JP2003036277A - Material data providing system, material data providing device, material data acquisition device, material data providing method, recording medium, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To save labor hour of a user engaged in designing a metal product as much as possible by computerizing automated provision of material data. SOLUTION: A user terminal 101 includes a transmission function 402 transmitting material data acquisition conditions to a server computer 102, and a reception function 403 receiving a material data file corresponding to the acquisition conditions, and a server computer 102 includes a database 111, a reception function 502 receiving the acquisition conditions, a selection function 503 selecting material data corresponding to the acquisition conditions from the database 111, a data file preparation function 504 preparation a material data file based on the selected material data responding to users request, and a transmission function 505 transmitting prepared material data file to the user terminal 101.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a material data providing system, a material data providing device, a material data providing method, a recording medium and a program for supplying material data required by a user when designing a metal product. .

[0002]

2. Description of the Related Art In recent years, using computers, CAD (C
omputer Aided Design) system and CAE (Computer Aided Design)
ed Engineering) The technology for designing steel products such as automobile parts using the ed engineering system has been remarkably advanced, and whether the parts designed on the computer can be actually formed by pressing, or the necessary rigidity and strength are required. You can evaluate whether or not you are doing it without actually making a prototype of the part and testing it.
Software such as EM (Finite Element Method) has been developed.

Most of metal sheets for processing such as steel plates for automobiles are traded based on industrial standards. The industrial standards are yield strength, tensile strength, elongation, and r value depending on the type of material. It defines the permissible range for hole expansion ratio and plate thickness. When the metal plate is used after being subjected to plastic working or the like, the user selects these material data (material parameters), inputs them into the terminal, and performs evaluation and examination by FEM.

As an FEM using CAE, PAM-C is widely used as software for automobile collision experiment.
An example of using RASH is shown in FIG. This PAM-C
In RASH, material data such as plate thickness, density (specific gravity), elastic coefficient, yield function parameter, work hardening rule parameter, strain rate dependence parameter, etc. of a steel plate is input in ASCII format.

FIG. 3 shows a concrete work performed by the user.
Numerical values considered appropriate as the above-mentioned respective material data are sequentially input into the window as shown in FIG. Based on this input, the preprocessor (providing the screen of FIG. 37) automatically creates material data in ASCII format.

[0006]

However, when the user successively inputs each material data as described above, the number of parts in the whole automobile reaches several hundreds (for example, 176 in ULSAB), and each of these parts is different. It is necessary to enter material data in. Therefore, the work of the user is extremely complicated.

Further, depending on the FEM program used,
Since the data format, material composition rule, and required parameters are different, different material databases are required depending on the application. In this case, the types of steel standards are extremely large (about 80 in the standards for steel plates for automobiles of the Japan Iron and Steel Federation), and it is not easy to construct a material database.

As described above, the simulation using the FEM makes it possible to design a steel product without conducting an actual experiment, and a remarkable development of the design technology is expected, but the labor of the user is still troublesome. Moreover, since the material database is incomplete, there are many problems in terms of user convenience.

In view of this, the present invention systematizes the automatic provision of material data to save the user's time and effort for designing metal products as much as possible, and the user can obtain the minimum information about the desired metal material. By inputting, it is possible to automatically obtain the predetermined material data in the desired file format, omitting the management of the material database by the user, greatly improving the convenience of the user, and the desired material data. Material data providing system, material data providing device, which enables to obtain
It is intended to provide a material data providing method, a recording medium, and a program.

[0010]

Means for Solving the Problems As a result of intensive studies, the present inventors have come up with various aspects of the invention described below.

In the material data providing system of the present invention, when designing a metal product, a user terminal that requests a desired material data file and a server that provides the material data file are networked. In the material data providing system, the user terminal responds to the acquisition condition from the server with a first function of transmitting the input desired material data acquisition condition to the server. A second function of receiving the material data file, the server comprising a database composed of a plurality of material data corresponding to various metal materials of the metal product; and the acquisition condition transmitted from the user terminal. And a fourth function for selecting the material data corresponding to the received acquisition condition from the database. And a fifth function of creating the material data file according to the user's request based on the selected material data, and a sixth function of transmitting the created material data file to the user terminal. including.

In the material data providing system of the present invention, when designing a metal product, a user terminal which is a side requesting desired material data and a server which is a side providing the material data are connected via a network. And a database, the server comprising a plurality of material data corresponding to various metal materials of the metal product, and the database in response to a request from the user terminal. A second function of transmitting the desired material data from the database to the user terminal, the user terminal selecting the material data corresponding to the input desired material data acquisition condition from the database. A function, and a third function of creating the material data file according to a user's request based on the selected material data. Including.

The material data providing system of the present invention is a system for providing desired material data when designing a metal product, and is composed of a plurality of material data corresponding to various metal materials of the metal product. And a first function of selecting the material data corresponding to the input desired material data acquisition condition from the database, and based on the selected material data, in accordance with the user's request. And a second function of creating a material data file.

In the material data providing method of the present invention, when designing a metal product, a user terminal that requests a desired material data file and a server that provides the material data file are networked. A method of providing material data using a system connected via a method, comprising: a first step of transmitting the input desired material data acquisition condition to the server; and the acquisition condition transmitted from the user terminal. Is received by the server, and a database configured by a plurality of material data corresponding to various metal materials of metal products is used, and the material data corresponding to the received acquisition condition is received by the server. And a third step of selecting the material data, and based on the selected material data, the material data file according to the user's request is created. 4th step of creating the created material data file, 5th step of sending the created material data file from the server to the user terminal, and receiving the sent material data file at the user terminal And a sixth step.

In the material data providing method of the present invention, when designing a metal product, a user terminal which is a side requesting a desired material data file and a server which is a side providing the material data file are networked. A method for providing material data using a system connected via a server, comprising: a database provided in the server, comprising a plurality of material data corresponding to various metal materials of the metal product, and received. A first step of selecting the material data corresponding to the acquisition condition at the user terminal, and creating the material data file according to the user's request at the user terminal based on the selected material data And a second step of

The material data providing apparatus of the present invention is an apparatus for providing desired material data when designing a metal product, in which the metal material is designated according to an industrial standard.
A database composed of a plurality of material data corresponding to various metal materials, a first function of receiving a desired material data acquisition condition input from the outside, and the material data corresponding to the received acquisition condition. A second function of selecting from the database, a third function of creating the material data file according to a user's request based on the selected material data, and the created material data file to the outside. And a fourth function of transmitting.

The material data providing apparatus of the present invention is an apparatus for acquiring desired material data when designing a metal product, and the material data corresponding to the input desired material data acquisition condition is According to the user's request, the metal material is specified according to the industrial standard, and based on the first function selected from the database composed of a plurality of material data corresponding to various metal materials and the selected material data. And a second function of creating the material data file.

The material data providing apparatus of the present invention is an apparatus for obtaining desired material data when designing a metal product, in which the metal material is designated according to an industrial standard.
A database composed of a plurality of material data corresponding to various metal materials, a first function of selecting the material data corresponding to an input desired material data acquisition condition from the database, and the selected material data And a second function of creating the material data file according to the user's request.

According to the program of the present invention, when designing a metal product, a user terminal that requests a desired material data file and a server that provides the material data file are connected via a network. Using the connected system, a first step of transmitting the input desired material data acquisition condition to the server, and a second step of receiving the acquisition condition transmitted from the user terminal at the server And a third step of selecting the material data corresponding to the received acquisition condition in the server by using a database composed of a plurality of material data corresponding to various metal materials of metal products A fourth step of creating, in the server, the material data file in response to a user's request based on the material data obtained; For causing a computer to execute a fifth step of transmitting the created material data file from the server to the user terminal and a sixth step of receiving the transmitted material data file at the user terminal It is a thing.

The recording medium of the present invention is a computer-readable medium characterized in that the program is recorded.

[0021]

BEST MODE FOR CARRYING OUT THE INVENTION Specific embodiments of the present invention applied to the design of a steel sheet will be described below.

(First Embodiment) FIG. 1 is a schematic diagram showing the overall configuration of a network system of the present embodiment.
In the figure, 100 is a network such as the Internet or an intranet.

Reference numeral 101 denotes a user terminal, which is used to select desired material data using a server computer 102 described later and obtain the material data file. Although only one user terminal 101 is shown in FIG. 1, a plurality of user terminals 101 exist on the network 100.

Reference numeral 102 denotes a server computer equipped with a database 111, which will be described in detail later, but selects material data using the database 111, creates a material data file, and the like in response to an input from the user terminal 101. In this embodiment, the function of the material data providing device according to the present invention is realized by the server computer 102.

FIG. 2 shows an example of the hardware configuration of the server computer 102. 201 is a CPU,
Various components are controlled via the bus 206 for transmitting / receiving data, coupling, and the like. Through the bus 206, address signals, control signals, various data, and the like are mutually transferred between various components.

A ROM 202 stores the control procedure (computer program) of the CPU 201. CPU
When the 201 executes this control procedure, it becomes possible to execute processing such as data transfer and combination. 20
Reference numeral 3 denotes a RAM, which is used as a work memory for transmitting / receiving data, coupling, and the like, and a temporary storage function for controlling various components.

Reference numeral 204 denotes a storage device such as a hard disk storage device, in which a database 111 for accumulating a plurality of material data corresponding to steel materials specified according to a predetermined industrial standard is constructed. Reference numeral 205 is a network interface for connecting to the network 100 such as the Internet.

As shown in FIG. 3, the database 111 has material data corresponding to each steel material, for example, density (specific gravity), elastic modulus, anisotropic yield surface, strain rate as material data (material parameter). (V ₁ , v ₂ , v ₃ ,
The stress-strain curve in (...) is stored. Each stress-strain curve is stored as coordinate data on the stress-strain coordinate plane, and a sequence of points is constructed from the discrete values of each coordinate data, and further, by interpolation by numerical calculation or fitting to an appropriate function. A curve is formed.

FIG. 4 is a block diagram showing an example of the hardware configuration of the user terminal 101. In the figure, 3
Reference numeral 01 denotes a CPU, which controls various components via a bus 308 for transmitting / receiving data, coupling, and the like. Through the bus 308, mutual transfer of address signals, control signals, various data, etc. between various components is performed.

A ROM 302 stores the control procedure (computer program) of the CPU 301. CPU
When the control unit 301 executes this control procedure, it becomes possible to execute processing such as data transfer and combination. Thirty
Reference numeral 3 denotes a RAM, which is used as a work memory for transmitting / receiving data, coupling, and the like, and a temporary storage function for controlling various components.

Reference numeral 304 is a storage device for storage. Reference numeral 305 is a network interface for connecting to the network 100 such as the Internet. An input device 306, such as a keyboard and a mouse, is used to input an electronic document or the like. A display device 307, such as a display, is used to display various screens.

FIG. 5 is a block diagram showing the functional arrangement of the user terminal 101 described above. As shown in the figure, the user terminal 101 includes a user authentication confirmation function 401, a transmission function 402, and a reception function 403.

The user authentication confirmation function 401 confirms whether the user who uses the user terminal 101 of the system is an authorized user. The transmission function 402 transmits the desired material data acquisition condition input by the user to the server, and the reception function 403 is the server computer 10.
From 2, the material data file of the desired format corresponding to the acquisition condition is received.

FIG. 6 shows the server computer 10 described above.
It is a block diagram which shows the function structure of 2. As shown in the figure, the server computer 102 has a database 111.
In addition to the user authentication confirmation function 501, the reception function 502,
It is configured to include a selection function 503, a data file creation function 504, and a transmission function 505.

The user authentication confirmation function 501 confirms whether or not the user is an authorized user of the server computer 102. The reception function 502 receives the acquisition condition transmitted from the transmission function 402 of the user terminal 101.

The selection function 503 selects the material data corresponding to the received acquisition condition from the database 111. Here, each stress-strain curve of the material data is given as a series of points on the coordinate plane as described above, and the curve is formed by interpolation by numerical calculation of the selection function 503 or fitting to an appropriate function. .

The data file creation function 504 creates a material data file in a format according to the user's request, for example, ASCII format or its compression format, based on the material data selected by the selection function 503. The transmission function 505 transmits the material data file created by the data file creation function 504 to the user terminal 101.

Hereinafter, a material data providing method using the system having the above configuration will be described. FIG. 7 is a flowchart showing a method of providing data on a steel material according to this embodiment in the order of steps.

First, it is confirmed whether or not the user is an authorized user who uses the user terminal 101 of the system (step 101). When it is confirmed that the user is an authorized user, the user inputs the desired material data acquisition condition of the steel plate to the user terminal 101 (step 102).
The material data acquisition conditions to be entered are the member number of the steel plate defined by a predetermined industrial standard, the plate thickness of the steel plate, the material standard name defined by the industrial standard, the solver (program) used by the user, and the yield. It is a material model such as a function, work hardening law, speed law, and a unit system of use. Here, as an example of the industrial standard, Table 1 shows the standard of the steel sheet for automobiles of the Japan Iron and Steel Federation.

Here, when it is desired to process a plurality of metal materials used for a plurality of members at once, for example, PDM /
A part of the CAD data or a tabular file created based on the CAD data may be input to the user terminal 101.

[0041]

[Table 1]

Subsequently, the server computer 102 side confirms whether the user is an authorized user who uses the server computer 102 of the system (step 103). Then, when it is confirmed that the user is an authorized user, the input material data acquisition condition is set to the user terminal 10
The data is transmitted from the first side to the server computer 102 side (step 104).

Then, the server computer 102 receives the material data acquisition condition transmitted from the user terminal 101 side (step 105).

Then, the material data corresponding to the received acquisition condition is selected from the database 111.
Since each stress-strain curve in the material data is given as a series of points on the coordinate plane, the curve is formed by interpolation by numerical calculation or fitting to an appropriate function (step 106). Further, as the material data selected from the database 111, representative values are mainly selected. Here, the “representative value” is a value close to the average value in terms of probability.

Then, based on the selected material data, a material data file in a format according to the user's request, for example, ASCII format is created (step 107).
Thereafter, the created material data file is transmitted from the server computer 102 side to the user terminal 101 side (step 8), and this material data file is sent to the user terminal 10
1 is received (step 109).

As described above, according to the steel material data providing system (method) of the present embodiment, the system for automatically providing the material data allows the user to design the metal product. As much as possible, the user can input the minimum amount of information about the desired metal material and automatically obtain the predetermined material data in the desired file format, and manage the material database by the user. Is omitted, the convenience of the user is greatly improved, and desired material data can be obtained extremely efficiently in a short time. As a result, the added value of the steel material is increased, and a highly reliable and quick material data supply service, which is reliable for more users, mainly of steel customers, is realized.

-Modifications-Various modifications of the present embodiment will now be described. These modified examples have substantially the same configuration as the system of the above-described first embodiment, but differ in that the server computer 102 has an inferring function.

(Modification 1) First, Modification 1 will be described. FIG. 8 is a block diagram showing a functional configuration of the server computer 102 described above. Server computer 1
02 includes a user authentication confirmation function 501, a reception function 502, a selection function 503, a formability estimation function 506, a data file creation function 504, and a transmission function 505 in addition to the database 111.
06 estimates the material data of the steel material having the limit of formability within the allowable range of the industrial standard from the material data selected by the selection function 503 according to the user's request.

Hereinafter, a material data providing method using the system having the above configuration will be described. FIG. 9 is a modification example 1.
6 is a flowchart showing the method for providing data on the steel material in the order of steps.

First, it is confirmed whether or not the user is an authorized user who uses the user terminal 101 of the system (step 111). When it is confirmed that the user is an authorized user, the user inputs the material data acquisition condition of the desired steel plate into the user terminal 101 (step 112).
The material data acquisition conditions to be entered are the member number of the steel plate defined by a predetermined industrial standard, the plate thickness of the steel plate, the material standard name defined by the industrial standard, the solver (program) used by the user, and the yield. It is a material model such as a function, work hardening law, speed law, and a unit system of use.

When it is desired to process a plurality of metal materials used for a plurality of members at once, for example, PDM /
A part of the CAD data or a tabular file created based on the CAD data may be input to the user terminal 101.

Subsequently, the server computer 102 side confirms whether the user is an authorized user who uses the server computer 102 of the system (step 113). Then, when it is confirmed that the user is an authorized user, the input material data acquisition condition is set to the user terminal 10
The data is transmitted from the first side to the server computer 102 side (step 114).

Then, the server computer 102 receives the material data acquisition condition transmitted from the user terminal 101 side (step 115).

Subsequently, the material data corresponding to the received acquisition condition is selected from the database 111.
Since each stress-strain curve in the material data is given as a series of points on the coordinate plane, the curve is formed by interpolation by numerical calculation or fitting to an appropriate function (step 116).

Then, from the selected material data, the material data whose formability becomes the limit value within the allowable range of the industrial standard is estimated according to the user's request (step 11).
7). Specifically, the stress-strain curve is converted so that at least one of the plurality of indexes, which is an element for determining whether or not the steel material can be formed, matches the limit value, and the converted stress-strain is obtained. Identify material data based on the curve.

Then, based on the selected material data and the identified material data, a material data file in a format required by the user, for example, ASCII format is created (step 118). After that, the created material data file is transmitted from the server computer 102 side to the user terminal 101 side (step 119), and this material data file is received by the user terminal 101 (step 120).

Here, the main principle of estimating the material data in step 7 by the above-described formability estimating function 506 will be described. When the material to be press-molded is specified according to a predetermined industrial standard, the elongation and hole expansion ratio of the material are generally considered to be the characteristics expressing ductility. The smaller this is, the easier the fracture during processing occurs. . The r value is a characteristic representing deep drawability (a factor that affects the deformation resistance in a multiaxial stress state, and has a characteristic that the larger the value, the greater the deformation resistance against plane strain tensile deformation and biaxial tensile deformation.) The smaller this is, the easier the fracture or wrinkles are. Also, the smaller the plate thickness, the more rupture,
Alternatively, a shape defect due to wrinkles or springback is likely to occur. Therefore, when these allowable ranges are defined as the indexes in the industrial standard, the safety can be evaluated by using the lower limit value as the limit value within the allowable range.

On the other hand, it is known that when the yield strength and the tensile strength of the material are high, a defective shape easily occurs due to wrinkles and spring back. Therefore, when these allowable ranges are defined by the industrial standard, the safety can be evaluated by using the upper limit value as the limit value within the allowable range.

From the above, elongation, r value, hole expansion ratio,
The most safe evaluation is given by the parameter of the material having the comprehensive characteristics such that the plate thickness is the lower limit value of the allowable range, the yield strength, and the tensile strength are the upper limit values of the allowable range.

In the currently used molding simulation software, the r value and the plate thickness are directly input. The hole expansion ratio is not required directly for finite element calculation,
This is used when making a fracture determination based on the simulation results. On the other hand, elongation, yield strength, and tensile strength are generally not directly input as parameters. Instead of these, a parameter representing the relationship between the true stress and the true plastic strain of the material is input.

Specifically, the parameters c, ε ₀ , and n of the above Swift equation are often used. σ = c (ε ₀ + ε _p ) ⁿ where σ and ε _p represent true stress and true plastic strain, respectively. Alternatively, some finite element method software inputs a polygonal line approximating a true stress-true plastic strain curve. In this case, the accuracy of approximation is higher when the broken line is used in a region where the work hardening rate is higher. In any case, since it is determined by fitting the true stress-true plastic strain curve,
It is necessary to know the true stress-true plastic strain curve of the material whose formability is the lower limit.

Here, a specific configuration of step 107 will be described based on the principle of the formability estimation function 506 described above. FIG. 10 is a flow chart showing a specific configuration of step 107, and FIG. 11 is obtained by subjecting a steel plate traded as a material of JSC270E among the various steel plates of the industrial standard shown in Table 1 to a tensile test. It is a characteristic view which shows a nominal stress-nominal strain curve. The properties of this material are shown in Table 2.

[0063]

[Table 2]

Here, in the case where the index is multivariable as in this example, the following method may be used in order to select the optimum representative material from the steel sheets subjected to the tensile test. It is suitable.

As shown in FIG. 12, for example, as in this example, the indices are yield strength, tensile strength, elongation, and r value (r0, r
45, r90), etc., first, raw data of these indexes is acquired for each steel material by the means 11 of the system (step 11). Then, as shown in FIG.
The means 12 standardizes each index using a predetermined reference value, for example, the average value of each index, and then vectorizes these indexes standardized for each steel material (material shown in FIG. 13). For the sake of convenience, only the yield strength and the tensile strength are shown as indexes. Here, for convenience, the index values are not standardized.), The average value μ and the standard deviation σ of each steel material are calculated (step 12). And means 13
Thus, in the standardized vector space spanned by these indexes, a steel material represented by a vector whose distance from the average value is closest is selected as a representative material (step 13). By this selection method, a desired representative material index can be obtained easily and accurately.

According to the above-mentioned industry standard for steel materials, JSC27
The lower limit of r value of 0E is 1.4, and the lower limit of plate thickness is 0.
It is 71 mm. These are the parameters that are directly input to the molding simulation. On the other hand, the lower limit of elongation is 4
The yield strength is 3% and the upper limit of the yield strength is 195 MPa, which are input as parameters indicating the work hardening curve.

Therefore, in the first modification, the formability estimation function 5 is used.
Based on 06, the parameters of the lower limit formability material are estimated as follows. First, in step 121 of FIG.
The nominal stress-nominal strain curve (first stress-strain curve) is converted to a nominal stress-nominal plastic strain curve. Specifically, as shown in FIG. 14, the remainder obtained by removing the elastic strain from the nominal strain is the nominal plastic strain.

Next, at step 122, the steel material is stretched.
Stress and nominal plastic strain
Compress the curve horizontally (a times (however, the elongation of the material
e_bAnd the lower limit of the elongation within the allowable range of the above-mentioned industrial standard
e_b ¹Then, a = e_b ¹/ E _bIs. )) Do. Concrete
Specifically, multiply by (43 / 52.5), as shown in FIG.
It

Next, in step 123, the nominal stress-nominal plastic strain curve compressed in the horizontal direction as described above is vertically expanded (k times (however, the above-mentioned, so that the yield strength of the steel material matches the upper limit. If the yield strength of the material is s _y and the upper limit of the yield strength within the allowable range of the industrial standard is s _y ^u , then k
= A s _y ^u / s _y. )) Do. Specifically, as shown in FIG. 14, it is multiplied by (195/135).

Then, as shown in FIG. 15, step 1
24, the thus obtained nominal stress-nominal plastic strain curve is converted into a true stress-true plastic strain curve (second stress-
Distortion curve).

Further, in step 125, material parameters are determined by fitting the function used in the molding simulation. The value of the material parameter obtained as a result is compared with the value of the material parameter obtained from the original data in Table 2.

Here, an experiment in which a forming simulation is performed using a material parameter (representative material) obtained from the original material test data and a material parameter (lower limit material) satisfying the estimated lower limit value will be described. The result of the representative material is shown in FIG. 16, and the result of the lower limit material is shown in FIG. In the material parameters of the representative material, there is no failure area where there is a high risk of fracture during press forming. On the other hand, in the material parameters of the lower limit material, Failure regions appeared at two places. From this, it is understood that the risk of breakage is high if the value is close to the lower limit data even within the allowable range of the standard. For stable production with this type of material, it is desirable to modify the product shape so as to avoid the above-mentioned risk of fracture. Alternatively, it is necessary to change the type of material and use a material that does not break even if the lower limit material comes.

As described above, according to the modified example 1, in addition to the various effects of the material data providing system (method) according to the first embodiment described above, it is stable against variations in materials within the standard allowable range. It is possible to predict and evaluate whether or not molding is possible, and by taking necessary measures in advance, it becomes easy to avoid a molding defect after the actual production is started.

(Modification 2) Next, Modification 2 of the first embodiment will be described. In the second modification, a system for determining whether or not the moldability is available is disclosed as in the first modification, but instead of using the industrial standard, the lower limit value and the upper limit value of each index are calculated from the distribution of quality variation.

Specifically, first, as in the case of the modified example 1, FIG.
According to steps 11 to 13 of No. 2, an optimum representative material is selected from the steel plates subjected to the tensile test. And
Assuming a normal distribution as shown in FIG. 18 for the quality variation of steel materials, μ−3σ is set as the lower limit for elongation, r value, hole expansion ratio, and plate thickness, and μ + 3σ is set as the upper limit for yield strength and tensile strength. Are adopted respectively. For example, in FIG.
If the index is the yield strength as in the case of Example 8 (JSC270F), the upper limit value is set to μ + 3σ = 157.3 MPa.

Then, steps 112 to 12 in FIG.
Based on 5, it is determined whether or not the steel material can be formed.

As described above, according to the second modification, it is possible to predict and evaluate whether or not molding can be stably performed by assuming a normal distribution for quality variations, and take necessary measures in advance. Thus, it becomes easy to avoid a molding defect after the actual production is started.

(Modification 3) In Modification 3, a system for judging whether or not moldability is present is disclosed as in Modification 1. However, in addition to the industrial standard, the distribution of quality variations is also taken into consideration. Calculate the lower and upper limits of each index.

Specifically, first, as in the modified example 1, FIG.
According to steps 11 to 13 of No. 2, an optimum representative material is selected from the steel plates subjected to the tensile test. continue,
Using industrial standards such as those shown in Table 1, the lower limit (first lower limit) for elongation, r-value, hole expansion ratio, and plate thickness, and the upper limit (first limit) for yield strength and tensile strength are used. Upper limit value of) is used. In addition to this, assuming a normal distribution as shown in FIG. 19 for the quality variation of steel materials, the elongation, the r value, the hole expansion ratio, and the plate thickness are μ− as the lower limit (second lower limit).
3σ is the upper limit for the yield strength and tensile strength (second
.Mu. + 3.sigma.

Then, the more strict limit value, that is, the lower limit value is larger between the first lower limit value and the second lower limit value, and the upper limit value is the first upper limit value and the second upper limit value. Use a smaller value for and. Example of FIG. 19 (JSC270
If the index is the yield strength as in F), the first upper limit value is 175 MPa and the second upper limit value is 157.3 MPa, so the smaller second upper limit value is adopted.

Thereafter, steps 121 to 12 in FIG.
Based on 5, it is determined whether or not the steel material can be formed.

As described above, according to the modified example 3, it is possible to predict and evaluate whether or not molding can be performed more stably by using the industrial standard and the normal distribution of quality variation, and take necessary measures in advance. By taking the steps described above, it becomes easy to avoid a molding defect after the actual production is started.

(Modification 4) Next, Modification 4 of the first embodiment will be described. Variant 4 discloses a system for determining the practical strength of a material.

FIG. 20 shows the server computer 1 described above.
2 is a block diagram showing a functional configuration of 02. FIG. In addition to the database 111, the server computer 102 has a user authentication confirmation function 501, a reception function 502, a selection function 503,
Strength estimation function 507, data file creation function 504,
The strength estimating function 507 is configured to include a transmitting function 505, and the strength estimating function 507 is a steel material whose practical strength is a limit value within the allowable range of the industrial standard in accordance with the user's request from the material data selected by the selecting function 503. Guess the material data of. Here, the practical strength is a practical strength such as collision resistance of a part or a final product manufactured by using a metal plate such as a steel plate partially or entirely.

Hereinafter, a material data providing method using the system having the above configuration will be described. FIG. 21 is a flowchart showing a method for providing data on a steel material of Modification 2 in step order.

First, it is confirmed whether or not the user is an authorized user who uses the user terminal 101 of the system (step 131). When it is confirmed that the user is an authorized user, the user inputs the desired material data acquisition condition of the steel plate to the user terminal 101 (step 132).
The material data acquisition conditions to be entered are the member number of the steel plate defined by a predetermined industrial standard, the plate thickness of the steel plate, the material standard name defined by the industrial standard, the solver (program) used by the user, and the yield. It is a material model such as a function, work hardening law, speed law, and a unit system of use.

When it is desired to process a plurality of metallic materials used for a plurality of members at once, for example, PDM /
A part of the CAD data or a tabular file created based on the CAD data may be input to the user terminal 101.

Subsequently, the server computer 102 side confirms whether the user is an authorized user who uses the server computer 102 of the system (step 133). Then, when it is confirmed that the user is an authorized user, the input material data acquisition condition is set to the user terminal 10
The data is transmitted from the first side to the server computer 102 side (step 134).

Subsequently, the server computer 102 receives the material data acquisition condition transmitted from the user terminal 101 side (step 135).

Then, the material data corresponding to the received acquisition condition is selected from the database 111.
Since each stress-strain curve in the material data is given as a sequence of points on the coordinate plane, the curve is formed by interpolation by numerical calculation or fitting to an appropriate function (step 136).

Then, from the selected material data, the material data whose practical strength is the limit value within the allowable range of the industrial standard is estimated in accordance with the user's request (step 1).
37). Specifically, the stress-strain curve is converted so that at least one of the plurality of indexes that is an element for evaluating the practical strength of the steel material matches the limit value, and the converted stress-strain curve is obtained. Identify material data based on.

Then, based on the selected material data and the identified material data, a material data file in a format according to the user's request, for example, ASCII format is created (step 138). Then, the created material data file is transmitted from the server computer 102 side to the user terminal 101 side (step 139), and this material data file is received by the user terminal 101 (step 140).

Here, the main principle of estimating the material data in step 137 by the strength estimating function 601 will be described. When the steel sheet used for steel products is specified according to a predetermined industrial standard, the yield strength and tensile strength of the steel sheet indicate the deformation resistance of the material, but the smaller this is, the more the strength when used as a structure. Will naturally be smaller.

Elongation is generally considered as an index showing the workability of steel materials, but it also affects the difficulty of collapse when it becomes a structure. Generally, the larger the work hardening,
The growth is large. This is because the greater the work hardening, the less likely it is to collapse due to localized deformation. Therefore, it is safer to evaluate the material characteristics such that the elongation is at the lower limit.

That is, the yield parameter, tensile strength, elongation, and plate thickness have the characteristics that the lower limit value of the allowable range is reached.

In the currently used forming simulation software, the value of the plate thickness is directly input. On the other hand, elongation, yield strength, and tensile strength are generally not directly input as parameters. Instead of these, a parameter representing the relationship between the true stress and the true plastic strain of the material is input.

Specifically, the parameters c, ε ₀ , and n of the above Swift equation are often used. σ = c (ε ₀ + ε _p ) ⁿ where σ and ε _p represent true stress and true plastic strain, respectively. Alternatively, some finite element method software inputs a polygonal line approximating a true stress-true plastic strain curve. In this case, the accuracy of approximation is higher when the broken line is used in a region where the work hardening rate is higher. In any case, since it is determined by fitting the true stress-true plastic strain curve,
It is necessary to know the true stress-true plastic strain curve of the material whose practical strength is the lower limit.

Here, a specific configuration of step 137 will be described based on the principle of the strength estimation function 601 described above. FIG. 22 is a flowchart showing a specific configuration of step 137, and FIG. 23 is obtained by subjecting a steel plate traded as a material of the type JSC270E among the steel plates of the industrial standard shown in Table 1 to a tensile test. It is a characteristic view which shows a nominal stress-nominal strain curve. The properties of this material are as shown in Table 3 above.

[0099]

[Table 3]

According to the above-mentioned industrial standard for steel materials, JSC27
The lower limit of r value of 0E is 1.4, and the lower limit of plate thickness is 0.
It is 75 mm. These are the parameters that are directly input to the strength simulation. On the other hand, the lower limit of elongation is 4
The lower limit of the yield strength is 120 MPa and the lower limit of the tensile strength is 270 MPa, which are input as parameters indicating the work hardening curve.

Therefore, in the second modification, the strength estimation function 60
The parameter of the strength lower limit material is estimated by the method 1 as follows. First, in step 151 of FIG. 22, the nominal stress-nominal strain curve (first stress-strain curve) is converted into a nominal stress-nominal plastic strain curve. Specifically, FIG.
As shown in, the remainder of removing the elastic strain from the nominal strain is the nominal plastic strain.

Next, in step 152, the steel material is stretched.
Stress and nominal plastic strain
Compress the curve horizontally (a times (however,
e_bAnd the lower limit of the elongation within the allowable range of the above-mentioned industrial standard
e_b ¹Then, a = e_b ¹/ E _bIs. )) Do. Concrete
Specifically, as shown in FIG. 24, multiply by (43 / 52.5)
It

Next, in step 153, the nominal stress-nominal plastic strain curve horizontally compressed as described above is vertically compressed (k) so that the yield strength and the tensile strength of the steel meet the lower limits. times (where, k is a function of the nominal plastic strain e, yield strength and s _y of the steel sheet, the industry standard s _y ¹ yield strength of the lower limit of the allowable range of the tensile strength s _u the industry standard tolerance s _u ¹ the lower limit of the tensile strength within the nominal plastic strain giving the tensile strength and ^{_{e u, k = s y 1}} / s y when e = 0, e = When _eu , k = s
_u ¹ / s _u . )) Do. Specifically, as shown in FIG. 24, when the nominal plastic strain value giving the yield strength is (120/135) times, the nominal plastic strain value giving the tensile strength is (270/295) times. A function k of the nominal plastic strain is used. Here, k = 0.101e + 0.889 is used as such a function.

Then, as shown in FIG. 25, step 2
In 4, the nominal stress-nominal plastic strain curve thus obtained is converted into a true stress-true plastic strain curve (second stress-strain curve).

Further, in step 155, the material parameters are determined by fitting the function used in the strength simulation. The value of the material parameter obtained as a result is compared with the value of the material parameter obtained from the original data in Table 2.

Here, an experiment of strength simulation conducted using the material parameter (representative material) obtained from the original material test data and the material parameter (lower limit material) satisfying the estimated lower limit value will be described. Here, FIG.
As shown in, the pressing jig 1 is pressed against the surface of the steel product 2 at a speed of 8 m / s, and the load (k
N) over time and absorbed energy of steel product 2 (J)
Was examined with time. The former is shown in FIG. 27 and the latter is shown in FIG.
Are shown respectively. From the results of FIG. 27 and FIG. 28, it is understood that the bending strength of the lower limit material is lower than that of the representative material.

As described above, according to the modified example 4, in addition to the various effects of the material data providing system (method) according to the first embodiment described above, it is stable against variations in materials within the standard allowable range. Then, it is possible to predict and evaluate whether or not strength can be secured, and by taking necessary measures in advance, it becomes easy to avoid insufficient strength as a product.

Even when the practical strength is judged as in the modified example 4, the lower and upper limits of each index are calculated from the distribution of the quality variation as in the second embodiment, or the industrial strength as in the third embodiment. In addition to the standard, the distribution of quality variations may also be considered to calculate the lower limit value and the upper limit value of each index.

(Second Embodiment) Next, a second embodiment will be described. The overall configuration of the network system of the present embodiment is similar to that of FIG. 1, in that a user terminal 101 and a server computer 102 are connected via a network 100.

In this embodiment, as shown in FIG. 29, the user terminal 101 includes a user authentication confirmation function 601, a selection function 602, a reception function 603, and a data file creation function 604. This user terminal 101
The material data acquisition device of the present invention is constituted by the above.

The user authentication confirmation function 601 confirms whether or not the user is an authorized user of the user terminal 101. The selection function 602 selects material data corresponding to the acquisition condition from the database 111 on the server computer 102 side based on the desired material data acquisition condition input by the user. Here, each stress-strain curve in the material data is given as a sequence of points on the coordinate plane as described above, and the curve is formed by interpolation by numerical calculation of the selection function 602 or fitting to an appropriate function. .

The reception function 603 receives the material data selected by the selection function 602 from the transmission function 702 on the server computer 102 side. The data file creation function 604 creates a material data file in a format according to a user's request, for example, an ASCII format, based on the material data received by the reception function 603.

On the other hand, the server computer 102 is shown in FIG.
0, the database 111 (FIG. 3) constructed in the storage device 204 is provided, and its functional configuration is as follows.
It has a user authentication confirmation function 701 and a transmission function 702.

The user authentication confirmation function 701 confirms whether or not the user who uses the server computer 102 of the system is an authorized user. The transmission function 702 is
The material data selected by the selection function 602 on the user terminal 101 side is transmitted to the reception function 603 on the user terminal 101 side.

Hereinafter, a method for providing material data using the system having the above-described structure will be described. FIG. 31 is a flowchart showing a method of providing data on a steel material according to this embodiment in the order of steps.

First, it is confirmed whether or not the user is an authorized user who uses the user terminal 101 of the system (step 201). When it is confirmed that the user is an authorized user, the user inputs the desired material data acquisition condition of the steel plate into the user terminal 101 (step 202).
The material data acquisition conditions to be input are the member number of the steel plate defined by a predetermined industrial standard (see Table 1), the plate thickness of the steel plate, the material standard name defined by the industrial standard, and the solver used by the user. (Program), yield function, work hardening law, usage material model such as speed law, and usage unit system.

When it is desired to process a plurality of metal materials used for a plurality of members at once, for example, PDM /
A part of the CAD data or a tabular file created based on the CAD data may be input to the user terminal 101.

Then, it is confirmed whether or not the user who has accessed the database 111 on the server computer 102 side is an authorized user who uses the server computer 102 (step 203).

When it is confirmed that the user is an authorized user, the user terminal 101 side selects the material data corresponding to the input acquisition conditions from the database 111. Since each stress-strain curve in the material data is given as a series of points on the coordinate plane, the curve is formed by interpolation by numerical calculation or fitting to an appropriate function (step 204).

Also, as the material data selected from the database 111, representative values are mainly selected.
Here, the “representative value” is a value close to the average value in terms of probability.

Then, based on the selected material data, the format according to the user's request on the user terminal 101 side,
For example, a material data file in ASCII format or the like is created (step 205).

As described above, according to the steel material data providing system (method) of the present embodiment, by automatically providing the material data systematically, it is possible for the user to design a metal product. As much as possible, the user can input the minimum amount of information about the desired metal material and automatically obtain the predetermined material data in the desired file format, and manage the material database by the user. Is omitted, the convenience of the user is greatly improved, and desired material data can be obtained extremely efficiently in a short time. As a result, the added value of the steel material is increased, and a highly reliable and quick material data supply service, which is reliable for more users, mainly of steel customers, is realized.

As in the first embodiment, this embodiment also has a formability estimation function or strength estimation function added to the system as a modification so that the formability or practical strength is within the allowable range of the industrial standard. You may comprise so that the material data of the steel material used as a limit value may be estimated. It is also preferable to use the distribution of quality variation instead of using the industrial standard, or to consider the distribution of quality variation in addition to the industrial standard to calculate the lower limit value and the upper limit value of each index. . However, in these cases, Modifications 1 to 4 of the first embodiment
Unlike the above, the formability estimation function or the strength estimation function is added to the user terminal 101 side.

(Third Embodiment) Next, a third embodiment will be described. FIG. 32 is a schematic diagram showing the overall configuration of the material data providing system of this embodiment. As shown in the figure, the system of the present embodiment does not have the server computer as in the first and second embodiments shown in FIG. 1, but is a CD-ROM that stores a user terminal 101 and a database 111. It is configured as a stand-alone including a recording medium 103 such as a ROM.

In this embodiment, as shown in FIG. 33, the user terminal 101 includes a user authentication confirmation function 801, a selection function 802, and a data file creation function 803. The user terminal 101 constitutes the material data acquisition device of the present invention.

The user authentication confirmation function 801 confirms whether or not the user is an authorized user of the user terminal 101. The selection function 802 selects material data corresponding to the acquisition condition from the database 111 of the recording medium 103 based on the desired material data acquisition condition input by the user. Here, each stress-strain curve in the material data is given as a series of points on the coordinate plane as described above, and the curve is formed by interpolation by numerical calculation of the selection function 802 or fitting to an appropriate function. .

The data file creation function 803 creates a material data file in a format according to the user's request, for example, in ASCII format, based on the material data selected by the selection function 802.

Hereinafter, a material data providing method using the system having the above configuration will be described. FIG. 34 is a flow chart showing the method for providing data on the steel material of the present embodiment in the order of steps.

First, it is confirmed whether or not the user is an authorized user who uses the user terminal 101 of the system (step 301). When it is confirmed that the user is an authorized user, the user inputs the desired material data acquisition condition of the steel plate into the user terminal 101 (step 302).
The material data acquisition conditions to be input are the member number of the steel plate defined by a predetermined industrial standard (see Table 1), the plate thickness of the steel plate, the material standard name defined by the industrial standard, and the solver used by the user. (Program), yield function, work hardening law, usage material model such as speed law, and usage unit system.

When it is desired to process a plurality of metal materials used for a plurality of members at once, for example, PDM /
A part of the CAD data or a tabular file created based on the CAD data may be input to the user terminal 101.

Then, the material data corresponding to the input acquisition condition is selected from the database 111.
Since each stress-strain curve in the material data is given as a series of points on the coordinate plane, the curve is formed by interpolation by numerical calculation or fitting to an appropriate function (step 303).

As the material data selected from the database 111, representative values are mainly selected.
Here, the “representative value” is a value close to the average value in terms of probability.

Then, based on the selected material data, a material data file in a format according to the user's request, for example, ASCII format is created (step 304).

As described above, according to the steel material data providing system (method) of the present embodiment, the system for automatically providing the material data allows the user to design the metal product with less trouble. As much as possible, the user can input the minimum amount of information about the desired metal material and automatically obtain the predetermined material data in the desired file format, and manage the material database by the user. Is omitted, the convenience of the user is greatly improved, and desired material data can be obtained extremely efficiently in a short time. As a result, the added value of the steel material is increased, and a highly reliable and quick material data supply service, which is reliable for more users, mainly of steel customers, is realized.

Furthermore, since the system is constructed in a stand-alone form, communication equipment and communication costs are unnecessary,
High-speed processing is possible without being affected by the communication line.

Also in the present embodiment, as in the first embodiment, a formability estimation function or a strength estimation function is added to the system as a modified example, and the formability or the practical strength falls within the allowable range of the industrial standard. It may be configured so as to estimate the material data of the steel material. It is also preferable to use the distribution of quality variation instead of using the industrial standard, or to consider the distribution of quality variation in addition to the industrial standard to calculate the lower limit value and the upper limit value of each index. . However, in these cases, unlike the modifications 1 to 4 of the first embodiment, the formability estimation function or the strength estimation function has the user terminal 10
It is added to the 1 side.

The functions constituting the material data providing system and the steps constituting the material data providing method according to the first and second embodiments and the modifications described above are stored in the RAM or ROM of the computer. It can be realized by operating the stored program. This program and a computer-readable recording medium recording the program are included in the embodiments of the present invention.

Specifically, the program is, for example, a CD
-Recorded in a recording medium such as a ROM, or provided to a computer via various transmission media. As the recording medium for recording the program, a flexible disk, a hard disk, a magnetic tape, a magneto-optical disk, a non-volatile memory card, or the like can be used in addition to the CD-ROM. On the other hand, as a transmission medium of the above-mentioned program, a communication medium (a wired line such as an optical fiber or the like) in a computer network (LAN, WAN such as Internet, wireless communication network, etc.) system for propagating and supplying program information as a carrier wave Wireless line) can be used.

Moreover, not only the functions of the above-described embodiments are realized by executing the supplied program by the computer, but also the OS (operating system) or other application software running the program on the computer. In the case where the functions of the above-described embodiments are realized in cooperation with the above, or all or part of the processing of the supplied program is performed by the function expansion board or function expansion unit of the computer, the functions of the above-described embodiments are realized However, such a program is also included in the embodiment of the present invention.

For example, FIG. 35 is a schematic diagram showing the internal structure of a general personal user terminal device. This Figure 3
5, reference numeral 1200 is a computer PC. PC
The 1200 includes a CPU 1201 and is stored in a ROM 1202 or a hard disk (HD) 1211 or a flexible disk drive (FD) 1212.
The device control software supplied from the computer is executed to collectively control each device connected to the system bus 1204.

CPU 1201 and RO of the PC 1200
The program stored in the M1202 or the hard disk (HD) 1211 realizes the function of each unit such as the units 1 to 5 of the present embodiment and the procedure of Steps 1 to 5 and the like.

[0142]

According to the present invention, by automatically providing the material data systematically, the labor of the user who designs the metal product can be saved as much as possible, and the user can minimize the metal material desired. It is possible to automatically obtain the specified material data in the desired file format simply by inputting the information of the above, while omitting the management of the material database by the user, greatly improving the convenience of the user, and It becomes possible to obtain the material data of 1. very efficiently in a short time.

Furthermore, when the material to be press-molded is specified according to a predetermined industrial standard, for example, the material parameter that is the limit value that is the least workable is estimated, and this is used to predict and evaluate the formability. By doing so, it is possible to accurately predict and evaluate whether stable molding can be performed against material variations within the standard allowable range, and by taking necessary measures in advance, actual production will start. It is possible to avoid the molding failure after the above-described pressing and easily and reliably perform highly reliable press molding.

Further, when a steel sheet used for steel products is designated according to a predetermined industrial standard, for example, a material parameter having a limit value that is the most inferior in strength characteristics is estimated, and this is used to predict and evaluate practical strength. By doing so, it is possible to accurately predict and evaluate whether it is possible to stably secure strength against material variations within the standard allowable range, and by taking necessary measures in advance, the strength of the product It becomes possible to avoid shortages and easily and reliably carry out highly reliable steel products.

[Brief description of drawings]

FIG. 1 is a schematic diagram showing an overall configuration of a network system according to a first embodiment.

FIG. 2 is a schematic diagram showing an example of a hardware configuration of a server computer 102.

FIG. 3 is a schematic diagram showing each material data constituting the database.

FIG. 4 is a block diagram showing an example of a hardware configuration of a user terminal.

FIG. 5 is a block diagram showing a functional configuration of a user terminal.

FIG. 6 is a block diagram showing a functional configuration of a server computer.

FIG. 7 is a flowchart showing a method for providing data on a steel material according to the first embodiment in order of steps.

FIG. 8 is a block diagram showing a functional configuration of a server computer.

FIG. 9 is a flowchart showing a method of providing data on a steel material of Modification 1 in order of steps.

FIG. 10 is a flowchart showing a specific configuration of a formability estimation step.

FIG. 11 is a characteristic diagram showing a nominal stress-nominal strain curve obtained by subjecting a predetermined steel sheet to a tensile test.

FIG. 12 is a flow chart showing a method of selecting an optimum representative material from among the steel sheets subjected to the tensile test.

FIG. 13 is a vector space diagram showing a state in which each index is vectorized by taking yield strength and tensile strength as examples.

FIG. 14 is a characteristic diagram showing a nominal stress-nominal plastic strain curve.

FIG. 15 is a characteristic diagram showing a true stress-true plastic strain curve of a steel sheet used in a forming simulation.

FIG. 16 is a characteristic diagram showing results of material parameters of a representative material in a molding simulation experiment.

FIG. 17 is a characteristic diagram showing the results of the material parameters of the lower limit material in the molding simulation experiment.

FIG. 18 is a characteristic diagram showing a normal distribution of quality variations in the second modification.

FIG. 19 is a characteristic diagram showing a normal distribution of quality variations in Modification 3;

FIG. 20 is a block diagram showing a functional configuration of a server computer.

FIG. 21 is a flowchart showing a method of providing data on a steel material of Modification 4 in step order.

FIG. 22 is a flowchart showing a specific configuration of a strength estimation step.

FIG. 23 is a characteristic diagram showing a nominal stress-nominal strain curve obtained by subjecting a predetermined steel sheet to a tensile test.

FIG. 24 is a characteristic diagram showing a nominal stress-nominal plastic strain curve.

FIG. 25 is a characteristic diagram showing a true stress-true plastic strain curve of a steel plate subjected to a strength simulation.

FIG. 26 is a schematic view showing a state of an experiment of strength simulation.

FIG. 27 is a characteristic diagram showing a change over time in a load applied to a steel product in a strength simulation experiment.

FIG. 28 is a characteristic diagram showing changes over time in absorbed energy of a steel product in a strength simulation experiment.

FIG. 29 is a block diagram showing a schematic configuration of a user terminal according to the second embodiment.

FIG. 30 is a block diagram showing a schematic configuration of a server computer according to a second embodiment.

FIG. 31 is a flow chart showing a method of providing data on a steel material according to the second embodiment in step order.

FIG. 32 is a schematic diagram showing an overall configuration of a material data providing system of a third embodiment.

FIG. 33 is a block diagram showing a schematic configuration of a server computer according to a third embodiment.

FIG. 34 is a flow chart showing a method for providing data on a steel material according to a third embodiment in order of steps.

FIG. 35 is a schematic diagram showing an internal configuration of a general personal user terminal device.

FIG. 36: FEM of CAE using PAM-CRASH
It is a schematic diagram which shows an example.

FIG. 37 is a schematic diagram showing a state in which numerical values considered appropriate as the above-mentioned respective material data are sequentially input to the window.

[Explanation of symbols]

1 Pushing jig 2 Steel product 100 Network 101 User terminal 102 Server computer 103 Recording medium 111 Database 401, 501, 601, 701, 801 User authentication confirmation function 402, 505, 702 Transmission function 403, 502, 603 Reception function 503, 602 , 802 Selection function 504, 604, 803 Data file creation function 506 Formability estimation function 507 Strength estimation function

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Koji Sakuma             1 Kimitsu, Kimitsu-shi Mr. Nippon Steel Corporation             Tsu Steel Works (72) Inventor Shigeru Yonemura             1 Kimitsu, Kimitsu-shi Mr. Nippon Steel Corporation             Tsu Steel Works F-term (reference) 5B046 AA04 CA06 DA01 JA07 KA05

Claims (110)

[Claims] 1. When designing a metal product, a user terminal that requests a desired material data file and a server that provides the material data file are connected to each other via a network. A material data providing system, wherein the user terminal receives a first function of inputting desired material data acquisition conditions to the server, and receives the material data file corresponding to the acquisition conditions from the server. A third function of receiving the acquisition condition transmitted from the user terminal, the database including a plurality of material data corresponding to various metal materials of the metal product. A fourth function of selecting the material data corresponding to the received acquisition condition from the database, and the selected material data. Based on the above, a fifth function of creating the material data file according to a user's request, and a sixth function of transmitting the created material data file to the user terminal, Data provision system. 2. The material data providing system according to claim 1, wherein the metal material is specified according to an industrial standard. 3. The material data providing system according to claim 2, wherein each of the material data constituting the database is a representative value within an allowable range of the industrial standard. 4. From the material data selected by the fourth function, the material data of the metal material having a limit value of formability within the allowable range of the industrial standard is inferred according to a user's request. 4. The method according to claim 2, further comprising a seventh function to perform, the fifth function creates the material data file according to a user's request based on the estimated material data. Material data providing system. 5. From the material data selected by the fourth function, the material data, which has a formability that is a limit value calculated from a distribution of quality variation of the metal material, is estimated according to a user's request. The material data according to claim 1, further comprising a seventh function, wherein the fifth function creates the material data file according to a user's request based on the estimated material data. Offer system. 6. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 5. The material data providing system according to Item 5. 7. From the material data selected by the fourth function, the formability has a first limit value within the allowable range of the industrial standard and a quality variation of the metal material according to a user's request. The second limit value calculated from the distribution of
The material data according to claim 2 or 3, further comprising a function of, and the fifth function creates the material data file in response to a user's request based on the estimated material data. Offer system. 8. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing system according to claim 7. 9. The index for evaluating the formability is elongation, r value, hole expansion ratio, and plate thickness of the metal material, and at least one of these is a lower limit value as the limit value. The material data providing system according to claim 4, wherein the material data providing system is provided. 10. The plurality of indicators is an elongation of the material,
In addition to the r value, the hole expansion ratio, and the plate thickness, the yield strength and the tensile strength of the material, wherein at least one of the yield strength and the tensile strength is the upper limit value as the limit value. The material data providing system according to claim 9, wherein the material data providing system is provided. 11. The fourth function includes a function of selecting a representative material having a plurality of indexes for evaluating the formability, and the function of selecting the representative material has a plurality of the indexes as predetermined criteria. Normalize using values and vectorize them, calculate an average vector of a plurality of materials with different values of the standardized index, and with the average vector in a vector space stretched by the plurality of standardized indices The material data providing system according to any one of claims 4 to 10, wherein a material represented by a vector having a closest distance is used as the representative material. 12. From the material data selected by the fourth function, the material data of the metal material whose practical strength is a limit value within the allowable range of the industrial standard is inferred according to a user's request. 4. The method according to claim 2, further comprising a seventh function to perform, the fifth function creates the material data file according to a user's request based on the estimated material data. Material data providing system. 13. From the material data selected by the fourth function, the material data, which has a practical strength that is a limit value calculated from a distribution of quality variation of the metal material, is estimated in response to a user request. The seventh function is further included, and the fifth function creates the material data file according to a user's request based on the estimated material data. Material data providing system. 14. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 13. The material data providing system according to Item 13. 15. From the material data selected by the fourth function, a practical strength is calculated according to a user's request.
Of the first limit value within the allowable range of the industrial standard and the second limit value calculated from the distribution of the quality variation of the metal material, a seventh function of estimating the material data having a strict value is provided. The material data providing system according to claim 2 or 3, further comprising: based on the estimated material data, the fifth function creates the material data file in response to a user's request. 16. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing system according to claim 15. 17. The index for evaluating the practical strength is the thickness, yield strength and tensile strength of the metal material, and at least one of the plate thickness and the yield strength and tensile strength is the The material data providing system according to any one of claims 12 to 16, wherein the limit value is a lower limit value. 18. The plurality of indicators are the thickness, yield strength and tensile strength of the metal material, and the elongation and r value of the metal material, and at least one of the elongation and r value is the The material data providing system according to claim 17, wherein the limit value is a lower limit value. 19. The fourth function includes a function of selecting a representative material having a plurality of indexes for evaluating the practical strength, and the function of selecting the representative material uses a plurality of the indexes as predetermined criteria. Normalize using values and vectorize them, calculate an average vector of a plurality of materials with different values of the standardized index, and with the average vector in a vector space stretched by the plurality of standardized indices The material data providing system according to any one of claims 12 to 18, wherein a material represented by a vector having a closest distance is used as the representative material. 20. Material data in which a user terminal that is a side requesting desired material data and a server that is a side providing the material data are connected via a network when designing a metal product. In the providing system, the server includes a database configured by a plurality of material data corresponding to various metal materials of the metal product, and the desired material data from the database in response to a request from the user terminal. A first function of transmitting to the user terminal, the user terminal selecting the material data corresponding to the input desired material data acquisition condition from the database, and the selected function. And a third function of creating the material data file according to a user's request based on the material data. Data provision system. 21. The material data providing system according to claim 20, wherein the metal material is specified according to an industrial standard. 22. The material data providing system according to claim 21, wherein each of the material data constituting the database is a representative value within an allowable range of the industrial standard. 23. From the material data selected by the second function, the material data of the metal material whose formability becomes a limit value within the allowable range of the industrial standard is inferred according to a user's request. 23. A fourth function for performing the same, wherein the third function creates the material data file according to a user's request based on the estimated material data. Material data providing system. 24. From the material data selected by the second function, the material data whose formability is a limit value calculated from a distribution of quality variation of the metal material is estimated according to a user's request. 21. The material data according to claim 20, further comprising a fourth function, wherein the third function creates the material data file according to a user's request based on the estimated material data. Offer system. 25. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 24. The material data providing system according to Item 24. 26. From the material data selected by the second function, according to a user's request, the formability has a first limit value within the allowable range of the industrial standard and a quality variation of the metal material. Further includes a fourth function of estimating the material data having a strict value out of the second limit value calculated from the distribution of, and based on the estimated material data, the third function is performed by the user. 23. The material data providing system according to claim 21 or 22, wherein the material data file is created according to the request of the above. 27. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing system according to claim 26. 28. The index for evaluating the formability is elongation, r value, hole expansion ratio, and plate thickness of the metal material, and at least one of these is a lower limit value as the limit value. 28. The material data providing system according to claim 20, wherein the material data providing system is provided. 29. The plurality of indicators is an elongation of the material,
In addition to the r value, the hole expansion ratio, and the plate thickness, the yield strength and the tensile strength of the material, wherein at least one of the yield strength and the tensile strength is the upper limit value as the limit value. 29. The material data providing system according to claim 28. 30. The second function includes a function of selecting a representative material having a plurality of indexes for evaluating the formability, and the function of selecting the representative material has a plurality of the indexes as predetermined criteria. Normalize using values and vectorize them, calculate an average vector of a plurality of materials with different values of the standardized index, and with the average vector in a vector space stretched by the plurality of standardized indices The material data providing system according to any one of claims 20 to 29, wherein a material represented by a vector having a closest distance is used as the representative material. 31. From the material data selected by the second function, the material data of the metal material having a practical strength of a lower limit value within a permissible range of the industrial standard is inferred according to a user's request. 21. The material according to claim 20, further comprising a fourth function for executing the material data file, wherein the third function creates the material data file according to a user's request based on the estimated material data. Data provision system. 32. From the material data selected by the second function, the material data, which is a limit value of the practical strength calculated from the distribution of quality variation of the metal material, is estimated in response to a user's request. The third function further includes a fourth function, and the third function creates the material data file according to a user's request based on the estimated material data. Material data providing system. 33. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 32. The material data providing system according to Item 32. 34. From the material data selected by the second function, a practical strength is calculated according to a user's request.
Of the first limit value within the allowable range of the industrial standard and the second limit value calculated from the distribution of the quality variation of the metal material, a fourth function of estimating the material data having a strict value is provided. 23. The material data providing system according to claim 21 or 22, further comprising: based on the estimated material data, the third function creates the material data file in response to a user's request. 35. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing system according to claim 34. 36. The index for evaluating the practical strength is the thickness, yield strength and tensile strength of the metal material, and at least one of the plate thickness and the yield strength and tensile strength is the 36. The material data providing system according to claim 31, wherein the limit value is a lower limit value. 37. In addition to the thickness, the yield strength and the tensile strength of the metal material, the plurality of indices are the elongation and the r value of the metal material, and at least the elongation and the r value of the metal material. 37. The material data providing system according to claim 36, wherein one of the limit values is a lower limit value. 38. A system for providing desired material data when designing a metal product, comprising a database composed of a plurality of material data corresponding to various metal materials of the metal product, and inputting the same. A first function of selecting the material data corresponding to the selected desired material data acquisition condition from the database; and a first function of creating the material data file according to a user's request based on the selected material data. 2. A material data providing system including two functions. 39. The material data providing system according to claim 38, wherein the metallic material is specified according to an industrial standard. 40. The material data providing system according to claim 39, wherein each of the material data constituting the database is a representative value within an allowable range of the industrial standard. 41. From the material data selected by the first function, the material data of the metal material having a limit value of formability within an allowable range of the industrial standard is inferred in accordance with a user's request. 39. The material according to claim 38, further comprising a third function for performing the material data file, wherein the second function creates the material data file according to a user's request based on the estimated material data. Data provision system. 42. From the material data selected by the first function, the material data of the metal material whose formability reaches a limit value within the allowable range of the industrial standard is inferred according to a user's request. 41. The third function according to claim 39, wherein the second function creates the material data file according to a user's request based on the estimated material data. Material data providing system. 43. From the material data selected by the first function, the material data whose formability is a limit value calculated from a distribution of quality variation of the metal material is estimated according to a user's request. The material data according to claim 38, further comprising a third function, wherein the second function creates the material data file according to a user's request based on the estimated material data. Offer system. 44. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 43. The material data providing system according to Item 43. 45. From the material data selected by the first function, according to a user's request, the formability has a first limit value within the allowable range of the industrial standard and a quality variation of the metal material. The second function further includes a third function of estimating the material data having a strict value out of the second limit value calculated from the distribution, and the second function is based on the estimated material data. The material data providing system according to claim 39 or 40, wherein the material data file is created in accordance with the request of (1). 46. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing system according to claim 45. 47. The index for evaluating the formability is elongation, r value, hole expansion ratio, and plate thickness of the metal material, and at least one of these is a lower limit value as the limit value. The material data providing system according to any one of claims 41 to 46, which is characterized. 48. The plurality of indicators is an elongation of the material,
In addition to the r value, the hole expansion ratio, and the plate thickness, the yield strength and the tensile strength of the material, wherein at least one of the yield strength and the tensile strength is the upper limit value as the limit value. The material data providing system according to claim 47, which is characterized in that. 49. The first function includes a function of selecting a representative material having a plurality of indexes for evaluating the formability, and the function of selecting the representative material has a plurality of the indexes as predetermined criteria. Normalize using values and vectorize them, calculate an average vector of a plurality of materials with different values of the standardized index, and with the average vector in a vector space stretched by the plurality of standardized indices The material data providing system according to any one of claims 39 to 48, wherein a material represented by a vector having a closest distance is used as the representative material. 50. From the material data selected by the first function, the material data of the metal material having a practical strength of a lower limit value within a permissible range of the industrial standard is inferred according to a user's request. 41. The third function according to claim 39, wherein the second function creates the material data file according to a user's request based on the estimated material data. Material data providing system. 51. From the material data selected by the first function, the material data, which has a practical strength as a limit value calculated from a distribution of quality variation of the metal material, is estimated in response to a user's request. The material data according to claim 38, further comprising a third function, wherein the second function creates the material data file according to a user's request based on the estimated material data. Offer system. 52. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 51. The material data providing system according to Item 51. 53. From the material data selected by the first function, a practical strength is calculated according to a user's request.
Of the first limit value within the allowable range of the industrial standard and the second limit value calculated from the distribution of the quality variation of the metal material, a third function of estimating the material data having a strict value is provided. 39. The material data providing system according to claim 38, further comprising: based on the estimated material data, the second function creates the material data file in response to a user's request. 54. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing system according to claim 53. 55. The index for evaluating the practical strength is the thickness, yield strength and tensile strength of the metal material, and at least one of the plate thickness and the yield strength and tensile strength is the 55. The material data providing system according to claim 50, wherein the limit value is a lower limit value. 56. In addition to the thickness, the yield strength and the tensile strength of the metal material, the plurality of indices are the elongation and the r value of the metal material, and at least the elongation and the r value of the metal material. 56. The material data providing system according to claim 55, wherein one of the limit values is a lower limit value. 57. The first function includes a function of selecting a representative material having a plurality of indexes for evaluating the practical strength, and the function of selecting the representative material has a plurality of the indexes as predetermined criteria. Normalize using values and vectorize them, calculate an average vector of a plurality of materials with different values of the standardized index, and with the average vector in a vector space stretched by the plurality of standardized indices 57. The material data providing system according to claim 50, wherein a material represented by a vector having the shortest distance is used as the representative material. 58. When designing a metal product, a user terminal that requests a desired material data file and a server that provides the material data file are connected to each other via a network. A method of providing material data using a system, comprising: a first step of transmitting input desired material data acquisition conditions to the server; and the server receiving the acquisition conditions transmitted from the user terminal. A second step and a third step of selecting the material data corresponding to the received acquisition condition in the server by using a database composed of a plurality of material data corresponding to various metal materials of metal products And a fourth step of creating the material data file according to the user's request on the server based on the selected material data. A step, a fifth step of transmitting the created material data file from the server to the user terminal, and a sixth step of receiving the transmitted material data file at the user terminal. A method for providing characteristic material data. 59. The material data providing method according to claim 58, wherein the metal material is specified according to an industrial standard. 60. The material data providing method according to claim 59, wherein each of the material data constituting the database is a representative value within the allowable range of the industrial standard. 61. From the material data selected in the third step, the material data of the metallic material having a limit value of formability within an allowable range of the industrial standard is inferred according to a user's request. 61. The material data file according to a user's request is created by the fourth step based on the inferred material data. The method for providing the described material data. 62. From the material data selected in the third step, the material data whose formability is a limit value calculated from a distribution of quality variation of the metal material is estimated according to a user's request. 59. The material according to claim 58, further comprising a seventh step, wherein the fourth step creates the material data file according to a user's request based on the estimated material data. Data provision method. 63. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 62. A material data providing method according to Item 62. 64. From the material data selected in the third step, the formability has a first limit value within a permissible range of the industrial standard and a quality variation of the metal material according to a user's request. Further comprising a seventh step of estimating the material data of the metal material having a strict value out of the second limit value calculated from the distribution of the fourth limit based on the estimated material data. The material data providing method according to claim 59 or 60, characterized in that the material data file is created in accordance with the request of the user. 65. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing method according to claim 64. 66. In the third step, a representative material having a plurality of indexes for evaluating the formability is selected, and when the representative material is selected, a plurality of the indexes are respectively used with predetermined reference values. Normalize and vectorize these, calculate an average vector of a plurality of materials with different normalized index values, and have the closest distance to the average vector in the vector space spanned by the multiple normalized indexes. 66. The material data providing method according to claim 58, wherein a material represented by a vector is used as the representative material. 67. From the material data selected in the third step, the material data of the metal material whose practical strength is a limit value within an allowable range of the industrial standard is inferred according to a user's request. 59. The material data file according to claim 4, wherein the material data file is created according to the user's request by the fourth step based on the estimated material data. Material data provision method. 68. From the material data selected in the third step, the material data, which is a limit value for practical strength calculated from a distribution of quality variation of the metal material, is estimated according to a user's request. 59. The material according to claim 58, further comprising a seventh step, wherein the fourth step creates the material data file according to a user's request based on the estimated material data. Data provision method. 69. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 68. The material data providing method according to Item 68. 70. From the material data selected in the third step, the practical strength is the first limit value within the allowable range of the industrial standard and the quality variation of the metal material according to the user's request. Further comprising a seventh step of estimating the material data of the metal material having a strict value out of the second limit value calculated from the distribution of the fourth limit based on the estimated material data. 59. The material data providing method according to claim 58, wherein the material data file is created according to the user's request by the step of. 71. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing method according to claim 70. 72. In the third step, a representative material having a plurality of indexes for evaluating the practical strength is selected, and when the representative material is selected, a plurality of the indexes are respectively used with predetermined reference values. Normalize and vectorize these, calculate an average vector of a plurality of materials with different normalized index values, and have the closest distance to the average vector in the vector space spanned by the multiple normalized indexes. The material data providing method according to any one of claims 67 to 71, wherein a material represented by a vector is used as the representative material. 73. When designing a metal product, a user terminal that requests a desired material data file and a server that provides the material data file are connected via a network. A method for providing material data using a system, wherein the database provided in the server and configured with a plurality of material data corresponding to various metal materials of the metal product is used, and the database corresponding to the received acquisition condition is used. A first step of selecting material data at the user terminal, and a second step of creating the material data file at the user terminal in response to a user's request based on the selected material data. A method for providing material data, comprising: 74. The material data providing method according to claim 73, wherein the metal material is specified according to an industrial standard. 75. The material data providing method according to claim 74, wherein each of the material data constituting the database is a representative value within an allowable range of the industrial standard. 76. From the material data selected in the first step, the material data of the metallic material having a limit value of formability within an allowable range of the industrial standard is inferred according to a user's request. 77. The method according to claim 74 or 75, further comprising a third step of: The method for providing the described material data. 77. From the material data selected in the first step, the material data whose formability is a limit value calculated from a distribution of quality variation of the metal material is estimated in response to a user's request. The material according to claim 73, further comprising a third step, wherein the second step creates the material data file according to a user's request based on the estimated material data. Data provision method. 78. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 77. The material data providing method according to Item 77. 79. From the material data selected in the first step, the formability has a first limit value within the allowable range of the industrial standard and a quality variation of the metal material according to a user's request. And a second step of estimating the material data of the metal material having a strict value out of the second limit value calculated from the distribution of the second limit value, and the second step based on the estimated material data. The material data providing method according to claim 74 or 75, wherein the material data file is created according to the user's request by the step of. 80. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing method according to claim 79. 81. In the first step, a representative material having a plurality of indexes for evaluating the formability is selected, and when the representative material is selected, a plurality of the indexes are respectively used with a predetermined reference value. Normalize and vectorize these, calculate an average vector of a plurality of materials with different normalized index values, and have the closest distance to the average vector in the vector space spanned by the multiple normalized indexes. The material data providing method according to any one of claims 73 to 80, wherein a material represented by a vector is used as the representative material. 82. From the material data selected in the first step, infer the material data of the metal material whose practical strength is a limit value within an allowable range of the industrial standard, in response to a user request. 77. The method according to claim 74 or 75, further comprising a third step of: The method for providing the described material data. 83. From the material data selected in the first step, the material data, which has a practical strength that is a limit value calculated from a distribution of quality variation of the metal material, is estimated in response to a user request. The material according to claim 73, further comprising a third step, wherein the second step creates the material data file according to a user's request based on the estimated material data. Data provision method. 84. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 83. A material data providing method according to Item 83. 85. From the material data selected in the first step, the practical strength is the first limit value within the allowable range of the industrial standard and the quality variation of the metal material according to the user's request. And a second step of estimating the material data of the metal material having a strict value out of the second limit value calculated from the distribution of the second limit value, and the second step based on the estimated material data. The material data providing method according to claim 74 or 75, wherein the material data file is created according to the user's request by the step of. 86. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. 86. The material data providing method according to claim 85. 87. In the first step, a representative material having a plurality of indexes for evaluating the practical strength is selected, and when the representative material is selected, a plurality of the indexes are respectively used with predetermined reference values. Normalize and vectorize these, calculate an average vector of a plurality of materials with different normalized index values, and have the closest distance to the average vector in the vector space spanned by the multiple normalized indexes. 86. The material data providing method according to claim 82, wherein a material represented by a vector is used as the representative material. 88. A material data providing method using a system for providing desired material data when designing a metal product, comprising a plurality of material data corresponding to various metal materials of the metal product. Using the database, the first step of selecting the material data corresponding to the received acquisition condition at the user terminal, and the material data according to the user's request based on the selected material data A second step of creating a file at the user terminal, the material data providing method. 89. The material data providing method according to claim 88, wherein the metal material is specified according to an industrial standard. 90. The material data providing method according to claim 89, wherein each of the material data constituting the database is a representative value within the allowable range of the industrial standard. 91. From the material data selected in the first step, the material data of the metal material having a limit of formability within an allowable range of the industrial standard is inferred according to a user's request. 91. The method according to claim 89 or 90, further comprising a third step of: performing the second step to create the material data file according to a user's request, based on the estimated material data. The method for providing the described material data. 92. From the material data selected in the first step, the material data having a formability that is a limit value calculated from a distribution of quality variation of the metal material is estimated according to a user's request. 89. The material according to claim 88, further comprising a third step, wherein the second step creates the material data file according to a user's request based on the inferred material data. Data provision method. 93. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 92. The material data providing method according to Item 92. 94. From the material data selected in the first step, the formability has a first limit value within a permissible range of the industrial standard and a quality variation of the metal material according to a user's request. And a second step of estimating the material data of the metal material having a strict value out of the second limit value calculated from the distribution of the second limit value, and the second step based on the estimated material data. The material data providing method according to claim 89 or 90, characterized in that the material data file is created in accordance with the request of the user. 95. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. The material data providing method according to claim 94. 96. In the first step, a representative material having a plurality of indexes for evaluating the formability is selected, and when the representative material is selected, each of the plurality of indexes uses a predetermined reference value. Normalize and vectorize these, calculate an average vector of a plurality of materials with different normalized index values, and have the closest distance to the average vector in the vector space spanned by the multiple normalized indexes. The material data providing method according to claim 88, wherein a material represented by a vector is used as the representative material. 97. From the material data selected in the first step, the material data of the metal material having a practical strength that is a limit value within an allowable range of the industrial standard is inferred according to a user's request. 91. The method according to claim 89 or 90, further comprising a third step of: performing the second step to create the material data file according to a user's request, based on the estimated material data. The method for providing the described material data. 98. From the material data selected in the first step, the material data having a formability that is a limit value calculated from a distribution of quality variation of the metal material is estimated according to a user's request. 89. The material according to claim 88, further comprising a third step, wherein the second step creates the material data file according to a user's request based on the inferred material data. Data provision method. 99. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the limit value is μ ± kσ. Item 98. The material data providing method according to Item 98. 100. From the material data selected in the first step, a practical strength is a first limit value within a permissible range of the industrial standard and a quality variation of the metal material according to a user's request. Second calculated from the distribution of
Further comprising a third step of estimating the material data of the metal material that becomes a strict value among the limit values of, and the second step based on the estimated material data, and the user's request. 91. The material data providing method according to claim 89 or 90, wherein the material data file is created according to the above. 101. The distribution is a normal distribution, the average value of the quality variation is μ, the standard deviation is σ, k is a real number of 0 or more, and the second limit value is μ ± kσ. 101. The material data providing method according to claim 100. 102. In the first step, a representative material having a plurality of indexes for evaluating the practical strength is selected, and when the representative material is selected, a plurality of the indexes are respectively used with predetermined reference values. Normalize and vectorize these, calculate an average vector of a plurality of materials with different normalized index values, and have the closest distance to the average vector in the vector space spanned by the multiple normalized indexes. The material data providing method according to any one of claims 97 to 101, wherein a material represented by a vector is used as the representative material. 103. An apparatus for providing desired material data when designing a metal product, wherein the metal material is designated according to an industrial standard, and is constituted by a plurality of material data corresponding to various metal materials. A database, a first function of receiving a desired material data acquisition condition input from the outside, a second function of selecting the material data corresponding to the received acquisition condition from the database, And a third function of creating the material data file according to a user's request based on the material data, and a fourth function of transmitting the created material data file to the outside. Material data providing device. 104. An apparatus for acquiring desired material data when designing a metal product, wherein the metal material specifies the material data corresponding to the input desired material data acquisition condition according to an industrial standard. The first function of selecting from a database composed of a plurality of material data corresponding to various metal materials, and the material data file according to the user's request is created based on the selected material data. And a second function for performing the material data acquisition device. 105. A device for obtaining desired material data when designing a metal product, wherein the metal material is designated according to an industrial standard, and is constituted by a plurality of material data corresponding to various metal materials. Database, a first function of selecting the material data corresponding to the input desired material data acquisition condition from the database, and the material data according to the user's request based on the selected material data A material data acquisition device comprising a second function of creating a file. 106. A user terminal, which is a side requesting a desired material data file when designing a metal product,
A first step of transmitting the input desired material data acquisition condition to the server using a system in which a server that is a side that provides the material data file is connected via a network, and the user terminal The second step of receiving the acquisition condition transmitted from the server at the server, and the database configured by a plurality of material data corresponding to various metal materials of metal products are used to correspond to the received acquisition condition. A third step of selecting the material data in the server, and a fourth step of creating the material data file in the server in response to a user's request based on the selected material data. A fifth step of transmitting the transmitted material data file from the server to the user terminal, and the transmitted material data file. Program for executing a sixth step of receiving the file at the user terminal to the computer. 107. From the material data selected in the third step, the material data of the metal material having a limit value of formability within an allowable range of the industrial standard is inferred according to a user's request. 107. The method according to claim 106, further comprising a seventh step of: performing the fourth step to create the material data file according to a user's request, based on the estimated material data. program. 108. From the material data selected in the third step, the material data whose formability is a limit value calculated from a distribution of quality variation of the metal material is estimated according to a user's request. 107. The program according to claim 106, further comprising a seventh step, wherein the material data file according to the user's request is created by the fourth step based on the estimated material data. . 109. From the material data selected in the third step, the formability has a first limit value within the allowable range of the industrial standard and a quality variation of the metal material according to a user's request. Further comprising a seventh step of estimating the material data of the metal material having a strict value out of the second limit value calculated from the distribution of the fourth limit based on the estimated material data. 107. The program according to claim 106, wherein the material data file is created according to a user's request by the step of. 110. The method according to any one of claims 106 to 109.
A computer-readable recording medium on which the program according to the item is recorded.