Method for acquiring coupling relationship between surface topography of automobile outer covering and painting appearance

Abstract

The application discloses a method for obtaining coupling relationship between surface morphology and coating appearance of an automobile outer covering part. The method comprises the following steps: using the shape of a target covering part to perform strain measurement grid printing treatment on a first set of samples, and obtaining target deformation and target bulging height of the first set of samples; using the target bulging height to perform bulging test and coating hanging piece test on a second set of samples and a third set of samples, and performing coating appearance detection on the second set of samples and the third set of samples after the coating hanging piece test is completed, and obtaining target surface roughness characteristic parameters and target detection results; and using the target surface roughness characteristic parameters, the target detection results and first surface roughness characteristic parameters of the first set of samples to perform regression analysis processing, and obtaining the coupling relationship between the surface morphology and the coating appearance of the automobile outer covering part. The method disclosed by the application can obtain the coupling relationship between the surface morphology and the coating appearance of the automobile outer covering part.

Description

Technical Field

[0001] This invention relates to the field of automotive manufacturing technology, and in particular to a method for obtaining the coupling relationship between the surface morphology and coating appearance of automotive exterior body panels. Background Technology

[0002] The automobile manufacturing process consists of four major processes: stamping, welding, painting, and final assembly. After stamping, steel sheet material enters the welding process, followed by the painting process, which involves pretreatment, electrophoresis, and spray painting. Currently, with the development of the automotive industry and the economy, consumers not only have higher requirements for vehicle safety and performance, but also pay increasing attention to the appearance of the paint finish. In the painting process, the appearance of the electrophoretic paint film and topcoat directly affects the overall paint finish quality. The surface morphology of stamped parts has a significant impact on the paint finish appearance. Therefore, there is an urgent need for a method that can determine the coupling relationship between the surface morphology of automotive exterior panels and the paint finish appearance, allowing for the prediction of paint quality based on the surface morphology of the panels and the avoidance and adjustment of defective parts. Summary of the Invention

[0003] This invention provides a method for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior panel, which can improve the control accuracy of coating quality by utilizing the coupling relationship.

[0004] A first aspect of this invention provides a method for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior body panel, the method comprising:

[0005] Using the shape of the target cover, the first set of specimens is subjected to strain measurement grid printing. When the shape of the first set of specimens becomes the shape of the target cover, the target deformation amount of the first set of specimens and the target bulging height corresponding to the target deformation amount are obtained. The first set of specimens includes multiple specimens.

[0006] Using the target bulging height, bulging tests were conducted on the second set of samples and the third set of samples to obtain target surface roughness characteristic parameters. The target surface roughness characteristic parameters include the second surface roughness characteristic parameters corresponding to the second set of samples and the third surface roughness characteristic parameters of the third set of samples. The second set of samples and the third set of samples are the same and each contains multiple samples with different surface morphologies.

[0007] The second set of samples and the third set of samples were subjected to a coating sticking test, wherein the sticking position during the coating sticking test was the location of the target cover. The second set of samples underwent pretreatment and electrophoresis treatment in sequence during the coating sticking test, and the third set of samples underwent pretreatment, electrophoresis treatment and painting treatment in sequence during the coating sticking test.

[0008] After the coating plating test is completed, the second set of samples and the third set of samples are subjected to coating appearance inspection to obtain target inspection results, wherein the target inspection results include the inspection results of the second set of samples and the inspection results of the third set of samples;

[0009] By using the target surface roughness characteristic parameters, the target detection results, and the first surface roughness characteristic parameters of the first set of samples, regression analysis is performed to obtain the coupling relationship between the surface morphology and coating appearance of the automotive exterior body panel.

[0010] Optionally, the step of performing regression analysis using the target surface roughness characteristic parameters, the target detection results, and the first surface roughness characteristic parameters of the first set of samples to obtain the coupling relationship between the surface morphology and coating appearance of the automotive exterior body panel includes:

[0011] If the test results of the second set of samples include the target Ra value of the electrophoretic coating roughness of the second set of samples, then the first regression relationship between the surface roughness feature parameter and the Ra value is established using the target Ra value, the target surface roughness feature parameter and the first surface roughness feature parameter.

[0012] If the test results of the third set of samples include the target DOI value of the paint vividness of the third set of samples, then a second regression relationship between the surface roughness feature parameter and the DOI value is established using the target DOI value, the target surface roughness feature parameter and the first surface roughness feature parameter.

[0013] The coupling relationship is obtained based on the first regression relationship and the second regression relationship.

[0014] Optionally, establishing a first regression relationship between the surface roughness feature parameter and the Ra value using the target Ra value, the target surface roughness feature parameter, and the first surface roughness feature parameter includes:

[0015] Using the target Ra value, the target surface roughness feature parameter, and the first surface roughness feature parameter, a first multivariate linear relationship between the surface roughness feature parameter and the Ra value is established, wherein the first multivariate linear relationship is the first regression relationship.

[0016] Optionally, establishing a second regression relationship between the surface roughness feature parameters and the DOI value using the target DOI value, the target surface roughness feature parameters, and the first surface roughness feature parameters includes:

[0017] Using the target DOI value, the target surface roughness feature parameter, and the first surface roughness feature parameter, a second multivariate linear relationship between the surface roughness feature parameter and the DOI value is established, wherein the second multivariate linear relationship serves as the second regression relationship.

[0018] Optionally, the step of using the target bulging height to conduct bulging tests on the second and third sets of samples to obtain target surface roughness characteristic parameters includes:

[0019] The second set of samples is subjected to a bulging test using the target bulging height to obtain the second surface roughness characteristic parameters, wherein the second surface roughness characteristic parameters include at least three of Ra, RPc, Rz, Rmax, Rt, R3z and Wsa1-5;

[0020] The third set of samples is subjected to a bulging test using the target bulging height to obtain the third surface roughness characteristic parameter. The third surface roughness characteristic parameter includes at least three of Ra, RPc, Rz, Rmax, Rt, R3z and Wsa1-5. The target surface roughness characteristic parameter includes the second surface roughness characteristic parameter and the third surface roughness characteristic parameter.

[0021] Optionally, the step of using the shape of the target cover to perform strain measurement grid printing on the first set of samples, and obtaining the target deformation amount and the target bulging height corresponding to the target deformation amount when the shape of the first set of samples becomes the shape of the target cover, includes:

[0022] The first sample in the first set of samples is subjected to strain measurement grid printing. When the shape of the first sample becomes the shape of the target cover, the deformation of the first sample is obtained as the target deformation.

[0023] The second specimen in the first set of specimens is subjected to strain measurement grid printing and bulging test at different bulging heights to obtain the bulging height of the second specimen as the target bulging height. The second specimen is all the remaining specimens in the first set of specimens except the first specimen.

[0024] Optionally, the surface roughness characteristic parameters of each sample in the second set of samples and the third set of samples have Ra values ​​between 0.5 μm and 1.5 μm, RPc values ​​between 50 / cm and 150 / cm, and Wsa1-5 values ​​between 0.1 μm and 0.5 μm; the Ra difference between any two samples in the second set of samples and the third set of samples is greater than 0.4 μm, the RPc difference is greater than 5 / cm, and the Wsa1-5 difference is greater than 0.02 μm.

[0025] A second aspect of the present invention also provides an apparatus for determining the coupling relationship between the surface morphology and coating appearance of an automotive exterior body panel, the apparatus comprising:

[0026] The target parameter acquisition unit is used to print strain measurement grids on the first set of samples using the shape of the target cover. When the shape of the first set of samples becomes the shape of the target cover, the unit acquires the target deformation amount of the first set of samples and the target bulging height corresponding to the target deformation amount. The first set of samples includes multiple samples.

[0027] The surface roughness feature parameter acquisition unit is used to perform bulging tests on the second set of samples and the third set of samples using the target bulging height to acquire the target surface roughness feature parameters. The target surface roughness feature parameters include the second surface roughness feature parameters corresponding to the second set of samples and the third surface roughness feature parameters of the third set of samples. The second set of samples and the third set of samples are the same and each contains multiple samples with different surface morphologies.

[0028] The coating strip processing unit is used to perform coating strip tests on the second set of samples and the third set of samples. During the coating strip test, the coating strip position is the location of the target cover. The second set of samples completes pretreatment and electrophoresis treatment in sequence during the coating strip test, and the third set of samples completes pretreatment, electrophoresis treatment and painting treatment in sequence during the coating strip test.

[0029] The coating appearance inspection unit is used to perform coating appearance inspection on the second set of samples and the third set of samples after the coating stick test is completed, and to obtain the target inspection result, wherein the target inspection result includes the inspection result of the second set of samples and the inspection result of the third set of samples.

[0030] The coupling relationship acquisition unit is used to perform regression analysis processing using the target surface roughness feature parameters, the target detection results and the first surface roughness feature parameters of the first set of samples to obtain the coupling relationship between the surface morphology and coating appearance of the automotive exterior body panel.

[0031] A third aspect of the present invention provides an electronic device including a memory and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by one or more processors, comprising operation instructions for performing a method for obtaining the coupling relationship between the surface morphology and the coating appearance of an automotive exterior panel as provided in the first aspect.

[0032] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps corresponding to the method provided in the first aspect for obtaining the coupling relationship between the surface morphology and the coating appearance of an automotive exterior body panel.

[0033] The above-described one or more technical solutions in the embodiments of this application have at least the following technical effects:

[0034] Based on the above technical solution, a first set of samples, a second set of samples, and a third set of samples are obtained. The first set of samples undergoes strain measurement mesh printing processing, transforming its shape into the shape of the target cover part. The target deformation and target bulging height are then obtained. The target bulging height is used to conduct bulging tests on the second and third sets of samples to obtain target surface roughness characteristic parameters. When the mounting plate position is the location of the target cover part, a coating mounting plate test is performed on the second and third sets of samples. After the coating mounting plate test, the second and third sets of samples undergo coating appearance inspection to obtain the target inspection results. Thus, by performing regression analysis on the target surface roughness characteristic parameters obtained from the three sets of samples, the target inspection results, and the first surface roughness characteristic parameters of the first set of samples, the coupling relationship between the surface morphology of the automotive exterior cover part and the coating appearance is obtained. This coupling relationship allows for improved control accuracy of coating quality, avoidance and adjustment of defective parts, and ultimately, improved coating efficiency. Attached Figure Description

[0035] Figure 1 A flowchart illustrating the method for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior panel according to an embodiment of this application;

[0036] Figure 2 A block diagram of an apparatus for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior panel, as provided in an embodiment of this application.

[0037] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0038] The main implementation principles, specific implementation methods, and corresponding beneficial effects of the technical solutions of the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0039] Example

[0040] Please refer to Figure 1 This application provides a method for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior body panel, the method comprising:

[0041] S101. Using the shape of the target cover, the first set of samples is subjected to strain measurement grid printing process. When the shape of the first set of samples becomes the shape of the target cover, the target deformation amount of the first set of samples and the target bulging height corresponding to the target deformation amount are obtained. The first set of samples includes multiple samples.

[0042] S102. Using the target bulging height, bulging tests are performed on the second set of samples and the third set of samples to obtain target surface roughness characteristic parameters. The target surface roughness characteristic parameters include the second surface roughness characteristic parameters corresponding to the second set of samples and the third surface roughness characteristic parameters of the third set of samples. The second set of samples and the third set of samples are the same and each contains multiple samples with different surface morphologies.

[0043] S103. A coating strip test is performed on the second set of samples and the third set of samples. During the coating strip test, the strip is placed at the location of the target cover. The second set of samples undergoes pretreatment and electrophoresis treatment in sequence during the coating strip test. The third set of samples undergoes pretreatment, electrophoresis treatment and painting treatment in sequence during the coating strip test.

[0044] S104. After the coating plating test is completed, the second set of samples and the third set of samples are subjected to coating appearance inspection to obtain target inspection results, wherein the target inspection results include the inspection results of the second set of samples and the inspection results of the third set of samples.

[0045] S105. Using the target surface roughness characteristic parameters, the target detection results, and the first surface roughness characteristic parameters of the first set of samples, regression analysis is performed to obtain the coupling relationship between the surface morphology and coating appearance of the automotive exterior body panel.

[0046] The method for obtaining the coupling relationship between the surface morphology and coating appearance of automotive exterior body panels in the embodiments of this specification is typically applied in a server or user terminal. The server may be, for example, a desktop computer, a laptop computer, an all-in-one computer, or a tablet computer, and the user terminal may be, for example, a desktop computer, a laptop computer, an all-in-one computer, a tablet computer, or a smartphone.

[0047] In step S101, three sets of samples using the same substrate for the target automotive exterior body panel are prepared. The three sets of samples include a first set of samples, a second set of samples, and a third set of samples. The first set of samples includes multiple samples cut from the substrate. The second set of samples includes multiple samples cut from substrates with different surface morphologies. The third set of samples is exactly the same as the second set of samples. Of course, the third set of samples may be the same as some of the samples in the second set of samples. This specification does not impose specific restrictions.

[0048] In one embodiment, the first set of samples may include 8, 9, 10 and 20 samples, and the following example specifically shows that the first set of samples includes 10 samples.

[0049] In one embodiment, the first sample in the first set of samples can be subjected to strain measurement mesh printing processing. When the shape of the first sample becomes the shape of the target cover, the deformation amount of the first sample is obtained as the target deformation amount. The second sample in the first set of samples can be subjected to strain measurement mesh printing processing, and bulging tests are carried out at different bulging heights to obtain the bulging height of the second sample as the target bulging height. The second sample is all the remaining samples in the first set of samples other than the first sample.

[0050] Specifically, the first sample may contain one or more samples, and similarly, the second sample may also contain one or more samples, wherein the dimensions of each sample in the first sample meet the specifications for stamping the target outer cover, and the dimensions of each sample in the second sample meet the specifications for conducting a bulging test.

[0051] Specifically, strain measurement grids can be printed on each sample in the first set of samples first. Then, the first sample is stamped using a target cover stamping die to make the shape of the first sample into the shape of the target cover. Strain analysis is then performed to obtain the main deformation of the first sample as the target deformation. According to different bulging heights, bulging tests are performed on the samples in the second set of samples in sequence. Then, strain analysis is performed on the second sample after the bulging test and compared with the target deformation to determine the bulging height required for the substrate to achieve the target deformation. The determined bulging height is then used as the target bulging height.

[0052] For example, taking a first set of samples containing one sample as an example, the size of the first sample in the first set of samples can meet the specifications for stamping into the target outer cover. The sizes of the other nine samples are 210×210mm or 240×240mm, etc., to meet the sample specification requirements for bulging tests. Then, the first sample can be processed by printing a strain measurement grid, and then the first sample can be stamped using the target cover stamping die to prepare the shape of the first sample into the shape of the target cover. Then, strain analysis is performed to obtain the main deformation of the first sample as the target deformation. According to different bulging heights, the other nine samples are subjected to bulging tests in sequence. Then, strain analysis is performed on the nine samples after the bulging test, and the results are compared with the target deformation to determine the bulging height required for the substrate to achieve the target deformation. The determined bulging height is then taken as the target bulging height.

[0053] After obtaining the target deformation amount and the target bulging height, proceed to step S102.

[0054] In step S102, a bulging test can be performed on the second set of samples using the target bulging height to obtain the second surface roughness characteristic parameters. The second surface roughness characteristic parameters include at least three of the following: profile arithmetic mean deviation Ra, the number of roughness profile elements continuously passing through the specified upper and lower profile cutoff lines within a unit length RPc, the height of the ten micro-irregularities Rz, the maximum value of Rzi within the evaluation length Rmax, the maximum peak-valley vertical distance Rt within the evaluation length, the vertical distance between the third highest profile peak and the third highest profile valley within a sampling length on the roughness profile R3z, and waviness Wsa1-5. Here, Rzi is the vertical distance between the highest peak and the lowest valley within a sampling length. A bulging test can also be performed on the third set of samples using the target bulging height to obtain the third surface roughness characteristic parameters. The third surface roughness characteristic parameters include at least three of Ra, RPc, Rz, Rmax, Rt, R3z, and Wsa1-5. The target surface roughness characteristic parameters include both the second and third surface roughness characteristic parameters.

[0055] In one embodiment, the second surface roughness feature parameter may include three feature parameters: Ra, RPc, and Wsa1-5; or five feature parameters: Ra, RPc, Rz, Rmax, and Wsa1-5; or seven feature parameters: Ra, RPc, Rz, Rmax, Rt, R3z, and Wsa1-5. Of course, the third surface roughness feature parameter is consistent with the feature parameters included in the second surface roughness feature parameter. If the second surface roughness feature parameter includes Ra, RPc, and Wsa1-5, then the third surface roughness feature parameter also includes Ra, RPc, and Wsa1-5. In one embodiment, the third surface roughness feature parameter may differ from the feature parameters included in the second surface roughness feature parameter. If the second surface roughness feature parameter includes Ra, RPc, and Wsa1-5, then the third surface roughness feature parameter also includes seven feature parameters: Ra, RPc, Rz, Rmax, Rt, R3z, and Wsa1-5.

[0056] In another embodiment, in order to ensure that the key surface morphology parameters of the second and third sets of samples have a certain gradient after the bulging test, so as to improve the accuracy of obtaining the first and second regression relationships in subsequent regression analysis, the surface roughness parameters of each sample in the second set of samples can be controlled to have Ra values ​​between 0.5 μm and 1.5 μm, RPc values ​​between 50 / cm and 150 / cm, and Wsa1-5 values ​​between 0.1 μm and 0.5 μm; the difference in Ra between any two samples in the second set of samples is greater than 0.4 μm, the difference in RPc is greater than 5 / cm, and the difference in Wsa1-5 is greater than 0.02 μm. Correspondingly, the Ra value of each sample in the third set of samples can be controlled to be between 0.5 μm and 1.5 μm, the RPc value to be between 50 / cm and 150 / cm, and the Wsa1-5 value to be between 0.1 μm and 0.5 μm; the Ra difference between any two samples in the third set of samples can be greater than 0.4 μm, the RPc difference greater than 5 / cm, and the Wsa1-5 difference greater than 0.02 μm.

[0057] In one embodiment, the second set of samples may include 10, 19, 20 and 30 samples, and the third set of samples may include 10, 19, 20, 30 and 40 samples. The following example specifically shows that the second and third sets of samples include 20 identical samples.

[0058] For example, the second set of specimens includes twenty specimens cut from substrates with twenty different surface topographies, and the cutting sizes are 210×210 mm or 240×240 mm, etc., to meet the requirements for specimen specifications in the bulging test; the range of surface topography characteristic parameters of the twenty specimens needs to meet the following requirements: 0.5um < Ra < 1.5um, 50 / cm < RPc < 150 / cm, 0.10um < Wsa1-5 < 0.5um, and the difference in Ra values between any two specimens > 0.04um, the difference in RPc values > 5 / cm, and the difference in Wsa1-5 values > 0.02um. The twenty specimens in the third set are the same as the twenty specimens in the second set.

[0059] Moreover, after obtaining the second surface roughness characteristic parameters and the third surface roughness characteristic parameters, the second surface roughness characteristic parameters and the third surface roughness characteristic parameters can be used as the target surface roughness characteristic parameters.

[0060] After obtaining the target surface roughness characteristic parameters, step S103 is executed.

[0061] In step S103, a painting hanging piece test is performed on the second set of specimens. The hanging piece position is the position where the target covering part is located. The hanging piece sequentially completes the pretreatment and electrophoresis process flow. Since the pretreatment and electrophoresis conditions at different positions are not the same, the hanging piece position is the same as the position where the target covering part is located, so that the pretreatment and electrophoresis performance indexes of the hanging piece can be ensured to be the same as those of the target covering part, so as to improve the accuracy of the test results of the second set of specimens obtained subsequently.

[0062] Moreover, a painting hanging piece test is also performed on the third set of specimens. The hanging piece position is the position where the target covering part is located. The hanging piece sequentially completes the pretreatment, electrophoresis, and painting process flows. Since the pretreatment, electrophoresis, and painting conditions at different positions are not the same, the hanging piece position is the same as the position where the target covering part is located, so that the pretreatment, electrophoresis, and topcoat performance indexes of the hanging piece can be ensured to be the same as those of the target covering part, so as to improve the accuracy of the test results of the third set of specimens obtained subsequently.

[0063] After performing the painting hanging piece test on the second set of specimens and the third set of specimens, step S104 is executed.

[0064] In step S104, the second set of specimens and the third set of specimens after the painting hanging piece test can be respectively subjected to painting appearance detection to obtain the test results of the second set of specimens and the test results of the third set of specimens. The test results of the second set of specimens and the test results of the third set of specimens are used as the target test results.

[0065] In one embodiment, when inspecting the appearance of the coating on the second set of samples after the coating pad test, at least one of the following values ​​can be measured for each sample in the second set: the electrophoretic coating film roughness Ra, RPc, Rz, Rmax, Rt, R3z, and Wsa1-5. For example, the electrophoretic coating film roughness Ra and RPc values ​​can be measured, or only the electrophoretic coating film roughness Ra value can be measured. The following example specifically demonstrates the measurement of only the electrophoretic coating film roughness Ra value.

[0066] Specifically, when inspecting the appearance of the coating on the second set of samples after the coating pad test, the Ra value of the electrophoretic paint film of each sample in the second set of samples can be measured to obtain the Ra value of the electrophoretic paint film of each sample in the second set of samples, and the Ra value of the electrophoretic paint film of each sample in the second set of samples can be used as the target Ra value. Correspondingly, the RPc value of the electrophoretic paint film of each sample in the second set of samples can also be used as the target RPc value.

[0067] Accordingly, when inspecting the appearance of the coating on the third set of samples after the coating pad test, the topcoat DOI value of each sample in the third set of samples after the coating pad test can be detected to obtain the topcoat DOI value of each sample in the third set of samples, and the topcoat DOI value of each sample in the third set of samples can be used as the target DOI value.

[0068] After obtaining the target detection results, proceed to step S105.

[0069] In step S105, if the test results of the second set of samples include the target Ra value of the electrophoretic coating roughness of the second set of samples, then a first regression relationship between the surface roughness characteristic parameter and the Ra value is established using the target Ra value, the target surface roughness characteristic parameter, and the first surface roughness characteristic parameter; if the test results of the third set of samples include the target DOI value of the topcoat sharpness of the third set of samples, then a second regression relationship between the surface roughness characteristic parameter and the DOI value is established using the target DOI value, the target surface roughness characteristic parameter, and the first surface roughness characteristic parameter; then, the coupling relationship is obtained based on the first regression relationship and the second regression relationship.

[0070] In another embodiment, if the test results of the second set of samples include the target RPc value of the electrophoretic coating roughness of the second set of samples, then a first regression relationship between the surface roughness feature parameter and the RPc value is established using the target RPc value, the target surface roughness feature parameter, and the first surface roughness feature parameter; if the test results of the third set of samples include the target DOI value of the topcoat sharpness of the third set of samples, then a second regression relationship between the surface roughness feature parameter and the DOI value is established using the target DOI value, the target surface roughness feature parameter, and the first surface roughness feature parameter; then, the coupling relationship is obtained based on the first regression relationship and the second regression relationship.

[0071] In one embodiment, the first regression relationship and the second regression relationship can be regarded as a coupling relationship.

[0072] Specifically, when establishing the first regression relationship, a first multivariate linear relationship between the surface roughness feature parameter and the Ra value can be established using the target Ra value, the target surface roughness feature parameter, and the first surface roughness feature parameter. This first multivariate linear relationship serves as the first regression relationship. Similarly, when establishing the second regression relationship, a second multivariate linear relationship between the surface roughness feature parameter and the DOI value can be established using the target DOI value, the target surface roughness feature parameter, and the first surface roughness feature parameter. This second multivariate linear relationship serves as the second regression relationship.

[0073] Thus, the above method can be used to obtain the coupling relationship between the surface morphology of automotive exterior body panels and the coating appearance. The coating appearance quality can be predicted directly through the surface morphology characteristic parameters of the body panels, and defective parts can be avoided and adjusted, which can more effectively control and improve the overall vehicle coating appearance quality.

[0074] The above-described one or more technical solutions in the embodiments of this application have at least the following technical effects:

[0075] Based on the above technical solution, a first set of samples, a second set of samples, and a third set of samples are obtained. The first set of samples undergoes strain measurement mesh printing processing, transforming its shape into the shape of the target cover part. The target deformation and target bulging height are then obtained. The target bulging height is used to conduct bulging tests on the second and third sets of samples to obtain target surface roughness characteristic parameters. When the mounting plate position is the location of the target cover part, a coating mounting plate test is performed on the second and third sets of samples. After the coating mounting plate test, the second and third sets of samples undergo coating appearance inspection to obtain the target inspection results. Thus, by performing regression analysis on the target surface roughness characteristic parameters obtained from the three sets of samples, the target inspection results, and the first surface roughness characteristic parameters of the first set of samples, the coupling relationship between the surface morphology of the automotive exterior cover part and the coating appearance is obtained. This coupling relationship allows for improved control accuracy of coating quality, avoidance and adjustment of defective parts, and ultimately, improved coating efficiency.

[0076] The above-described one or more technical solutions in the embodiments of this application have at least the following technical effects:

[0077] Based on the above technical solution, a first set of samples, a second set of samples, and a third set of samples are obtained. The first set of samples undergoes strain measurement mesh printing processing, transforming its shape into the shape of the target cover part. The target deformation and target bulging height are then obtained. The target bulging height is used to conduct bulging tests on the second and third sets of samples to obtain target surface roughness characteristic parameters. When the mounting plate position is the location of the target cover part, a coating mounting plate test is performed on the second and third sets of samples. After the coating mounting plate test, the second and third sets of samples undergo coating appearance inspection to obtain the target inspection results. Thus, by performing regression analysis on the target surface roughness characteristic parameters obtained from the three sets of samples, the target inspection results, and the first surface roughness characteristic parameters of the first set of samples, the coupling relationship between the surface morphology of the automotive exterior cover part and the coating appearance is obtained. This coupling relationship allows for improved control accuracy of coating quality, avoidance and adjustment of defective parts, and ultimately, improved coating efficiency.

[0078] In response to the above embodiments providing a method for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior panel, this application also provides a corresponding apparatus for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior panel. Please refer to... Figure 2 The device includes:

[0079] The target parameter acquisition unit 201 is used to perform strain measurement grid printing on the first set of samples using the shape of the target cover. When the shape of the first set of samples becomes the shape of the target cover, the target deformation amount of the first set of samples and the target bulging height corresponding to the target deformation amount are acquired. The first set of samples includes multiple samples.

[0080] The surface roughness feature parameter acquisition unit 202 is used to perform bulging tests on the second set of samples and the third set of samples using the target bulging height to acquire the target surface roughness feature parameters. The target surface roughness feature parameters include the second surface roughness feature parameters corresponding to the second set of samples and the third surface roughness feature parameters of the third set of samples. The second set of samples and the third set of samples are the same and each contains multiple samples with different surface morphologies.

[0081] The coating strip processing unit 203 is used to perform coating strip tests on the second set of samples and the third set of samples. During the coating strip test, the strip position is the location of the target cover. The second set of samples completes pretreatment and electrophoresis treatment in sequence during the coating strip test, and the third set of samples completes pretreatment, electrophoresis treatment and painting treatment in sequence during the coating strip test.

[0082] The coating appearance inspection unit 204 is used to perform coating appearance inspection on the second set of samples and the third set of samples after the coating stick test is completed, and to obtain the target inspection result, wherein the target inspection result includes the inspection result of the second set of samples and the inspection result of the third set of samples.

[0083] The coupling relationship acquisition unit 205 is used to perform regression analysis processing using the target surface roughness feature parameters, the target detection results and the first surface roughness feature parameters of the first set of samples to obtain the coupling relationship between the surface morphology and coating appearance of the automotive exterior covering.

[0084] In one optional embodiment, the coupling relationship acquisition unit 205 is used to: if the test results of the second set of samples include the target Ra value of the electrophoretic coating roughness of the second set of samples, then establish a first regression relationship between the surface roughness feature parameter and the Ra value using the target Ra value, the target surface roughness feature parameter, and the first surface roughness feature parameter; if the test results of the third set of samples include the target DOI value of the topcoat sharpness of the third set of samples, then establish a second regression relationship between the surface roughness feature parameter and the DOI value using the target DOI value, the target surface roughness feature parameter, and the first surface roughness feature parameter; and acquire the coupling relationship based on the first regression relationship and the second regression relationship.

[0085] In one optional embodiment, the coupling relationship acquisition unit 205 is used to establish a first multivariate linear relationship between the surface roughness feature parameter and the Ra value using the target Ra value, the target surface roughness feature parameter and the first surface roughness feature parameter, wherein the first multivariate linear relationship is the first regression relationship.

[0086] In one optional embodiment, the coupling relationship acquisition unit 205 is used to establish a second multivariate linear relationship between the surface roughness feature parameter and the DOI value using the target DOI value, the target surface roughness feature parameter and the first surface roughness feature parameter, wherein the second multivariate linear relationship serves as the second regression relationship.

[0087] In one optional embodiment, the surface roughness characteristic parameter acquisition unit 202 is used to perform a bulging test on the second set of samples using the target bulging height to obtain the second surface roughness characteristic parameter, wherein the second surface roughness characteristic parameter includes at least three of Ra, RPc, Rz, Rmax, Rt, R3z and Wsa1-5; and to perform a bulging test on the third set of samples using the target bulging height to obtain the third surface roughness characteristic parameter, wherein the third surface roughness characteristic parameter includes at least three of Ra, RPc, Rz, Rmax, Rt, R3z and Wsa1-5, and the target surface roughness characteristic parameter includes the second surface roughness characteristic parameter and the third surface roughness characteristic parameter.

[0088] In one optional embodiment, the target parameter acquisition unit 201 is used to perform strain measurement grid printing on the first sample in the first set of samples, and to acquire the deformation amount of the first sample as the target deformation amount when the shape of the first sample becomes the shape of the target cover; to perform strain measurement grid printing on the second sample in the first set of samples, and to conduct bulging tests at different bulging heights, and to obtain the bulging height of the second sample as the target bulging height, wherein the second sample is all the remaining samples in the first set of samples other than the first sample.

[0089] In one optional embodiment, the Ra value of each sample in the second set of samples and the third set of samples is between 0.5 μm and 1.5 μm, the RPc value is between 50 / cm and 150 / cm, and the Wsa1-5 value is between 0.1 μm and 0.5 μm; the Ra difference between any two samples in the second set of samples and the third set of samples is greater than 0.4 μm, the RPc difference is greater than 5 / cm, and the Wsa1-5 difference is greater than 0.02 μm.

[0090] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0091] Figure 3 This is a block diagram illustrating an electronic device 800 for obtaining the coupling relationship between the surface morphology and paint appearance of an automotive exterior panel, according to an exemplary embodiment. For example, the electronic device 800 may be a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.

[0092] Reference Figure 3 The electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input / display (I / O) interface 812, a sensor component 814, and a communication component 816.

[0093] Processing component 802 typically controls the overall operation of electronic device 800, such as operations associated with display, telephone calls, data communication, camera operation, and recording operations. Processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the methods described above. Furthermore, processing component 802 may include one or more modules to facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.

[0094] Memory 804 is configured to store various types of data to support the operation of device 800. Examples of this data include instructions for any application or method operating on electronic device 800, contact data, phonebook data, messages, pictures, videos, etc. Memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0095] Power supply component 806 provides power to various components of electronic device 800. Power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 800.

[0096] Multimedia component 808 includes a screen that provides a display interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 808 includes a front-facing camera and / or a rear-facing camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0097] Audio component 810 is configured to display and / or input audio signals. For example, audio component 810 includes a microphone (MIC) configured to receive external audio signals when electronic device 800 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 804 or transmitted via communication component 816. In some embodiments, audio component 810 also includes a speaker for displaying audio signals.

[0098] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0099] Sensor assembly 814 includes one or more sensors for providing state assessments of various aspects of electronic device 800. For example, sensor assembly 814 may detect the on / off state of device 800, the relative positioning of components such as the display and keypad of electronic device 800, changes in position of electronic device 800 or a component of electronic device 800, the presence or absence of user contact with electronic device 800, orientation or acceleration / deceleration of electronic device 800, and temperature changes of electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 814 may also include an accelerometer, gyroscope, magnetometer, pressure sensor, or temperature sensor.

[0100] Communication component 816 is configured to facilitate wired or wireless communication between electronic device 800 and other devices. Electronic device 800 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 816 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 816 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0101] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0102] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, which can be executed by a processor 820 of an electronic device 800 to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0103] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0104] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0105] 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. A method for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior body panel, characterized in that, The method includes: Using the shape of the target cover, the first set of specimens is subjected to strain measurement grid printing. When the shape of the first set of specimens becomes the shape of the target cover, the target deformation amount of the first set of specimens and the target bulging height corresponding to the target deformation amount are obtained. The first set of specimens includes multiple specimens. Using the target bulging height, bulging tests were conducted on the second set of samples and the third set of samples to obtain target surface roughness characteristic parameters. The target surface roughness characteristic parameters include the second surface roughness characteristic parameters corresponding to the second set of samples and the third surface roughness characteristic parameters of the third set of samples. The second set of samples and the third set of samples are the same and each contains multiple samples with different surface morphologies. The second set of samples and the third set of samples were subjected to a coating padding test. During the coating padding test, the padding position was the location of the target cover. The second set of samples underwent pretreatment and electrophoresis treatment in sequence during the coating padding process. The third set of samples underwent pretreatment, electrophoresis treatment and painting treatment in sequence during the coating padding process. After the coating plating test is completed, the second set of samples and the third set of samples are subjected to coating appearance inspection to obtain target inspection results, wherein the target inspection results include the inspection results of the second set of samples and the inspection results of the third set of samples; By using the target surface roughness characteristic parameters, the target detection results, and the first surface roughness characteristic parameters of the first set of samples, regression analysis is performed to obtain the coupling relationship between the surface morphology and coating appearance of the automotive exterior body panel.

2. The method as described in claim 1, characterized in that, The regression analysis, which utilizes the target surface roughness characteristic parameters, the target detection results, and the first surface roughness characteristic parameters of the first set of samples, yields the coupling relationship between the surface morphology and coating appearance of the automotive exterior body panel, including: If the test results of the second set of samples include the target Ra value of the electrophoretic coating roughness of the second set of samples, then the first regression relationship between the surface roughness feature parameter and the Ra value is established using the target Ra value, the target surface roughness feature parameter and the first surface roughness feature parameter. If the test results of the third set of samples include the target DOI value of the paint vividness of the third set of samples, then a second regression relationship between the surface roughness feature parameter and the DOI value is established using the target DOI value, the target surface roughness feature parameter and the first surface roughness feature parameter. The coupling relationship is obtained based on the first regression relationship and the second regression relationship.

3. The method as described in claim 2, characterized in that, The step of establishing a first regression relationship between the surface roughness feature parameter and the Ra value using the target Ra value, the target surface roughness feature parameter, and the first surface roughness feature parameter includes: Using the target Ra value, the target surface roughness feature parameter, and the first surface roughness feature parameter, a first multivariate linear relationship between the surface roughness feature parameter and the Ra value is established, wherein the first multivariate linear relationship is the first regression relationship.

4. The method as described in claim 3, characterized in that, The step of establishing a second regression relationship between the surface roughness feature parameter and the DOI value using the target DOI value, the target surface roughness feature parameter, and the first surface roughness feature parameter includes: Using the target DOI value, the target surface roughness feature parameter, and the first surface roughness feature parameter, a second multivariate linear relationship between the surface roughness feature parameter and the DOI value is established, wherein the second multivariate linear relationship serves as the second regression relationship.

5. The method as described in claim 1, characterized in that, The step of conducting bulging tests on the second and third sets of samples using the target bulging height to obtain target surface roughness characteristic parameters includes: The second set of samples is subjected to a bulging test using the target bulging height to obtain the second surface roughness characteristic parameters, wherein the second surface roughness characteristic parameters include at least three of Ra, RPc, Rz, Rmax, Rt, R3z and Wsa1-5; The third set of samples is subjected to a bulging test using the target bulging height to obtain the third surface roughness characteristic parameter. The third surface roughness characteristic parameter includes at least three of Ra, RPc, Rz, Rmax, Rt, R3z and Wsa1-5. The target surface roughness characteristic parameter includes the second surface roughness characteristic parameter and the third surface roughness characteristic parameter.

6. The method as described in claim 5, characterized in that, The process of using the shape of the target cover to print a strain measurement grid on the first set of samples, and obtaining the target deformation amount and the target bulging height corresponding to the target deformation amount when the shape of the first set of samples becomes the shape of the target cover, includes: The first sample in the first set of samples is subjected to strain measurement grid printing. When the shape of the first sample becomes the shape of the target cover, the deformation of the first sample is obtained as the target deformation. The second specimen in the first set of specimens is subjected to strain measurement grid printing and bulging test at different bulging heights to obtain the bulging height of the second specimen as the target bulging height. The second specimen is all the remaining specimens in the first set of specimens except the first specimen.

7. The method as described in claim 2, characterized in that, The surface roughness characteristic parameters of each sample in the second set of samples and the third set of samples have Ra values ​​ranging from 0.5 μm to 1.5 μm, RPc values ​​ranging from 50 / cm to 150 / cm, and Wsa1-5 values ​​ranging from 0.1 μm to 0.5 μm; the Ra difference between any two samples in the second set of samples and the third set of samples is greater than 0.4 μm, the RPc difference is greater than 5 / cm, and the Wsa1-5 difference is greater than 0.02 μm.

8. An apparatus for obtaining the coupling relationship between the surface morphology and coating appearance of an automotive exterior body panel, characterized in that, The device includes: The target parameter acquisition unit is used to print strain measurement grids on the first set of samples using the shape of the target cover. When the shape of the first set of samples becomes the shape of the target cover, the unit acquires the target deformation amount of the first set of samples and the target bulging height corresponding to the target deformation amount. The first set of samples includes multiple samples. The surface roughness feature parameter acquisition unit is used to perform bulging tests on the second set of samples and the third set of samples using the target bulging height to acquire the target surface roughness feature parameters. The target surface roughness feature parameters include the second surface roughness feature parameters corresponding to the second set of samples and the third surface roughness feature parameters of the third set of samples. The second set of samples and the third set of samples are the same and each contains multiple samples with different surface morphologies. The coating strip processing unit is used to perform coating strip tests on the second set of samples and the third set of samples. During the coating strip test, the coating strip position is the location of the target cover. The second set of samples completes pretreatment and electrophoresis treatment in sequence during the coating strip processing, and the third set of samples completes pretreatment, electrophoresis treatment and painting treatment in sequence during the coating strip processing. The coating appearance inspection unit is used to perform coating appearance inspection on the second set of samples and the third set of samples after the coating stick test is completed, and to obtain the target inspection result, wherein the target inspection result includes the inspection result of the second set of samples and the inspection result of the third set of samples. The coupling relationship acquisition unit is used to perform regression analysis processing using the target surface roughness feature parameters, the target detection results and the first surface roughness feature parameters of the first set of samples to obtain the coupling relationship between the surface morphology and coating appearance of the automotive exterior body panel.

9. An electronic device, characterized in that, It includes a memory and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by one or more processors, the one or more programs containing operation instructions for performing the methods described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps corresponding to the method as described in any one of claims 1 to 7.

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