficient is as follows: In the formula, For the first The perpendicular distance from each discrete point to the initial fitted line. This represents the maximum perpendicular distance from all discrete points to the initial fitted line. The robustness coefficient, with a value ranging from 2 to 5, is used to suppress the interference of discrete burr points on the fitting of the reference profile. The core quantification parameter for burrs includes the burr height h, which is calculated using the following formula: In the formula, This represents the vertical distance from each discrete point within the burr region to the fitted reference profile.

3. The online detection and laser trimming system for impact-resistant tool stamping burrs according to claim 1, characterized in that: The coaxial light microscopy imaging component, the side-lit dark-field imaging component, and the three-dimensional line laser contour scanning component of the multi-source vision online detection unit are all mounted on a movable precision slide, and the travel of the slide is matched with the cutting edge length of the impact-resistant tool. The magnification of the coaxial light microscopy imaging component is 50~200 times, and the imaging resolution is ≤1μm. The side-lit dark-field imaging component uses three sets of ring-distributed obliquely incident parallel light sources, and the angle between the incident angle and the cutting edge plane of the tool is 15°~30°. The longitudinal resolution of the three-dimensional line laser contour scanning component is ≤0.5μm, and the sampling frequency is ≥10kHz.

4. The online detection and laser trimming system for impact-resistant punching burrs according to claim 1, characterized in that: The linkage and synchronization unit of the stamping equipment divides the 360° stroke phase of the stamping machine spindle into: 0°~180° as the stamping working range, and 180°~360° as the return stroke detection and adjustment range; wherein, the trigger phase of the detection trigger signal is 210°~270°, and the trigger phase of the adjustment trigger signal is 270°~330°, ensuring that the detection and adjustment processes are completed in the return stroke range of the stamping machine when there is no load and no strong vibration.

5. The online detection and laser trimming system for impact-resistant punching burrs according to claim 1, characterized in that: The laser adaptive trimming unit outputs suitable laser trimming process parameters through a burr feature-laser process parameter matching model, specifically including: Using the burr height h, burr width w, and burr volume V output by the burr intelligent recognition and quantization unit as input variables, and the hardness H of the matrix material of the impact-resistant tool, the coating thickness T, and the chamfering parameters of the cutting edge design as constraints, an adaptive calculation model for laser process parameters is constructed. The formula for calculating the laser single-pulse energy E is as follows: In the formula, The density of the burr material, The specific heat capacity of the burr material, This is the difference between the material's melting point and the ambient temperature. The latent heat of fusion of the material, The effective ablation volume of a single-pulse laser. Laser energy absorption efficiency; Effective ablation volume per pulse The constraint formula is: In the formula, The diameter of the laser spot at the laser focus. To ensure the burr height is within acceptable limits, the ablation depth of the single-pulse laser should not exceed the burr height to avoid damaging the tool cutting edge substrate. The formula for calculating the line spacing s of the laser scanning path is: In the formula, The overlap rate of the laser spot, ranging from 30% to 50%, is determined based on the burr width. Adaptive adjustment.

6. The online detection and laser trimming system for impact-resistant punching burrs according to claim 1, characterized in that: The tool positioning and attitude adjustment unit includes a precision six-axis displacement stage, a cutting edge clamping fixture, and a vacuum adsorption assembly; the positioning accuracy of the precision six-axis displacement stage is ≤0.001mm, and the angle adjustment accuracy is ≤0.005°; the cutting edge clamping fixture matches the mounting shank of the impact-resistant tool, and the vacuum adsorption assembly is used to adsorb and fix the non-cutting edge surface of the tool to suppress minor vibrations during the dressing process.

7. The online detection and laser trimming system for impact-resistant punching burrs according to claim 1, characterized in that: The closed-loop feedback verification unit presets the burr qualification threshold for the impact-resistant tool as burr height ≤ 5μm. When the burr height detected in the second test exceeds the qualification threshold, it outputs a second trimming signal, adjusts the laser process parameters, and performs a second trimming. If the tool still fails to meet the qualification after three consecutive trimmings, it outputs a shutdown warning signal and uploads the non-qualified data to the equipment management system.

8. The online detection and laser trimming system for impact-resistant punching burrs according to claim 1, characterized in that: It also includes an online protection unit, which includes a dustproof and oil mist-proof component, a laser safety protection component, and a debris collection component; The dustproof and oil mist-proof component is a transparent protective cover with positive pressure clean air blowing, which encloses the optical lenses of the multi-source vision online detection unit and the laser adaptive trimming unit; the laser safety protection component includes a laser safety interlock, an emergency stop button, and a laser absorption baffle; the debris collection component is a negative pressure dust suction port, located below the tool edge trimming area, used to collect metal debris and fumes generated by laser ablation.

Images