Method for constructing a material database for automobile body components and method for acquiring original sheet information

Abstract

To simply and accurately acquire material information (strength or thickness, etc. in a plank) of components to build a material database.SOLUTION: A method of building a material database of automobile body components by storing, in a database, each information of components of an automobile body which has been dismantled into the individual components, includes: an actual measurement step S5 of measuring a plate thickness and Micro Vickers Hardness of a metal component which is a component presumed to be manufactured by press-forming a metal plate, out of the pieces of components; and a plank information acquisition step of converting the plate thickness and the Micro Vickers Hardness of the metal component measured in the actual measurement step into a plate thickness and a tensile strength in a plank that has not been machined into the metal component, using a computer.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a technology for collecting material information of each vehicle body component that constitutes an automobile body and constructing a material database. In particular, the technology is effective for determining the plate thickness and tensile strength of metal components before processing and constructing a material database. [Background technology]

[0002] The materials used in automobile bodies, which are mainly made up of various types of steel plates, have continued to change over the years, with progress being made in increasing strength, thinning, and weight reduction. In addition, automobiles need to achieve the conflicting performance of increasing the strength of the body frame while reducing mass, due to demands such as stricter collision safety standards, improved performance requirements, and reduced fuel consumption and CO2 emissions. For this reason, the use of high-strength steel plates in automobile bodies has been continuously increasing.

[0003] Ordinary steel plate parts are often manufactured using press forming, which has high production efficiency and allows for mass production at low cost. However, as the strength of steel plate materials increases, the formability of the steel plate decreases. As a result, steel plate parts are prone to defects such as cracks (fractures) and wrinkles during forming, and poor shape and dimensional accuracy. For this reason, it is necessary to incorporate technical innovations into the steel plate forming method, part shape, and mold shape from the car body design stage.

[0004] However, reducing the thickness of parts to reduce weight leads to a decrease in part or vehicle body rigidity. For this reason, it is not possible to uniformly increase the strength and reduce the thickness of all vehicle body components. Furthermore, which parts of the vehicle body should be strengthened or thinned, and how to design the optimal part shape according to the steel plate strength, are determined based on the experience of the engineers who design the vehicle body and the accumulated technology that each manufacturer (manufacturing company) has cultivated. For this reason, the company also studies and absorbs the ingenuity, innovative technology, and new material usage and construction methods seen in the designs of other companies through research on commercially available car bodies. The material information of each car body component obtained through the research is then stored in a materials database and used for various studies.

[0005] The material information of components obtained by investigating commercially available vehicle bodies is collected, for example, as follows. That is, the joints of the target vehicle body are dismantled and separated into individual parts. Then, for each component, a portion of the material used is sampled as a test piece, and its hardness and thickness are measured, and its structure is observed under a microscope to identify its characteristics, and a comparative analysis is performed. Here, the measurement is performed by selecting flat parts or parts that have been processed less by molding.

[0006] The tensile strength is then calculated from the measured hardness, and furthermore, the worker infers the tensile strength standard (TS) material standard (for example, the Japan Iron and Steel Federation standard, which is one of the common standards for steel sheets for automobiles in Japan. Hereinafter, this standard will be referred to as the TS standard) and plate thickness of the original plate before processing based on the press-formed shape of the component parts and the type of part, based on the worker's previous knowledge. In this way, the numerical values ​​are compared with the manufacturing standards to identify the standard of the material (original plate) used. The number of components per vehicle can reach 300 to 500, and they are organized into a database for each vehicle model and stored in a materials database. This materials database is used as the basis for various analytical investigations.

[0007] As for creating a database for each vehicle model, Patent Document 1 describes disassembling vehicles on sale and organizing the dimensions, weights, steel materials, exterior photos, etc. of the parts used in the vehicle for each vehicle into a database. At that time, parts with the same function used in the same location in multiple vehicles made by different manufacturers or models are given location, group, and part function names according to uniform standards. It also discloses that it is possible to compare multiple vehicles made by different manufacturers or models. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Patent No. 5151380 Summary of the Invention [Problem to be solved by the invention]

[0009] Steel plate press parts are subject to processing strain during press forming, and work hardening occurs according to the amount of strain. Furthermore, steel plate press parts experience a reduction in plate thickness (thinning) according to the material properties. As a result, both the amount of strain and work hardening are distributed depending on the position within the same part. This strain distribution changes depending on the forming method, part shape, and material properties. For this reason, selecting the sampling position for investigating material properties is key to improving analysis accuracy. Conventionally, sampling locations have been determined based on the experience of the operator or on workability (ease of sampling, etc.), which can result in errors in analytical data.

[0010] In order to reduce these errors, automakers would investigate parts that contain known materials, i.e., their own products, and material manufacturers would investigate their own ordered parts, and compare the results with the results of the sampling investigation. These correct answers were fed back to improve the accuracy of the work of estimating standards from analytical values. However, it was undeniable that the accuracy of these investigation processes depended on the knowledge, ability, experience, and intuition of the workers. If any doubt arose about the judged value, it was necessary to measure the thickness distribution of the entire part using, for example, an ultrasonic thickness gauge, estimate the amount of strain and work hardening in the sampled area, and then confirm and correct the estimated value of the strength standard.

[0011] On the other hand, each manufacturer has its own standard system for mechanical properties such as the tensile strength (TS) of materials. Also, the standard system for the standard thickness of steel sheets used as materials differs depending on the country of production. For this reason, when creating a database for each vehicle model, simply assigning vehicle parts, group names, and part function names according to the unified standard described in Patent Document 1 makes it difficult to search and view data that conforms to the respective standard systems of manufacturers and countries of production.

[0012] The present invention has been made with the above points in mind, and aims to make it possible to obtain material information of components (such as the strength and thickness of the original plate) more easily and accurately, and to more easily construct a material database. [Means for solving the problem]

[0013] In order to solve this problem, one aspect of the present invention is a method for constructing a material database for automobile body components by storing in a database information on each component of an automobile body that has been disassembled into individual component parts, the method comprising: an actual measurement step of measuring the sheet thickness and micro Vickers hardness of metal components, which are components among the disassembled components that are presumed to have been manufactured by press molding a metal plate; and an original plate information acquisition step of converting, using a computer, the sheet thickness and micro Vickers hardness of the metal components measured in the actual measurement step into the sheet thickness and tensile strength of the original plate before being processed into the metal component.

[0014] Here, the micro Vickers hardness can be converted into tensile strength (TS) using, for example, a conversion table from Vickers hardness to strength specified in SAE J 417 or an empirically obtained conversion formula. Effect of the Invention

[0015] According to an aspect of the present invention, material information (strength, plate thickness, etc.) of component parts can be obtained more easily and accurately, and a material database for parts of an automobile body can be constructed more easily. [Brief description of the drawings]

[0016] [Figure 1] FIG. 4 is a diagram illustrating an example of a processing procedure in the first embodiment. [Diagram 2] FIG. 2 is a diagram showing an example of a stress-strain curve (SS curve). [Diagram 3] FIG. 1 is a diagram illustrating the concept of SS curve and work hardening. [Figure 4] FIG. 2 is a diagram illustrating the effect of work hardening on Vickers hardness. [Diagram 5] FIG. 13 is a diagram for explaining the relationship between material data and an estimation of the amount of work hardening. [Figure 6] FIG. 11 is a diagram illustrating an example of a processing procedure in the second embodiment. [Figure 7] FIG. 11 is a diagram illustrating a modified example of the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Next, an embodiment of the present invention will be described with reference to the drawings. Information on each component part of an automobile body disassembled into individual components is stored in a database to construct a material database for automobile body components. In this embodiment, the material information is obtained as the material information on metal components that are components presumed to have been manufactured by press-molding a metal plate such as a steel plate, and stored in the material database. However, other information is also obtained separately and stored in the material database in sequence. As the material information, it is assumed that the plate thickness and tensile strength of the original plate before being processed into the metal component part is obtained.

[0018] "First embodiment" In the first aspect of the present invention, the actual thickness and micro Vickers hardness (MVH) information of an automobile body component are measured. Furthermore, the amount of processing strain and the amount of thickness reduction at the actual measurement position calculated by forming FEM inverse analysis (forming CAE simulation inverse analysis) are obtained from the 3D shape data of the entire part. The thickness and strength of the part are corrected based on the obtained amount of processing strain and amount of thickness reduction, and the material standard (referred to as the TS standard) of the tensile strength (TS) of the original sheet (steel sheet) and the original sheet thickness before processing are determined. Then, it becomes possible to accurately estimate the TS standard of the original sheet before processing the part. The obtained thickness and TS standard of the original sheet are stored in a material database together with information on the part itself, and a material database for automobile bodies is constructed.

[0019] Next, a specific example of this embodiment will be described with reference to FIG. First, in step S1, the joints of the vehicle body to be surveyed are dismantled and separated into parts by a known method. Then, for each part, vehicle information such as the module to which it belongs, layout information, model, and OEM information is stored in a database. Next, in step S2 (sampling position determination step), the actual measurement position (measurement position) is specified for each metal component (hereinafter simply referred to as a part) from which information is to be acquired. Then, the measurement position is marked on the surface of the metal component. For the marking, known symbols such as a star or a double circle may be used. The measurement position is selected to be a flat location that is easy to measure and has a relatively small processing hardness and sheet thickness reduction rate.

[0020] <3D data acquisition process S3> In step S3 (3D data acquisition process), 3D shape measurement is performed on the part with markings at the measurement positions to acquire 3D shape data. The 3D shape data also includes marking position information. The marking positions (measurement positions) also serve as information to specify the positions for taking test pieces for actual measurements. The shape can be measured by known techniques such as image analysis using a stereo camera, a scanning system using laser light, etc. However, an image analysis system that can easily record sampling position information using a paint marker or the like is preferred. In step S4, a test piece including a marking position is taken from the part whose three-dimensional shape information has been acquired.

[0021] <Measurement process S5> In step S5, the plate thickness and micro Vickers hardness of the test piece (part) are measured. For the actual measurements, a test piece is embedded in a resin molding material, its cross section is mirror-polished, and then the cross-sectional thickness and Vickers hardness are measured by the micro-Vickers method.

[0022] <Strength calculation process S6> Next, in step S6, a process is performed to calculate the tensile strength of the part from the actually measured Vickers hardness of the part. For example, the Vickers hardness is converted into tensile strength (TS) using a conversion table from Vickers hardness to strength specified in SAE J 417 or an empirically obtained conversion formula. For simplicity, the tensile strength of a part is set to three times the micro Vickers hardness. In step S7, the material standard (TS standard) for the tensile strength of the original plate is provisionally determined based on the plate thickness and tensile strength of the part thus obtained. The provisional determination is made based on the experience of the worker, etc.

[0023] <Distribution estimation step S8> In step S8, the three-dimensional shape data (recorded shape information) obtained in step S3 is converted into a mesh model for FEM analysis, and forming FEM inverse analysis is performed using a computer. Then, the processing strain distribution and plate thickness distribution are obtained. In a typical press forming FEM analysis, the forming die for forming is modeled, and the material is successively formed as a sheet mesh model to obtain the distribution of processing strain and the distribution of plate thickness reduction. In contrast, forming FEM inverse analysis is an analysis method that obtains the external shape of the material required for part processing by deforming the part shape after forming until it returns to the sheet blank (original plate before processing). This is performed by a solver (program) called the one-push method. The processing strain and thickness reduction amount obtained from the analysis can then be used to estimate the distribution of processing strain and thickness reduction amount on the formed part.

[0024] The following two parameters (1) and (2) are used as input parameters for the above forming FEM inverse analysis. (1) 3D shape data of the part shape (3D-CAD data: CATIA format, AUTO-CAD format, IGES data, etc.) (2) The TS standard of the material (original plate) used in the part, the material data corresponding to the TS standard, and the original plate thickness

[0025] The parameters of (1) are the 3D CAD data of the part shape acquired in step S3. The parameter (2) uses the TS standard set (estimated) in step S7. The thickness of the original sheet is provisionally set to the actual thickness of the part measured in step S4. The material data (SS curve) provisionally determined in step S6 and corresponding to the information on the original sheet (TS standard) is referenced.

[0026] Material data 10 refers to the stress-strain curve (SS curve, see Figure 2) obtained by a tensile test specified in the JIS. The material data 10 is defined as a data group in which the stress and strain forming a curve are paired. Alternatively, the data group may be defined by an approximation equation, and the coefficients forming the approximation equation may be used as the material data 10. Well-known approximations for the relationship between stress and strain in the plastic region include the n-th power hardening law (Equation 1) and the SWIFT equation (Equation 2) shown below. (n-th power hardening law:) δ=c·(ε) n ...Equation (1) (Swift formula:) δ=c·(a +ε) n ...Equation (2) In addition, δ is true stress, ε is true strain, n is work hardening exponent (n value), and c and a are constants.

[0027] <Information conversion process S9> In step S9, the thickness reduction and work hardening of the part at the measurement position (marking position) are obtained from the processing strain distribution and thickness distribution obtained in step S8. Then, the thickness and tensile strength of the original sheet are obtained by correcting the measured values ​​of the tensile strength (TS) and thickness calculated from the actually measured Vickers hardness using the thickness reduction and work hardening of the part. In other words, the amount of work hardening and the amount of thickness reduction at the actual measurement position are obtained from the distribution of processing strain and the amount of thickness reduction, and the part thickness measured in step 5 and the part tensile strength (TS) calculated in step 6 are corrected.

[0028] Here, the definition of the amount of work hardening will be explained further. Work hardening is a phenomenon in which material strength increases when stress is applied beyond the elastic deformation region (true strain ε≦0.2%), causing plastic deformation (residual deformation), as explained by the example of the stress-strain curve (SS curve) shown in Figure 2. It is specified as the work hardening exponent (n value) in the n-th power hardening law (Equation 1) or the Swift equation (Equation 2).

[0029] FIG. 3 is an explanatory diagram of the SS curve and the concept of work hardening. For example, when a test piece is subjected to processing A, exceeding the elastic deformation region (true strain ε≦0.2%) and subjected to stress equal to or greater than yield stress A, deformation (strain) occurs when the load is removed. If a tensile test is then performed again, the apparent yield point (yield stress B) gives a curve with a rise (reprocessing B). The amount of work hardening in processing A is the difference between yield stress A and yield stress B.

[0030] Next, we will provide a supplementary explanation on the necessity of correcting the tensile strength (TS) value calculated from the Vickers hardness according to the amount of work hardening. Vickers hardness is a method of determining the hardness and TS standard of a test piece by pressing a sharp indenter of a specified shape into the test piece, estimating the amount of plastic deformation based on the load and the shape and dimensions of the indentation formed on the test piece. Therefore, as shown in Figure 4, the indentation size (ε1) when a test is performed using a work-hardened test piece (work-hardened in Figure 4) is different from the indentation size (ε2) when a test is performed using an unprocessed test piece (no processing in Figure 4). Therefore, the Vickers hardness determined from a work-hardened test piece is different from the original Vickers hardness of the original sheet before processing.

[0031] Therefore, in this embodiment, the amount of work hardening is estimated from the forming strain (true strain ε) obtained by FEM forming inverse analysis (one-step method) and the stress-strain curve (SS curve), and the tensile strength (TS) obtained from the Vickers hardness of the test piece (part) after plastic deformation is corrected to determine the original tensile strength (TS) and TS standard before plastic deformation. As mentioned above, the conversion from Vickers hardness to strength is generally done by referring to the conversion table specified in SAE J 417, and strength is considered to be equivalent to tensile strength. The amount of work hardening is taken as the difference between the yield stress and the stress equivalent to the forming strain, and the TS value calculated from the Vickers hardness is corrected.

[0032] FIG. 5 shows an example of the process in step S9 in which the tensile strength (TS) calculated from the Vickers hardness of the part and the measured values ​​of the part's sheet thickness are corrected based on the sampling position information during shape measurement and the distribution of processing strain and sheet thickness reduction, thereby estimating the TS standard of the original sheet. First, (a) the tensile strength (TS) was calculated based on the Vickers hardness by referring to the conversion table specified in SAE J 417 and found to be 630 MPa. Then, assuming work hardening, the provisional TS standard (A) of the original sheet was provisionally determined to be JSC590, which is a material standard with a strength level of 590 MPa according to the Japan Iron and Steel Federation standard. Then, (b) using the material data of JSC590, forming FEM inverse analysis was performed to estimate the amount of processing strain due to forming of the sampling part, and the amount of processing strain was estimated to be 0.15 (15%).

[0033] In addition, (c) using the stress-strain curve (SS curve) of JSC590, the amount of work hardening was estimated to be 175 MPa from the difference between the yield stress (ε = 0.2%) and the stress equivalent to the processing strain (ε = 15%). (d) The tensile strength was corrected (hardness determination correction) by subtracting the work hardening amount of 175 MPa from the tensile strength (TS) based on the Vickers hardness of 630 MPa, and the corrected tensile strength (TS') was calculated to be 455 MPa. (e) Based on the tensile strength (TS') of 455 MPa after hardness determination correction, the material standard of the original plate was estimated to be JSC440, which has a strength level of 440 MPa according to the Japan Iron and Steel Federation standard.

[0034] <Evaluation process S10> In step S10, the provisionally determined TS standard of the original sheet (step S7) is compared with the TS regulation of the original sheet after correction (step S9). The process of evaluation step S10 may be omitted. If the TS standard of the original plate estimated from the actual measured values ​​of the part (S7) and the corrected TS standard (S9) differ by a predetermined amount or more, the processing of steps S8, S9 and S10 is executed again with reference to the material data (SS curve) corresponding to the TS standard of the original plate obtained in step S9, and the TS standard of the original plate is determined.

[0035] The above series of data (part information, 3D shape data, processing strain / plate thickness distribution, TS standard) are stored in the material database as mutually linked data (S11). This series of processes corresponds to the stage of collecting basic data and storing it in the material database. Here, the three-dimensional data acquisition step S3, the intensity calculation step S6, the distribution estimation step S8, and the information conversion step S9 constitute an original plate information acquisition step of converting into information about the original plate.

[0036] "Second embodiment" Next, a second embodiment will be described with reference to the drawings. In the first embodiment, a method of converting information into information on an original plate by performing molding FEM inverse analysis using a computer has been exemplified. In contrast, in the second embodiment, as shown in Fig. 6, a conversion model 11 for converting part information into original plate information in advance is provided. This is an example in which part information is converted into original plate information using the conversion model 11. This eliminates the need to perform FEM inverse analysis every time.

[0037] <Conversion model 11> The conversion model 11 is a trained model that has been machine-learned using learning data including previously acquired three-dimensional shape data of a metal component, actually measured plate thickness and micro Vickers hardness, and the plate thickness and tensile strength of the original plate before processing of the metal component.The model uses the three-dimensional shape data of the metal component that is the subject of information acquisition, the actually measured plate thickness and micro Vickers hardness as input data, and calculates the plate thickness and tensile strength of the original plate that corresponds to the input data.

[0038] Each piece of learning data may include data on processing strain distribution and plate thickness distribution obtained by performing forming FEM inverse analysis using a computer to return the metal component to its original plate from the three-dimensional shape data. The learning data may also include information on the type of part. In this case, it is preferable to include the type information in the input data. This learning data may be composed of, for example, the data group acquired in the first embodiment. That is, the learning data may be accumulated by executing the first embodiment. The learning data used in the learning may be, for example, 10,000 or more items.

[0039] The three-dimensional shape data preferably also includes marking position information, which is the measurement position for actually measuring the plate thickness, etc. Then, the above learning data is input sequentially from an accumulation unit (not shown) and CNN or other known machine learning is performed to generate a conversion model 11 in which the three-dimensional shape data, the actually measured plate thickness and micro Vickers hardness of the metal component part from which information is to be acquired are used as input data, and the plate thickness and tensile strength of the original plate corresponding to the input data are used as output data.

[0040] Next, the processing of this embodiment will be described with reference to FIG. In FIG. 6, the processes in steps S1 to S5 are the same as those in the first embodiment. Through these processes, three-dimensional shape data of the metal component part from which information is to be acquired, as well as the measured plate thickness and micro Vickers hardness, are acquired, which serve as input data in the conversion process step S20.

[0041] <Conversion process step S20> Then, in this embodiment, in step S20, the obtained three-dimensional shape data, the measured plate thickness and micro Vickers hardness are inputted into the conversion model 11, and the plate thickness and tensile strength of the original plate are obtained by computer processing. Here, the three-dimensional data acquisition step S3, the conversion processing step S20, and the conversion model 11 constitute an original plate information acquisition step for converting into information on the original plate.

[0042] (Modification) (1) In the above embodiment, the input data of the conversion model 11 is the three-dimensional shape data, the measured plate thickness, and the micro Vickers hardness, but is not limited to this. Instead of the micro Vickers hardness, the tensile strength of the part after processing in step S6 in FIG. 1 may be used. (2) Although the output data of the conversion model 11 is the thickness and tensile strength (TS standard) of the original plate, the output data may be the amount of reduction in plate thickness and the amount of work hardening at the measurement position. In this case, after the process of step S20, a computer process may be performed to subtract the amount of reduction in thickness and the amount of work hardening from the actual measured values, thereby determining the thickness and tensile strength of the original plate. (3) For the conversion model 11, image data of an entire part may be used instead of the 3D shape data. Note that the part to be imaged is marked, and an image is captured that shows the 3D shape of the entire part so that the markings are captured. The image data may be a single image, or a group of multiple image data captured from multiple directions.

[0043] In other words, the conversion model 11 of this modified example is a trained model that has been machine-learned using learning data including previously acquired image data of metal components, actually measured plate thickness and micro Vickers hardness, and the plate thickness and tensile strength of the original plate before processing of the metal components, and is a model that uses image data of the metal components that are the subject of information acquisition, actually measured plate thickness and micro Vickers hardness as input data, and calculates the plate thickness and tensile strength of the original plate that corresponds to the input data.

[0044] <Image acquisition step S31> In this modified example, as shown in FIG. 7, instead of acquiring three-dimensional data in step S3, a process of capturing image data of the part is executed in step S31. In the conversion process (step S20), the image data acquired in step S31 is used as input data instead of the three-dimensional shape data, and the plate thickness and tensile strength of the original plate corresponding to the input data are obtained.

[0045] (Operation etc.) In this embodiment, it has become possible to more easily and accurately obtain material information (strength, plate thickness, etc.) of component parts and build a material database. In particular, in the second embodiment, the thickness and TS standard of the original plate of the part, which were previously determined by a skilled technician from the micro Vickers hardness and plate thickness of the cross section of the sampled test piece, can now be automatically determined by the conversion model. Misjudgments that occurred with a certain probability are reduced, and the accuracy of the database is improved. The judgment logic of the skilled technician is included in the database and prediction formula decision process of the present invention and passed on, reducing the time and cost required to train skill successors.

[0046] The material database constructed as described above will then contain data information linking the OEMs and countries of production of the surveyed automobiles with the TS standards and thicknesses of the original sheets. Although the standards used differ depending on the manufacturer and country of production, the constructed material database will be unified, for example, with tensile strength, using the TS standard. By similarly creating a database of order and design standards and ranges for each OEM and country of production, it will be possible to convert the original sheet TS standard into order and design standards, facilitating smooth communication with OEMs when considering orders or developing new steel sheet products.

[0047] (others) The present disclosure may also have the following configuration. (1) A method for constructing a material database for automobile body components by storing information on each component of an automobile body disassembled into individual components in a database, comprising: a measuring step of measuring the plate thickness and the micro Vickers hardness of the metal components which are presumed to have been manufactured by press-molding a metal plate among the disassembled components; an original plate information acquisition process for converting the plate thickness and micro Vickers hardness measured in the actual measurement process for the metal component into the plate thickness and tensile strength of the original plate before being processed into the metal component using a computer; A method for constructing a material database for automobile body components, comprising:

[0048] (2) The above-mentioned original plate information acquisition process is A strength calculation step of calculating the tensile strength of the metal component from the measured micro Vickers hardness; a three-dimensional data acquisition step of acquiring three-dimensional shape data of a metal component that is the information acquisition target; a distribution estimation process for estimating a processing strain distribution and a plate thickness distribution by performing a forming CAE simulation inverse analysis using a computer to return the metal component to an original plate from the three-dimensional shape data acquired in the three-dimensional data acquisition process; An information conversion process for converting the plate thickness measured in the actual measurement process and the tensile strength calculated in the strength calculation process into the plate thickness and tensile strength of the original plate based on the processing strain distribution and plate thickness distribution calculated in the distribution estimation process; Equipped with.

[0049] (3) The information conversion step determines the amount of thickness reduction and work hardening due to press forming at the measurement positions measured in the measurement step based on the processing strain distribution and sheet thickness distribution determined in the distribution estimation step, and corrects the thickness measured in the actual measurement step and the tensile strength determined in the strength calculation step with the determined amount of thickness reduction and work hardening to convert them into the thickness and tensile strength of the original sheet. (4) The three-dimensional shape data includes information on the measurement positions at which measurements are taken in the actual measurement process.

[0050] (5) The above-mentioned original plate information acquisition process is A trained model that has been machine-trained using training data including previously acquired three-dimensional shape data of a metal component, an actually measured thickness and micro Vickers hardness, and a thickness and tensile strength of an original plate before processing of the metal component, the trained model being a conversion model that uses the three-dimensional shape data of the metal component as an information acquisition target, the actually measured thickness and micro Vickers hardness as input data, and determines the thickness and tensile strength of the original plate corresponding to the input data; a three-dimensional data acquisition step of acquiring three-dimensional shape data of a metal component that is the information acquisition target; A conversion processing step of inputting the three-dimensional shape data obtained in the three-dimensional data acquisition step and the plate thickness and micro Vickers hardness measured in the actual measurement step into the conversion model and obtaining the plate thickness and tensile strength of the original plate by computer processing; Equipped with.

[0051] (6) The learning data includes data on processing strain distribution and plate thickness distribution obtained by performing a computer-based forming CAE simulation inverse analysis of the three-dimensional shape data to return the metal component to its original plate. (7) The three-dimensional shape data of the learning data and the three-dimensional shape data acquired in the three-dimensional data acquiring step have information on the measurement positions where actual measurements are performed.

[0052] (8) The original plate information acquisition step includes: A trained model that has been machine-learned using training data including previously acquired image data of a photograph of a metal component, an actually measured plate thickness and micro Vickers hardness, and a plate thickness and tensile strength of an original plate before processing of the metal component, the trained model being a conversion model that uses the image data of the metal component, the actually measured plate thickness and micro Vickers hardness as input data, and determines the plate thickness and tensile strength of the original plate corresponding to the input data; an image acquisition step of acquiring image data of an image of a metal component that is an information acquisition target; A conversion processing step of inputting the image data obtained by the image acquisition step and the plate thickness and micro Vickers hardness measured by the actual measurement step into the conversion model and obtaining the plate thickness and tensile strength of the original plate by computer processing; Equipped with.

[0053] (9) The image data of the learning data and the image data acquired in the image acquiring step are provided with information on the measurement position where the actual measurement is performed. (10) The material database includes at least the automobile manufacturers and countries of manufacture of automobile bodies to be dismantled, and the tensile strengths and thicknesses of the original plates of the metal components.

[0054] (11) A method for obtaining information on an original plate of a metal component, which is a component presumed to have been manufactured by press-molding a metal plate among components constituting an automobile body, for obtaining a plate thickness and a tensile strength of the original plate before being processed into the metal component, comprising: a measuring process for measuring the thickness and micro Vickers hardness of the metal components; an original plate information acquisition process for converting the plate thickness and micro Vickers hardness measured in the actual measurement process into the plate thickness and tensile strength of the original plate before being processed into the metal component; Equipped with The original plate information acquisition step includes: A strength calculation step of calculating the tensile strength of the metal component from the measured micro Vickers hardness; a three-dimensional data acquisition step of acquiring three-dimensional shape data of a metal component that is the information acquisition target; a distribution estimation process for estimating a processing strain distribution and a plate thickness distribution by performing a forming CAE simulation inverse analysis using a computer to return the metal component to an original plate from the three-dimensional shape data acquired in the three-dimensional data acquisition process; An information conversion process for converting the plate thickness measured in the actual measurement process and the tensile strength calculated in the strength calculation process into the plate thickness and tensile strength of the original plate based on the processing strain distribution and plate thickness distribution calculated in the distribution estimation process; Equipped with.

[0055] (12) A method for obtaining information on an original plate of a metal component, which is a component presumed to have been manufactured by pressing a metal plate among components constituting an automobile body, for obtaining a thickness and a tensile strength of the original plate before the metal component is processed, comprising the steps of: a measuring process for measuring the thickness and micro Vickers hardness of the metal components; A trained model that has been machine-learned using training data including previously acquired three-dimensional shape data of a metal component, an actually measured plate thickness and micro Vickers hardness, and a plate thickness and tensile strength of an original plate before processing of the metal component, the three-dimensional shape data of the metal component, the actually measured plate thickness and micro Vickers hardness being input data, and that obtains a plate thickness and tensile strength of the original plate corresponding to the input data; a three-dimensional data acquisition step of acquiring three-dimensional shape data of a metal component that is the information acquisition target; A conversion processing step of inputting the three-dimensional shape data obtained in the three-dimensional data acquisition step, the plate thickness measured in the actual measurement step, and the micro Vickers hardness into the conversion model, and obtaining the plate thickness and tensile strength of the original plate by computer processing; Equipped with. [Explanation of symbols]

[0056] 10 Material Data 11 Conversion Model S3 3D data acquisition process S5 Measurement process S6 Strength calculation process S8 Distribution estimation process S9 Information conversion process S20 Conversion process S31 Image acquisition process

Claims

1. A method for constructing a material database of automobile body components by storing information on each component of an automobile body disassembled into individual components in a database, comprising: a measuring step of measuring the plate thickness and the micro Vickers hardness of the metal components which are presumed to have been manufactured by press-molding a metal plate among the disassembled components; an original plate information acquisition process for converting the plate thickness and micro Vickers hardness measured in the actual measurement process for the metal component into the plate thickness and tensile strength of the original plate before being processed into the metal component using a computer; A method for constructing a material database for automobile body components, comprising:

2. The original plate information acquisition step includes: A strength calculation step of calculating the tensile strength of the metal component from the measured micro Vickers hardness; a three-dimensional data acquisition step of acquiring three-dimensional shape data of a metal component that is an information acquisition target; A distribution estimation process of estimating a processing strain distribution and a plate thickness distribution by performing a forming CAE simulation inverse analysis by a computer to return the metal component to an original plate from the three-dimensional shape data acquired in the three-dimensional data acquisition process; An information conversion process for converting the plate thickness measured in the actual measurement process and the tensile strength calculated in the strength calculation process into the plate thickness and tensile strength of the original plate based on the processing strain distribution and plate thickness distribution calculated in the distribution estimation process; Equipped with 2. A method for constructing a material database for automobile body components according to claim 1.

3. The information conversion step obtains the amount of thickness reduction and the amount of work hardening due to press forming at the measurement position measured in the measurement step based on the processing strain distribution and the plate thickness distribution obtained in the distribution estimation step, and corrects the plate thickness measured in the actual measurement step and the tensile strength obtained in the strength calculation step with the obtained plate thickness reduction amount and work hardening amount, and converts them into the plate thickness and tensile strength of the original plate.

3. A method for constructing a material database for automobile body components according to claim 2.

4. The three-dimensional shape data includes information on measurement positions to be measured in the actual measurement process.

4. A method for constructing a material database for automobile body components according to claim 2 or 3.

5. The original plate information acquisition step includes: A trained model that has been machine-learned using training data including previously acquired three-dimensional shape data of a metal component, an actually measured thickness and micro Vickers hardness, and a thickness and tensile strength of an original plate before processing of the metal component, the trained model being a conversion model that uses the three-dimensional shape data of the metal component as an information acquisition target, the actually measured thickness and micro Vickers hardness as input data, and determines the thickness and tensile strength of the original plate corresponding to the input data; a three-dimensional data acquisition step of acquiring three-dimensional shape data of a metal component that is an information acquisition target; A conversion processing step of inputting the three-dimensional shape data obtained in the three-dimensional data acquisition step and the plate thickness and micro Vickers hardness measured in the actual measurement step into the conversion model and obtaining the plate thickness and tensile strength of the original plate by computer processing; Equipped with 2. A method for constructing a material database for automobile body components according to claim 1.

6. 6. The method for constructing a material database for automobile body components according to claim 5, wherein the learning data includes data on processing strain distribution and plate thickness distribution obtained by performing a forming CAE simulation inverse analysis using a computer to return the metal component to an original plate from the three-dimensional shape data.

7. The three-dimensional shape data of the learning data and the three-dimensional shape data acquired in the three-dimensional data acquisition step have information on a measurement position for actual measurement.

7. A method for constructing a material database for automobile body components according to claim 5 or 6.

8. The original plate information acquisition step includes: A trained model that has been machine-learned using training data including previously acquired image data of a photograph of a metal component, an actually measured plate thickness and micro Vickers hardness, and a plate thickness and tensile strength of an original plate before processing of the metal component, the trained model being a conversion model that uses the image data of the metal component, the actually measured plate thickness and micro Vickers hardness as input data, and determines the plate thickness and tensile strength of the original plate corresponding to the input data; an image acquisition step of acquiring image data of an image of a metal component that is an information acquisition target; A conversion processing step of inputting the image data obtained by the image acquisition step and the plate thickness and micro Vickers hardness measured by the actual measurement step into the conversion model and obtaining the plate thickness and tensile strength of the original plate by computer processing; Equipped with 2. A method for constructing a material database for automobile body components according to claim 1.

9. The image data of the learning data and the image data acquired in the image acquiring step are provided with information on a measurement position to be actually measured.

9. The method for constructing a material database for automobile body components according to claim 8.

10. The material database includes at least the automobile manufacturer, the country of origin, and the tensile strength and thickness of the original plate of the metal component of the automobile body to be dismantled.

2. A method for constructing a material database for automobile body components according to claim 1.

11. A method for obtaining information on an original sheet of a metal component, which is a component presumed to have been manufactured by press-molding a metal sheet among components constituting an automobile body, for obtaining a sheet thickness and a tensile strength of the original sheet before being processed into the metal component, comprising: a measuring process for measuring the thickness and micro Vickers hardness of the metal components; an original plate information acquisition process for converting the plate thickness and micro Vickers hardness measured in the actual measurement process into the plate thickness and tensile strength of the original plate before being processed into the metal component; Equipped with The original plate information acquisition step includes: A strength calculation step of calculating the tensile strength of the metal component from the measured micro Vickers hardness; a three-dimensional data acquisition step of acquiring three-dimensional shape data of a metal component that is an information acquisition target; A distribution estimation process of estimating a processing strain distribution and a plate thickness distribution by performing a forming CAE simulation inverse analysis using a computer to return the metal component to an original plate from the three-dimensional shape data acquired in the three-dimensional data acquisition process; An information conversion process for converting the plate thickness measured in the actual measurement process and the tensile strength calculated in the strength calculation process into the plate thickness and tensile strength of the original plate based on the processing strain distribution and plate thickness distribution calculated in the distribution estimation process; Equipped with A method for acquiring original plate information of an automobile body component.

12. A method for obtaining information on an original plate of a metal component, which is a component presumed to be manufactured by pressing a metal plate among components constituting an automobile body, for obtaining a plate thickness and a tensile strength of the original plate before the metal component is processed, comprising the steps of: a measuring process for measuring the thickness and micro Vickers hardness of the metal components; A trained model that has been machine-learned using training data including previously acquired three-dimensional shape data of a metal component, an actually measured plate thickness and micro Vickers hardness, and a plate thickness and tensile strength of an original plate before processing of the metal component, the three-dimensional shape data of the metal component, the actually measured plate thickness and micro Vickers hardness being input data, and that obtains a plate thickness and tensile strength of the original plate corresponding to the input data; a three-dimensional data acquisition step of acquiring three-dimensional shape data of a metal component that is an information acquisition target; A conversion processing step of inputting the three-dimensional shape data obtained in the three-dimensional data acquisition step, the plate thickness measured in the actual measurement step, and the micro Vickers hardness into the conversion model, and obtaining the plate thickness and tensile strength of the original plate by computer processing; Equipped with A method for acquiring original plate information of an automobile body component.

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