A method and apparatus for predicting material safety margins
By obtaining strain information of the target area of the part, correcting the test model, and testing multiple materials, the problem of predicting the material safety margin under countless model conditions was solved, and the accurate prediction of the material deformation performance was achieved, improving supply stability and customer satisfaction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-06-21
- Publication Date
- 2026-03-20
AI Technical Summary
Existing technologies cannot accurately predict the impact of material deformation property fluctuations on stamped parts without a part design model, which makes it impossible for material suppliers to accurately predict material safety margins.
By acquiring the regional strain information of the target area of the part, the initial test model is modified to obtain an equivalent test model, and the model is used to test multiple predicted materials. The predicted strain information and safety margin of each material are calculated by combining the ultimate deformation information.
In the absence of part design models, the accurate prediction of the range of material deformation properties improves the stability and reliability of deformation material supply and enhances customer satisfaction.
Smart Images
Figure CN115169027B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application relates to the technical field of strip steel performance prediction, and in particular to a material safety margin prediction method and device. BACKGROUND
[0002] With the continuous improvement of people's living standards, the automobile industry has also developed rapidly. At present, the domestic passenger car production and sales have exceeded 25 million vehicles for five consecutive years, ranking first in the world. As the main parts of the automobile, the stamping parts, the product quality and the stability of the stamping process are becoming more and more important. When the material supplier provides the stamping automobile plate for the automobile main plant and the parts supplier, the safety margin of the automobile plate after forming can be checked by simulating the forming process of the parts, but since the automobile factory generally keeps the product model confidential, except for the automobile design and production stage, the material supplier qualification is obtained, other suppliers generally have no product model support when switching in the later stage, which leads to the inability to accurately predict the influence of material performance fluctuation on the deformation quality.
[0003] Therefore, how to accurately predict the safety margin of the material for predicting the deformation performance fluctuation is a technical problem to be solved at present. SUMMARY
[0004] The material safety margin prediction method and device provided by the application can accurately predict the safety margin of the material for predicting the deformation performance fluctuation.
[0005] The embodiments of the application provide the following scheme:
[0006] In a first aspect, the embodiments of the application provide a material safety margin prediction method, which comprises the following steps:
[0007] Obtaining an initial test model and region strain information of a target region of a part, wherein the target region is a region of the part after deformation, in which a quality defect exists;
[0008] Obtaining a plurality of prediction materials and limit deformation information, wherein the plurality of prediction materials are different materials with deformation performance fluctuation;
[0009] Adjusting the initial test model according to the region strain information to obtain an equivalent test model;
[0010] Testing the plurality of prediction materials according to the equivalent test model to obtain prediction strain information of each of the plurality of prediction materials;
[0011] Obtaining a prediction safety margin of each of the plurality of prediction materials according to the prediction strain information and the limit deformation information.
[0012] In an alternative embodiment, the acquiring the area strain information of the target area of the part comprises:
[0013] acquiring the target area of the part;
[0014] performing a grid strain test according to the target area to obtain a current strain state and current strain data of the target area;
[0015] obtaining the area strain information according to the current strain state and the current strain data.
[0016] In an alternative embodiment, the initial test model is an expansion equivalent model, and refining the initial test model according to the area strain information to obtain an equivalent test model comprises:
[0017] acquiring a strain deviation threshold and current experimental data, wherein the current experimental data comprises a specimen size, a friction coefficient, and an expansion height;
[0018] performing an expansion test on the part material according to the expansion equivalent model and the current experimental data to obtain a current test result;
[0019] determining whether the current test result is less than the strain deviation threshold;
[0020] if yes, obtaining the equivalent test model according to the current test result;
[0021] if no, updating the current experimental data and repeating the expansion test on the part material until the current test result is less than the strain deviation threshold.
[0022] In an alternative embodiment, testing the plurality of predicted materials according to the equivalent test model to obtain predicted strain information of each of the plurality of predicted materials comprises:
[0023] acquiring current material properties of the plurality of predicted materials;
[0024] obtaining the predicted strain information according to the current material properties and the equivalent test model.
[0025] In an alternative embodiment, the limit deformation information is a forming limit diagram, and obtaining a predicted safety margin of each of the plurality of predicted materials according to the predicted strain information and the limit deformation information comprises:
[0026] acquiring target strain information of the predicted strain information;
[0027] obtaining a strain safety section and a strain risk section of the current predicted material according to the target strain information and the forming limit diagram;
[0028] According to the strain safety section and the strain risk section, the predicted safety margin of the current predicted material is obtained.
[0029] In an alternative embodiment, the obtaining of the strain safety section and the strain risk section of the current predicted material according to the target strain information of the predicted strain information and the forming limit diagram comprises:
[0030] According to the major strain value and the minor strain value of the target strain information, a current coordinate located in the forming limit diagram is obtained;
[0031] According to the distance between the current coordinate and the minor strain origin of the forming limit diagram, the strain safety section is obtained;
[0032] According to the distance of the linear extension of the strain safety section to the intersection with the forming limit curve in the forming limit diagram, the strain risk section is obtained.
[0033] In an alternative embodiment, after the obtaining of the predicted safety margin of each piece of the multiple pieces of predicted material according to the predicted strain information and the limit deformation information, the method further comprises:
[0034] Obtaining a safety margin threshold value;
[0035] According to the predicted safety margin and the safety margin threshold value, a target material for manufacturing the part is determined from the multiple pieces of predicted material.
[0036] In a second aspect, the embodiments of the present application further provide a device for predicting a material safety margin, comprising:
[0037] A first obtaining module is configured to obtain an initial test model and region strain information of a target region of a part, wherein the target region is a region of the part in which a quality defect exists after deformation;
[0038] A second obtaining module is configured to obtain multiple pieces of predicted material and limit deformation information, wherein the multiple pieces of predicted material are different materials with fluctuating deformation performance;
[0039] A first obtaining module is configured to modify the initial test model according to the region strain information to obtain an equivalent test model;
[0040] A second obtaining module is configured to test the multiple pieces of predicted material according to the equivalent test model to obtain predicted strain information of each piece of the multiple pieces of predicted material;
[0041] A third obtaining module is configured to obtain a predicted safety margin of each piece of the multiple pieces of predicted material according to the predicted strain information and the limit deformation information.
[0042] In an optional embodiment, the first obtaining module comprises:
[0043] A first obtaining sub-module is configured to obtain the target region of the part.
[0044] A first obtaining sub-module is configured to perform a grid strain test according to the target region, and obtain a current strain state and current strain data of the target region.
[0045] A second obtaining sub-module is configured to obtain the region strain information according to the current strain state and the current strain data.
[0046] In an optional embodiment, the initial test model is an expansion equivalent model, and the first obtaining module comprises:
[0047] A second obtaining sub-module is configured to obtain a strain deviation threshold and current experimental data, wherein the current experimental data comprises a sample size, a friction coefficient, and an expansion height.
[0048] A third obtaining sub-module is configured to obtain a current test result according to the expansion equivalent model and the current experimental data of the part material.
[0049] A judging sub-module is configured to judge whether the current test result is less than the strain deviation threshold.
[0050] A fourth obtaining sub-module is configured to obtain the equivalent test model according to the current test result when the current test result is less than the strain deviation threshold.
[0051] An updating sub-module is configured to update the current experimental data to repeatedly expand test the part material until the current test result is less than the strain deviation threshold when the current test result is not less than the strain deviation threshold.
[0052] In an optional embodiment, the second obtaining module comprises:
[0053] A third obtaining sub-module is configured to obtain a current material performance of the plurality of predicted materials.
[0054] A fifth obtaining sub-module is configured to obtain the predicted strain information according to the current material performance and the equivalent test model.
[0055] In an optional embodiment, the limit deformation information is a forming limit diagram, and the third obtaining module comprises:
[0056] A fourth obtaining sub-module is configured to obtain target strain information of the predicted strain information.
[0057] A sixth obtaining sub-module is configured to obtain a strain safety section and a strain risk section of the current predicted material according to the target strain information and the forming limit diagram.
[0058] A seventh obtaining sub-module is configured to obtain the predicted safety margin of the current predicted material according to the strain safety section and the strain risk section.
[0059] In an optional embodiment, the sixth obtaining sub-module comprises:
[0060] A first obtaining unit is configured to obtain a current coordinate on the forming limit diagram according to a principal strain value and a secondary strain value of the target strain information.
[0061] A second obtaining unit is configured to obtain the strain safety section according to a distance between the current coordinate and a secondary strain origin of the forming limit diagram.
[0062] A third obtaining unit is configured to obtain the strain risk section according to a distance of a straight line extension of the strain safety section to an intersection with a forming limit curve in the forming limit diagram.
[0063] In an optional embodiment, the prediction device further comprises:
[0064] A third obtaining module is configured to obtain a safety margin threshold value.
[0065] A determining module is configured to determine a target material for manufacturing the part from the plurality of predicted materials according to the predicted safety margin and the safety margin threshold value.
[0066] In a third aspect, an electronic device is provided, which comprises a processor and a memory coupled to the processor, and the memory stores instructions which, when executed by the processor, cause the electronic device to perform the steps of any of the methods in the first aspect.
[0067] In a fourth aspect, a computer readable storage medium is provided, which stores a computer program, and the program, when executed by a processor, implements the steps of any of the methods in the first aspect.
[0068] Compared with the prior art, the material safety margin prediction method and device provided by the present application has the following advantages:
[0069] The prediction method of the present application obtains the regional strain information of the target region with quality defects after the deformation of the part, modifies the initial test model according to the regional strain information, obtains an equivalent test model capable of reaching a similar deformation state of the prediction material, and then tests multiple pieces of prediction material through the equivalent test model, obtains the prediction strain information of each piece of prediction material, and according to the prediction strain information and the limit deformation information of the prediction material, obtains the prediction safety margin of each piece of prediction material, which can still accurately predict the safety margin of the prediction material with fluctuation in deformation performance without part design numerical model, and further accurately predict the interval range of the material deformation performance, improve the stability and reliability of the deformation material supply, and improve the customer satisfaction. BRIEF DESCRIPTION OF DRAWINGS
[0070] In order to more clearly illustrate the technical solutions in the embodiments of the present specification or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present specification, and other drawings can be obtained by those skilled in the art without creative labor.
[0071] Figure 1 A flowchart of a material safety margin prediction method provided by an embodiment of the present application;
[0072] Figure 2-1 A physical diagram of a part provided by an embodiment of the present application;
[0073] Figure 2-2 A physical diagram of a target region of a part provided by an embodiment of the present application;
[0074] Figure 3 A limit forming diagram provided by an embodiment of the present application;
[0075] Figure 4-1 A schematic diagram of the primary strain and secondary strain of a target region provided by an embodiment of the present application;
[0076] Figure 4-2 A strain state schematic diagram of a target region provided by an embodiment of the present application;
[0077] Figure 5 A fluctuation distribution diagram of the yield strength of a prediction material provided by an embodiment of the present application;
[0078] Figure 6 A fluctuation distribution diagram of the tensile strength of a prediction material provided by an embodiment of the present application;
[0079] Figure 7 A fluctuation distribution diagram of the elongation at break of a prediction material provided by an embodiment of the present application;
[0080] Figure 8 A schematic diagram of calculating the predicted safety margin provided by the embodiment of the present application;
[0081] Figure 9 A structural schematic diagram of a device for predicting the safety margin of a material provided by the embodiment of the present application. DETAILED DESCRIPTION
[0082] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art belong to the scope of protection of the embodiments of the present application.
[0083] Please refer to Figure 1 , Figure 1 A flowchart of a method for predicting the safety margin of a material provided by the embodiment of the present application, comprising:
[0084] S11, obtaining an initial test model and region strain information of a target region of a part, wherein the target region is a region where a quality defect exists after deformation of the part.
[0085] Specifically, the deformation mode of the part can be determined according to the actual forming process of its deformation characteristics. The forming process mainly includes hot forming and cold forming. In the cold forming process, stamping forming is usually adopted by using a press machine and a die to prepare a part that meets the deformation requirements. In the preparation process of the part, due to the fluctuation of material performance, a quality defect occurs in the target region. Please refer to Figure 2-1 and 2-2 When the cold stamping forming deformation of the automobile door occurs, cracking occasionally occurs near the sound port. This region is a region with a high risk of stamping cracking, and is defined as the target region. It can be understood that the quality defect is characterized in various forms, for example, whitening, wrinkling, necking or cracking region after the deformation of the part, which can be determined as the target region. The region strain information is information that can represent the strain state and size of the target region after deformation.
[0086] In a specific embodiment, the region strain information of the target region of the part is obtained, comprising:
[0087] Obtaining the target region of the part; performing a grid strain test according to the target region to obtain the current strain state and current strain data of the target region; and obtaining the region strain information according to the current strain state and the current strain data.
[0088] Specifically, the grid strain test is to divide the target area into a grid state before forming, and to obtain the area strain information according to the change of the grid after forming. The test process is carried out according to the grid strain test in the standard GBT 15825.8-2008 Metal Sheet Forming Performance and Test Method. Those skilled in the art can understand that the strain state of the target area after the grid strain test analysis includes single tension strain state, plane strain state, and double tension strain state. The strain data includes the principal strain and the secondary strain. The current strain state and the current strain data of the target area can be obtained after the grid strain test, so as to accurately obtain the area strain information. Taking the test of the target area near the sound hole as an example, the current strain state obtained is the plane strain state, and the current strain data is (-0.047, 0.391). Please refer to Figure 3 , the secondary strain of the circle position in the figure is -0.047, that is, -4.7% corresponding to the horizontal coordinate; the principal strain is 0.391, that is, 39.1% corresponding to the vertical coordinate. After obtaining the area strain information, step S12 is entered.
[0089] S12, obtaining a plurality of prediction materials and limit deformation information, wherein the plurality of prediction materials are different materials with fluctuation of deformation performance.
[0090] Specifically, the prediction material is the material to be predicted for safety margin; and the limit deformation information is the information of the deformation of the material in the limit state. Please continue to refer to Figure 3 , for example, the material forming limit curve in the forming limit diagram.
[0091] S13, modifying the initial test model according to the area strain information to obtain an equivalent test model.
[0092] Specifically, the initial test model is used to model the test material to reach the area strain information. Since there may be deviations in the strain state and strain information of the material after the test in the initial state, the initial test model is modified by taking the area strain information as a reference during the test, until the test result is the same as the result of the deformation of the part in the target area, and the modified initial test model is determined as the equivalent test model. The test model can be AUTOFORM finite element analysis software. After modifying the AUTOFORM finite element analysis software, the material (or part material) of the formed automobile door is tested by the equivalent test model. Please refer to Figure 4-1 and 4-2 , Figure 4-2 The circle position corresponds to the target area, and the strain state of the target area is the plane strain state, and the principal strain and the secondary strain are 0.394 and -0.044, respectively, which is close to the result of the grid strain test in Figure 3 , which indicates that the initial test model is modified well, that is, it can be determined as the equivalent test model.
[0093] In a specific embodiment, the initial test model is an expansion equivalent model, the initial test model is modified according to the regional strain information, and an equivalent test model is obtained, including:
[0094] obtaining a strain deviation threshold and current experimental data, wherein the current experimental data includes sample size, friction coefficient and expansion height; obtaining a current test result according to the expansion of the part material of the expansion equivalent model test current experimental data; determining whether the current test result is less than the strain deviation threshold; if yes, obtaining an equivalent test model according to the current test result; if no, updating the current experimental data and repeating the expansion test of the part material until the current test result is less than the strain deviation threshold.
[0095] Specifically, the strain deviation threshold can be determined according to the actual situation, or can be preset according to the test experience of the technical personnel. In the expansion equivalent model, the ball head diameter used is φ100mm, and the sample length is 180mm. If the current test result is not less than the strain deviation threshold, the current experimental data is updated and the expansion test of the part material is repeated. Generally, the updated size is mainly the sample width, which is generally changed by changing the sample width and the expansion height, so that the deviation of the simulated expansion limit principal strain and secondary strain compared with the principal strain and secondary strain of the target region of the actual part is not greater than 3%, or can be set to not greater than 5%. After obtaining the equivalent test model, step S14 is entered.
[0096] S14, testing the plurality of predicted materials according to the equivalent test model to obtain predicted strain information of each of the plurality of predicted materials.
[0097] Specifically, since the equivalent test model is modified, when the plurality of predicted materials is tested by the equivalent test model, the same strain state as the target region of the part can be achieved, and the predicted strain information of each of the plurality of predicted materials is obtained.
[0098] In a specific embodiment, the plurality of predicted materials is tested according to the equivalent test model to obtain predicted strain information of each of the plurality of predicted materials, including:
[0099] obtaining current material performance of the plurality of predicted materials; and obtaining predicted strain information according to the current material performance and the equivalent test model.
[0100] Specifically, the material performance includes yield strength, tensile strength, hardening index, thickness anisotropy coefficient, elongation after fracture, material thickness and friction coefficient, etc. The material performance can be obtained through large production data in the material production process, and the material performance of the predicted material fluctuates within a certain range. Taking the material for replacing the automobile door as an example, the material performance is statistically analyzed, please refer to Figure 5-7The current material performance can be determined according to the deformation characteristics of the target region. Since the automobile door is formed by die stamping, the material performance affecting the deformation characteristics is mainly the yield strength. Therefore, the yield strength is selected as the current material performance input into the equivalent test model, and the predicted strain information is correspondingly calculated. Taking the replacement of the forming material of the automobile door as an example, the predicted strain information of different materials is obtained based on the multiple predicted materials. The corresponding strain states S1, S2, …, Sn are all plane strain states, and the corresponding strain data are (-0.043, 0.392), (-0.043, 0.394), …, (-0.045, 0.394), respectively. After obtaining the predicted strain information, step S15 is entered.
[0101] S15, obtaining the predicted safety margin of each of the multiple predicted materials according to the predicted strain information and the limit deformation information.
[0102] Specifically, the predicted strain information represents the strain state and strain data of the current predicted material in the multiple predicted materials, and the limit deformation information represents the data of the deformation of the predicted material in the limit state. The predicted safety margin of the current predicted material can be obtained by comparing the two.
[0103] In a specific embodiment, the limit deformation information is a forming limit diagram. According to the predicted strain information and the limit deformation information, the predicted safety margin of each of the multiple predicted materials is obtained, including:
[0104] obtaining target strain information of the predicted strain information; obtaining a strain safety section and a strain risk section of the current predicted material according to the target strain information and the forming limit diagram; and obtaining the predicted safety margin of the current predicted material according to the strain safety section and the strain risk section.
[0105] Specifically, the predicted strain information includes the strain state and the strain data. The strain data can be taken as the target strain information, which can be recorded as ε xn , ε yn . Please refer to Figure 8 . The strain safety section ln and the strain risk section Ln can be obtained by the target strain information and the forming limit diagram. The predicted safety margin Mn can be calculated according to the formula Mn = Ln / (Ln+ln). Taking the replacement of the forming material of the automobile door as an example, the predicted safety margins of the materials in the multiple predicted materials are calculated as follows:
[0106] M1 = (0.004 / (0.3962+0.004))x100% = 0.99%;
[0107] M2 = (0.0462 / (0.3963+0.0462))x100% = 10.44%; …
[0108] Mn = (0.0899 / (0.0899 + 0.3963)) x 100% = 18.49%.
[0109] The traditional safety margin calculation method is based on the forming limit curve, and the safety margin is obtained by shifting the forming limit curve by 10%. The calculation method of the embodiment of the application is more accurate.
[0110] In a specific embodiment, according to the target strain information of the predicted strain information and the forming limit diagram, the strain safety section and the strain risk section of the current predicted material are obtained, comprising:
[0111] According to the principal strain value and the secondary strain value of the target strain information, the current coordinate located in the forming limit diagram is obtained; according to the distance between the current coordinate and the secondary strain origin of the forming limit diagram, the strain safety section is obtained; and according to the distance of the linear extension of the strain safety section to the intersection with the forming limit curve in the forming limit diagram, the strain risk section is obtained.
[0112] Specifically, please refer to Figure 8 , through the principal strain value and the secondary strain value of the target strain information, the current coordinate obtained is (ε xn , ε yn ), the distance ln between the current coordinate and the secondary strain origin of the forming limit diagram is the strain safety section, and the distance of the linear extension of the strain safety section to the intersection with the forming limit curve in the forming limit diagram is the strain risk section Ln. In the forming material of the replacement automobile door, the strain risk section Ln is 0.004, 0.0462, …, 0.0899, and the strain safety section ln is 0.3962, 0.3963, …, 0.3963.
[0113] Due to the influence of production process limitations and other production factors, the deformation performance of the predicted material has certain fluctuations, and the material capable of preparing the part needs to be determined within the fluctuation range.
[0114] In a specific embodiment, after obtaining the predicted safety margin of each piece of the plurality of predicted materials according to the predicted strain information and the limit deformation information, the method further comprises:
[0115] Obtaining a safety margin threshold; according to the predicted safety margin and the safety margin threshold, determining the target material for preparing the part from the plurality of predicted materials.
[0116] Specifically, the safety margin threshold value can be set as 20%, and of course, other values can also be set. If the predicted safety margin is greater than the safety margin threshold value, it means that the corresponding predicted material can be stably deformed to successfully prepare a part meeting the quality requirements, i.e., the predicted material is determined as the target material; otherwise, if the predicted safety margin is not greater than the safety margin threshold value, it means that the corresponding predicted material has a risk of forming damage when preparing a part, and then it is determined that it is not the target material. In this way, the target material meeting the safety margin can be accurately determined from a plurality of predicted materials to stably supply the material for part preparation.
[0117] Based on the same inventive concept as the prediction method, the embodiments of the present application also provide a device for predicting the safety margin of a material, please refer to Figure 9 , comprising:
[0118] The first acquisition module 901 is configured to acquire an initial test model and region strain information of a target region of a part, wherein the target region is a region of the part having a quality defect after deformation.
[0119] The second acquisition module 902 is configured to acquire a plurality of predicted materials and limit deformation information, wherein the plurality of predicted materials are different materials with fluctuating deformation performance.
[0120] The first obtaining module 903 is configured to modify the initial test model according to the region strain information to obtain an equivalent test model.
[0121] The second obtaining module 904 is configured to test the plurality of predicted materials according to the equivalent test model to obtain predicted strain information of each of the plurality of predicted materials.
[0122] The third obtaining module 905 is configured to obtain a predicted safety margin of each of the plurality of predicted materials according to the predicted strain information and the limit deformation information.
[0123] In an optional embodiment, the first acquisition module comprises:
[0124] The first acquisition sub-module is configured to acquire the target region of the part.
[0125] The first obtaining sub-module is configured to perform a grid strain test according to the target region to obtain a current strain state and current strain data of the target region.
[0126] The second obtaining sub-module is configured to obtain the region strain information according to the current strain state and the current strain data.
[0127] In an optional embodiment, the initial test model is an expansion equivalent model, and the first obtaining module comprises:
[0128] a second obtaining sub-module, configured to obtain a strain deviation threshold and current experimental data, wherein the current experimental data comprises a specimen size, a friction coefficient, and a bulging height;
[0129] a third obtaining sub-module, configured to obtain a current test result according to the bulging equivalent model and the current experimental data of the part material;
[0130] a judging sub-module, configured to judge whether the current test result is less than the strain deviation threshold;
[0131] a fourth obtaining sub-module, configured to, when the current test result is less than the strain deviation threshold, obtain the equivalent test model according to the current test result;
[0132] an updating sub-module, configured to, when the current test result is not less than the strain deviation threshold, update the current experimental data to repeat the bulging test of the part material until the current test result is less than the strain deviation threshold.
[0133] In an optional embodiment, the second obtaining module comprises:
[0134] a third obtaining sub-module, configured to obtain current material performance of the plurality of predicted materials;
[0135] a fifth obtaining sub-module, configured to obtain the predicted strain information according to the current material performance and the equivalent test model.
[0136] In an optional embodiment, the limit deformation information is a forming limit diagram, and the third obtaining module comprises:
[0137] a fourth obtaining sub-module, configured to obtain target strain information of the predicted strain information;
[0138] a sixth obtaining sub-module, configured to obtain a strain safety section and a strain risk section of the current predicted material according to the target strain information and the forming limit diagram;
[0139] a seventh obtaining sub-module, configured to obtain the predicted safety margin of the current predicted material according to the strain safety section and the strain risk section.
[0140] In an optional embodiment, the sixth obtaining sub-module comprises:
[0141] a first obtaining unit, configured to obtain a current coordinate located in the forming limit diagram according to a principal strain value and a secondary strain value of the target strain information;
[0142] a second obtaining unit configured to obtain the strain safety section according to a distance between the current coordinate and a secondary strain origin of the forming limit diagram;
[0143] a third obtaining unit configured to obtain the strain risk section according to a distance of linear extension of the strain safety section to an intersection with a forming limit curve in the forming limit diagram.
[0144] In an optional embodiment, the prediction device further comprises:
[0145] a third obtaining module configured to obtain a safety margin threshold value;
[0146] a determining module configured to determine a target material for manufacturing the part from the plurality of prediction materials according to the predicted safety margin and the safety margin threshold value.
[0147] Based on the same inventive concept as the prediction method, the embodiments of the present application further provide an electronic device comprising a processor and a memory, the memory being coupled to the processor, the memory storing instructions which, when executed by the processor, cause the electronic device to perform the steps of any one of the prediction methods.
[0148] Based on the same inventive concept as the prediction method, the embodiments of the present application further provide a computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps of any one of the prediction methods.
[0149] The technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
[0150] The prediction method of the embodiments of the present application obtains the regional strain information of the target region in which the part has a quality defect after deformation, modifies the initial test model according to the regional strain information, obtains an equivalent test model capable of bringing the prediction material to a similar deformation state, and then tests the plurality of prediction materials through the equivalent test model to obtain the predicted strain information of each of the plurality of prediction materials, and according to the predicted strain information and the limit deformation information of the prediction material, obtains the predicted safety margin of each of the plurality of prediction materials, which can still accurately predict the corresponding safety margin of the prediction material with fluctuation in deformation performance without part design numerical model, and further accurately predict the interval range of the material deformation performance, thereby improving the stability and reliability of the deformation material supply and the satisfaction of customers.
[0151] Those skilled in the art will appreciate that embodiments of the present application can be devised for a variety of applications. It is intended that the present application be limited only by the scope of the appended claims, and it is intended that various modifications and alterations made by those skilled in the art be considered as within the scope of the present application. The embodiments of the present application will be described with reference to the attached drawings, wherein:
[0152] The present application is described in reference to the drawings using a flowchart illustration and / or a block diagram of the method, apparatus (modules) and computer program product according to embodiments of the present application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.
[0153] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.
[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.
[0155] While the preferred embodiments of the application have been described, additional variations and modifications can be made to the embodiments by those skilled in the art once they learn of the basic inventive concepts. Therefore, the appended claims are intended to cover all such modifications and variations as fall within the true scope of the present application.
[0156] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.
Claims
1. A method for predicting material safety margin, characterized in that, include: Obtain the regional strain information of the initial test model and the target area of the part, wherein the target area is the area where the part has quality defects after deformation, and the initial test model is an equivalent model of bulging; Acquire multiple predicted materials and ultimate deformation information, wherein the multiple predicted materials are different materials with fluctuating deformation properties, and the ultimate deformation information is a forming limit diagram; The initial test model is revised based on the strain information in the region to obtain an equivalent test model, including: acquiring a strain deviation threshold and current experimental data, wherein the current experimental data includes sample size, friction coefficient, and bulging height; performing a bulging test on the part material based on the current experimental data according to the bulging equivalent model to obtain the current test result; determining whether the current test result is less than the strain deviation threshold; if yes, obtaining the equivalent test model based on the current test result; if no, updating the current experimental data and repeating the bulging test on the part material until the current test result is less than the strain deviation threshold. The multiple predicted materials are tested according to the equivalent test model to obtain the predicted strain information of each of the multiple predicted materials; Based on the predicted strain information and the limiting deformation information, the predicted safety margin of each of the multiple predicted materials is obtained, including: acquiring the target strain information of the predicted strain information; obtaining the strain safety segment and strain risk segment of the current predicted material based on the target strain information and the forming limit diagram; and obtaining the predicted safety margin of the current predicted material based on the strain safety segment and the strain risk segment; wherein, the calculation formula for the predicted safety margin is: Mn = Ln / (Ln + ln); Where Mn is the predicted safety margin, ln is the strain safety segment, and Ln is the strain risk segment.
2. The method for predicting material safety margin according to claim 1, characterized in that, The acquisition of regional strain information of the target area of the part includes: Obtain the target region of the part; A grid strain test is conducted on the target area to obtain the current strain state and current strain data of the target area. Based on the current strain state and the current strain data, the strain information of the region is obtained.
3. The method for predicting material safety margin according to claim 1, characterized in that, The multiple predicted materials are tested according to the equivalent test model to obtain the predicted strain information of each of the multiple predicted materials, including: Obtain the current material properties of the multiple predicted materials; The predicted strain information is obtained based on the current material properties and the equivalent experimental model.
4. The method for predicting material safety margin according to claim 1, characterized in that, The step of obtaining the strain safety range and strain risk range of the current predicted material based on the target strain information of the predicted strain information and the forming limit diagram includes: Based on the principal strain value and secondary strain value of the target strain information, the current coordinates located on the forming limit diagram are obtained; The strain safety segment is obtained based on the distance between the current coordinates and the secondary strain origin of the forming limit diagram; The strain risk segment is obtained by extending the strain safety segment linearly to the distance where it intersects with the forming limit curve in the forming limit diagram.
5. The method for predicting material safety margin according to claim 1, characterized in that, After obtaining the predicted safety margin for each of the multiple predicted materials based on the predicted strain information and the ultimate deformation information, the method further includes: Obtain the safety margin threshold; Based on the predicted safety margin and the safety margin threshold, the target material for manufacturing the part is determined from the plurality of predicted materials.
6. A device for predicting material safety margin, characterized in that, include: The first acquisition module is used to acquire the regional strain information of the initial test model and the target area of the part, wherein the target area is the area where the part has quality defects after deformation, and the initial test model is an equivalent model of bulging. The second acquisition module is used to acquire multiple predicted materials and ultimate deformation information, wherein the multiple predicted materials are different materials with fluctuating deformation properties, and the ultimate deformation information is a forming limit diagram; The first acquisition module is used to revise the initial test model based on the regional strain information to obtain an equivalent test model, including: acquiring a strain deviation threshold and current experimental data, wherein the current experimental data includes sample size, friction coefficient, and bulging height; performing a bulging test on the part material based on the current experimental data according to the bulging equivalent model to obtain the current test result; determining whether the current test result is less than the strain deviation threshold; if yes, obtaining the equivalent test model based on the current test result; if no, updating the current experimental data and repeating the bulging test on the part material until the current test result is less than the strain deviation threshold; The second acquisition module is used to test the multiple predicted materials according to the equivalent test model and obtain the predicted strain information of each of the multiple predicted materials. The third obtaining module is used to obtain the predicted safety margin of each of the multiple predicted materials based on the predicted strain information and the limiting deformation information, including: obtaining the target strain information of the predicted strain information; obtaining the strain safety segment and strain risk segment of the current predicted material based on the target strain information and the forming limit diagram; and obtaining the predicted safety margin of the current predicted material based on the strain safety segment and the strain risk segment; wherein, the calculation formula of the predicted safety margin is: Mn = Ln / (Ln + ln); Where Mn is the predicted safety margin, ln is the strain safety segment, and Ln is the strain risk segment.
7. An electronic device, characterized in that, The device includes a processor and a memory, the memory being coupled to the processor, the memory storing instructions that, when executed by the processor, cause the electronic device to perform the steps of the method according to any one of claims 1-5.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method described in any one of claims 1-5.