A metal foil part precision stamping device with surface treatment function

Abstract

The present application relates to the technical field of stamping and polishing treatment, and particularly relates to a metal foil part precision stamping device with surface treatment function, which comprises a data collector, a metal foil part precision stamping equipment with surface treatment function comprising a polishing device and a stamping device, a data processor and a rotating speed regulator; a target surface image is screened out, a region at the same position as the target region in the target surface image is screened out, and a connected domain of the part candidate region is extracted; a possible factor of the target connected domain is determined, and a target part region is screened out; an overall burr factor is determined, and edge detection is performed on the target part region; the burr severity is determined; and the polishing rotating speed at the time of adjustment is adjusted based on the burr severity and the target pressure. The present application realizes precision stamping treatment of the part, improves the accuracy of polishing rotating speed adjustment, and thus improves the effect of precision stamping treatment of the part.

Description

Technical Field

[0001] This invention relates to the field of stamping and grinding technology, and specifically to a precision stamping device for metal foil parts with surface treatment function. Background Technology

[0002] When performing precision stamping on parts, it is often necessary to perform part stamping and burr removal. Specifically, a stamping device can be used to obtain a shaped part, and the surface of the obtained part often has certain burrs. It is usually necessary to use a grinding device to remove the burrs from the surface of the shaped part in order to obtain a precision part. In the process of burr removal, the setting of the grinding speed is crucial.

[0003] Currently, when polishing rough areas such as burrs on the surface of parts, a fixed polishing speed is often set manually based on experience to achieve a smooth surface. However, the condition of the burrs on the part's surface varies at different times during the polishing process, and the required polishing speed also varies. Therefore, using a fixed polishing speed may result in difficulty in accurately polishing the part's surface, leading to poor results in precision stamping. Summary of the Invention

[0004] To address the technical problem of poor precision stamping results for parts, this invention proposes a precision stamping device for metal foil parts with surface treatment function.

[0005] This invention provides a precision stamping device for metal foil parts with surface treatment function, including a precision stamping equipment for metal foil parts with surface treatment function, which includes a grinding device and a stamping device. The precision stamping device for metal foil parts with surface treatment function also includes a data acquisition unit, a data processor and a speed regulator. The signal output terminal of the data acquisition unit is connected to the signal input terminal of the data processor. The data acquisition unit is used to acquire the image of the grinding template, the target pressure of the part to be ground at the time to be adjusted, and the initial surface image of the preset number of frames. The time to be adjusted is the time during the burr grinding stage after the part to be ground is stamped. The signal output terminal of the data processor is connected to the signal input terminal of the speed regulator. A data processor is used to perform the following steps: The target surface image is selected from the initial surface images of a preset number of frames. The region with the same position as the target region is selected from the target surface image as the part candidate region. The connected component is extracted from the part candidate region to obtain the target connected component. The target region is the region with non-zero gray value in the difference image between the target surface image and the polishing template image. Based on the perimeter and area of ​​the target connected region, and the grayscale values ​​of the regions at the same location as the target connected region in the difference images between all initial surface images and polishing template images, the possible factors of the part corresponding to the target connected region are determined, and the target part region is selected from all target connected regions based on the possible factors of the part. Based on the path fluctuation changes and goodness of fit corresponding to the boundary of the target part area, the overall burr factor is determined, and edge detection is performed on the target part area to obtain the target edge; The severity of burrs is determined based on the overall burr factor and the shortest distance between each target edge and the boundary of the target part area. The speed regulator is used to adjust the grinding speed at the time of adjustment based on the severity of burrs and the target pressure.

[0006] Optionally, determining the possible factors of the part corresponding to the target connected region based on the perimeter and area of ​​the target connected region, and the grayscale values ​​of the regions at the same location as the target connected region in the difference images between all initial surface images and polishing template images, includes: Based on the difference image between the initial surface image and the polishing template image of each frame, the difference gray level factor corresponding to each pixel in the initial surface image is determined, and the connected component is extracted from the region at the same position as the target region in the initial surface image of each frame to obtain the initial connected component. Any target connected component is defined as a labeled connected component, and any pixel within the labeled connected component is defined as a labeled pixel. Pixels with the same position as the marked pixel are selected from all initial surface images and used as reference pixels to obtain a set of reference pixels corresponding to the marked pixel. The differential gray factor of all pixels in the set of reference pixels corresponding to all pixels in the marked connected region represents the gray level in the region with the same position as the marked connected region in the difference image between all initial surface images and polishing template images. Based on the differential grayscale factor and the area of ​​the initial connected region of all pixels in the reference pixel set corresponding to the marked pixel, the initial possible factor corresponding to the marked pixel is determined, wherein the differential grayscale factor and the area of ​​the connected region are both positively correlated with the initial possible factor. Based on the perimeter and area of ​​the marked connected region, and the initial possible factors corresponding to all pixels within the marked connected region, the part possible factors corresponding to the marked connected region are determined.

[0007] Optionally, determining the difference grayscale factor corresponding to each pixel in the initial surface image based on the difference image between each frame of the initial surface image and the polishing template image includes: Any initial surface image is determined as a candidate surface image, and the difference image between the candidate surface image and the polishing template image is determined as a candidate difference image. Any pixel in the candidate surface image is selected as a candidate pixel. If the gray value of a pixel at the same position as the candidate pixel in the candidate difference image is zero, then the first preset value is determined as the difference gray factor corresponding to the candidate pixel. If the gray value of a pixel at the same position as the candidate pixel in the candidate difference image is not zero, then the second preset value is determined as the difference gray factor corresponding to the candidate pixel, wherein the second preset value is greater than the first preset value.

[0008] Optionally, determining the part possibility factor corresponding to the marked connected region based on the perimeter and area of ​​the marked connected region and the initial possibility factors corresponding to all pixels within the marked connected region includes: The ratio of the perimeter to the area of ​​the marked connected region is determined as the target shape feature corresponding to the marked connected region; Based on the initial possible factors corresponding to all pixels in the marked connected region and the target shape features corresponding to the marked connected region, the possible factors of the part corresponding to the marked connected region are determined, wherein the initial possible factors and the target shape features are both positively correlated with the possible factors of the part.

[0009] Optionally, the step of filtering the target part region from all target connected components based on the part's probability factor includes: If the component probability factor corresponding to the target connected component is greater than the preset component threshold, then the target connected component is determined as the target component region.

[0010] Optionally, determining the overall burr factor based on the path fluctuation changes and goodness of fit corresponding to the boundary of the target part area includes: Curve fitting is performed on the boundary of the target part region to obtain the target boundary curve, and the variance of the slope corresponding to all pixels on the target boundary curve is determined as the path fluctuation change factor corresponding to the target part region. The pixels on the boundary of the target part region are determined as reference boundary pixels, and the proportion of reference boundary pixels on the target boundary curve is determined as the target fit goodness corresponding to the target part region. The overall spurt factor is determined based on the path fluctuation change factor and the target goodness of fit, wherein the path fluctuation change factor is positively correlated with the overall spurt factor, and the target goodness of fit is negatively correlated with the overall spurt factor.

[0011] Optionally, determining the severity of burrs based on the overall burr factor and the shortest distance between each target edge and the boundary of the target part area includes: The shortest distance between each target edge and the boundary of the target part area is determined as the target distance corresponding to each target edge. The severity of burrs is determined based on the overall burr factor and the target distances corresponding to all target edges, wherein the overall burr factor is positively correlated with the severity of burrs, and the target distances are negatively correlated with the severity of burrs.

[0012] Optionally, determining the severity of burrs based on the overall burr factor and the target distances corresponding to all target edges includes: Based on the overall burr factor and the target distance corresponding to each target edge, the burr potential factor corresponding to each target edge is determined, wherein the overall burr factor and the burr potential factor are positively correlated, and the target distance and the burr potential factor are negatively correlated. The largest possible spur factor is selected from all possible spur factors corresponding to the target edge and used as the first representative factor of the spur. The sum of all possible spur factors corresponding to the target edges is determined as the second representative factor of the spur. The product of the first representative factor of the burrs and the second representative factor of the burrs is determined as the severity of the burrs.

[0013] Optionally, adjusting the grinding speed at the time to be adjusted based on the severity of burrs and the target pressure includes: The target rotation speed at the time to be adjusted is determined based on the preset grinding speed, the severity of the burrs, and the target pressure. Adjust the grinding speed at the desired adjustment time to bring it to the target speed.

[0014] Optionally, the formula corresponding to the target rotational speed at the time to be adjusted is: ; ; Where v is the target rotational speed at the moment to be adjusted; This is the preset grinding speed; T is the speed adjustment factor. is the normalization function; W is the severity of the spikes; Y is the target pressure.

[0015] The present invention has the following beneficial effects: This invention discloses a precision stamping device for metal foil parts with surface treatment function. It achieves precision stamping of parts, solving the technical problem of poor precision stamping results and improving the accuracy of grinding speed adjustment, thereby enhancing the precision stamping effect. Compared to grinding parts with a fixed grinding speed set manually based on experience, this invention comprehensively considers multiple factors related to grinding speed requirements, such as the part's potential burr factor, overall burr factor, and burr severity. This allows for adaptive adjustment of the grinding speed, resulting in precise grinding of the part surface and thus improving the precision stamping effect. Attached Figure Description

[0016] Figure 1 This is a first axonometric schematic diagram of a portion of the mechanical structure of a precision stamping equipment for metal foil parts with surface treatment function according to the present invention; Figure 2 This is a second axonometric schematic diagram of a portion of the mechanical structure of a precision stamping equipment for metal foil parts with surface treatment function according to the present invention; Figure 3 This is a schematic diagram of the data processing flow corresponding to a precision stamping device for metal foil parts with surface treatment function according to the present invention; The reference numerals in the attached drawings include: 1 is the frame, 2 is the material transport module, 21 is the support, 22 is the clamping component, 23 is the roller, 3 is the pressing block, 31 is the stamping block, 32 is the guiding system, 4 is the bracket, 41 is the camera, 5 is the grinding device, 51 is the grinding roller, 52 is the servo motor, 53 is the pressure sensor, 54 is the control device, 6 is the vacuum cleaner, and 61 is the vacuum hood. Detailed Implementation

[0017] This invention provides a precision stamping apparatus for metal foil parts with surface treatment function, including a precision stamping device for metal foil parts with surface treatment function. The precision stamping device for metal foil parts with surface treatment function can include a grinding device and a stamping device. The grinding device and the stamping device in the precision stamping device for metal foil parts with surface treatment function can be placed independently, that is, the grinding device and the stamping device can be directly combined to form the precision stamping apparatus for metal foil parts with surface treatment function. The grinding device is a commonly used device for deburring parts. The stamping device is a commonly used device for stamping parts.

[0018] Precision stamping equipment for metal foil parts with surface treatment function can also be a device that integrates a grinding device and a stamping device. As a specific implementation, a first isometric schematic diagram of a precision stamping equipment for metal foil parts with surface treatment function can be shown as follows: Figure 1As shown, its second axonometric schematic diagram can be as follows: Figure 2 As shown, a precision stamping equipment for metal foil parts with surface treatment function may include: a frame 1, a material conveying module 2, a support 21, a clamping component 22, a roller 23, a lower pressure block 3, a stamping block 31, a guiding system 32, a bracket 4, a camera 41, a grinding device 5, a grinding roller 51, a servo motor 52, a pressure sensor 53, a control device 54, a vacuum cleaner 6, and a vacuum hood 61. The grinding roller 51, the servo motor 52, the pressure sensor 53, and the control device 54 can constitute the grinding device 5. The lower pressure block 3, the stamping block 31, and the guiding system 32 can constitute the stamping device.

[0019] It should be noted that if the stamping and grinding devices are independent units, a relatively large space is often required to house them during precision stamping, leading to wasted space. Furthermore, when the stamping and grinding devices are separate, the metal foil, after being stamped, often requires a relatively long time to move to the grinding device, resulting in poor efficiency in precision stamping. Therefore, compared to placing the grinding and stamping devices separately, integrating them into a single unit can reduce the overall space required, improve space utilization, and shorten the time it takes for the stamped parts to move to the grinding device, thereby increasing the efficiency of precision stamping.

[0020] An embodiment of the present invention provides a precision stamping device for metal foil parts with surface treatment function, which may include: Figure 1 and Figure 2The diagram shows a precision stamping equipment for metal foil parts with surface treatment function, a data acquisition unit consisting of a camera 41 and a pressure sensor 53, a data processor, and a speed regulator. The signal output terminal of the data acquisition unit is connected to the signal input terminal of the data processor. The data acquisition unit is used to acquire images of the grinding template, the target pressure of the part to be ground at the time of adjustment, and a preset number of initial surface images. Specifically, the camera 41 can acquire images of the grinding template and a preset number of initial surface images, and the pressure sensor 53 can acquire the target pressure. The signal output terminal of the data processor is connected to the signal input terminal of the speed regulator. The data processor can be a conventional microcontroller or other processor chip, such as an FPGA (Field Programmable Gate Array), a CPU (Central Processing Unit), or a MCU (Main Computational Unit). The speed regulator can be a conventional control and regulation device, such as, but not limited to, a wireless controller, a speed monitoring device, and a PID (Proportional-Integral-Derivative) controller.

[0021] The data processor and speed regulator can be installed on a precision stamping equipment for metal foil parts with surface treatment function, and the data acquisition unit, data processor and speed regulator can communicate with each other by wired or wireless means.

[0022] refer to Figure 3 The diagram illustrates a data processing flow diagram corresponding to a precision stamping device for metal foil parts with surface treatment function according to the present invention. Specifically, it shows the steps implemented by the data processor, including: Step S1: Select target surface images from the initial surface images of a preset number of frames, select regions in the same position as the target region from the target surface images as candidate regions for parts, and extract connected components from the candidate regions for parts to obtain target connected components.

[0023] The preset quantity can be a pre-set number. For example, the preset quantity can be 10. The initial surface image can be a surface image of the part to be polished acquired at the time to be adjusted. In addition to the surface of the part to be polished, it often includes a mold used to fix the part to be polished so as to polish burrs and other uneven parts. When acquiring the polishing template image and the preset number of initial surface images, the position and angle of the camera remain unchanged. In practice, when performing precision stamping on parts, it is often necessary to perform part stamping and part deburring. During the part stamping process, a formed part can be obtained through a stamping device. Specifically, a material foil can be placed in a mold for stamping, and the material foil can be squeezed by the upper and lower molds to obtain a formed part. During the part deburring process, a polishing device can be used to polish burrs and other uneven parts on the surface of the part. The time to be adjusted can be the time during the deburring stage after the part to be polished is completed, that is, the time during the part deburring process. This embodiment of the invention can adjust the polishing speed in real time during the part deburring process. The grinding speed can be the rotational speed of the servo motor in the grinding device. The part to be ground can be the part that has been stamped and is undergoing deburring. The target area can be a region with non-zero grayscale values ​​in the difference image between the target surface image and the grinding template image. A region with non-zero grayscale values ​​can be a region composed of pixels with corresponding grayscale values ​​that are not 0. The grinding template image can be a surface image of the grinding mold without the part to be ground placed on it. The grinding mold can be a mold used to fix the part to be ground in order to facilitate the grinding of rough areas such as burrs.

[0024] As an example, this step may include the following steps: The first step is to randomly select one initial surface image from a preset number of initial surface images as the target surface image.

[0025] Optionally, the initial surface image with the highest clarity can be selected from a preset number of initial surface images as the target surface image.

[0026] The second step is to perform image difference between the target surface image and the polishing template image to obtain the difference image between the target surface image and the polishing template image.

[0027] The third step is to construct the target region from all the corresponding pixels with non-zero gray values ​​in the difference image between the target surface image and the polishing template image.

[0028] It should be noted that the target area often includes the component area and the interference area. The interference area can be a noise area.

[0029] The fourth step is to select regions in the same location as the target area from the target surface image as candidate regions for the part.

[0030] The fifth step is to extract the connected components from the candidate regions of the parts to obtain the target connected components.

[0031] The target connected component can be a connected component within the candidate region of the part.

[0032] For example, morphological processing can be performed on the acquired candidate regions of parts. Erosion can be performed through morphological closing operations to obtain small regions within the candidate regions of parts. The candidate regions of parts after closing operations can be expanded through opening operations to compensate for void regions, thereby improving the accuracy of connected component acquisition.

[0033] Step S2: Based on the perimeter and area of ​​the target connected region, and the grayscale values ​​of the regions at the same positions as the target connected region in the difference images between all initial surface images and polishing template images, determine the possible factors of the part corresponding to the target connected region, and based on the possible factors of the part, filter out the target part region from all target connected regions.

[0034] The target part area can represent the part to be polished.

[0035] As an example, this step may include the following steps: The first step involves determining the difference grayscale factor for each pixel in the initial surface image based on the difference image between the initial surface image and the polishing template image for each frame. Then, connected component extraction is performed on the regions in each initial surface image that correspond to the target region. Obtaining the initial connected components may include the following sub-steps: The first sub-step involves determining any initial surface image as a candidate surface image and determining the difference image between the candidate surface image and the polishing template image as a candidate difference image.

[0036] The second sub-step involves determining any one pixel in the aforementioned candidate surface image as a candidate pixel.

[0037] The third sub-step is to determine the first preset value as the difference gray factor corresponding to the candidate pixel in the candidate difference image if the gray value of the pixel at the same position as the candidate pixel is zero.

[0038] The first preset value can be a pre-set value. For example, the first preset value can be 0.

[0039] The fourth sub-step is as follows: if the gray value of the pixel at the same position as the candidate pixel in the candidate difference image is not zero, then the second preset value is determined as the difference gray factor corresponding to the candidate pixel.

[0040] The second preset value can be a pre-set value that is greater than the first preset value. For example, the second preset value can be 1.

[0041] The fifth sub-step involves extracting connected components from the regions in the initial surface image of each frame that are at the same location as the target region, thus obtaining the initial connected components.

[0042] The initial connected component can be a connected component within the same region as the target region in the initial surface image. The initial connected component in the target surface image is also the target connected component in the target surface image.

[0043] It should be noted that the method for obtaining the initial connected component can be the same as the method for obtaining the target connected component, and will not be repeated here.

[0044] The second step is to determine any target connected component as a labeled connected component, and to determine any pixel within the labeled connected component as a labeled pixel.

[0045] The third step is to select pixels from all the initial surface images that are at the same position as the marked pixels as reference pixels, thus obtaining the reference pixel set corresponding to the marked pixels.

[0046] The reference pixel set corresponding to the marked pixel can include pixels in all initial surface images that are at the same position as the marked pixel. The difference grayscale factor corresponding to all pixels in the reference pixel set corresponding to all pixels within the marked connected region can characterize the grayscale situation in the region at the same position as the marked connected region in the difference image between all initial surface images and polishing template images.

[0047] The fourth step is to determine the initial possible factors corresponding to the marked pixels based on the differential grayscale factors and the areas of their respective initial connected regions in the reference pixel set corresponding to the marked pixels.

[0048] Among them, the difference gray factor and the area of ​​the connected region can both be positively correlated with the initial possible factors.

[0049] For example, the formula for determining the initial possible factors corresponding to the marked pixel can be: ; Where p is the initial possible factor corresponding to the marked pixel. N is the number of pixels in the reference pixel set corresponding to the marked pixel, which is equal to the preset number. a is the index of the pixel in the reference pixel set corresponding to the marked pixel. It is the area of ​​the initial connected region to which the a-th pixel belongs in the set of reference pixels corresponding to the marked pixel, and can be represented by the number of pixels in the initial connected region to which the a-th pixel belongs. It is the maximum area of ​​all initially connected regions. It is the differential grayscale factor corresponding to the a-th pixel in the reference pixel set corresponding to the marked pixel, which can be 0 or 1. and Both can be normalized values.

[0050] It should be noted that, since the target region often includes both the component region and the noise interference region, and the area of ​​the component region is often larger than that of the noise interference region, the area of ​​the initial connected region characterizing the component is often larger than the area of ​​the initial connected region characterizing the noise. A larger value generally indicates a larger area of ​​the initial connected region to which the a-th pixel in the reference pixel set corresponding to the marked pixel belongs, and a greater likelihood that the a-th pixel in the reference pixel set corresponding to the marked pixel is a part pixel. A larger value for p generally indicates that the grayscale value of the a-th pixel in the reference pixel set corresponding to the marked pixel is more likely to be non-zero in its difference image, and thus more likely that the a-th pixel in the reference pixel set corresponding to the marked pixel is a part pixel. In practice, when a large number of pixels at a certain location in multiple initial surface images are identified as part pixels, it often indicates that the pixel at that location is very likely to be a real part pixel. Furthermore, this part identification method can reduce the influence of some interference factors to a certain extent, making the subsequently identified part regions more realistic. A larger value for p generally indicates that pixels at the same location as the marked pixel in multiple initial surface images are more likely to be part pixels, and thus more likely that the marked pixel is a part pixel.

[0051] The fifth step, based on the perimeter and area of ​​the marked connected region and the initial possible factors corresponding to all pixels within the marked connected region, determines the possible factors of the part corresponding to the marked connected region, which may include the following sub-steps: The first sub-step is to determine the ratio of the perimeter to the area of ​​the marked connected region as the target shape feature corresponding to the marked connected region.

[0052] The second sub-step involves determining the possible factors of the parts corresponding to the marked connected regions based on the initial possible factors corresponding to all pixels within the marked connected regions and the target shape features corresponding to the marked connected regions.

[0053] Among them, both the initial probability factor and the target shape feature can be positively correlated with the part probability factor.

[0054] For example, the formula for determining the possible factors of parts corresponding to a marked connected component can be: ; ; Where D is the possible factor of the part corresponding to the labeled connected component. A is the target shape feature corresponding to the labeled connected component. It is the maximum value of the target shape features corresponding to all target connected components. This is the normalized value, mainly used to normalize A. n is the number of pixels in the connected component. j is the index of the pixel in the connected component. is the initial possible factor corresponding to the j-th pixel in the labeled connected region. L is the perimeter of the labeled connected region, which can be represented by the number of pixels on the boundary of the labeled connected region. m is the area of ​​the labeled connected region, which can be represented by the number of pixels in the labeled connected region.

[0055] It should be noted that in reality, the shape of parts is often irregular, and the surface of stamped parts often has burrs. Therefore, the perimeter-to-area ratio of the part area is often relatively large. A larger value generally indicates a larger perimeter-to-area ratio for the marked connected region, and thus a greater likelihood that the marked connected region represents a part region. A larger value for D generally indicates that the j-th pixel within the labeled connected region is more likely to be a part pixel. Therefore, a larger value for D generally indicates that the labeled connected region is more likely to represent a part region.

[0056] Step 6: If the component probability factor corresponding to the target connected component is greater than the preset component threshold, then the target connected component is determined as the target component region.

[0057] The preset part threshold can be a pre-set threshold. For example, the preset part threshold can be 0.8.

[0058] Optionally, the target connected region with the largest possible factor of the part can be determined as the target part region.

[0059] Step S3: Based on the path fluctuation changes and goodness of fit corresponding to the boundary of the target part area, determine the overall burr factor, and perform edge detection on the target part area to obtain the target edge.

[0060] As an example, this step may include the following steps: The first step is to perform curve fitting on the boundary of the target part region to obtain the target boundary curve, and then determine the variance of the slope corresponding to all pixels on the target boundary curve as the path fluctuation change factor corresponding to the target part region.

[0061] The second step is to determine the pixels on the boundary of the target part region as reference boundary pixels, and to determine the proportion of reference boundary pixels on the target boundary curve as the target fit goodness corresponding to the target part region.

[0062] The third step is to determine the overall spurt factor based on the path fluctuation change factor and the target goodness of fit mentioned above.

[0063] Specifically, the path fluctuation variation factor mentioned above can be positively correlated with the overall spur factor mentioned above. The target goodness of fit mentioned above can be negatively correlated with the overall spur factor mentioned above.

[0064] For example, the formula for determining the overall burr factor can be: ; KL is the overall burr factor. It is the path fluctuation change factor corresponding to the target part area. It is a natural exponential function. h is the number of reference boundary pixels on the target boundary curve. H is the number of pixels on the target boundary curve. It is the target goodness of fit corresponding to the target part region.

[0065] It should be noted that in practice, during the stamping process of parts, burrs are often generated at the boundaries of the parts; that is, burrs are most commonly found at the boundaries of the parts. The more severe the burrs at the boundaries, the more chaotic the directional changes at different locations on the boundary, and the less smooth the boundary becomes. A larger value often indicates more chaotic path fluctuations at the boundary of the target part area, more chaotic directional changes at different points on the part boundary (represented by the target part area boundary), and more severe burrs at the boundary of the part to be ground. A larger value for KL generally indicates a higher goodness of fit when curve fitting the boundary of the target part area, a smoother boundary of the target part area, and less severe burrs at the boundary of the part to be polished. Therefore, a larger KL value generally indicates more severe burrs at the boundary of the part to be polished.

[0066] The fourth step is to perform edge detection on the target part area to obtain the target edge.

[0067] For example, the edge detection algorithm of the Canny operator can be used to perform edge detection on the target part area, and the edge obtained at this time is the target edge.

[0068] Step S4: Determine the severity of burrs based on the overall burr factor and the shortest distance between each target edge and the boundary of the target part area.

[0069] As an example, this step may include the following steps: The first step is to determine the shortest distance between each target edge and the boundary of the target part area, which is the target distance corresponding to each target edge.

[0070] The second step is to determine the severity of the burrs based on the overall burr factor and the target distances corresponding to all target edges.

[0071] The overall burr factor is positively correlated with the burr severity. The target distance is negatively correlated with the burr severity.

[0072] For example, determining the severity of burrs may include the following sub-steps: The first sub-step involves determining the possible spur factor for each target edge based on the overall spur factor and the target distance corresponding to each target edge.

[0073] Among them, the overall spurt factor can be positively correlated with the spurt probability factor. The target distance is negatively correlated with the spurt probability factor.

[0074] For example, the formula for determining the burr probability factor corresponding to the target edge can be: ; in, is the spurious factor corresponding to the i-th target edge. i is the index of the target edge. KL is the overall spurious factor. It is a natural exponential function. It is the target distance corresponding to the edge of the i-th target. It is the maximum value of the target distances corresponding to all target edges. It is a normalized value, mainly used for implementation Normalization.

[0075] It should be noted that in practice, during the stamping process of parts, burrs are often generated at the boundaries of the parts; that is, burrs are most commonly found on the surface of the parts at the boundaries. When The smaller the value of KL, the closer the i-th target edge is to the boundary of the part to be polished, and the more likely the i-th target edge is to be a burr edge. Conversely, the larger the value of KL, the more severe the burrs at the boundary of the part to be polished, and the more likely the edges within the region representing the part to be polished are to be burr edges. Therefore, when... The larger the value, the more likely the edge of the i-th target is to be a burr edge.

[0076] The second sub-step involves selecting the largest possible spur factor from all possible spur factors corresponding to the target edges, and using it as the first representative factor of the spur.

[0077] The third sub-step is to determine the sum of the possible spur factors corresponding to all target edges as the second representative factor of the spur.

[0078] The fourth sub-step is to determine the severity of the burrs by multiplying the first representative factor and the second representative factor of the burrs mentioned above.

[0079] In some embodiments, the speed regulator, used to adjust the grinding speed at the time to be adjusted based on the severity of the burrs and the target pressure, may include the following steps: The first step is to determine the target rotation speed at the time to be adjusted, based on the preset grinding speed, the severity of the burrs, and the target pressure.

[0080] The preset grinding speed can be a pre-set grinding speed. For example, the preset grinding speed can be the maximum allowable grinding speed when deburring a part with the same specifications and model as the part to be ground, and it can be set based on manual experience. The target pressure can be the grinding pressure at the time to be adjusted. Grinding pressure is the pressure fed back during the grinding process of the part. In practice, grinding rollers are generally used for grinding. When grinding rollers are used, the grinding pressure can be the pressure of the grinding rollers.

[0081] For example, the formula for determining the target rotational speed at the time to be adjusted can be: ; ; Where v is the target rotational speed at the moment to be adjusted. This is the preset grinding speed. T is the speed adjustment factor. W is the severity of burrs. Y is the target pressure. It is the initial adjustment factor of the part to be polished at the time of adjustment. This is a normalization function, mainly used to normalize the initial adjustment factor, mapping the value to 0-1. Other normalization functions can also be used depending on the actual situation, such as maximum-minimum normalization functions. For example, the method for normalizing the initial adjustment factor can be: obtain the initial adjustment factor of each historically ground part at each historical moment, and determine the reference adjustment factor as the maximum value of the initial adjustment factor of the part to be ground at the adjustment moment and the initial adjustment factors of all historically ground parts at all historical moments. The ratio of the initial adjustment factor of the part to be ground at the adjustment moment to the reference adjustment factor is determined as the normalized value of the initial adjustment factor, denoted as the speed adjustment factor at the adjustment moment. Historically ground parts can be parts that have undergone stamping and deburring. Historical moments can be the moments during the deburring stage after stamping of the historically ground part. The method for obtaining the initial adjustment factor of historically ground parts at historical moments can be the same as the method for obtaining the initial adjustment factor of the part to be ground at the adjustment moment, and will not be elaborated here.

[0082] It should be noted that in practice, higher grinding pressure often increases friction and heat between the grinding roller and the part surface, potentially leading to the formation of new burrs. A larger W generally indicates more severe burrs on the part surface. A larger Y generally indicates higher grinding pressure at the adjustment point, which in turn suggests a greater likelihood of new burrs forming at that point. In practice, more severe burrs often require a higher grinding speed to achieve efficient burr removal. Less severe burrs often require a lower grinding speed for finer burr removal. Therefore, v can characterize the adjusted grinding speed.

[0083] The second step is to adjust the grinding speed at the time of adjustment to the target speed.

[0084] For example, a PID (Proportional-Integral-Derivative) controller can be used to control and adjust the speed of the servo motor in the grinding device, so that the speed of the servo motor is adjusted to the target speed.

[0085] It should be noted that during the grinding of parts in a mold, the grinding rollers and the parts being ground often produce grinding byproducts, resulting in dust in the mold. This dust may adhere to the mold surface, affecting the quality of the next stamping. Therefore, a vacuum cleaner with negative pressure suction function can be added to the grinding device to remove the dust and impurities generated during the grinding process through pipes, preventing dust accumulation in the mold.

[0086] In summary, compared to placing the grinding and stamping devices separately, this invention integrates them, reducing the overall space required and improving space utilization. It also reduces the time required to move stamped parts to the grinding device, thus improving the efficiency of precision stamping. Secondly, compared to grinding parts using a fixed grinding speed set manually, this invention comprehensively considers multiple factors related to grinding speed requirements, such as the part's potential burr factor, overall burr factor, and burr severity. This allows for adaptive adjustment of the grinding speed, resulting in precise grinding of the part's surface and improving the effectiveness of precision stamping.

Claims

1. A precision stamping apparatus for metal foil parts with surface treatment function, comprising a precision stamping machine for metal foil parts with surface treatment function, the precision stamping machine for metal foil parts with surface treatment function comprising a grinding device and a stamping device, characterized in that, The precision stamping device for metal foil parts with surface treatment function also includes a data acquisition unit, a data processor, and a speed regulator; The signal output terminal of the data acquisition unit is connected to the signal input terminal of the data processor. The data acquisition unit is used to acquire the image of the grinding template, the target pressure of the part to be ground at the time to be adjusted, and the initial surface image of the preset number of frames. The time to be adjusted is the time during the burr grinding stage after the part to be ground is stamped. The signal output terminal of the data processor is connected to the signal input terminal of the speed regulator. A data processor is used to perform the following steps: The target surface image is selected from the initial surface images of a preset number of frames. The region with the same position as the target region is selected from the target surface image as the part candidate region. The connected component is extracted from the part candidate region to obtain the target connected component. The target region is the region with non-zero gray value in the difference image between the target surface image and the polishing template image. Based on the perimeter and area of ​​the target connected region, and the grayscale values ​​of the regions at the same location as the target connected region in the difference images between all initial surface images and polishing template images, the possible factors of the part corresponding to the target connected region are determined, and the target part region is selected from all target connected regions based on the possible factors of the part. Based on the path fluctuation changes and goodness of fit corresponding to the boundary of the target part area, the overall burr factor is determined, and edge detection is performed on the target part area to obtain the target edge; The severity of burrs is determined based on the overall burr factor and the shortest distance between each target edge and the boundary of the target part area; The speed regulator is used to adjust the grinding speed at the time of adjustment based on the severity of burrs and the target pressure.

2. The precision stamping device for metal foil parts with surface treatment function according to claim 1, characterized in that, The step of determining the possible factors of the part corresponding to the target connected region based on the perimeter and area of ​​the target connected region, and the grayscale values ​​of the regions at the same location as the target connected region in the difference images between all initial surface images and polishing template images, includes: Based on the difference image between the initial surface image and the polishing template image of each frame, the difference gray level factor corresponding to each pixel in the initial surface image is determined, and the connected component is extracted from the region at the same position as the target region in the initial surface image of each frame to obtain the initial connected component. Any target connected component is defined as a labeled connected component, and any pixel within the labeled connected component is defined as a labeled pixel. Pixels with the same position as the marked pixel are selected from all initial surface images and used as reference pixels to obtain a set of reference pixels corresponding to the marked pixel. The differential gray factor of all pixels in the set of reference pixels corresponding to all pixels in the marked connected region represents the gray level in the region with the same position as the marked connected region in the difference image between all initial surface images and polishing template images. Based on the differential grayscale factor and the area of ​​the initial connected region of all pixels in the reference pixel set corresponding to the marked pixel, the initial possible factor corresponding to the marked pixel is determined, wherein the differential grayscale factor and the area of ​​the connected region are both positively correlated with the initial possible factor. Based on the perimeter and area of ​​the marked connected region, and the initial possible factors corresponding to all pixels within the marked connected region, the part possible factors corresponding to the marked connected region are determined.

3. The precision stamping device for metal foil parts with surface treatment function according to claim 2, characterized in that, The step of determining the differential grayscale factor corresponding to each pixel in the initial surface image based on the difference image between each frame of the initial surface image and the polishing template image includes: Any initial surface image is determined as a candidate surface image, and the difference image between the candidate surface image and the polishing template image is determined as a candidate difference image. Any pixel in the candidate surface image is selected as a candidate pixel. If the gray value of a pixel at the same position as the candidate pixel in the candidate difference image is zero, then the first preset value is determined as the difference gray factor corresponding to the candidate pixel. If the gray value of a pixel at the same position as the candidate pixel in the candidate difference image is not zero, then the second preset value is determined as the difference gray factor corresponding to the candidate pixel, wherein the second preset value is greater than the first preset value.

4. A precision stamping device for metal foil parts with surface treatment function according to claim 2, characterized in that, The step of determining the part possibility factor corresponding to the marked connected region based on the perimeter and area of ​​the marked connected region and the initial possibility factors corresponding to all pixels in the marked connected region includes: The ratio of the perimeter to the area of ​​the marked connected region is determined as the target shape feature corresponding to the marked connected region; Based on the initial possible factors corresponding to all pixels in the marked connected region and the target shape features corresponding to the marked connected region, the possible factors of the part corresponding to the marked connected region are determined, wherein the initial possible factors and the target shape features are both positively correlated with the possible factors of the part.

5. A precision stamping device for metal foil parts with surface treatment function according to claim 1, characterized in that, The process of filtering target part regions from all target connected components based on part probability factors includes: If the component probability factor corresponding to the target connected component is greater than the preset component threshold, then the target connected component is determined as the target component region.

6. The precision stamping device for metal foil parts with surface treatment function according to claim 1, characterized in that, The determination of the overall burr factor based on the path fluctuation changes and goodness of fit corresponding to the boundary of the target part area includes: Curve fitting is performed on the boundary of the target part region to obtain the target boundary curve, and the variance of the slope corresponding to all pixels on the target boundary curve is determined as the path fluctuation change factor corresponding to the target part region. The pixels on the boundary of the target part region are determined as reference boundary pixels, and the proportion of reference boundary pixels on the target boundary curve is determined as the target fit goodness corresponding to the target part region. The overall spurt factor is determined based on the path fluctuation change factor and the target goodness of fit, wherein the path fluctuation change factor is positively correlated with the overall spurt factor, and the target goodness of fit is negatively correlated with the overall spurt factor.

7. A precision stamping device for metal foil parts with surface treatment function according to claim 1, characterized in that, The determination of burr severity based on the overall burr factor and the shortest distance between each target edge and the boundary of the target part area includes: The shortest distance between each target edge and the boundary of the target part area is determined as the target distance corresponding to each target edge. The severity of burrs is determined based on the overall burr factor and the target distances corresponding to all target edges, wherein the overall burr factor is positively correlated with the severity of burrs, and the target distances are negatively correlated with the severity of burrs.

8. A precision stamping device for metal foil parts with surface treatment function according to claim 7, characterized in that, The step of determining the severity of burrs based on the overall burr factor and the target distances corresponding to all target edges includes: Based on the overall burr factor and the target distance corresponding to each target edge, the burr potential factor corresponding to each target edge is determined, wherein the overall burr factor and the burr potential factor are positively correlated, and the target distance and the burr potential factor are negatively correlated. The largest possible spur factor is selected from all possible spur factors corresponding to the target edge and used as the first representative factor of the spur. The sum of all possible spur factors corresponding to the target edges is determined as the second representative factor of the spur. The product of the first representative factor of the burrs and the second representative factor of the burrs is determined as the severity of the burrs.

9. A precision stamping device for metal foil parts with surface treatment function according to claim 1, characterized in that, The adjustment of the grinding speed at the time of adjustment is based on the severity of burrs and the target pressure, including: The target rotation speed at the time to be adjusted is determined based on the preset grinding speed, the severity of the burrs, and the target pressure. Adjust the grinding speed at the desired adjustment time to bring it to the target speed.

10. A precision stamping device for metal foil parts with surface treatment function according to claim 9, characterized in that, The formula corresponding to the target rotational speed at the time to be adjusted is: ； ； Where v is the target rotational speed at the moment to be adjusted; This is the preset grinding speed; T is the speed adjustment factor. is the normalization function; W is the severity of the spikes; Y is the target pressure.

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