Method for testing fatigue resistance of copper-clad copper alloy wire

Abstract

The invention is applicable to the technical field of copper-clad copper alloy wire performance test, and particularly relates to a copper-clad copper alloy wire fatigue resistance test method, which comprises the following steps: acquiring the specification of a to-be-tested copper-clad copper alloy wire; determining test conditions for carrying out a fatigue resistance test according to the specification; controlling a cut-off mechanism to cut off the to-be-tested copper-clad copper alloy wire into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment; carrying out a fatigue resistance test on the first copper-clad copper alloy wire segment according to the test condition, and obtaining a plurality of pieces of first fracture information at the fracture of the first copper-clad copper alloy wire segment; adjusting corresponding test conditions according to the first fracture information; and performing the fatigue resistance test on the second copper-clad copper alloy wire segment again according to the adjusted test conditions, and obtaining a plurality of pieces of second fracture information at the fracture of the second copper-clad copper alloy wire segment. Therefore, the problem that no adaptive fatigue resistance test condition exists when the copper-clad copper alloy wire has surface defects can be solved.

Description

Technical Field

[0001] This application belongs to the technical field of performance testing of copper-clad copper alloy wires, and particularly relates to a method for testing the fatigue resistance performance of copper-clad copper alloy wires. Background Art

[0002] The fatigue resistance performance test of copper-clad copper alloy wires is a test method for evaluating the ability of copper-clad copper alloy wires to resist fatigue failure under cyclic stress. By simulating the alternating load conditions in actual use, the performance changes and failure process of the material after multiple stress cycles are observed and recorded.

[0003] During the processing of copper-clad copper alloy wires, defects such as surface scratches, inclusions or oxide layers may be introduced. These defects will significantly exacerbate stress concentration, thereby reducing the fatigue resistance performance of the material. Moreover, the influence mechanisms of different defect types on the fatigue resistance performance vary greatly. However, the existing technology often adopts a single and simplified test condition when evaluating the fatigue resistance performance of copper-clad copper alloy wires. This single and simplified test condition cannot truly reflect the actual use situation under actual working conditions, resulting in a deviation between the test results and the actual use performance. Due to the lack of understanding of the defect influence mechanism and the disconnection between the test condition and the real working condition, there is a problem that there is no suitable fatigue resistance performance test condition for copper-clad copper alloy wires when there are surface defects. Summary of the Invention

[0004] The embodiment of this application provides a method for testing the fatigue resistance performance of copper-clad copper alloy wires, which can solve the problem that there is no suitable fatigue resistance performance test condition for copper-clad copper alloy wires when there are surface defects.

[0005] In a first aspect, the embodiment of this application provides a method for testing the fatigue resistance performance of copper-clad copper alloy wires, including:

[0006] Obtain the specifications of the copper-clad copper alloy wire to be tested; wherein, the specifications include dimensions and types;

[0007] Determine the test conditions for the fatigue resistance performance test according to the specifications;

[0008] Control the truncation mechanism to truncate the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment; wherein, the first copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type first appears in the copper-clad copper alloy wire to be tested and at least one copper-clad copper alloy wire segment without surface defects, and the second copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type does not first appear in the copper-clad copper alloy wire to be tested and at least one copper-clad copper alloy wire segment without surface defects;

[0009] Perform a fatigue resistance performance test on the first copper-clad copper alloy wire segment according to the test conditions, and obtain a plurality of first fracture information at the fracture of the first copper-clad copper alloy wire segment;

[0010] Adjust the corresponding test conditions according to each of the first fracture information;

[0011] Perform a fatigue resistance performance test on the second copper-clad copper alloy wire segment again according to the adjusted test conditions, and obtain a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment.

[0012] The above technical solution in the embodiment of the present application has at least the following technical effects:

[0013] The fatigue resistance performance test method for copper-clad copper alloy wire provided by the embodiment of the present application includes obtaining the specifications of the copper-clad copper alloy wire to be tested; determining the test conditions for the fatigue resistance performance test according to the specifications; controlling the cutting mechanism to cut the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment; performing a fatigue resistance performance test on the first copper-clad copper alloy wire segment according to the test conditions, and obtaining a plurality of first fracture information at the fracture of the first copper-clad copper alloy wire segment; adjusting the corresponding test conditions according to each first fracture information; performing a fatigue resistance performance test on the second copper-clad copper alloy wire segment again according to the adjusted test conditions, and obtaining a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment. Therefore, the fatigue resistance performance test method for copper-clad copper alloy wire provided by the embodiment of the present application can systematically study the influence of factors such as defect types and positions on the fatigue resistance performance of copper-clad copper alloy wire by specially intercepting wire segments with different defect conditions for testing. Adjusting the test conditions based on the test results of the first copper-clad copper alloy wire segment makes the test conditions more in line with the actual performance of the material and the defect influence law, which is beneficial to reducing test errors, improving the accuracy and reliability of test results, and effectively solving the problem that there are no suitable fatigue resistance performance test conditions when there are surface defects in copper-clad copper alloy wire.

[0014] In a possible implementation manner of the first aspect, the method further includes:

[0015] Obtain the predicted fracture information of the copper-clad copper wire segment with surface defects according to the test conditions and the initial Gaussian process model;

[0016] Compare each of the predicted fracture information with the corresponding first fracture information to obtain the third fracture information;

[0017] Obtain the Gaussian process model according to the third fracture information and the initial Gaussian process model.

[0018] In a possible implementation of the first aspect, adjusting each of the test conditions according to each of the first fracture information includes:

[0019] Obtaining a weight coefficient matrix according to each of the first fracture information; wherein, the weight coefficient matrix includes the weights of the copper-clad copper wire segments without surface defects and the weights of each defect type of the copper-clad copper wire segments with surface defects;

[0020] Obtaining a plurality of feedback adjacency matrices according to each of the first fracture information; wherein, the rows of the feedback adjacency matrix represent the test conditions, the columns represent the defect types, and the element values represent the crack propagation rate;

[0021] Obtaining a plurality of activation parameters according to each of the feedback adjacency matrices and the weight coefficient matrix; wherein, the activation parameters are used to reflect the importance of each condition in the test conditions when performing the fatigue resistance test on each copper-clad copper alloy wire segment;

[0022] Judging whether there is a parameter value greater than a preset threshold in each of the activation parameters;

[0023] If there is a parameter value greater than the preset threshold in the activation parameters, determining the condition in the test condition corresponding to the parameter value greater than the preset threshold as the recommended condition;

[0024] Searching for a plurality of optimal combinations within the preset parameter space of each of the recommended conditions;

[0025] Adjusting the test conditions of the corresponding copper-clad copper wire segments according to each of the optimal combinations.

[0026] In a possible implementation of the first aspect, obtaining the weight coefficient matrix according to each of the first fracture information includes:

[0027] Obtaining a first image of the copper-clad copper alloy wire to be measured;

[0028] Obtaining defect data according to the first image; wherein, the defect data includes the defect type, position and area;

[0029] Calculating the covariance matrix of each of the first fracture information and the defect data;

[0030] Calculating the variance contribution rate according to the covariance matrix and obtaining the weight coefficient matrix.

[0031] In a possible implementation of the first aspect, obtaining a plurality of activation parameters according to each of the feedback adjacency matrices and the weight coefficient matrix includes:

[0032] Multiply the feedback adjacency matrix by the weight coefficient matrix and sum by row to obtain a plurality of the activation parameters.

[0033] In a possible implementation manner of the first aspect, after determining whether there is a parameter value greater than a preset threshold among the activation parameters, the method further includes:

[0034] If there is no parameter value greater than the preset threshold among the activation parameters, determine the condition in the test condition corresponding to the maximum parameter value among the activation parameters as the recommended condition.

[0035] In a possible implementation manner of the first aspect, the searching for a plurality of optimal combinations within the preset parameter space of each of the recommended conditions includes:

[0036] Predict corresponding fourth fracture information sets according to each of the preset parameter spaces and the Gaussian process model;

[0037] Obtain the corresponding optimal combinations according to each of the fourth fracture information sets.

[0038] In a possible implementation manner of the first aspect, the determining the test conditions for the fatigue resistance performance test according to the specifications includes:

[0039] Search the database according to the specifications to determine the test conditions.

[0040] In a possible implementation manner of the first aspect, the controlling the cutting mechanism to cut the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment includes:

[0041] Control the cutting mechanism to cut the copper-clad copper alloy wire to be tested according to the defect position in the defect data to obtain the first copper-clad copper alloy wire segment and the second copper-clad copper alloy wire segment.

[0042] In a possible implementation manner of the first aspect, after performing the fatigue resistance performance test on the second copper-clad copper alloy wire segment again according to each of the adjusted test conditions and obtaining a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment, the method further includes:

[0043] Compare each of the second fracture information with the corresponding first fracture information to obtain a plurality of difference information; wherein, the difference information includes the relative position difference and time difference of the occurrence of cracks;

[0044] Update the database according to each of the difference information.

[0045] In a second aspect, an embodiment of the present application provides a copper-clad copper alloy wire fatigue resistance performance test device, including:

[0046] An acquisition module for acquiring the specifications of the copper-clad copper alloy wire to be tested; wherein the specifications include dimensions and types.

[0047] A test condition module for determining the test conditions for the fatigue resistance performance test according to the specifications.

[0048] A truncation module for controlling the truncation mechanism to truncate the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment; wherein the first copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type first appears and at least one copper-clad copper alloy wire segment without surface defects, and the second copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type does not first appear and at least one copper-clad copper alloy wire segment without surface defects.

[0049] A first fracture information module for performing a fatigue resistance performance test on the first copper-clad copper alloy wire segment according to the test conditions and obtaining a plurality of first fracture information at the fracture of the first copper-clad copper alloy wire segment.

[0050] An adjustment module for adjusting the corresponding test conditions according to each of the first fracture information.

[0051] A second fracture information module for performing a fatigue resistance performance test on the second copper-clad copper alloy wire segment again according to the adjusted test conditions and obtaining a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment.

[0052] In a third aspect, an embodiment of the present application provides a fatigue resistance performance test device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in any one of the above first aspects is implemented.

[0053] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the method described in any one of the above first aspects is implemented.

[0054] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a fatigue resistance performance test device, the fatigue resistance performance test device is enabled to execute the method described in any one of the above first aspects.

[0055] It can be understood that the beneficial effects of the above second aspect to fifth aspect can refer to the relevant descriptions in the above first aspect and will not be elaborated here. Description of the Drawings

[0056] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0057] Figure 1 is a schematic flow chart of a method for testing the fatigue resistance of a copper-clad copper alloy wire provided by an embodiment of the present application;

[0058] Figure 2 is a schematic implementation flow chart of steps S200, S300, S500, S510, S530, S540, S560, and S600 in the method for testing the fatigue resistance of a copper-clad copper alloy wire provided by an embodiment of the present application;

[0059] Figure 3 is a schematic structural diagram of a device for testing the fatigue resistance of a copper-clad copper alloy wire provided by an embodiment of the present application;

[0060] Figure 4 is a schematic structural diagram of a fatigue resistance test device provided by an embodiment of the present application. Detailed implementation manners

[0061] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are presented to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0062] It should be understood that when used in the specification of the present application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0063] It should also be understood that the term " / and" as used in the specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0064] As used in the specification and appended claims of the present application, the term "if" may be construed contextually as "when" or "once" or "in response to determining" or "in response to detecting". Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be construed contextually to mean "once determined" or "in response to determining" or "once [the described condition or event] is detected" or "in response to detecting [the described condition or event]".

[0065] In addition, in the description of the specification and appended claims of the present application, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0066] Reference to "one embodiment" or "some embodiments" or the like described in the specification of the present application means that a specific feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized. The terms "comprising", "including", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized.

[0067] In the related art, defects such as surface scratches, inclusions, or oxide layers may be introduced during the processing of copper-clad copper alloy wires. These defects will significantly exacerbate stress concentration, thereby reducing the fatigue resistance of the material. Moreover, the influence mechanisms of different defect types on the fatigue resistance are very different. However, a single simplified test condition is often adopted when evaluating the fatigue resistance of copper-clad copper alloy wires. Such a single simplified test condition cannot truly reflect the usage under actual working conditions, resulting in a deviation between the test results and the actual usage performance. Due to the insufficient understanding of the defect influence mechanism and the disconnection between the test conditions and the actual working conditions, there is a problem that there is no suitable fatigue resistance test condition for copper-clad copper alloy wires with surface defects in the existing fatigue resistance test methods for copper-clad copper alloy wires.

[0068] To solve the above problems, an embodiment of the present application provides a method for testing the fatigue resistance performance of copper-clad copper alloy wires. In this method, the specifications of the copper-clad copper alloy wires to be tested are obtained; the test conditions for the fatigue resistance performance test are determined according to the specifications; a cutting mechanism is controlled to cut the copper-clad copper alloy wires to be tested into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment; the fatigue resistance performance test is carried out on the first copper-clad copper alloy wire segment according to the test conditions, and a plurality of first fracture information at the fracture of the first copper-clad copper alloy wire segment is obtained; the corresponding test conditions are adjusted according to each first fracture information; the fatigue resistance performance test is carried out on the second copper-clad copper alloy wire segment again according to the adjusted test conditions, and a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment is obtained. Therefore, the method for testing the fatigue resistance performance of copper-clad copper alloy wires provided by the embodiment of the present application can systematically study the influence of factors such as defect types and positions on the fatigue resistance performance of copper-clad copper alloy wires by specifically intercepting wire segments with different defect conditions for testing. Based on the test results of the first copper-clad copper alloy wire segment, the test conditions are adjusted to make the test conditions more in line with the actual performance of the material and the law of defect influence, which is beneficial to reducing test errors, improving the accuracy and reliability of test results, and effectively solving the problem of no suitable fatigue resistance performance test conditions when there are surface defects in copper-clad copper alloy wires.

[0069] The method for testing the fatigue resistance performance of copper-clad copper alloy wires provided by the embodiment of the present application can be applied to fatigue resistance performance test equipment. At this time, the fatigue resistance performance test equipment is the execution subject of the method for testing the fatigue resistance performance of copper-clad copper alloy wires provided by the embodiment of the present application, and the specific type of the fatigue resistance performance test equipment is not limited in the embodiment of the present application.

[0070] For example, the fatigue resistance performance test equipment may include a control device and a cutting mechanism. The control device is communicatively connected to the cutting mechanism (which can be a wired communication connection or a wireless communication connection), and the control device is used to control the cutting mechanism. The cutting mechanism is used to cut the copper-clad copper alloy wires. For example, the cutting mechanism can be a laser cutter, an electromagnetic pulse cutter, etc., but is not limited thereto. For example, the control device can be a single-chip microcomputer, a microcontroller, a mobile phone, a tablet computer, a notebook computer, a desktop computer, a smart large screen, a smart TV, a handheld device with wireless communication function, a computing device, a computer, a laptop computer, a handheld communication device, a handheld computing device, etc., but is not limited thereto.

[0071] To better understand the method for testing the fatigue resistance performance of copper-clad copper alloy wires provided by the embodiment of the present application, the following provides an exemplary introduction to the specific implementation process of the method for testing the fatigue resistance performance of copper-clad copper alloy wires provided by the embodiment of the present application.

[0072] Figure 1The figure shows a schematic flow chart of a method for testing the fatigue resistance of a copper-clad copper alloy wire provided by an embodiment of the present application. The method for testing the fatigue resistance of a copper-clad copper alloy wire includes:

[0073] S100, obtaining the specifications of the copper-clad copper alloy wire to be tested. Among them, the specifications include dimensions and types.

[0074] Exemplarily, a laser scanning microscope or a micrometer can be used to measure the dimensions (including diameter and length) of the copper-clad copper alloy wire to be tested, obtain the number of the copper-clad copper alloy wire to be tested, and determine the type of the copper-clad copper alloy wire to be tested according to database matching.

[0075] S200, determining the test conditions for the fatigue resistance test according to the specifications.

[0076] It can be understood that the test conditions include stress level, loading frequency, temperature, and humidity.

[0077] Exemplarily, corresponding preset test conditions can be matched according to the specifications.

[0078] In a possible implementation manner, please refer to Figure 2 , S200, determining the test conditions for the fatigue resistance test according to the specifications, including:

[0079] S210, searching the database according to the specifications to determine the test conditions.

[0080] It can be understood that the database includes the specifications, corresponding test conditions, and test results of the copper-clad copper alloy wire. Among them, the test results include fracture time, fracture position, and crack propagation rate.

[0081] Exemplarily, the specifications can be converted into a logical expression to obtain an SQL statement, the database can be queried through the SQL statement to obtain a query result, the query result can be sorted according to the target optimization direction (such as minimizing the fatigue life, etc.), and the query result with the top ranking can be determined as the test conditions.

[0082] Through the above step S210, the dynamic test conditions adapt to the material characteristics, so that the fatigue resistance test is carried out in the elastic-plastic deformation junction area, and fatigue failure is efficiently triggered.

[0083] S300, controlling the truncation mechanism to truncate the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment. Among them, the first copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type first appears in the copper-clad copper alloy wire to be tested and at least one copper-clad copper alloy wire segment without surface defects, and the second copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type does not first appear in the copper-clad copper alloy wire to be tested and at least one copper-clad copper alloy wire segment without surface defects.

[0084] Exemplarily, an eddy current detector can be used to scan the entire line, mark the positions and types of surface defects (such as cracks, pits, etc.), control the cutting mechanism to cut the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy segment and a second copper-clad copper alloy segment, and the length of each copper-clad copper alloy segment obtained should be within a preset range (such as 18 cm - 20 cm).

[0085] In one possible implementation, refer to Figure 2 , S300, controlling the cutting mechanism to cut the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy segment and a second copper-clad copper alloy segment, includes:

[0086] S310, according to the defect position in the defect data, controlling the cutting mechanism to cut the copper-clad copper alloy wire to be tested to obtain a first copper-clad copper alloy segment and a second copper-clad copper alloy segment.

[0087] Exemplarily, according to the defect position in the defect data, the cutting mechanism can be controlled to completely include each surface defect within the copper-clad copper alloy segment and cut the copper-clad copper alloy wire to be tested to obtain uniform first and second copper-clad copper alloy segments.

[0088] Through the above step S310, accurate defect cutting and uniform segmentation of the segments are achieved, which not only improves the accuracy and efficiency of the fatigue test, but also helps to provide data support for the optimization of defect-sensitive materials.

[0089] S400, conduct a fatigue resistance test on the first copper-clad copper alloy segment according to the test conditions, and obtain a plurality of first fracture information at the fracture of the first copper-clad copper alloy segment.

[0090] It can be understood that the first fracture information includes fracture time, fracture position, and crack growth rate.

[0091] Exemplarily, the real-time load can be obtained through a load sensor, a load threshold is set (such as 80% of the maximum load), and when the real-time load is lower than the threshold, a timer is triggered to record the fracture time; alternatively, the acoustic emission energy (AE) can be obtained, an AE energy threshold is set (such as 10^4 aJ), and when three consecutive data points exceed the threshold, the fracture time is recorded.

[0092] Exemplarily, random speckles (particle size 5 - 10 μm) can be sprayed on the surface of the first copper-clad copper alloy segment, a high-speed camera takes images, the crack length is calculated, and the movement trajectory of the crack tip position with the number of cycles is calculated through the displacement field change of the speckle pattern on the surface of the first copper-clad copper alloy segment to determine the fracture position.

[0093] Exemplarily, the number of cycles can be obtained through a high-frequency pulse counter, and based on the Paris formula, the crack growth rate can be obtained through the crack length a and the number of cycles N.

[0094] S500, Adjust each corresponding test condition according to each first fracture information.

[0095] Exemplarily, the differential fracture information of the copper-clad copper alloy wire segments with surface defects and those without surface defects can be obtained based on each first fracture information, and each corresponding test condition can be adjusted according to the differential fracture information.

[0096] In a possible implementation, please refer to Figure 2 , S500, Adjust each corresponding test condition according to each first fracture information, including:

[0097] S510, Obtain a weight coefficient matrix according to each first fracture information. Among them, the weight coefficient matrix includes the weight of the copper-clad copper wire segments without surface defects and the weights of each defect type of the copper-clad copper wire segments with surface defects.

[0098] Exemplarily, the weights of each defect type of the copper-clad copper wire segments with surface defects can be obtained based on each first fracture information (such as where T is the fracture time), and the preset initial weight of the copper-clad copper wire segments without surface defects is obtained.

[0099] Optionally, please refer to Figure 2 , S510, Obtain a weight coefficient matrix according to each first fracture information, including:

[0100] S511, Obtain the first image of the copper-clad copper alloy wire to be tested.

[0101] Exemplarily, an industrial linear array camera and a ring-shaped LED light source can be used to obtain the first image of the copper-clad copper alloy wire to be tested.

[0102] S512, Obtain defect data according to the first image. Among them, the defect data includes the defect type, location, and area.

[0103] Exemplarily, classification can be performed based on texture features (gray-level co-occurrence matrix GLCM) and geometric features (aspect ratio, roundness) (for example, crack: aspect ratio > 5, roundness < 0.3; pit: aspect ratio < 2, roundness > 0.7, and there is a depression gray-level gradient), location: defect centroid coordinates (x, y), with the upper left corner of the first image as the origin, area: pixel counting method (A = Σ number of pixels × area of a single pixel).

[0104] S513, Calculate the covariance matrix of each first fracture information and the defect data.

[0105] Exemplarily, multiple feature vectors can be obtained by combining each first fracture information and the defect data, and the covariance matrix can be calculated after normalizing the multiple feature vectors. For example, the covariance matrix Wherein, n is the number of samples of the copper-clad copper alloy wire segments for which the first fracture information is obtained through the fatigue resistance performance test, X ki is the i-th feature in the k-th eigenvector, μ i is the mean value of the i-th feature, X kj is the j-th feature in the k-th eigenvector, μ j is the mean value of the j-th feature.

[0106] S514. Calculate the variance contribution rate according to the covariance matrix, and obtain the weight coefficient matrix.

[0107] Exemplarily, the covariance matrix can be subjected to eigenvalue decomposition to obtain eigenvalues and eigenvectors, calculate the variance contribution rate, and then obtain the weight coefficient matrix. For example, the variance contribution rate The element in the i-th row and j-th column of the weight coefficient matrix W is: Wherein, λ is the eigenvalue and V is the eigenvector.

[0108] Through the above steps S511 to S514, the first fracture information and the defect data are associated through the covariance matrix, the non-dominant features are removed by using the principal component analysis (PCA) method, the calculation complexity is reduced, and the weight matrix clarifies the influence weights of each defect type on the fatigue performance, guiding the optimization of subsequent test conditions.

[0109] S520. Obtain a plurality of feedback adjacency matrices according to each first fracture information. Among them, the rows of the feedback adjacency matrix represent the test conditions, the columns represent the defect types, and the element values represent the crack propagation rate.

[0110] Exemplarily, corresponding feedback adjacency matrices can be constructed according to each first fracture information. Rows: test conditions (such as maximum stress σ_max, minimum stress σ_min, loading frequency f, etc.); columns: defect types (such as cracks, pits, etc.), and element values: crack propagation rate v = ΔN / Δa, where Δa is the change in crack length and ΔN is the number of cycles.

[0111] S530. Obtain a plurality of activation parameters according to each feedback adjacency matrix and the weight coefficient matrix. Among them, the activation parameters are used to reflect the importance of each condition in the test conditions when performing the fatigue resistance performance test on each copper-clad copper alloy wire segment.

[0112] Exemplarily, a plurality of activation parameters can be obtained by fusing the weight and rate information according to each feedback adjacency matrix and the weight coefficient matrix.

[0113] Optionally, please refer to Figure 2 , S530. Obtain a plurality of activation parameters according to each feedback adjacency matrix and the weight coefficient matrix, including:

[0114] S531. Multiply the feedback adjacency matrix by the weight coefficient matrix and sum by row to obtain multiple activation parameters.

[0115] Exemplarily, the feedback adjacency matrix can be multiplied by the weight coefficient matrix and summed by row to obtain multiple activation parameters. For example, if the dimension of the feedback adjacency matrix A is m×p (m is the number of conditions, p is the number of defect types), and the weight coefficient matrix W is a p×m matrix (assigning independent weights to each condition), then the activation parameter of the i-th condition in the test conditions

[0116] Through the above step S531, the influence of test conditions on defect types (feedback adjacency matrix) is dynamically combined with the inherent importance of defect types (weight coefficient matrix) through matrix multiplication, reflecting the comprehensive influence of test conditions, quantifying the two-way influence between test conditions and defect types, and avoiding the local optimal solution of a single weight or rate.

[0117] S540. Determine whether there is a parameter value greater than the preset threshold among the activation parameters.

[0118] It can be understood that the preset threshold is a preset specified value that the parameter value in the activation parameter does not exceed. This preset specified value can be set by those of ordinary skill in the art according to actual needs and is not uniquely limited here.

[0119] Exemplarily, a reasonable preset threshold can be determined according to historical data and industry standards. For example, the preset threshold is 0.12.

[0120] Optionally, please refer to Figure 2 , after S540, determining whether there is a parameter value greater than the preset threshold among the activation parameters, the method further includes:

[0121] S5401. If there is no parameter value greater than the preset threshold among the activation parameters, then determine the condition in the test condition corresponding to the maximum parameter value in the activation parameters as the recommended condition.

[0122] It can be understood that if each parameter value in the activation parameters corresponding to each condition in a certain test condition is not greater than the preset threshold, then determine the condition in the test condition corresponding to the maximum parameter value as the recommended condition.

[0123] Through the above step S5401, the activation parameters are sorted so that the recommended condition is always the current optimal candidate, exploring the potential optimization direction close to the preset threshold.

[0124] S550. If there is a parameter value greater than the preset threshold among the activation parameters, then determine the condition in the test condition corresponding to the parameter value greater than the preset threshold in the activation parameters as the recommended condition.

[0125] Exemplarily, if there is a parameter value in the activation parameter that is greater than the preset threshold, the condition in the corresponding test condition is determined as the recommended condition.

[0126] S560. Search for multiple optimal combinations within the preset parameter space of each recommended condition.

[0127] Exemplarily, for the recommended condition (such as the maximum stress σ_max), grid search for the optimal combination within the preset parameter space (±10%).

[0128] Optionally, please refer to Figure 2 , S560. Search for multiple optimal combinations within the preset parameter space of each recommended condition, including:

[0129] S561. Predict the corresponding fourth fracture information set according to each preset parameter space and the Gaussian process model.

[0130] Exemplarily, an initial Gaussian process model can be trained using historical experimental data (including multiple groups of test condition - fracture information pairs), the hyperparameters are optimized by maximum likelihood estimation to obtain the Gaussian process model, multiple groups of parameters are obtained according to the preset parameter space of the recommended conditions for the fatigue resistance performance test of a certain copper - clad copper alloy wire segment, and the multiple groups of parameters are input into the Gaussian process model to obtain the corresponding fourth fracture information set.

[0131] S562. Obtain the corresponding optimal combination according to each fourth fracture information set.

[0132] Exemplarily, the corresponding optimal combination can be selected according to each fourth fracture information set and the objective function (such as minimizing the fatigue life, etc.).

[0133] Through the above steps S561 to S562, training the GP model based on historical test data, the fourth fracture information set can be predicted for parameter combinations that have not been directly tested, reducing the number of tests. Combining the fourth fracture information set with the objective function, the optimal parameter combinations that meet the engineering constraints can be screened out.

[0134] S570. Adjust the test conditions of the corresponding copper - clad copper wire segment according to each optimal combination.

[0135] Exemplarily, the test conditions of the corresponding copper - clad copper wire segment can be dynamically adjusted according to each optimal combination.

[0136] Through the above steps S510 to S570, a chain analysis of the weight - rate - activation parameter is carried out to achieve three - dimensional collaborative optimization of the defect type, test conditions, and material response. The dynamic threshold avoids overfitting, making the recommended conditions statistically significant. The search space is reduced by the activation parameter, accelerating the positioning of the optimal conditions and improving the matching degree between the recommended conditions and the actual failure mode.

[0137] S600. Re-conduct the fatigue resistance performance test on the second copper-clad copper alloy wire segment according to the adjusted test conditions, and obtain a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment.

[0138] It can be understood that the second fracture information includes fracture time, fracture position, and crack propagation rate.

[0139] Exemplarily, the fatigue resistance performance test can be re-conducted on the copper-clad copper alloy wire segment corresponding to the defect type in the second copper-clad copper alloy wire segment according to the adjusted test conditions, and a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment can be obtained.

[0140] In a possible implementation, please refer to Figure 2 , S600. After re-conducting the fatigue resistance performance test on the second copper-clad copper alloy wire segment according to the adjusted test conditions and obtaining a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment, the method further includes:

[0141] S601. Compare each second fracture information with the corresponding first fracture information to obtain a plurality of difference information. Among them, the difference information includes the relative position difference and time difference of the occurrence of cracks.

[0142] Exemplarily, the defect area difference between the copper-clad copper alloy wire segment with surface defects in the second copper-clad copper alloy wire segment and the copper-clad copper alloy wire segment corresponding to the defect type in the first copper-clad copper alloy wire segment can be calculated, the weights of the second fracture information and the corresponding first fracture information can be determined according to the defect area difference, and the second fracture information can be compared with the corresponding first fracture information according to the weights of the second fracture information and the corresponding first fracture information to obtain the difference information.

[0143] S602. Update the database according to each difference information.

[0144] Exemplarily, the first fracture information or the second fracture information can be selected according to the difference information, and the surface defect data, corresponding test conditions, and test results of the copper-clad copper alloy wire segment in the selected first fracture information or second fracture information can be added to the database according to the specifications of the copper-clad copper alloy wire.

[0145] Through the above steps S601 to S602, different fracture information of copper-clad copper alloy wire segments of the same defect type is compared, the defect data, test conditions, and test results are integrated into the database, providing a reusable knowledge base for subsequent test design optimization and process parameter adjustment, adaptively allocating the weights of fracture information based on the defect area difference, preferentially retaining high-weight data, and enhancing the decision-making value density of the database.

[0146] In a possible implementation, please refer to Figure 2, the method further includes:

[0147] S700, obtaining predicted fracture information of the copper-clad copper wire segments with surface defects according to the test conditions and the initial Gaussian process model.

[0148] Exemplarily, the test conditions can be input into the initial Gaussian process model, and the predicted fracture information (including fracture time, fracture position, and crack growth rate) can be output.

[0149] S800, comparing each predicted fracture information with the corresponding first fracture information to obtain the third fracture information.

[0150] Exemplarily, each predicted fracture information can be compared with the corresponding first fracture information to obtain difference data. If the difference data exceeds the preset difference range, it is marked as a significant difference. If there is a significant difference, the corresponding first fracture information is determined as the third fracture information; otherwise, the first fracture information and the corresponding predicted fracture information are weighted and averaged (weight = 0.7:0.3) to obtain the third fracture information.

[0151] S900, obtaining a Gaussian process model according to the third fracture information and the initial Gaussian process model.

[0152] It can be understood that the third fracture information includes fracture time, fracture position, and crack growth rate.

[0153] Exemplarily, the third fracture information can be used as training data, and the hyperparameters of the initial Gaussian process model can be optimized by Bayesian updating to obtain the Gaussian process model.

[0154] Through the above steps S700 to S900, a closed-loop process of prediction-comparison-update is realized, the model self-evolution is achieved, the material batch differences are adapted, and the prediction error is reduced.

[0155] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0156] Corresponding to the copper-clad copper alloy wire fatigue resistance test method described in the above embodiments, an embodiment of the present application also provides a copper-clad copper alloy wire fatigue resistance test device, and each module of the device can implement each step of the copper-clad copper alloy wire fatigue resistance test method. Figure 3 The structural block diagram of the copper-clad copper alloy wire fatigue resistance test device provided by the embodiment of the present application is shown. For the sake of convenience of description, only the parts related to the embodiment of the present application are shown.

[0157] Referring to Figure 3 , the device includes:

[0158] An acquisition module for acquiring the specifications of the copper-clad copper alloy wire to be tested; wherein, the specifications include dimensions and types.

[0159] A test condition module for determining the test conditions for the fatigue resistance performance test according to the specifications.

[0160] A truncation module for controlling the truncation mechanism to truncate the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment; wherein, the first copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type first appears in the copper-clad copper alloy wire to be tested and at least one copper-clad copper alloy wire segment without surface defects, and the second copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type does not first appear in the copper-clad copper alloy wire to be tested and at least one copper-clad copper alloy wire segment without surface defects.

[0161] A first fracture information module for performing a fatigue resistance performance test on the first copper-clad copper alloy wire segment according to the test conditions and obtaining multiple first fracture information at the fracture of the first copper-clad copper alloy wire segment.

[0162] An adjustment module for adjusting the corresponding test conditions according to each of the first fracture information.

[0163] A second fracture information module for performing a fatigue resistance performance test on the second copper-clad copper alloy wire segment again according to the adjusted test conditions and obtaining multiple second fracture information at the fracture of the second copper-clad copper alloy wire segment.

[0164] It should be noted that for the information interaction, execution process, etc. between the above modules, since it is based on the same concept as the method embodiment of the present application, for its specific functions and the technical effects brought, please refer to the method embodiment part for details, and will not be elaborated here.

[0165] Those skilled in the art can clearly understand that for the convenience and conciseness of description, only the above division of each functional unit and module is used for illustration. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above device can refer to the corresponding process in the foregoing method embodiment and will not be elaborated here.

[0166] The embodiment of the present application further provides a fatigue resistance performance test device. Figure 4 It is a schematic structural diagram of the fatigue resistance performance test device provided by an embodiment of the present application. As Figure 4 shown, the fatigue resistance performance test device 6 of this embodiment includes: at least one processor 60 ( Figure 4 only one is shown herein), at least one memory 61 ( Figure 4 only one is shown herein), and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the fatigue resistance performance test device 6 for copper-clad copper alloy wire segments realizes the steps in any of the above-mentioned embodiments of the fatigue resistance performance test methods for copper-clad copper alloy wires, or the fatigue resistance performance test device 6 for copper-clad copper alloy wire segments realizes the functions of each module / unit in the above-mentioned device embodiments.

[0167] Exemplarily, the computer program 62 can be divided into one or more modules / units. The one or more modules / units are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 62 in the fatigue resistance performance test device 6 for copper-clad copper alloy wire segments.

[0168] The fatigue resistance performance test device 6 for copper-clad copper alloy wire segments can include a control device and a truncating mechanism. The control device is communicatively connected to the truncating mechanism (which can be a wired communication connection or a wireless communication connection). The control device is used to control the truncating mechanism. The control device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server, etc. The truncating mechanism is used to truncate the copper-clad copper alloy wire, and the truncating mechanism can be a laser cutter, an electromagnetic pulse truncator, etc. The control device of this fatigue resistance performance test device can include, but is not limited to, the processor 60 and the memory 61. Those skilled in the art can understand that Figure 4 it is only an example of the fatigue resistance performance test device 6, and does not constitute a limitation on the fatigue resistance performance test device 6. It can include more or fewer components than shown in the figure, or combine some components, or different components. For example, it can also include input / output devices, network access devices, a bus, etc.

[0169] The processor 60 may be a Central Processing Unit (CPU), and the processor 60 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0170] In some embodiments, the memory 61 may be an internal storage unit of the copper-clad copper alloy wire segment fatigue resistance test device 6, such as the hard disk or memory of the fatigue resistance test device 6. In some other embodiments, the memory 61 may also be an external storage device of the copper-clad copper alloy wire segment fatigue resistance test device 6, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc. equipped on the copper-clad copper alloy wire segment fatigue resistance test device 6. Further, the memory 61 may also include both the internal storage unit of the copper-clad copper alloy wire segment fatigue resistance test device 6 and the external storage device. The memory 61 is used to store an operating system, application programs, a BootLoader, data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0171] An embodiment of the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0172] An embodiment of the present application provides a computer program product, and when the computer program product runs on the fatigue resistance test device, the fatigue resistance test device is enabled to implement the steps in any of the above method embodiments.

[0173] When the integrated unit is implemented in the form of 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, to implement all or part of the processes in the above-described embodiment methods of this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the fatigue resistance test equipment, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc.

[0174] In the above embodiments, the descriptions of each embodiment have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0175] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0176] In the embodiments provided in this application, it should be understood that the disclosed fatigue resistance test equipment and method can be implemented in other ways. For example, the above-described fatigue resistance test equipment embodiments are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of devices or units can be in an electrical, mechanical, or other form.

[0177] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0178] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A test method for the fatigue resistance of copper-clad copper alloy wire, characterized in that, Applied to a fatigue resistance performance test device, the fatigue resistance performance test device includes a truncation mechanism, and the method includes: Obtain the specifications of the copper-clad copper alloy wire to be tested; wherein, the specifications include dimensions and types. Determine the test conditions for the fatigue resistance performance test according to the specifications. Control the truncation mechanism to truncate the copper-clad copper alloy wire to be tested into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment; wherein, the first copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type first appears and at least one copper-clad copper alloy wire segment without surface defects, and the second copper-clad copper alloy wire segment includes the copper-clad copper alloy wire segments where each defect type does not first appear and at least one copper-clad copper alloy wire segment without surface defects. Conduct a fatigue resistance performance test on the first copper-clad copper alloy wire segment according to the test conditions, and obtain a plurality of first fracture information at the fracture of the first copper-clad copper alloy wire segment. Adjust the corresponding test conditions according to each of the first fracture information. Conduct a fatigue resistance performance test on the second copper-clad copper alloy wire segment again according to the adjusted test conditions, and obtain a plurality of second fracture information at the fracture of the second copper-clad copper alloy wire segment.

2. The fatigue resistance performance test method of the copper-clad copper alloy wire according to claim 1, wherein, The method further includes: Obtain the predicted fracture information of the copper-clad copper wire segment with surface defects according to the test conditions and the initial Gaussian process model. Compare each of the predicted fracture information with the corresponding first fracture information to obtain third fracture information. Obtain a Gaussian process model according to the third fracture information and the initial Gaussian process model.

3. The fatigue resistance performance test method of the copper-clad copper alloy wire according to claim 2, characterized in that, The adjusting the corresponding test conditions according to each of the first fracture information includes: Obtain a weight coefficient matrix according to each of the first fracture information; wherein, the weight coefficient matrix includes the weights of the copper-clad copper wire segments without surface defects and the weights of each defect type of the copper-clad copper wire segments with surface defects. Obtain a plurality of feedback adjacency matrices according to each of the first fracture information; wherein, the rows of the feedback adjacency matrix represent the test conditions, the columns represent the defect types, and the element values represent the crack propagation rate. Obtain a plurality of activation parameters according to each of the feedback adjacency matrices and the weight coefficient matrix; wherein, the activation parameters are used to reflect the importance of each condition in the test conditions when conducting a fatigue resistance performance test on each copper-clad copper alloy wire segment. Judge whether there is a parameter value greater than a preset threshold in each of the activation parameters. If there is a parameter value greater than the preset threshold in the activation parameters, determine the conditions in the test conditions corresponding to the parameter values greater than the preset threshold in the activation parameters as recommended conditions. Search for a plurality of optimal combinations within the preset parameter space of each of the recommended conditions. Adjust the test conditions of the corresponding copper-clad copper wire segment according to each of the optimal combinations.

4. The fatigue resistance performance test method of the copper-clad copper alloy wire according to claim 3, characterized in that, The obtaining a weight coefficient matrix according to each of the first fracture information includes: Obtain a first image of the copper-clad copper alloy wire to be tested. Obtain defect data according to the first image; wherein, the defect data includes defect types, positions, and areas. Calculate the covariance matrix for each of the first fracture information and the defect data; Calculate the variance contribution rate based on the covariance matrix and obtain the weight coefficient matrix.

5. The fatigue resistance performance test method of the copper-clad copper alloy wire according to claim 3, characterized in that, The obtaining of multiple activation parameters according to each of the feedback adjacency matrices and the weight coefficient matrix includes: Multiply the feedback adjacency matrix by the weight coefficient matrix and sum by rows to obtain multiple activation parameters.

6. The fatigue resistance performance test method of the copper-clad copper alloy wire according to claim 3, characterized in that, After determining whether there is a parameter value greater than a preset threshold among the activation parameters, the method further includes: If there is no parameter value greater than the preset threshold among the activation parameters, determine the condition in the test condition corresponding to the maximum parameter value among the activation parameters as the recommended condition.

7. The method for testing the fatigue resistance of the copper-clad copper alloy wire according to claim 3, characterized in that, The searching for multiple optimal combinations within the preset parameter space of each of the recommended conditions includes: Predict corresponding fourth fracture information sets according to each of the preset parameter spaces and the Gaussian process model; Obtain the corresponding optimal combinations according to each of the fourth fracture information sets.

8. The method for testing the fatigue resistance of the copper-clad copper alloy wire according to claim 1, wherein, The determining of the test conditions for the fatigue resistance test according to the specification includes: Search the database according to the specification to determine the test conditions.

9. The fatigue resistance performance test method of the copper-clad copper alloy wire according to claim 4, characterized in that, The controlling of the cutting mechanism to cut the copper-clad copper alloy wire to be measured into a first copper-clad copper alloy wire segment and a second copper-clad copper alloy wire segment includes: According to the defect position in the defect data, control the cutting mechanism to cut the copper-clad copper alloy wire to be measured to obtain the first copper-clad copper alloy wire segment and the second copper-clad copper alloy wire segment.

10. The method for testing the fatigue resistance of the copper-clad copper alloy wire according to claim 8, characterized in that, After performing the fatigue resistance test on the second copper-clad copper alloy wire segment again according to each of the adjusted test conditions and obtaining multiple second fracture information at the fracture of the second copper-clad copper alloy wire segment, the method further includes: Compare each of the second fracture information with the corresponding first fracture information to obtain multiple difference information; wherein, the difference information includes the relative position difference and time difference of crack occurrence; Update the database according to each of the difference information.

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