Method, device, processor and electronic device for preparing a vehicle part

Abstract

The application discloses a method and device for preparing a vehicle part, a processor and an electronic device. The method comprises the following steps: determining a plurality of test samples of a part of a vehicle, wherein the test samples are coated with a coating, and different test samples correspond to different thicknesses of the coating; performing friction tests on the plurality of test samples respectively by using a connecting sample to obtain a plurality of friction test results, wherein the friction test results are used to represent the friction coefficient between the test sample and the connecting sample; determining influence information of the coating with different thicknesses on the plurality of friction test results, wherein the influence information is used to represent the degree of influence of the coating with different thicknesses on the plurality of friction test results; and controlling a preparation device of the part to prepare the part based on the influence information and the plurality of test samples. The application solves the technical problem of low preparation reliability of the vehicle part.

Description

Technical Field

[0001] This application relates to the field of vehicles, and more specifically, to a method, apparatus, processor, and electronic device for manufacturing vehicle parts. Background Technology

[0002] Currently, in bolted connections in vehicles, the coefficient of friction between the connector and the contact surface is one of the key factors determining tightening accuracy and preload consistency. For parts coated with paint, anti-corrosion layers, or other non-conductive coatings, the thickness of these coatings alters the microstructure, elastic modulus, and shear strength of the contact surface. This affects the bolted connection between the bolt and the contact surface, leading to technical problems such as low reliability in the manufacture of vehicle parts.

[0003] There is currently no effective solution to the technical problem of low reliability in the manufacturing of the aforementioned vehicle parts. Summary of the Invention

[0004] This application provides a method, apparatus, processor, and electronic device for manufacturing vehicle parts, to at least solve the technical problem of low reliability in the manufacturing of vehicle parts.

[0005] According to one aspect of the embodiments of this application, a method for manufacturing a vehicle part is provided. The method includes: determining a plurality of test samples for the vehicle part, wherein the test samples are coated with a coating, and different test samples correspond to coatings of different thicknesses; performing friction tests on the plurality of test samples using a connecting sample to obtain a plurality of friction test results, wherein the friction test results are used to represent the coefficient of friction between the test sample and the connecting sample; determining the influence information of coatings of different thicknesses on the plurality of friction test results, wherein the influence information is used to represent the degree to which the coatings of different thicknesses affect the plurality of friction test results; and controlling a part manufacturing apparatus to manufacture the part based on the influence information and the plurality of test samples.

[0006] Optionally, multiple friction tests can be performed on multiple test samples using the connecting sample to obtain multiple friction test results, including: using the connecting sample to perform friction tests on test samples mounted in a test fixture to obtain friction test results.

[0007] Optionally, a friction test is performed on a test sample mounted in a test fixture using a connecting sample to obtain friction test results. This includes: in response to connecting the connecting sample to the test sample mounted in the test fixture, performing a friction test on the test sample mounted in the test fixture to obtain friction test data, wherein the friction test data is used to represent the friction state between the test sample mounted in the test fixture and the connecting sample during the friction test; and performing friction analysis on the friction test data to obtain friction test results.

[0008] Optionally, the influence information of coatings of different thicknesses on multiple friction test results is determined, including: fitting coatings of different thicknesses and multiple friction test results to obtain a fitting model, wherein the fitting model is used to represent the fitting relationship between coatings of different thicknesses and multiple friction test results; inputting the thickness tolerances corresponding to different thicknesses into the fitting model for analysis to obtain the change information of the friction coefficient, wherein the change information is used to represent the range of change of the friction coefficient within the thickness tolerance, and the span of change of the friction coefficient within the thickness tolerance; and determining the influence information based on the change information.

[0009] Optionally, based on the change information, the influence information is determined, including: comparing the change information with other change information to obtain comparison results, wherein other change information is used to represent the range of change of the friction coefficient affected by other conditions, and the span of change of the friction coefficient affected by other conditions, other conditions being conditions other than different thicknesses among the conditions affecting the friction coefficient, and the comparison results are used to represent the data relationship between the change information and other change information; using the comparison results, coatings of different thicknesses are evaluated to obtain influence information.

[0010] Optionally, multiple test samples for vehicle parts are determined, including: phosphating multiple test samples to obtain multiple phosphated test samples; and coating multiple phosphated test samples to obtain multiple test samples coated with coatings of different thicknesses.

[0011] Optionally, based on the influence information and multiple test samples, the part preparation apparatus is controlled to prepare the part, including: adjusting the thickness tolerance corresponding to different thicknesses in response to the influence information being greater than or equal to the influence degree threshold, wherein the variation range of the friction coefficient within the adjusted thickness tolerance is smaller than the variation range of the friction coefficient within the unadjusted thickness tolerance, and the variation span of the friction coefficient within the adjusted thickness tolerance is smaller than the variation span of the friction coefficient within the unadjusted thickness tolerance; selecting at least one test sample from multiple test samples that meets the adjusted thickness tolerance as the target sample; and controlling the preparation apparatus to prepare the part according to the target sample.

[0012] According to one aspect of the embodiments of this application, a vehicle part manufacturing apparatus is provided. The apparatus may include: a first determining unit for determining multiple test samples for vehicle parts, wherein the test samples are coated with a coating, and different test samples correspond to coatings of different thicknesses; a testing unit for performing friction tests on the multiple test samples using a connecting sample to obtain multiple friction test results, wherein the friction test results are used to represent the coefficient of friction between the test sample and the connecting sample; a second determining unit for determining the influence information of coatings of different thicknesses on the multiple friction test results, wherein the influence information is used to represent the degree to which the coatings of different thicknesses affect the multiple friction test results; and a manufacturing unit for controlling the part manufacturing apparatus to manufacture the part based on the influence information and the multiple test samples.

[0013] According to another aspect of the embodiments of this application, a processor is also provided. The processor is used to run a program, wherein the program is executed by the processor to perform the methods described in the embodiments of this application.

[0014] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of this application when it runs.

[0015] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided. This computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of the embodiments of this application.

[0016] According to another aspect of the embodiments of this application, a computer program product is also provided, the computer program product including a computer program, wherein the computer program implements the method in the embodiments of this application when executed by a processor.

[0017] According to another aspect of the embodiments of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the method in the embodiments of this application.

[0018] According to another aspect of the embodiments of this application, a computer program is also provided, which, when executed by a processor, implements the methods described in the embodiments of this application.

[0019] In this embodiment, multiple test samples for vehicle parts are determined; friction tests are performed on the multiple test samples using a connecting sample to obtain multiple friction test results; the influence of coatings of different thicknesses on the multiple friction test results is determined; and based on the influence information and the multiple test samples, the part preparation apparatus is controlled to prepare the part. Because in this embodiment, when preparing vehicle parts, multiple test samples are determined, and friction tests are performed on the multiple test samples using a connecting sample to obtain multiple friction test results, i.e., multiple friction coefficients can be obtained, and then the influence of coatings of different thicknesses on the multiple friction test results is determined, and combined with the determined influence information and the multiple test samples, the part preparation apparatus can be controlled to prepare the part. This achieves the goal of quantifying the influence of coating thickness on the friction coefficient of vehicle parts, thereby solving the technical problem of low reliability in vehicle part preparation and ultimately achieving the technical effect of improving the reliability of vehicle part preparation. Attached Figure Description

[0020] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0021] Figure 1 This is a schematic diagram illustrating an application scenario of a method for manufacturing a vehicle part according to an embodiment of this application;

[0022] Figure 2 This is a flowchart of a method for manufacturing a vehicle part according to an embodiment of this application;

[0023] Figure 3 This is a flowchart of an evaluation and testing method for the influence of coating thickness on the coefficient of friction according to an embodiment of this application;

[0024] Figure 4 This is a schematic diagram of a main frame for a multi-axis tightening test according to an embodiment of this application;

[0025] Figure 5 This is a schematic diagram of the side of a sample clamping device according to an embodiment of this application;

[0026] Figure 6 This is a schematic diagram of the side of another sample clamping according to an embodiment of this application;

[0027] Figure 7 This is a flowchart illustrating the fitting relationship curve between the coating thickness and the average value of the flange surface friction coefficient according to an embodiment of this application;

[0028] Figure 8This is a schematic diagram of a vehicle part manufacturing apparatus according to an embodiment of this application;

[0029] Figure 9 This is a schematic diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0030] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present application.

[0031] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0032] According to an embodiment of this application, an embodiment of a method for manufacturing vehicle parts is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0033] As an optional implementation, the above-described method for manufacturing vehicle parts can be applied, but is not limited to, to applications such as... Figure 1 The application scenarios shown. Figure 1 This is a schematic diagram illustrating an application scenario of a method for manufacturing a vehicle part according to an embodiment of this application, such as... Figure 1As shown, in the application scenario, terminal device 10 can communicate with server 13 via network 11, but is not limited to this. Server 13 can perform operations on the database, such as write or read data operations. Terminal device 10 may include, but is not limited to, a human-computer interaction screen, a processor, and a memory. The human-computer interaction screen can be used to display virtual machines on mobile terminal 10, but is not limited to this. Vehicle 12 can be used to respond to the aforementioned human-computer interaction operations, execute corresponding operations, or generate corresponding instructions and send the generated instructions to server 13.

[0034] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be executed in a different order than that presented here. The method for manufacturing vehicle parts in this application may include: step S102, determining multiple test samples for vehicle parts; step S104, using connected samples, performing friction tests on the multiple test samples respectively to obtain multiple friction test results; step S106, determining the influence information of coatings of different thicknesses on the multiple friction test results; and step S108, based on the influence information and the multiple test samples, controlling the part manufacturing apparatus to manufacture the part.

[0035] It should be noted that all information (including but not limited to impact information) and data involved in this application are information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of such data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation portals are provided for users to choose to authorize or refuse.

[0036] According to an embodiment of this application, a method for manufacturing vehicle parts is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0037] Figure 2 This is a flowchart of a method for manufacturing a vehicle part according to an embodiment of this application, such as... Figure 2 As shown, the method may include the following steps.

[0038] Step S201: Identify multiple test samples for parts of the vehicle.

[0039] In the technical solution provided in step S201 of this application, the test sample is coated with a coating, and different test samples correspond to coatings of different thicknesses. Optionally, the test sample is the test sample for testing the coefficient of friction. For example, the test sample can also be called a test specimen, which may include, but is not limited to, cold-rolled steel sheets and aluminum alloy die castings.

[0040] In this embodiment, the coating may include at least one of the following: a paint layer, an anti-corrosion layer, and a non-conductive coating.

[0041] In this embodiment, the coatings of different thicknesses can be multiple sets of thicknesses. For example, the coatings of multiple thicknesses may include: a coating with a thickness of 55 μm, a coating with a thickness of 65 μm, a coating with a thickness of 75 μm, a coating with a thickness of 85 μm, and a coating with a thickness of 95 μm. The values ​​here are only illustrative examples and are not specifically limited.

[0042] In this embodiment, multiple test samples of vehicle parts are identified. Optionally, this embodiment performs pretreatment operations on the multiple test samples to obtain multiple test samples coated with coatings of different thicknesses. The pretreatment operations may include phosphating and coating operations.

[0043] Step S202: Using the connected sample, friction tests are performed on multiple test samples to obtain multiple friction test results.

[0044] In the technical solution provided by step S202 of this application, the friction test results can be used to represent the friction coefficient between the test sample and the connected sample. For example, the friction coefficient can be denoted as μ. b .

[0045] In this embodiment, the aforementioned connection sample can be a connecting bolt.

[0046] In this embodiment, after determining multiple test samples for vehicle parts, friction tests are performed on the multiple test samples using connecting samples to obtain multiple friction test results. Optionally, based on the determination of multiple test samples, this embodiment selects connecting samples from a connecting sample library, and then uses the selected connecting samples to perform friction tests on the multiple test samples to obtain multiple friction test results, thereby achieving the purpose of determining the friction coefficient between the test samples and the connecting samples.

[0047] Optionally, a connection sample matching the test sample can be selected from a connection sample library. Alternatively, a connection sample matching the test sample can be transported and retrieved from another plant. Next, multiple test samples are grouped according to coating thickness, resulting in multiple groups of test samples. Test samples within the same group have the same coating thickness, while test samples in different groups have different coating thicknesses. Then, using the connection sample matching the test sample, friction tests are performed on each of the multiple groups of test samples, yielding multiple sets of friction test results. These multiple sets of friction test results can then be used as multiple friction tests.

[0048] Step S203: Determine the impact of coatings of different thicknesses on the results of multiple friction tests.

[0049] In the technical solution provided in step S203 of this application, the aforementioned influence information can be used to indicate the degree to which the coating's different thicknesses affect multiple friction test results. Optionally, the aforementioned influence information can be the contribution rate of the coating thickness to the change in the coefficient of friction. For example, the aforementioned contribution rate can also be called the contribution degree or contribution extent; this is only an example and not a specific limitation.

[0050] In this embodiment, after conducting friction tests on multiple test samples using connected samples and obtaining multiple friction test results, the influence of coatings of different thicknesses on the multiple friction test results is determined. Optionally, after obtaining multiple friction test results, this embodiment determines the thickness tolerance corresponding to different thicknesses. Based on the determined thickness tolerance, the influence of coatings of different thicknesses on the multiple friction test results can be determined, thereby achieving the purpose of determining the degree to which the coating affects the multiple friction test results due to different thicknesses.

[0051] Optionally, information on the variation of the friction coefficient within the aforementioned thickness tolerance can be determined. This variation information can represent the range and span of the friction coefficient variation within the thickness tolerance. By combining this variation information with multiple friction test results, the extent to which the coating thickness affects the results of multiple friction tests can be determined.

[0052] Step S204: Based on the influence information and multiple test samples, the part preparation device is controlled to prepare the part.

[0053] In the technical solution provided by step S204 of this application, after determining the influence information of coatings of different thicknesses on multiple friction test results, the part preparation device is controlled to prepare the part based on the influence information and multiple test samples.

[0054] Optionally, this embodiment, based on the determined influence information, determines the degree corresponding to the influence information, and compares the degree with an influence degree threshold to obtain a comparison result. This comparison result can be used to represent the relationship between the degree and the influence degree threshold. Based on the comparison result and multiple test samples, the part preparation apparatus is controlled to prepare parts, thereby achieving the goal of preparing vehicle parts.

[0055] Optionally, based on the comparison results above, the thickness tolerances corresponding to different thicknesses are adjusted. Then, from multiple test samples, at least one test sample that meets the adjusted thickness tolerance is selected as the target sample. Afterwards, the aforementioned preparation apparatus is controlled to prepare the part according to the target sample.

[0056] In steps S201 to S204 of this application, multiple test samples for vehicle parts are determined; friction tests are performed on the multiple test samples using the connecting sample to obtain multiple friction test results; the influence information of coatings of different thicknesses on the multiple friction test results is determined; and the part preparation apparatus is controlled to prepare the part based on the influence information and the multiple test samples. Since this application embodiment, when preparing vehicle parts, after determining multiple test samples, friction tests are performed on the multiple test samples using the connecting sample to obtain multiple friction test results, i.e., multiple friction coefficients can be obtained, and then the influence information of coatings of different thicknesses on the multiple friction test results is determined, and the part preparation apparatus can be controlled to prepare the part based on the determined influence information and the multiple test samples, the purpose of quantifying the influence of coating thickness on the friction coefficient of vehicle parts is achieved, thereby solving the technical problem of low reliability in the preparation of vehicle parts, and thus realizing the technical effect of improving the reliability of vehicle part preparation.

[0057] The method described in this embodiment will be further described below.

[0058] As an optional embodiment, step S202 involves using the connecting sample to perform friction tests on multiple test samples to obtain multiple friction test results, including: using the connecting sample to perform friction tests on the test samples mounted in the test fixture to obtain friction test results.

[0059] In this embodiment, after determining multiple test samples for vehicle parts, friction tests are performed on the test samples mounted in the test fixture using the connected samples to obtain friction test results.

[0060] Optionally, in this embodiment, based on the determination of multiple test samples, a connecting sample is selected from the connecting sample library, and the test sample is installed in the test fixture. Then, the selected connecting sample is used to perform friction tests on the multiple installed test samples, thereby obtaining multiple friction test results. This achieves the purpose of determining the friction coefficient between the test sample and the connecting sample, thus realizing the technical effect of improving the effectiveness of the friction coefficient.

[0061] Optionally, a connection sample matching the test sample can be selected from a connection sample library. Alternatively, a connection sample matching the test sample can be transported and retrieved from another plant. Next, multiple test samples are grouped according to coating thickness to obtain multiple sets of test samples, and each set is installed in a test fixture. Then, using the connection sample matching the test sample, friction tests are performed on each set of test samples to obtain multiple sets of friction test results.

[0062] For example, connecting bolts matching the cold-rolled steel sheet are selected from a bolt library. Alternatively, connecting bolts matching the cold-rolled steel sheet can be transported and retrieved from another plant. Next, multiple cold-rolled steel sheets are grouped according to coating thickness, resulting in multiple sets of cold-rolled steel sheets. Each set is then mounted in a test fixture. Subsequently, friction tests are performed on each set of cold-rolled steel sheets using the matching connecting bolts, yielding the coefficient of friction μ between each set of cold-rolled steel sheets and the connecting bolts. b .

[0063] The following section further describes the steps of using a connecting sample to perform a friction test on a test sample mounted in a test fixture, and obtaining the friction test results.

[0064] As an optional embodiment, a friction test is performed on a test sample mounted in a test fixture using a connecting sample to obtain friction test results. This includes: in response to connecting the connecting sample to the test sample mounted in the test fixture, performing a friction test on the test sample mounted in the test fixture to obtain friction test data, wherein the friction test data is used to represent the friction state between the test sample mounted in the test fixture and the connecting sample during the friction test process; and performing friction analysis on the friction test data to obtain friction test results.

[0065] In this embodiment, the aforementioned friction test data can be used to represent the friction state between the test sample and the connecting sample mounted in the test fixture during the friction test. Optionally, the aforementioned friction test data can be tightening curve data, which is a complete curve data recording the tightening process.

[0066] In this embodiment, after determining multiple test samples for vehicle parts, in response to connecting the connecting sample to the test sample mounted in the test fixture, a friction test is performed on the test sample mounted in the test fixture to obtain friction test data.

[0067] Optionally, in this embodiment, after selecting a connection sample that matches the test sample from the connection sample library, or after transporting and calling a connection sample that matches the test sample from another factory, the test sample is installed in the test fixture. Then, during the process of tightening the installed test sample using the selected connection sample, a friction test is performed on the installed test sample to obtain friction test data.

[0068] For example, cold-rolled steel sheets are installed in test fixtures, and then friction tests are performed on the installed cold-rolled steel sheets while tightening them with selected connecting bolts to obtain tightening curve data.

[0069] In this embodiment, in response to connecting the connecting sample to the test sample mounted in the test fixture, a friction test is performed on the test sample mounted in the test fixture to obtain friction test data. Then, friction analysis is performed on the friction test data to obtain the friction test result.

[0070] Optionally, after obtaining the tightening curve data, this embodiment can automatically analyze the tightening curve data using curve analysis software to obtain the friction coefficient μ of the tested flange surface. b This allows for the determination of the friction coefficient between the cold-rolled steel sheet and the connecting bolts, thereby achieving the technical effect of improving the friction coefficient.

[0071] For example, according to classical tightening theory, the friction coefficient is calculated for each test using the collected tightening curve data. The thread friction torque T is measured using a torque sensor and an axial force sensor, respectively. th Flange surface friction torque T b and axial force F f According to the formula μ b =T b / (0.5 d b F f ) and μ th =(T th / F f -P / 2π) / 0.577d th The flange friction coefficient μ can be calculated for each test. b and thread friction coefficient μ th , where d b d is the equivalent friction diameter of the flange face.th This represents the equivalent friction diameter of the thread. A set of μ values ​​is obtained for each thickness grade (hi). b and μ th The data were statistically processed, and the mean (μ) of each group of data was calculated. avg ), standard deviation (σ), and process capability index (such as C) pk ).

[0072] The steps for determining the influence of coatings of different thicknesses on multiple friction test results in this embodiment will be further described below.

[0073] As an optional embodiment, step S203, determining the influence information of coatings of different thicknesses on multiple friction test results, includes: fitting coatings of different thicknesses and multiple friction test results to obtain a fitting model, wherein the fitting model is used to represent the fitting relationship between coatings of different thicknesses and multiple friction test results; inputting the thickness tolerances corresponding to different thicknesses into the fitting model for analysis to obtain the change information of the friction coefficient, wherein the change information is used to represent the range of change of the friction coefficient within the thickness tolerance, and the span of change of the friction coefficient within the thickness tolerance; and determining the influence information based on the change information.

[0074] In this embodiment, the above-described fitting model can be used to represent the fitting relationship between coatings of different thicknesses and multiple friction test results. Optionally, the above-described fitting model can be a quadratic polynomial model. For example, a quadratic polynomial model can use μ b The formula is: =-1E-05h2+0.0005h+0.1625 (where h is the thickness of the coating).

[0075] In this embodiment, the aforementioned variation information can be used to represent the range of friction coefficient variation within the thickness tolerance, as well as the span of variation of the friction coefficient within the thickness tolerance. For example, if the thickness tolerance is 75±20μm, the variation range obtained analytically through the fitting model can be 0.098-0.153, and the span of variation obtained analytically through the fitting model is Δμ b =0.055, this value is for illustrative purposes only and is not intended to be specific.

[0076] In this embodiment, after using connected samples to perform friction tests on multiple test samples and obtaining multiple friction test results, the coatings of different thicknesses and the multiple friction test results are fitted to obtain a fitting model. Then, the thickness tolerances corresponding to different thicknesses are input into the fitting model for analysis to obtain the information on the change of friction coefficient.

[0077] Optionally, based on multiple friction test results, this embodiment performs polynomial fitting on coatings of different thicknesses and multiple friction test results to obtain a quadratic polynomial model. By inputting the thickness tolerances corresponding to different thicknesses into the quadratic polynomial model for analysis, μ can be obtained. b The range of variation within the thickness tolerance, and μ b Variation range Δμ within the thickness tolerance b .

[0078] In this embodiment, after inputting the thickness tolerances corresponding to different thicknesses into the fitting model for analysis and obtaining the change information of the friction coefficient, the influence information is determined based on the change information, thereby achieving the purpose of determining the influence information and realizing the technical effect of improving the accuracy of the influence information.

[0079] Optionally, based on the obtained change information, this embodiment can determine the extent to which the coating thickness affects the results of multiple friction tests by combining the aforementioned change information and multiple friction test results.

[0080] The steps for determining the impact information based on the change information described in this embodiment will be further described below.

[0081] As an optional embodiment, determining the influence information based on the change information includes: comparing the change information with other change information to obtain a comparison result, wherein the other change information is used to represent the range of change of the friction coefficient affected by other conditions, and the span of change of the friction coefficient affected by other conditions, wherein the other conditions are conditions other than different thicknesses among the conditions affecting the friction coefficient, and the comparison result is used to represent the data relationship between the change information and other change information; using the comparison result, coatings of different thicknesses are evaluated to obtain the influence information.

[0082] In this embodiment, the aforementioned other variation information can be used to represent the range of friction coefficient variation affected by other conditions, and the span of friction coefficient variation affected by other conditions. Optionally, the aforementioned other variation information can be information about other factors.

[0083] In this embodiment, the aforementioned "other conditions" refer to factors other than different thicknesses that affect the coefficient of friction. Optionally, these "other conditions" can be other factors. For example, these other factors may include, but are not limited to, bolt lubricant batches and part surface roughness.

[0084] In this embodiment, the comparison results can be used to represent the data relationship between the changed information and other changed information. Optionally, the comparison results can be used to indicate that the range of change corresponding to the changed information is greater than the range of change corresponding to other changed information, and the span of change corresponding to the changed information is greater than the span of change corresponding to other changed information; or, the comparison results can also be used to indicate that the range of change corresponding to the changed information is less than or equal to the range of change corresponding to other changed information, and the span of change corresponding to the changed information is less than or equal to the span of change corresponding to other changed information.

[0085] In this embodiment, after inputting the thickness tolerances corresponding to different thicknesses into the fitting model for analysis and obtaining the change information of the friction coefficient, the change information is compared with other change information to obtain the comparison results. Using the comparison results, the coatings of different thicknesses are evaluated to obtain the influence information. This achieves the goal of determining the influence information and thus realizes the technical effect of improving the accuracy of the influence information.

[0086] Optionally, this embodiment, based on the obtained change information, compares the change range corresponding to the aforementioned change information with the change range corresponding to other change information, and compares the change span corresponding to the aforementioned change information with the change span corresponding to other change information, to obtain comparison results. Then, using the comparison results, coatings of different thicknesses are scored to determine the degree to which the coating's thickness affects multiple friction test results.

[0087] The steps for determining multiple test samples of vehicle parts described above in this embodiment will be further described below.

[0088] As an optional embodiment, step S201, determining multiple test samples for vehicle parts, includes: phosphating the multiple test samples to obtain multiple phosphated test samples; and coating the multiple phosphated test samples to obtain multiple test samples coated with coatings of different thicknesses.

[0089] In this embodiment, after phosphating multiple test samples to obtain multiple phosphated test samples, the multiple phosphated test samples are coated to obtain multiple test samples coated with coatings of different thicknesses.

[0090] Optionally, in this embodiment, a 1.2mm thick cold-rolled steel sheet is phosphated, and then coated with a coating by controlling the electrophoresis voltage and time, the atomization pressure of the water-based paint, the spray gun angle, the spray distance, the spray gun moving speed, and the number of sprays. This allows for the preparation of test samples for testing the coefficient of friction, thereby achieving the goal of determining multiple test samples for vehicle parts and ensuring the usability of the test samples.

[0091] The steps of the control part preparation apparatus for this embodiment, based on influence information and multiple test samples, will be further described below.

[0092] As an optional embodiment, step S204, based on the influence information and multiple test samples, controls the part preparation apparatus to prepare the part, including: adjusting the thickness tolerance corresponding to different thicknesses in response to the influence information being greater than or equal to the influence degree threshold, wherein the variation range of the friction coefficient within the adjusted thickness tolerance is smaller than the variation range of the friction coefficient within the thickness tolerance before adjustment, and the variation span of the friction coefficient within the adjusted thickness tolerance is smaller than the variation span of the friction coefficient within the thickness tolerance before adjustment; selecting at least one test sample from the multiple test samples that meets the adjusted thickness tolerance as the target sample; and controlling the preparation apparatus to prepare the part according to the target sample.

[0093] In this embodiment, the range of variation of the friction coefficient within the adjusted thickness tolerance is smaller than the range of variation of the friction coefficient within the unadjusted thickness tolerance, and the span of variation of the friction coefficient within the adjusted thickness tolerance is smaller than the span of variation of the friction coefficient within the unadjusted thickness tolerance. For example, the adjusted thickness tolerance may be, but is not limited to, 75±10μm, and the unadjusted thickness tolerance may be, but is not limited to, 75±20μm. These values ​​are merely illustrative examples and are not specifically limited.

[0094] In this embodiment, after adjusting the thickness tolerance corresponding to different thicknesses in response to the influence information being greater than or equal to the influence degree threshold, at least one test sample that meets the adjusted thickness tolerance is selected from multiple test samples as the target sample, and the preparation device is controlled to prepare the part according to the target sample.

[0095] Optionally, this embodiment determines the degree corresponding to the aforementioned influence information, compares the degree with an influence degree threshold, and obtains a comparison result. If the comparison result indicates that the degree corresponding to the influence information is greater than or equal to the influence degree threshold, then the thickness tolerance corresponding to different thicknesses is tightened. Next, from multiple cold-rolled steel sheets, at least one cold-rolled steel sheet that meets the tightened thickness tolerance is selected as the target cold-rolled steel sheet, and the manufacturing device is controlled to manufacture vehicle parts according to the target cold-rolled steel sheet. This achieves the goal of combining influence information and multiple test samples to control the manufacturing device in producing parts, thereby realizing the technical effect of improving the usability of the parts.

[0096] For example, if the tightened thickness tolerance is 75±10μm, then at least one cold-rolled steel sheet that meets the 75±10μm requirement is selected from multiple cold-rolled steel sheets as the target cold-rolled steel sheet, and the manufacturing apparatus is controlled to manufacture vehicle parts according to the at least one cold-rolled steel sheet that meets the 75±10μm requirement.

[0097] In this embodiment, multiple test samples for vehicle parts are determined; friction tests are performed on the multiple test samples using a connecting sample to obtain multiple friction test results; the influence of coatings of different thicknesses on the multiple friction test results is determined; and based on the influence information and the multiple test samples, the part preparation apparatus is controlled to prepare the part. Because in this embodiment, when preparing vehicle parts, multiple test samples are determined, and friction tests are performed on the multiple test samples using a connecting sample to obtain multiple friction test results, i.e., multiple friction coefficients can be obtained, and then the influence of coatings of different thicknesses on the multiple friction test results is determined, and combined with the determined influence information and the multiple test samples, the part preparation apparatus can be controlled to prepare the part. This achieves the goal of quantifying the influence of coating thickness on the friction coefficient of vehicle parts, thereby solving the technical problem of low reliability in vehicle part preparation and ultimately achieving the technical effect of improving the reliability of vehicle part preparation.

[0098] The technical solutions of the embodiments of this application will be illustrated below with reference to preferred embodiments.

[0099] Currently, in bolted connections in vehicles, the coefficient of friction between the connector and the contact surface is one of the key factors determining tightening accuracy and preload consistency. For parts coated with paint, anti-corrosion layers, or other non-conductive coatings, the thickness of these coatings alters the microstructure, elastic modulus, and shear strength of the contact surface. This affects the bolted connection between the bolt and the contact surface, leading to technical problems such as low reliability in the manufacture of vehicle parts.

[0100] To address the aforementioned technical problems, this application proposes a method for manufacturing vehicle parts. When manufacturing vehicle parts, based on the determination of multiple test samples, friction tests are performed on these samples using a connecting sample, yielding multiple friction test results, i.e., multiple friction coefficients. Then, the influence of coatings of different thicknesses on these multiple friction test results is determined. Combining this determined influence information with the multiple test samples, the manufacturing apparatus can be controlled to manufacture the parts. This achieves the goal of quantifying the influence of coating thickness on the friction coefficient of vehicle parts, thereby solving the technical problem of low reliability in vehicle part manufacturing and ultimately improving the reliability of vehicle part manufacturing.

[0101] In this embodiment, by implementing an evaluation and testing method for the influence of coating thickness on the coefficient of friction, decision support can be provided for the test samples based on an evaluation report related to coating thickness. For example, Figure 3 This is a flowchart illustrating an evaluation and testing method for the influence of coating thickness on the coefficient of friction according to an embodiment of this application. Figure 3 As shown, the method may include the following steps.

[0102] Step S301: Prepare the test sample.

[0103] In the technical solution provided in step S301 of this application, a 1.2mm thick cold-rolled steel plate is used to simulate the part after phosphating. Test samples for testing the coefficient of friction are prepared by controlling the electrophoresis voltage and time, the atomization pressure of the water-based paint, the spray gun angle, the spray distance, the spray gun moving speed, and the number of sprays. Furthermore, an ultrasonic film thickness gauge is used to test the coating thickness of each test sample. The coating thickness is divided into five groups: 55μm, 65μm, 75μm, 85μm, and 95μm, with 10 samples in each group, for a total of 50 samples. For example, the coefficient of friction between the above coating thickness and the flange surface can be shown in Table 1 below.

[0104] In this embodiment, the target part material (e.g., cold-rolled commercial grade steel plate (SPCC), aluminum alloy die casting) and the target coating system (e.g., electrophoretic paint, topcoat, powder coating) are selected. A set of basic samples is prepared, the size and shape of which need to simulate the typical characteristics of the critical connection area of ​​the actual part (e.g., flat, with bosses or grooves, etc.). By controlling the spraying process parameters, coating thickness gradient samples covering the lower limit, nominal value, upper limit, and out-of-tolerance range are prepared in the same batch, including at least 5 different thickness grades (h1 to h5). The average thickness and thickness uniformity of the critical contact area of ​​each sample are measured and recorded using a precision thickness gauge, and the samples are numbered and archived.

[0105] After preparing the test sample, step S302 is performed to assemble and test the test sample on the multi-axis tightening test system.

[0106] In the technical solution provided in step S302 of this application, a friction coefficient testing machine is used to test the friction coefficient of 10 samples of each coating thickness grade. The connecting bolts are galvanized M8 flange bolts, and the 10 samples can be clamped at the sample clamping point. Using the torque control method, the bolts are tightened to the flange surface with a tightening force of 23±7 Nm, and the friction coefficient of the flange surface is collected simultaneously. For example, the friction coefficient μ corresponding to each sample is... b As shown in Table 1 below.

[0107] Table 1. Relationship between coating thickness and flange friction coefficient

[0108]

[0109] In this embodiment, a high-precision fastener friction coefficient testing machine is used to test the friction coefficient, wherein the friction coefficient may include: bolt flange surface friction coefficient μ. b Thread friction coefficient μ th and total friction coefficient μ tot Use bolts / nuts consistent with the actual assembly (including specified lubrication conditions). Mount the gradient thickness samples as "connected parts" in the test fixture, ensuring contact conditions are consistent with actual working conditions. For each thickness grade (hi) sample, perform at least 10 effective repeated tightening tests under the set tightening method (e.g., torque control method) to obtain significant data. The test environment (e.g., temperature and humidity) is under control, and test environment data is recorded. The test system automatically collects and stores complete curve data for each tightening process, which may include: final torque (T). f ), final axial force (F) f ) and total rotation angle (θ), etc.

[0110] After assembling and testing the test sample on the multi-axis tightening test system, step S303 is executed to calculate the tightening curve data.

[0111] In the technical solution provided in step S303 of this application, the tightening curve can be automatically analyzed using curve analysis software to obtain the friction coefficient μ of the flange surface for each test. b For example, the coefficient of friction μ of the flange face in each test. b The mean and variance can be expressed as follows: For the 55μm group of samples, μ b_avg=0.153, σ=0.005; for the 65μm group of samples, μ b_avg =0.144, σ=0.004; for the 75μm group of samples, μ b_avg =0.132, σ=0.006; for the 85μm group of samples, μ b_avg =0.115, σ=0.004; for the 95μm group of samples, μ b_avg =0.098, σ=0.005.

[0112] In this embodiment, based on classical tightening theory, the friction coefficient is calculated for each test using the collected tightening curve data. The thread friction torque T is measured using a torque sensor and an axial force sensor, respectively. th Flange surface friction torque T b and axial force F f According to the formula μ b =T b / (0.5 d b F f ) and μ th =(T th / F f -P / 2π) / 0.577d th The flange friction coefficient μ can be calculated for each test. b and thread friction coefficient μ th , where d b d is the equivalent friction diameter of the flange face. th This represents the equivalent friction diameter of the thread. A set of μ values ​​is obtained for each thickness grade (hi). b and μ th The data were statistically processed, and the mean (μ) of each group of data was calculated. avg ), standard deviation (σ), and process capability index (such as C) pk ).

[0113] For example, the main frame of the aforementioned multi-axis tightening test system can be as follows: Figure 4 As shown, Figure 4 This is a schematic diagram of a main frame for a multi-axis tightening test according to an embodiment of this application. The main frame can have the following structure: main frame 1, drive spindle 2, control panel 3, protective cover 4, axial force sensor 5, and torque sensor 6.

[0114] For example, the specimen clamping method used to clamp test samples can be as follows: Figure 5 As shown, Figure 5This is a schematic diagram of the side of a sample clamping device according to an embodiment of the present application, showing an axial force sensor 5, a test pad 7, a test bolt 8, an axial force sensor bracket 9, and a test pad pressure plate 10.

[0115] For example, the specimen clamping method used for clamping test samples can be as follows: Figure 6 As shown, Figure 6 This is a schematic diagram of another sample clamping side view according to an embodiment of this application, showing the test nut 11 and the fixing nut clamp 12.

[0116] Optionally, the tightening curve described above can be a curve showing the fitting relationship between the coating thickness and the average value of the flange surface friction coefficient. For example, Figure 7 This is a flowchart illustrating the fitting relationship curve between the coating thickness and the average value of the flange surface friction coefficient according to an embodiment of this application, such as... Figure 7 As shown, the coefficient of friction between the bolt and the test sample decreases as the paint film thickness of the test sample increases.

[0117] After processing the data from the tightening curve, step S304 is performed to establish a quantitative influence model and analyze the contribution of thickness to the variation of the friction coefficient.

[0118] In the technical solution provided in step S304 of this application, fitting different coating thicknesses and multiple friction coefficients can yield a quadratic polynomial model. For example, the quadratic polynomial model can be represented by μ. b =-1E-05h 2 The formula +0.0005h+0.1625 (where h is in μm) is used to express the thickness, with a correlation coefficient R=0.999. The current coating thickness tolerance is 75±20μm (i.e., 55-95μm). Substituting this into a quadratic polynomial model, we can obtain μ... b The variation range is 0.098-0.153, Δμ b =0.055. Contribution analysis shows that different thicknesses account for 65% of the total variation in the friction coefficient at this connection point, meaning the contribution is 65%. Therefore, the variation in coating thickness is the main factor affecting the friction coefficient.

[0119] In this embodiment, the coating thickness h is used as the abscissa, and the average value μ of the calculated flange surface friction coefficient is used as the ordinate. b_avg Plot a scatter plot with the vertical axis as the ordinate. Using regression analysis (e.g., multinomial regression, exponential, power function regression, etc.), fit a mathematical model that best describes the relationship between coating thickness and friction coefficient: μ b =f(h). This model is used to quantify the influence trend and sensitivity of thickness variation on the friction coefficient. Using the above mathematical model, the thickness tolerance zone h specified by the process can be calculated. min to hmax Within this range, the expected variation range of the friction coefficient Δμ b Δμ b By comparing the range of friction coefficient variation with that of other factors (e.g., bolt lubricant batch, part surface roughness) obtained through similar methods, the contribution of coating thickness to the variation of friction coefficient can be calculated.

[0120] For example, by analyzing the effects of paint film thickness, roughness, and lubrication on the coefficient of friction, it can be found that paint film thickness contributes 65% to the variation of the coefficient of friction, roughness contributes 25%, and lubrication contributes 15%.

[0121] After establishing a quantitative impact model and analyzing the contribution of thickness to the variation of the friction coefficient, step S305 is performed to provide decision support for the test sample according to the evaluation report related to coating thickness.

[0122] In the technical solution provided in step S305 of this application, the aforementioned evaluation report may indicate that the current coating thickness tolerance causes excessive variation in the coefficient of friction, and the following recommendation is made: adjust the nominal value of the electrophoretic + water-based paint thickness to 75 μm, and tighten the tolerance to 75 ± 10 μm. Based on this, a more accurate assembly torque value can be recalculated and determined.

[0123] In this embodiment, based on the evaluation report, after adjusting the coating thickness, the process capability index C can be calculated as follows: pk The tightening torque requirement for M8 bolts is T=23±7Nm, with an upper limit of USL=30Nm, a lower limit of LSL=16Nm, a center point of M=23Nm, and a tolerance of C=USL-LSL=14Nm. According to Table 2, the coating thickness is between 55-95μm, and the torque T... 50 =23.08 Nm, standard deviation σ=1.893, coating thickness between 65-85 μm, torque T 30 =23.23 Nm, standard deviation σ=1.205. Due to process accuracy C a =2(T m -M) / C,T m The torque is the average value for different sample numbers, and the process precision C is... p =(USL-LSL) / 6σ=C / 6σ, process capability index C pk =C p (|1-C) a Therefore, it can be calculated according to the above formula that when the coating thickness is between 55-95μm, C pk =1.22; When the coating thickness is between 65-85μm: Cpk =1.85. Therefore, it can be seen that the torque C at this connection point is reduced after narrowing the coating thickness. pk The value increased from 1.22 to 1.85.

[0124] Table 2 Torque Calculation Results

[0125]

[0126] In this embodiment, decision support is provided for the test samples based on the evaluation report related to coating thickness. For example, if the contribution of coating thickness is higher than or equal to the contribution threshold, it is recommended to tighten the coating thickness process tolerance. If the friction coefficient corresponding to a specific thickness range is more stable than the friction coefficient corresponding to other thickness ranges, it is recommended to adjust the nominal thickness value. Thus, to achieve the target preload accuracy, an optimized assembly torque range or tightening strategy (e.g., torque-angle monitoring strategy) can be recommended.

[0127] In this embodiment, when manufacturing vehicle parts, based on the determination of multiple test samples, friction tests are performed on the multiple test samples using a connecting sample, resulting in multiple friction test results, i.e., multiple friction coefficients. Then, the influence of coatings of different thicknesses on the multiple friction test results is determined. Combining the determined influence information and the multiple test samples, the manufacturing device for the parts can be controlled to manufacture the parts. This achieves the goal of quantifying the influence of coating thickness on the friction coefficient of vehicle parts, thereby solving the technical problem of low reliability in the manufacturing of vehicle parts, and thus achieving the technical effect of improving the reliability of vehicle part manufacturing.

[0128] According to an embodiment of this application, an apparatus for preparing vehicle parts is also provided. It should be noted that this apparatus for preparing vehicle parts can be used to perform a method for preparing a vehicle part according to one of the embodiments.

[0129] Figure 8 This is a schematic diagram of a vehicle part manufacturing apparatus according to an embodiment of this application. Figure 8 As shown, the vehicle part preparation apparatus 800 may include: a first determining unit 801, a testing unit 802, a second determining unit 803, and a preparation unit 804.

[0130] The first determining unit 801 is used to determine multiple test samples of vehicle parts, wherein the test samples are coated with a coating, and different test samples correspond to coatings of different thicknesses.

[0131] The test unit 802 is used to perform friction tests on multiple test samples using the connected sample, and obtain multiple friction test results, wherein the friction test results are used to represent the friction coefficient between the test sample and the connected sample.

[0132] The second determining unit 803 is used to determine the influence information of coatings of different thicknesses on multiple friction test results, wherein the influence information is used to indicate the degree to which the coatings affect multiple friction test results due to their different thicknesses.

[0133] The preparation unit 804 is used to control the preparation device of the part to prepare the part based on the influence information and multiple test samples.

[0134] Optionally, the test unit 802 may include a test module for performing a friction test on a test sample mounted in a test fixture using a connected sample, and obtaining the friction test result.

[0135] Optionally, the testing module may include: a testing submodule, used to perform friction testing on the test sample mounted in the testing fixture in response to connecting the connecting sample to the test sample mounted in the testing fixture, and obtain friction test data, wherein the friction test data is used to represent the friction state between the test sample mounted in the testing fixture and the connecting sample during the friction test process; and a parsing submodule, used to perform friction parsing on the friction test data to obtain friction test results.

[0136] Optionally, the second determining unit 803 may include: a fitting module for fitting coatings of different thicknesses and multiple friction test results to obtain a fitting model, wherein the fitting model represents the fitting relationship between coatings of different thicknesses and multiple friction test results; an analysis module for inputting the thickness tolerances corresponding to different thicknesses into the fitting model for analysis to obtain information on the variation of the friction coefficient, wherein the variation information represents the range of variation of the friction coefficient within the thickness tolerance and the span of variation of the friction coefficient within the thickness tolerance; and a determining module for determining the influence information based on the variation information.

[0137] Optionally, the determining module may include: a comparison submodule, used to compare the change information with other change information to obtain a comparison result, wherein other change information is used to represent the range of change of the friction coefficient affected by other conditions, and the span of change of the friction coefficient affected by other conditions, and other conditions are conditions other than different thicknesses among the conditions affecting the friction coefficient, and the comparison result is used to represent the data relationship between the change information and other change information; and an evaluation submodule, used to use the comparison result to evaluate coatings of different thicknesses to obtain influence information.

[0138] Optionally, the first determining unit 801 may include: a phosphating module for phosphating multiple test samples respectively to obtain multiple phosphated test samples; and a coating module for coating multiple phosphated test samples respectively to obtain multiple test samples coated with coatings of different thicknesses.

[0139] Optionally, the preparation unit 804 may include: an adjustment module, used to adjust the thickness tolerance corresponding to different thicknesses in response to the influence information being greater than or equal to the influence degree threshold, wherein the variation range of the friction coefficient within the adjusted thickness tolerance is smaller than the variation range of the friction coefficient within the thickness tolerance before adjustment, and the variation span of the friction coefficient within the adjusted thickness tolerance is smaller than the variation span of the friction coefficient within the thickness tolerance before adjustment; a screening module, used to screen at least one test sample from multiple test samples that meets the adjusted thickness tolerance as the target sample; and a preparation module, used to control the preparation device to prepare the part according to the target sample.

[0140] In this embodiment, a vehicle part manufacturing apparatus is provided. The apparatus may include: a first determining unit for determining multiple test samples of the vehicle part, wherein the test samples are coated with a coating, and different test samples correspond to coatings of different thicknesses; a testing unit for performing friction tests on the multiple test samples using connected samples to obtain multiple friction test results, wherein the friction test results represent the coefficient of friction between the test sample and the connected sample; a second determining unit for determining the influence information of coatings of different thicknesses on the multiple friction test results, wherein the influence information represents the degree to which the coating thickness affects the multiple friction test results; and a manufacturing unit for controlling the manufacturing apparatus to manufacture the part based on the influence information and the multiple test samples. This achieves the goal of quantifying the influence of the coating thickness on the coefficient of friction of the vehicle part, thereby solving the technical problem of low manufacturing reliability of vehicle parts and ultimately improving the manufacturing reliability of vehicle parts.

[0141] According to an embodiment of this application, a processor is also provided for running a program, wherein the program is executed by the processor to perform the methods described in the embodiment.

[0142] According to an embodiment of this application, an electronic device is also provided. Figure 9 This is a schematic diagram of an electronic device according to an embodiment of this application, such as... Figure 9 As shown, the electronic device 900 may include a memory 910 and a processor 920, wherein the memory 910 is used to store an executable program; and the processor 920 is used to run the program stored in the memory 910, wherein the program executes the methods in the various embodiments of this application when it runs.

[0143] In this application, "multiple" refers to two or more.

[0144] In this application, unless otherwise expressly defined, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0145] The terms “first,” “second,” “third,” “fourth,” etc., in this application (if present) are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0146] In this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, in this application, the character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0147] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided. This computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the method described in the embodiments.

[0148] Computer-readable storage media, also known as computer storage media, may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. These propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable storage media can transmit, propagate, or transfer programs for use by or in conjunction with an instruction execution system, apparatus, or device.

[0149] The program code contained in a computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, radio frequency, or any suitable combination thereof.

[0150] According to an embodiment of this application, a computer program product is also provided, which includes a computer program, wherein the computer program, when executed by a processor, implements the method in the embodiment.

[0151] According to an embodiment of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the method described in the embodiment.

[0152] According to an embodiment of this application, a computer program is also provided, which, when executed by a processor, implements the method described in the embodiment.

[0153] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0154] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0155] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0156] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0157] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0158] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0159] The above are merely preferred embodiments of this application. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for manufacturing a vehicle part, characterized in that, include: Multiple test samples for parts of the vehicle are identified, wherein the test samples are coated with a coating, and different test samples correspond to coatings of different thicknesses; Using the connecting sample, friction tests are performed on multiple test samples to obtain multiple friction test results, wherein the friction test results are used to represent the friction coefficient between the test sample and the connecting sample; The influence information of coatings of different thicknesses on multiple friction test results is determined, wherein the influence information is used to indicate the degree to which the coatings affect multiple friction test results due to their different thicknesses; Based on the influence information and multiple test samples, the part preparation apparatus is controlled to prepare the part.

2. The method according to claim 1, characterized in that, Using the connected samples, friction tests were performed on multiple test samples to obtain multiple friction test results, including: Using the connection sample, a friction test is performed on the test sample mounted in the test fixture to obtain the friction test results.

3. The method according to claim 2, characterized in that, Using the aforementioned connection sample, a friction test is performed on the test sample mounted in the test fixture to obtain the friction test results, including: In response to connecting the connecting sample to the test sample mounted in the test fixture, a friction test is performed on the test sample mounted in the test fixture to obtain friction test data, wherein the friction test data is used to represent the friction state between the test sample mounted in the test fixture and the connecting sample during the friction test process; Friction analysis is performed on the friction test data to obtain the friction test results.

4. The method according to claim 1, characterized in that, Determining the impact of coatings of different thicknesses on multiple friction test results includes: The different thicknesses of the coatings and the multiple friction test results are fitted to obtain a fitting model, wherein the fitting model is used to represent the fitting relationship between the different thicknesses of the coatings and the multiple friction test results; The thickness tolerances corresponding to the different thicknesses are input into the fitting model for analysis to obtain the change information of the friction coefficient. The change information is used to represent the range of change of the friction coefficient within the thickness tolerance and the span of change of the friction coefficient within the thickness tolerance. Based on the change information, the impact information is determined.

5. The method according to claim 4, characterized in that, Based on the change information, the impact information is determined, including: The change information is compared with other change information to obtain a comparison result. The other change information is used to represent the range of change of the friction coefficient affected by other conditions, and the span of change of the friction coefficient affected by the other conditions. The other conditions are the conditions that affect the friction coefficient other than the different thicknesses. The comparison result is used to represent the data relationship between the change information and the other change information. Using the comparison results, the coatings of different thicknesses were evaluated to obtain the influence information.

6. The method according to claim 1, characterized in that, Multiple test samples for parts of the vehicle were identified, including: Phosphating was performed on multiple test samples to obtain multiple phosphated test samples; Multiple phosphating test samples were coated to obtain multiple test samples coated with coatings of different thicknesses.

7. The method according to any one of claims 1 to 6, characterized in that, Based on the influence information and multiple test samples, the part fabrication apparatus is controlled to fabricate the part, including: In response to the influence information being greater than or equal to the influence degree threshold, the thickness tolerance corresponding to the different thicknesses is adjusted, wherein the range of change of the friction coefficient within the adjusted thickness tolerance is smaller than the range of change of the friction coefficient within the thickness tolerance before adjustment, and the span of change of the friction coefficient within the adjusted thickness tolerance is smaller than the span of change of the friction coefficient within the thickness tolerance before adjustment. From the plurality of test samples, at least one test sample that meets the adjusted thickness tolerance is selected as the target sample; The preparation apparatus is controlled to prepare the part according to the target sample.

8. An apparatus for preparing vehicle parts, characterized in that, include: A first determining unit is configured to determine multiple test samples for parts of the vehicle, wherein the test samples are coated with a coating, and different test samples correspond to coatings of different thicknesses. The testing unit is used to perform friction tests on multiple test samples using the connecting sample, and obtain multiple friction test results, wherein the friction test results are used to represent the coefficient of friction between the test sample and the connecting sample; The second determining unit is used to determine the influence information of the coatings of different thicknesses on the multiple friction test results, wherein the influence information is used to indicate the degree to which the coatings affect the multiple friction test results due to their different thicknesses; A preparation unit is used to control the preparation apparatus of the part to prepare the part based on the influence information and multiple test samples.

9. A processor, characterized in that, The processor is used to run a program, wherein the program is executed by the processor to perform the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program, when running, performs the method according to any one of claims 1 to 7.

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