JP2000222440A - System and method for optimizing component weight and computer-readable recording medium recording a program for implementing the method for optimizing component weight - Google Patents

Abstract

(57) [Summary] [PROBLEMS] To provide a component lightweight optimization system capable of efficiently designing lightweight components mainly for home electric appliances. A component weight optimization system (10) includes a shape input unit (1) for inputting shape data of a component to be analyzed.
2 and an analysis condition definition unit 14 for defining analysis conditions
And a storage unit 16 for storing the shape data input by the shape input unit 12, the analysis conditions defined by the analysis condition definition unit 14, and the calculation results during the analysis, and the shape data stored in the storage unit 16. On the other hand, by performing a dynamic nonlinear analysis so as to minimize the weight of the part to be analyzed while satisfying the analysis conditions stored in the storage unit 16, the thickness of each part of the part to be analyzed is determined. And a sheet thickness optimizing unit 20.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to dynamic (shock) in the design of home electric appliances (hereinafter referred to as "home electric appliances").
The present invention relates to a thickness optimization system based on strength analysis, and in particular, a system and method for optimizing a thickness in consideration of a drop impact in the design of a thin sheet product, and a computer-readable recording program for implementing the method. It relates to a possible recording medium.

[0002]

2. Description of the Related Art Many home electric appliances are composed of various electric circuits, which are the heart of the electric appliances, and an external housing for protecting them. The external housing needs to be designed to have sufficient strength to protect internal electric components and the like and prevent a user from touching the internal electric circuit and the like. However, if the strength is increased more than necessary, resources are wasted and the production cost of the product increases.

[0003] Therefore, an "optimized design system for a thin plate-shaped product" described in JP-A-5-16193 and a "device for optimizing design data output of a thin-plate product" described in JP-A-5-38841. For example, techniques for optimizing the thickness of a thin product have been proposed.

In these inventions, static stress, displacement, etc., generated by applying a load to each part of an initially designed product are measured, and the thickness and material of the material are set so as to fall within predetermined reference values. The rigidity has been optimized.

[0005] Further, in the case of home electric appliances, problems such as dropping of a product during use and dropping of a product due to handling during transportation are assumed. In such a case, the housing must be designed so that the product is not damaged.

Therefore, conventionally, a drop test is performed on a mold product in product design, and the plate thickness and the like are determined based on the results.

[0007]

However, in the inventions described in JP-A-5-16193 and JP-A-5-38841, only the static strength (tension, bending, torsion) can be handled. Only. Therefore, it is not possible to perform optimization in consideration of strength characteristics occurring at a high speed, such as dropping and impact of a product.

Further, when a test is performed on a drop or impact using a mold product, if a problem occurs, it is necessary to change the mold. Therefore, there is a possibility that product development will be delayed. Attempts to avoid such problems can lead to over-designing that is unnecessarily safe.

SUMMARY OF THE INVENTION Therefore, an object of the present invention is to make it possible to conduct a dynamic strength study such as a dropping of a product, which could not be considered until after the completion of a mold, from an early stage of design. Provided is a strength design analysis system capable of efficiently designing lightweight parts of a thin plate such as a body, a method therefor, and a computer-readable recording medium recording a program for realizing the method. With that purpose.

[0010]

According to a first aspect of the present invention, there is provided a component lightweight optimization system for inputting shape data of a component to be analyzed, and a shape input unit for defining analysis conditions. Analysis condition definition means, shape data input by the shape input means, storage means for storing the analysis conditions defined by the analysis condition definition means and calculation results during the analysis, and shape data stored in the storage means. On the other hand, by performing a dynamic nonlinear analysis so as to minimize the weight of the part to be analyzed while satisfying the analysis conditions stored in the storage means, it is possible to determine the thickness of each part of the part to be analyzed. Optimum sheet thickness determining means.

According to a second aspect of the present invention, in addition to the configuration of the first aspect of the present invention, in addition to the configuration of the first aspect of the present invention, each part of the component to be analyzed determined by the optimum thickness determining means is provided. Output means for outputting the plate thickness is further included.

According to a third aspect of the present invention, there is provided a system for optimizing the weight of a component, wherein the optimum thickness determining means performs a dynamic nonlinear strength analysis of the component. Dynamic nonlinear analysis means for obtaining time series data of stress of each part of the part, and time series for obtaining a new stress distribution of the part based on the time series data of stress obtained by the dynamic nonlinear analysis means Based on the sensitivity information obtained by the data processing means, the sensitivity distribution obtained by analyzing the sensitivity of the stress distribution of each part of the part to the change in the thickness of each part of the part to obtain the sensitivity information, Numerical optimization means for obtaining the thickness of each part of the part that minimizes the weight of the part by changing the thickness of each part of the part within a range that satisfies the constraint conditions included in the analysis conditions, and a numerical optimization method Completion of processing or creation of new analysis data for dynamic non-linear analysis processing using the obtained thickness value, depending on whether the thickness value obtained by the above satisfies the predetermined condition And a design changing unit for selectively executing any of the processes given to the dynamic nonlinear analysis unit.

According to a fourth aspect of the present invention, there is provided a system for optimizing the weight of a component, wherein the time-series data processing means is provided with a dynamic nonlinear analysis means. A stress distribution creating means for creating a new stress distribution by extracting the maximum stress for each element of the component to be analyzed from the series data, and a component to be analyzed based on the stress distribution given by the stress distribution creating means. And a part dividing means for dividing the part into a predetermined number of parts.

According to a fifth aspect of the present invention, there is provided a method for optimizing the weight of a part, which optimizes the thickness of the part to be analyzed by using a computer including an input device, a storage device, and an arithmetic processing unit. A lightweight optimization method for parts,
A shape input step of inputting shape data of a component to be analyzed using an input device, an analysis condition definition step of defining analysis conditions using the input device, a shape data input by the shape input step, and an analysis condition definition step A storage step of storing the analysis conditions and the calculation results during the analysis defined in the storage device in the storage device, and analyzing the shape data stored in the storage device while satisfying the analysis conditions stored in the storage device. Determining the thickness of each part of the component to be analyzed by controlling the arithmetic processing unit to perform dynamic nonlinear analysis so that the weight of the component is minimized.

According to a sixth aspect of the present invention, there is provided a method for optimizing the weight of a component, in addition to the configuration of the fifth aspect,
The computer further includes an output device, and further includes an output step of outputting, by the output device, the thickness of each part of the component to be analyzed, which is determined in the optimum thickness determination step.

According to a seventh aspect of the present invention, there is provided a method for optimizing the weight of a component in addition to the configuration of the sixth aspect of the invention.
The optimal thickness determination step includes a dynamic nonlinear analysis step of performing a dynamic nonlinear strength analysis of the component to obtain time series data of the stress of each part of the component, and a time series data of the stress obtained by the dynamic nonlinear analysis step. A time series data processing step of obtaining a new stress distribution of the part based on the sensitivity analysis step of obtaining sensitivity information by analyzing the sensitivity of the stress distribution of each part of the part to a change in the thickness of each part of the part; Based on the sensitivity information obtained in the analysis step, a numerical value for calculating the thickness of each part of the part that minimizes the weight of the part by changing the thickness of each part of the part within a range that satisfies the constraints included in the analysis conditions Optimizing step, the processing is completed or determined according to whether the value of the sheet thickness determined by the numerical optimization step satisfies a predetermined condition. And a design change step for performing any of the to create a new analysis data in the dynamic non-linear analysis using the values of thickness gives the dynamic non-linear analysis step process selectively.

According to the eighth aspect of the present invention, there is provided a method for optimizing the weight of a component in addition to the configuration of the seventh aspect of the invention.
The time series data processing step includes a stress distribution creation step of creating a new stress distribution by extracting a maximum stress for each element of the part to be analyzed from the time series data given by the dynamic nonlinear analysis step, A part dividing step of dividing the part to be analyzed into a predetermined number of parts based on the stress distribution given by the creating step.

According to a ninth aspect of the present invention, there is provided a computer-readable recording medium for optimizing the thickness of a component to be analyzed using a computer including an input device, a storage device, and an arithmetic processing device. A computer-readable recording medium on which a program for realizing a lightweight optimization method for a part is recorded.The method includes a shape input step of inputting shape data of a part to be analyzed using an input device. An analysis condition definition step of defining analysis conditions using an input device; and a storage step of storing shape data input in the shape input step, analysis conditions defined in the analysis condition definition step, and a calculation result during analysis in a storage device. With respect to the shape data stored in the storage device, while satisfying the analysis conditions stored in the storage device, As the weight is minimized by performing the dynamic non-linear analysis and controls the processing unit, and a best thickness determining step of determining the thickness of each part of the component to be analyzed.

According to a tenth aspect of the present invention, in addition to the configuration of the ninth aspect of the present invention, the computer further includes an output device, and the method for optimizing the weight of parts is optimized. An output step of outputting, by an output device, the thickness of each part of the component to be analyzed, which is determined in the thickness determination step.

According to an eleventh aspect of the present invention, in the computer readable recording medium according to the tenth aspect of the present invention, in addition to the configuration of the tenth aspect, the optimum thickness determination step performs a dynamic nonlinear strength analysis of the part. A dynamic non-linear analysis step for obtaining time-series data of the stress of each part of the part, and a time-series data processing step for obtaining a new stress distribution of the part based on the time-series data of the stress obtained in the dynamic non-linear analysis step. , A sensitivity analysis step of analyzing the sensitivity of the stress distribution of each part of the part to a change in the thickness of each part of the part to obtain sensitivity information, and a constraint included in the analysis conditions based on the sensitivity information obtained in the sensitivity analysis step. Numerical optimization step to find the thickness of each part of the part to minimize the weight of the part by changing the thickness of each part of the part within the range that satisfies the conditions Depending on whether the value of the sheet thickness obtained by the numerical optimization step satisfies a predetermined condition, the processing is completed or a new analysis of a dynamic nonlinear analysis process using the obtained sheet thickness value is performed. And a design change step of selectively executing one of a process of creating data and giving the data to the dynamic nonlinear analysis step.

According to a twelfth aspect of the present invention, in the computer readable recording medium according to the eleventh aspect, in addition to the configuration of the eleventh aspect, the time series data processing step includes a time series data processing step provided by a dynamic nonlinear analysis step. Based on the stress distribution creation step of creating a new stress distribution by extracting the maximum stress for each element of the analysis target component from the data and the stress distribution given by the stress distribution creation step, the analysis target component is determined in advance. And a part dividing step of dividing the number of parts into a given number of parts.

[0022]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Referring to FIG. 1, a lightweight optimization system 10 according to one embodiment of the present invention is for analyzing a thin plate structure by dynamic nonlinear analysis. A shape input unit 12 for inputting shape data of product parts, and a mesh (element) for analysis based on the data, and conditions (boundary conditions, constraint conditions, initial conditions) required for performing the analysis. Analysis condition definition unit 1 for defining analysis conditions (speed, contact conditions, material properties, etc.)
4, a storage unit 16 for storing analysis model data created in this way, analysis results described later, and data such as various calculation results in the middle, and an output unit for outputting the analysis results in some predetermined format. 18 and a thickness optimizing unit 20 for performing a dynamic nonlinear analysis, which will be described later, on the analysis model data stored in the storage unit 16 to determine the optimum thickness of the component under predetermined conditions. In the following embodiments, “shape data” includes physical property data of a component to be analyzed, for example, values such as a yield stress value and a specific gravity.

The storage unit 16 includes a design data storage unit 30 for storing the shape data of the parts input by the shape input unit 12 and the analysis conditions defined by the analysis condition definition unit 14 as described above, An analysis result storage unit 32 for storing a result of calculation by the optimization unit 20 and providing a final result to the output unit 18;

The sheet thickness optimizing unit 20 includes a design data storage unit 3
A dynamic non-linear analysis unit for performing a dynamic non-linear analysis on the design data stored in the non-linear analysis unit to obtain a time-series stress distribution of each unit; and a time-series stress obtained by the dynamic non-linear analysis unit. The maximum stress is extracted for each element from the distribution data, a new stress distribution is created for each part, and based on the stress distribution, the housing of the home appliance to be analyzed is placed in a small area ("Part ), And design variables (variables such as plate thickness and size of each part) for all the parts obtained by the time-series data processing unit 42. Based on the sensitivity analysis unit 44 for obtaining the degree of influence on the stress when the minute change is made (this is referred to as “sensitivity” of the design variable with respect to the stress distribution), and the sensitivity information obtained by the sensitivity analysis unit 44, Design Reducing the design variables within constraints of the design which is stored in the data storage unit 30 or increase, figures for performing the minimization of the weight of the product optimization unit 2
2, a design data change unit 24 for creating new dynamic nonlinear analysis data based on the design variable values obtained by the numerical optimization unit 22, and a plate thickness optimization unit (not shown in FIG. 1). And a control unit for controlling an operation sequence of each unit in the control unit 20.

The time-series data processing unit 42 extracts the maximum stress for each element from the time-series stress distribution data obtained by the dynamic nonlinear analysis unit 40, and creates a stress distribution for newly creating the stress distribution of the part. A part 50 and an automatic part dividing unit 52 for dividing a part into parts based on the stress distribution data created by the stress distribution creating unit 50.

In practice, the system described in FIG. FIG. 2 shows a general configuration, and FIG. 3 shows its appearance, which are realized by a computer 130 and a program executed on the computer 130, respectively.

Referring to FIG. 2, computer 130 includes:
A general CPU (C
(entral Processing Unit) 132, a main storage device (memory) 138 that functions as the storage unit 16 and stores a program executed by the CPU 132, and provides a user input function of the shape input unit 12 and the analysis condition definition unit 14. Keyboard 136 and mouse 134
A monitor 148 functioning as the output unit 18; a printer 146 also functioning as the output unit 18;
6 and a FD (flexible disk) 150 for storing the contents and programs of the hard disk 6 in a nonvolatile manner
FD drive 1 for inputting and outputting data to and from
42 and a CD-ROM (Compact Disc Read-Only Memor
y) A CD-ROM drive 144 for reading data from 152 and a network interface 154 for connecting the computer 130 to a network. These are all interconnected by a bus. In the figure, the input / output interface is not shown for simplicity.

As shown in FIG. 3, the CPU 132, the memory 138, the fixed disk 140, the FD drive 14
2. The CD-ROM drive 144 and the network interface 154 are all housed in the main body housing 158 in the apparatus of this embodiment. For example, the fixed disk 140, the FD drive 142, the CD-RO
The M drive 144 and the like need not always be included.

A program for performing the above-described processing for realizing the lightweight optimization system according to the present embodiment is recorded on, for example, the FD 150 and is temporarily recorded on the fixed disk 140 via the FD drive 142. This program is loaded from the fixed disk 140 to the memory 138 and executed by the CPU 132, thereby realizing the above-described lightweight optimization system. During execution of the program, data is stored in memory 138 or on fixed disk 140.

The program may be stored in CD-ROM 152, read by CD-ROM drive 144, and stored in fixed disk 140. Or CD-
CPU loaded directly from ROM 152 to memory 138
132 may be performed.

The medium in which the program is stored on the fixed disk 140 or directly loaded into the memory 138 is not limited to the FD 150 and the CD-ROM 152. For example, a program stored in a host computer on the network may be directly loaded into the memory 138 and executed via the network interface 154 and the network. That is, the “computer-readable recording medium” in the present invention includes a medium such as a network.

Since the principle of operation of computer 130 is well known, the details of the operation of computer 130 will not be repeated here any further.

A program for realizing the lightweight optimization system and method according to the present embodiment, which is executed by the computer 130 whose hardware structure is shown in FIGS. 2 and 3, has the following control structure. The function of each block shown in FIG. 1 is realized by each block in this flowchart, and by the control structure described here,
The control unit described above is realized.

Referring to FIG. 4, first, a part shape to be used for dynamic nonlinear analysis is input (step 1. Hereinafter, "step" is simply described as "S"). Next, a mesh (element) for analysis is created for the input parts, and the conditions (boundary conditions, constraints, constraints, initial speed, contact conditions, material properties) necessary for analyzing this data are set. To create an analysis model and store it in a memory (S2).

Next, an initial dynamic non-linear analysis is performed using the design data stored in the memory (S3) to obtain an initial time-series stress distribution. Regarding this time-series stress distribution, time-series data processing is performed to extract the maximum stress value for all elements and create a new stress distribution (S4).
Using the stress value of the stress distribution obtained in this way,
The part to be analyzed (may be an assembly) is automatically divided into N parts by dividing it into small areas (S5). The number of divisions (N) is determined in advance in consideration of required analysis accuracy, allowable processing time, and the like.

Next, the design variables are slightly changed (S6).
A dynamic nonlinear analysis is performed based on the changed design variables (S7), and time series data processing similar to S4 is performed on the output time series stress distribution (S8).

Next, in S9, it is determined whether or not the processing of S6 to S8 has been performed for all design variables, and if not performed for all design variables, the process returns to S6 again and other processing is still performed. The processing of S6 to S8 is performed by changing the design variables that have not been changed. When the processes in S6 to S8 have been performed for all design variables, the control proceeds to S10.

In S10, the sensitivity analysis of the stress distribution for each design variable is performed based on the information on the change in the stress distribution at the time of a minute change for all the design variables obtained in the processing of S6 to S9. Based on the sensitivity analysis result thus obtained, the thickness of each part is determined according to the purpose while minimizing the weight of the part to be analyzed according to the purpose while keeping the stress of each part below the reference value (restriction condition) (S11). ).

Next, it is determined whether or not the obtained thickness values of the respective parts have converged (S12). If the values have converged, the result is output to a monitor or a printer.
The result may be output to a file on the hard disk according to a user's instruction, or the result may be transmitted to another host via a network. If the plate thickness value has not converged, the analysis model is updated using the result obtained in S11 (S14), control is returned to S3 again, and the above-described processing is repeated. Here, “convergence” refers to, for example, a case where the absolute value of the difference between the sheet thickness value obtained by the previous calculation and the sheet thickness value obtained by the current calculation is within a predetermined range. . Alternatively, the process may be terminated when an appropriate condition is satisfied.

Using the system of the above embodiment, 1
The analysis results performed on the front cabinet of the 4-inch television receiver will be described below. FIGS. 5 and 6 are analysis models of a 14-inch television receiver created using the shape input unit 12 and the analysis condition definition unit 14 shown in FIG. Referring to FIG. 5, this model is a case where four corners of a television receiver including a front cabinet 200, a rear cabinet 202, and a cathode ray tube 206 are packed in cardboard boxes via cushioning members 204 made of foamed styrene. It is assumed. In the following example, the thickness of the front cabinet 200 is optimized. The yield stress value of the material of the front cabinet 200 is 3.0 kgf / mm.
²

Referring to FIG. 6, a printed circuit board 210, a cooling plate 212 fixed on the printed circuit board 210, and a transformer 214 are provided inside the television receiver.
And the tuner 216 are arranged.

First, a dynamic nonlinear analysis process is performed using this analysis model to obtain an initial stress distribution. In this example, the maximum stress value at the time of the initial analysis is 1.4 kgf / mm.
² , which is about 50% of the yield stress value. In other words, the initial plate thickness is too thick and is over-designed.

Based on the result, the front cabinet is divided into six parts (N = 6). As a result, the front cabinet is almost automatically divided into parts on both sides, cathode ray tube mounting reinforcing ribs, bottom, printed circuit board supporting ribs, front and top. This is the process performed by the automatic part dividing unit 52.

Next, the maximum stress of the front cabinet 200 is set to a reference value (in this example, the reference value =
It was set to 2.6 kgf / mm ² . ) The process of obtaining the thickness of each part is repeatedly performed so as to minimize the weight while keeping the weight below (restriction condition). FIG. 7 shows the transition of each part as a result of the calculation. Referring to FIG. 7, the horizontal axis represents the number of repetitions of calculation, and the vertical axis represents the plate thickness of each part. In FIG. 7, the broken line 230 is the plate thickness on both sides of the front cabinet 200, the broken line 232 is the plate thickness of the reinforcement rib for mounting the cathode ray tube, the broken line 234 is the bottom plate thickness, the broken line 236 is the thickness of the printed circuit board supporting rib, and the broken line 238.
Indicates the thickness of the front surface, and the broken line 240 indicates the thickness of the upper surface.

As shown in FIG. 7, the initial plate thickness was set to 1.7 mm in each part. However, when the optimum plate thickness was calculated by the above-described system, it was found that the plate thickness of the ribs for mounting the cathode ray tube was increased to 2.8 mm except that the plate thickness was increased to 2.8 mm.
mm, 1.5 mm, 1.6 mm, 1.2 mm, and 1.1 mm. Finally, the weight of the front cabinet 200 can be reduced by about 30% from 650 g to 450 g.

As described above, by using the system and the method of the present invention, it is possible to efficiently reduce the weight of components represented by the housing of home electric appliances. Since the dynamic nonlinear analysis is performed, the optimization analysis for a dynamic nonlinear problem such as a drop and an impact which could not be performed conventionally can be efficiently performed. Therefore, in the product design, the dynamic strength can be examined from the early stage of the design, such as the impact of the product dropping or improper load handling, without using a mold product. A defective portion or an over-designed portion can be detected at an early stage, and the design can be performed efficiently.

The embodiments disclosed this time are to be considered in all respects as illustrative and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

[Brief description of the drawings]

FIG. 1 is a functional block diagram showing a configuration of a home appliance lightweight optimization system according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating a hardware configuration of a computer that implements the home appliance lightweight optimization system according to the embodiment of the present invention.

FIG. 3 is a diagram illustrating an appearance of the computer illustrated in FIG. 2;

FIG. 4 is a flowchart showing a control structure of a program executed by the computer system shown in FIGS. 2 and 3, thereby realizing the functions of the system shown in FIG. 1;

FIG. 5 is a diagram showing an analysis model of a 14-inch television to be analyzed by the lightweight optimization system whose structure is shown in FIGS. 1 to 4;

6 is a diagram showing an analysis model of a 14-inch television to be analyzed by the lightweight optimization system whose structure is shown in FIGS. 1 to 4. FIG.

FIG. 7 is a transition diagram of the plate thickness of an analysis model of a 14-inch television when analyzed by the lightweight optimization system whose structure is shown in FIGS. 1 to 4;

[Explanation of symbols]

 Reference Signs List 10 Light weight optimization system for parts 12 Shape input unit 14 Analysis condition definition unit 16 Storage unit 18 Output unit 20 Plate thickness optimization unit 22 Numerical optimization unit 24 Design data change unit 30 Design data storage unit 40 Dynamic nonlinear analysis unit 42 Time series data processing unit 44 Sensitivity analysis unit 50 Stress distribution creation unit 52 Part automatic division unit

Claims (12)

[Claims] 1. Shape input means for inputting shape data of a part to be analyzed, analysis condition definition means for defining analysis conditions, shape data input by the shape input means, analysis condition definition Storage means for storing the analysis conditions defined by the means and calculation results during the analysis; and for the shape data stored in the storage means, the analysis object while satisfying the analysis conditions stored in the storage means. An optimal thickness determining means for determining a thickness of each part of the component to be analyzed by performing a dynamic nonlinear analysis so that the weight of the component is minimized. 2. The component optimization system according to claim 1, further comprising output means for outputting the thickness of each part of the component to be analyzed, determined by the optimum thickness determination means. 3. The optimum thickness determining means includes: a dynamic nonlinear analysis means for performing a dynamic nonlinear strength analysis of a part to obtain time series data of stress of each part of the part; A time-series data processing unit for obtaining a new stress distribution of the component based on the obtained time-series data of stress; and a sensitivity of a stress distribution of each part of the component to a change in a plate thickness of each part of the component. Sensitivity analysis means for analyzing the sensitivity information, and, based on the sensitivity information obtained by the sensitivity analysis means, change the thickness of each part of the component within a range that satisfies the constraint conditions included in the analysis conditions. Numerical value optimizing means for determining the thickness of each part of the component that minimizes the weight of the component by causing the component to satisfies a predetermined condition. Depending on whether or not the processing is completed or processing for creating new analysis data for dynamic nonlinear analysis processing using the obtained thickness value and giving the data to the dynamic nonlinear analysis means. 3. The component optimization system according to claim 2, further comprising: a design change unit configured to selectively execute the operation. 4. The time series data processing means creates a new stress distribution by extracting the maximum stress for each element of the part to be analyzed from the time series data given from the dynamic nonlinear analysis means. 4. A stress distribution generating means for generating a part to be analyzed into a predetermined number of parts based on the stress distribution given by the stress distribution generating means. Lightweight optimization system for parts. 5. A lightweight component optimization method for optimizing the thickness of a component to be analyzed using a computer including an input device, a storage device, and an arithmetic processing device, the method comprising: A shape input step of inputting shape data of a component to be analyzed, an analysis condition defining step of defining an analysis condition using the input device, and a shape data input in the shape input step and the analysis condition defining step. A storage step of storing the defined analysis conditions and a calculation result during the analysis in the storage device; and analyzing the shape data stored in the storage device while satisfying the analysis conditions stored in the storage device. By performing the dynamic nonlinear analysis by controlling the arithmetic processing unit so that the weight of the part is minimized, the plate of each part of the part to be analyzed is Optimal thickness and a determination step, weight optimization method of the component determined. 6. The computer further comprising an output device, further comprising an output step of outputting, by the output device, the thickness of each part of the part to be analyzed, which is determined in the optimal thickness determination step. 5. The method for optimizing the weight of a component according to 5. 7. The optimal thickness determination step is performed by a dynamic nonlinear analysis step of performing a dynamic nonlinear strength analysis of a component to obtain time-series data of stress of each part of the component, and a dynamic nonlinear analysis step. Time-series data processing step of obtaining a new stress distribution of the part based on the time-series data of the stress, and analyzing the sensitivity of the stress distribution of each part of the part to a change in the thickness of each part of the part. A sensitivity analysis step of obtaining sensitivity information; and, based on the sensitivity information obtained by the sensitivity analysis step, changing the thickness of each part of the component within a range that satisfies the constraint conditions included in the analysis conditions, thereby obtaining a weight of the component. Numerical optimization step for obtaining the thickness of each part of the component that minimizes, the value of the thickness obtained by the numerical optimization step is a predetermined condition Either the end of the process or the process of creating new analysis data for the dynamic nonlinear analysis process using the obtained thickness value and giving the data to the dynamic nonlinear analysis step according to whether or not the condition is satisfied. And a design change step of selectively performing the above-mentioned steps. 8. The time-series data processing step includes: extracting a maximum stress for each element of a component to be analyzed from the time-series data given by the dynamic nonlinear analysis step to generate a new stress distribution. 8. The lightweight optimization of a component according to claim 7, comprising: a distribution creating step; and a part dividing step of dividing a part to be analyzed into a predetermined number of parts based on the stress distribution given by the stress distribution creating step. Method. 9. A program for realizing a component weight optimization method for optimizing the thickness of a component to be analyzed using a computer including an input device, a storage device, and an arithmetic processing device is recorded. A computer-readable recording medium, wherein the method comprises: a shape input step of inputting shape data of a component to be analyzed using the input device; and an analysis condition definition for defining analysis conditions using the input device. Storing the shape data input in the shape input step, the analysis condition defined in the analysis condition definition step, and the calculation result during the analysis in the storage device; and the shape stored in the storage device. For the data, the weight of the component to be analyzed is minimized while satisfying the analysis conditions stored in the storage device. By controlling the calculation processing unit performs a dynamic nonlinear analysis, and a best thickness determining step of determining the thickness of each part of the analysis target component, computer-readable recording medium. 10. The computer further includes an output device, wherein the method further comprises an output step of outputting, by the output device, the thickness of each part of the part to be analyzed, determined by the optimum thickness determination step. The computer-readable recording medium according to claim 9, comprising: 11. The optimal plate thickness determining step is performed by a dynamic nonlinear analysis step of performing a dynamic nonlinear strength analysis of a component to obtain time series data of stress of each part of the component, and a dynamic nonlinear analysis step. Time-series data processing step of obtaining a new stress distribution of the part based on the time-series data of the stress, and analyzing the sensitivity of the stress distribution of each part of the part to a change in the thickness of each part of the part. A sensitivity analysis step of obtaining sensitivity information; and, based on the sensitivity information obtained by the sensitivity analysis step, changing the thickness of each part of the component within a range that satisfies the constraint conditions included in the analysis conditions, thereby obtaining a weight of the component. A numerical optimization step for determining the thickness of each part of the component that minimizes According to whether or not the above is satisfied, the processing is completed or the processing for creating new analysis data for the dynamic nonlinear analysis processing using the obtained thickness value and giving it to the dynamic nonlinear analysis step is performed. The computer-readable recording medium according to claim 10, further comprising a design change step of selectively performing any one of the steps. 12. The time-series data processing step includes: extracting a maximum stress for each element of a component to be analyzed from the time-series data given by the dynamic nonlinear analysis step to generate a new stress distribution. The computer-readable program according to claim 11, further comprising: a distribution creating step; and a part dividing step of dividing a part to be analyzed into a predetermined number of parts based on the stress distribution given by the stress distribution creating step. recoding media.