JP2009122845A - Analysis device, analysis program, and computer-readable recording medium recorded with analysis program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an analysis device and an analysis program which reduce a calculation load for calculating a deforming behavior, and a computer-readable recording medium in which the analysis program is recorded. <P>SOLUTION: This analysis device is provided with a storage device 107-1 for storing a plurality of analysis models each of which is specified from shape data and position data and material data, wherein the respective material data include information related with at least one of the elasticity and flexibility of an object to be analyzed as the object of the analysis model. This analysis device is also provided with: a calculation means 105-2 for calculating the predicted contact section of each analysis model with the other analysis models based on the position data; a setting means 105-3 for setting an element size change region in the neighborhood of the predicted contact section based on the material data; a division means 105-5 for dividing elements in the element size change region; and an output means 105-6 for calculating and outputting the deforming behavior of the analysis model based on the divided elements. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an analysis device that simulates deformation behavior caused by contact between analysis models, an analysis program, and a computer-readable recording medium that records the analysis program.

  Analysis of contact deformation behavior of each shape model caused by bending or twisting an assembly model having multiple shape models, and analysis of deformation modes of each shape model when manufacturing parts by forging and injection molding The finite element method is mainly used. The assembly model is composed of a plurality of shape models. More specifically, the assembly data includes information for specifying each shape model for specifying the shapes of a plurality of parts to be analyzed, information for specifying the positional relationship between these shape models, and the like. Yes.

  The finite element method divides the shape model into a number of elements based on the shape model that identifies the shape to be analyzed, and is an analysis method that uses the element model created by dividing the shape model. is there. In the finite element method, at locations where the element models are greatly deformed when they are in contact with each other, for example, at locations where the element model that is intended for a mold and the like are contacted with an element model that is intended for a workpiece May collapse the individual elements that make up their element model. If the element collapses, the deformation behavior of the element model cannot be correctly simulated.

  In order to prevent an element from being crushed in a place where it is greatly deformed, it is effective to divide the element model into fine elements and model it. That is, in a portion where the element is fine, even if the amount of deformation is large, the element is not easily crushed.

Therefore, for example, in Japanese Patent Laid-Open No. 11-272887 (Patent Document 1), a material model and a mold model having a large number of nodes and polygonal elements including three or more of these nodes used for plastic deformation analysis. An element subdivision method for a plastic deformation analysis model is disclosed. In this element subdivision method, the density of the element of the material model at and near the part of the material model that contacts the part having the most complicated shape in the contour part of the mold model is relatively set. Subdivide elements so that they are higher.
JP-A-11-272887

  However, in the element subdivision method disclosed in Japanese Patent Application Laid-Open No. 11-272887 (Patent Document 1), contact determination processing is performed at each calculation step for elements at locations where contact between models is likely to occur. Element subdivision evaluation such as element subdivision processing is performed. Therefore, the load for calculation of the element subdivision evaluation in the computer increases, and it takes a long time to obtain a calculation solution.

  The present invention has been made to solve the above-mentioned problems, and a main object of the present invention is an analysis apparatus, an analysis program, and a computer recording the analysis program in which the calculation load for calculating the deformation behavior is reduced. To provide a readable recording medium.

  According to an aspect of the present invention, there is provided an analysis device that calculates a deformation behavior of an analysis model divided into elements of a predetermined size, each of which includes shape data, position data, and material data of an object to be analyzed. A storage device that stores a plurality of analysis models defined by Each material data includes information on at least one of elasticity and plasticity of the object to be analyzed. The analysis device includes a calculation unit that calculates an expected contact point with another analysis model in the analysis model based on the position data, and a setting unit that sets an element size change region having a size based on information including the predicted contact point And dividing means for dividing the element size change area into elements having an element size smaller than a predetermined size, and output means for calculating and outputting the deformation behavior of the analysis model based on the divided elements.

  According to this aspect, a part that is easily touched in the analysis model is recognized in advance, and element division is performed according to the element size in consideration of the amount of deformation in the case of touching according to the material. Therefore, it is possible to reduce the calculation load for calculating the deformation behavior of the analysis model without performing repetitive element subdivision calculation during the calculation of the deformation behavior. In other words, the calculation time for calculating the deformation behavior of the analysis model is shortened.

  Preferably, the information processing apparatus further includes a determining unit that determines an element size based on the information, and the dividing unit divides the element size changing region into elements of the element size.

  Preferably, the calculation unit calculates a separation distance between the analysis models based on the position data and the shape data, and determines an expected contact location based on the separation distance.

  Preferably, the information includes the Young's modulus of the object to be analyzed, and the setting means sets the element size change region wider as the Young's modulus is smaller.

Preferably, the determining means determines the element size to be smaller as the Young's modulus is smaller.
According to another aspect of the present invention, there is provided an analysis program for causing a computer to calculate a deformation behavior of an analysis model divided into elements of a predetermined size. The computer includes a storage device and a control device. The program causes the control device to execute a step of storing a plurality of analysis models defined by the shape data, position data, and material data of the object to be analyzed. Each material data includes information on at least one of elasticity and plasticity of the object to be analyzed. The program sets, in the control device, a step of calculating an expected contact location with another analysis model in the analysis model based on the position data, and an element size change area having a size based on information including the expected contact location. A step of dividing the element size change region into elements having an element size smaller than a predetermined size, and a step of calculating and outputting the deformation behavior of the analysis model based on the divided elements.

  According to still another aspect of the present invention, there is provided a computer-readable recording medium recording an analysis program for causing a computer to calculate a deformation behavior of an analysis model divided into elements of a predetermined size. A storage device and a control device are provided. The program causes the control device to execute a step of storing a plurality of analysis models defined by the shape data, position data, and material data of the object to be analyzed. Each material data includes information on at least one of elasticity and plasticity of the object to be analyzed. The program sets, in the control device, a step of calculating an expected contact location with another analysis model in the analysis model based on the position data, and an element size change area having a size based on information including the expected contact location. A step of dividing the element size change region into elements having an element size smaller than a predetermined size, and a step of calculating and outputting the deformation behavior of the analysis model based on the divided elements.

  As described above, according to the present invention, it is possible to provide an analysis apparatus, an analysis program, and a computer-readable recording medium on which the analysis program is recorded, in which the calculation load for calculating the deformation behavior of the analysis model is reduced. .

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following description, the same parts are denoted by the same reference numerals, and when the names and functions of the parts are the same, detailed description of the parts will not be repeated.

<Overall configuration>
First, the overall configuration of the analysis apparatus according to the present embodiment will be described. The analysis apparatus according to the present embodiment is an apparatus for analyzing deformation behavior of a die or workpiece to be analyzed through an element model, and is typically a personal computer or a work piece. This is realized by a computer such as a station. The analysis process performed by the analysis device is typically realized by software executed on a computer such as a personal computer or a workstation.

  FIG. 1 is a perspective view showing a computer 1 which is an example of an analysis apparatus according to the present embodiment. As shown in FIG. 1, the computer 1 includes a computer main body 101 including an FD (Flexible Disk) driving device 111 and a CD-ROM (Compact Disk-Read Only Memory) driving device 113, a monitor 102, a keyboard 103, and the like. And mouse 104.

<Hardware configuration>
FIG. 2 is a control block diagram illustrating a hardware configuration of the computer 1 which is an example of the analysis apparatus according to the present embodiment. As shown in FIG. 2, the computer main body 101 includes a CPU (Central Processing Unit) 105, a memory 106, and an FD driving device 111 and a CD-ROM driving device 113 that are connected to each other via an internal bus 108. A fixed disk 107 and a communication interface 109. The FD 112 is attached to the FD driving device 111. A CD-ROM 114 is attached to the CD-ROM drive 113.

  The monitor 102 is composed of a liquid crystal panel and a CRT, and displays information output by the CPU 105. The keyboard 103 receives information from the user by key input. The mouse 104 receives information from the user when clicked or slid. The memory 106 stores various types of information. For example, the memory 106 temporarily stores data necessary for executing a program in the CPU 105. The fixed disk 107 stores a program executed by the CPU 105 and a database.

  The CPU 105 controls each element of the computer 1 and is a device that performs various calculations. Further, as will be described later, the CPU 105 reads various control programs from the fixed disk 107 and stores them in the memory 106, executes various control processes by executing the control programs, and sends the processing results to the internal bus 108. Via the monitor 102 or the like.

  The communication interface 109 converts information output from the CPU 105 into an electrical signal, and is also a device that converts information output from the CPU 105 into a signal that can be used by other devices. The communication interface 109 is also a device that receives information input from the outside of the computer 1 according to the present embodiment and converts it into information that can be used by the CPU 105. Further, the computer 1 can be connected to an output device other than the monitor 102 such as a printer, if necessary.

  As already described, the analysis device and analysis processing according to the present embodiment are realized by hardware such as the computer 1 and software such as a control program. Generally, such software is stored in a recording medium such as the FD 112 or the CD-ROM 114, or distributed via a network or the like. The software is read from the recording medium by the FD driving device 111 or the CD-ROM driving device 113 or received by the communication interface 109 and stored in the fixed disk 107. The software is read from the fixed disk 107 to the memory 106 and executed by the CPU 105. That is, the hardware of the computer 1 shown in FIGS. 1 and 2 is general. Therefore, the most essential part of the present invention is software recorded on a recording medium such as the FD 112, the CD-ROM 114, the fixed disk 107, or provided through a network.

<Functional configuration>
Next, each function of the analyzing apparatus according to the present embodiment will be described. Here, the “analysis model” is a concept that collectively represents “shape model”, “contact candidate model”, and “element model”, and includes models before and after element division.

  FIG. 3 is a functional block diagram showing a functional configuration of the analysis apparatus according to the present embodiment. Each function shown in FIG. 3 is a function exhibited when the CPU 105 executes a program stored in the ROM 107, the fixed disk 107, or the like and controls each hardware shown in FIGS. In the present embodiment, various analysis processing functions are realized by a computer 1 such as a personal computer or a workstation and software executed on the computer 1. Instead of realizing the functions and processing of each step by software, each may be realized by a dedicated hardware circuit or the like.

  As illustrated in FIG. 3, the analysis apparatus according to the present embodiment includes a calculation unit 105-2, a setting unit 105-3, a determination unit 105-4, a division unit 105-5, and an output unit 105-6. A shape model database 107-2, an element size database 107-3, an element model database 107-4, and a display unit 102-1. Here, the calculation unit 105-2, the setting unit 105-3, the determining unit 105-4, the dividing unit 105-5, and the output unit 105-6 are functions realized by the control device 105-1. is there. The control device 105-1 is realized by an arithmetic processing device such as the CPU 105, for example, and is realized by a control program for realizing each function included in the control device 105-1, It is connected to other components via signal lines. The shape model database 107-2, the element size database 107-3, and the element model database 107-4 are included in the storage device 107-1.

  Each function will be described below. First, the storage device 107-1 is realized by, for example, the fixed disk 107 and the memory 106. The storage device 107-1 stores a shape model database 107-2, and the shape model database 107-2 stores information on a plurality of analysis models each defined by shape data, position data, and material data. . Here, the material data includes information relating to at least one of elasticity and plasticity of the object to be analyzed by the analysis model. Examples of the material data include Young's modulus, tensile strength, yield stress, and shear modulus. In other words, the material data is a value indicating the difficulty of deformation (or the ease of deformation) of the object to be analyzed by the analysis model.

  More specifically, the shape model database 107-2 stores shape information, position information (placement information), and Young's modulus of a plurality of shape models constituting the assembly model. The element size database 107-3 stores an element size change area and an element size of each selection candidate model. The element model database 107-4 stores the element model after division by element size.

  The calculation unit 105-2, the setting unit 105-3, the determination unit 105-4, the dividing unit 105-5, and the output unit 105-6 are read from the fixed disk 107 or the ROM 107 to the memory 106, for example. This program is realized by executing the program on the CPU 105. In other words, the program stored in the fixed disk 107 or the ROM 107 is once read into the memory 106, and the CPU 105 sequentially executes the program while reading the program from the memory 106, thereby realizing functions such as the following analysis processing.

  In this way, the calculation unit 105-2 reads position data from the shape model database 107-2, and calculates a predicted contact point with another shape model in each shape model. That is, the calculation unit 105-2 extracts a contact candidate model in which contact between the shape models is expected from an assembly model having a plurality of shape models. The calculation unit 105-2 calculates position information of a location where the contact candidate model is expected to make contact with another contact candidate model. The calculation unit 105-2 reads material data of the contact candidate model, for example, Young's modulus.

  More specifically, the calculation unit 105-2 calculates a separation distance between shape models (analysis models) based on the position data and the shape data, and determines the predicted contact location based on the separation distance. . The separation distance is calculated by the calculation unit 105-2, for example, vertex coordinates included in one shape model in a common three-dimensional coordinate system and vertex coordinates included in another shape model in an assembly model constituted by a plurality of shape models. It is obtained by calculating the distance to. Then, the shortest distance among the distances between the vertex coordinates included in the one shape model and the vertex coordinates included in another shape model is set as a separation distance.

  FIG. 4 is an image diagram showing element size change areas in two analysis models. More specifically, FIG. 4A is an image diagram showing two analysis models 121 and 122 that are in contact with each other, and FIG. 4B shows two analysis models 123 and 124 that are separated by a distance a. It is an image figure. The calculation unit 105-2 reads two shape models in order from an assembly model having a plurality of shape models. The calculation unit 105 calculates a separation distance a between the read shape models. Then, the shape models 121 and 122 in which the shape models are in contact and the shape models 123 and 124 in which the distance a between the shape models is less than a predetermined distance are extracted as contact candidate models. As shown in FIG. 4A and FIG. 4B, the calculation unit 105-2 determines the start point and the end point when calculating the shortest separation distance a in the pair of contact candidate models as the respective contact candidate models. Are set to the expected contact locations 121A, 122A, 123A, 124A. Then, the surfaces including the start point and the end point (predicted contact locations 121A, 122A, 123A, 124A) are set as the predicted contact surfaces in the respective contact candidate models.

  In this way, the calculation unit 105-2 extracts a contact candidate model that is expected to be contacted, and position information of a location where contact is expected in the contact candidate model or material data of the contact candidate model, for example, Young's modulus To get. More specifically, the calculation unit 105-2 calculates a separation distance a between the shape models (contact candidate models) based on the position data and the shape data, and based on the separation distance a Determine the expected contact surface.

  The setting unit 105-3 sets an element size change region in the vicinity of the predicted contact location or the predicted contact surface based on the material data. More specifically, the setting unit 105-3 sets the element size change region wider as the shape model (contact candidate model) has a lower Young's modulus. In other words, the setting unit 105-3 determines that the contact candidate model is made of a softer material (the smaller the Young's modulus), the more the target object of the contact candidate model is such that the element is not crushed by deformation of the analysis model. Is set so that the element size change area in is wide.

  The determination unit 105-4 determines the element size of the shape model (contact candidate model) based on the material data. More specifically, the determination unit 105-4 determines the element size to be smaller for a shape model (contact candidate model) having a smaller Young's modulus. That is, the setting unit 105-3 and the determination unit 105-4 classify the contact candidate models based on the acquired Young's modulus, and set an element division method according to the classification. That is, the setting unit 105-3 and the determination unit 105-4 store the set information in the element size database 107-3.

  The dividing unit 105-5 divides the elements in the element size change area of each shape model (contact candidate model) into element sizes. More specifically, the dividing unit 105-5 creates an element model by performing element division with the set element size for the element size change area and element division with the reference element size for the other areas. . Here, the reference element size is preferably larger than the element size determined based on the material data.

  FIG. 5 is an image diagram showing element size change regions in the three analysis models. As shown in FIG. 5, the case where the analysis model 126 of the analysis object that is resin, the analysis model 125 of the analysis object that is metal, and the analysis model 127 of the analysis object that is rubber are close to each other will be described. To do. More specifically, the separation distance b between the analysis model 126 of the analyte that is resin and the analysis model 125 of the analysis object that is metal is less than the contact candidate determination distance, and the analysis of the analysis object that is metal is performed. The case where the separation distance c between the model 125 and the analysis model 127 of the object to be analyzed that is rubber is less than a predetermined value will be described.

As illustrated in FIG. 5, the setting unit 105-3 classifies the contact candidate models 125, 126, and 127 based on the acquired Young's modulus. As a classification method by the setting unit 105-3, an analyte having a Young's modulus equal to or higher than a first predetermined value (for example, 3 × 10 ⁴ MPa) is set as the first classification (for example, metals), and the first Analytes that are less than a predetermined value and greater than or equal to a second predetermined value (for example, 10 ³ MPa) are set as the second classification (for example, resins), and the analysis object that is less than the second predetermined value is the third classification. The contact candidate models 125, 126, 127 are classified as (for example, rubber).

  In the present embodiment, the contact candidate model is classified based on the Young's modulus of the object to be analyzed by the contact candidate model. Based on the classification, the range (size) of the element size change area and the element size are determined. However, instead of the Young's modulus of the object to be analyzed, other elastic or plastic information may be input, and the contact candidate model may be classified based on the information. In addition, the type of material is input, and the configuration in which the contact candidate model is directly classified based on the type of the material, or the size of the element size change region and the element size are directly determined. May be.

For the contact candidate model 125 having a Young's modulus of 3 × 10 ⁴ MPa or more, the setting unit 105-3 sets a wide change area for changing the element size according to the metal. For example, the setting unit 105-3 sets one surface portion (reference element size) or two layers (double the reference element size) as the change region in the thickness direction from the surface including the predicted contact points 125A and 125B. To do. The determination unit 105-4 determines the element size in the change area to be a large size. The dividing unit 105-5 divides the contact candidate model 125 into large-sized elements corresponding to metals.

And the setting part 105-3 sets the change area of a middle range, in order to change the element size according to resin about the contact candidate model 126 whose Young's modulus is less than 3 * 10 < ⁴ > MPa and 10 < ³ > MPa or more. (S107). For example, the setting unit 105-3 sets ½ of the thickness as the change region from the surface including the predicted contact location 126A toward the thickness direction. The determination unit 105-4 determines the element size in the change area as a medium size. The dividing unit 105-5 divides the contact candidate model 126 into medium-sized elements corresponding to the resins.

And the setting part 105-3 sets the change area of the small range for changing the element size according to rubber | gum about the contact candidate model 127 whose Young's modulus is less than 10 < ³ > MPa. For example, the setting unit 105-3 sets all the thicknesses as change areas from the surface including the predicted contact location 127A toward the thickness direction. The determination unit 105-4 determines the element size in the change area to be a small size. The dividing unit 105-5 divides the contact candidate model 127 into small-sized elements corresponding to rubbers.

  Thus, as described above, the setting unit 105-3 causes the contact candidate model 125, 126, 127 to have a softer material (the smaller the Young's modulus), the elements in the contact candidate model. Set the resize area to be wide. As shown in FIG. 5, as a method of setting the change area of the classified model, the change area of the metal with a small amount of deformation is one or several layers (reference element size) of the surface of the shape model, and the change of the resin The area is up to half of the thickness direction of the shape model, and the rubber change area is the whole thickness direction of the shape model.

  As described above, the determination unit 105-4 determines that the element size becomes smaller as the contact candidate model has a relatively small Young's modulus. For example, as the set values, rubber is set as a reference element size, resin element size is set to 1.5 times the reference element size, and metal element size is set to twice the reference element size. In other words, the metal is the reference element size, the resin element size is 0.75 times the reference element size, and the rubber element size is 0.5 times the reference element size.

  The output unit 105-6 calculates and outputs the deformation behavior of the analysis model based on the divided elements. Here, “output” is a concept including not only display and printing, but also an operation of giving data and signals to other programs and devices. That is, the output unit 105-6 may display the calculated deformation behavior (analysis result), print it, or give data or signals to other programs or devices. It may be a thing. That is, the dividing unit 105-5 and the output unit 105-6 perform element division based on the set element size, and perform contact analysis using the element model after element division.

  The display unit 102-1 is realized by the monitor 102, for example, and displays various information (for example, analysis results) output from the CPU 105 to the user. More specifically, the display unit 102-1 may be realized by a monitor 102 (display) connected to the computer main body 101, which is separate from the computer main body 101, or like a notebook personal computer. In addition, the display unit 102-1 may be realized by a monitor (display) configured integrally with the computer main body 101.

<Analysis processing>
FIG. 6 is a flowchart showing a processing procedure of analysis processing in the analysis apparatus. Referring to FIG. 6, first, the CPU 105 functioning as the calculation unit 105-2 has the position of the shape model of the assembly model stored in the shape model database 107-2 of the fixed disk 107 functioning as the storage device 107-1. From the information, the shape models in which the shape models shown in FIG. 4A are in contact with each other, or the distance model a between the shape models shown in FIG. 4B is within the contact candidate determination distance. They are extracted as a pair of contact candidate models (step 101; step is hereinafter abbreviated as S). At this time, the CPU 105 obtains information on the place where contact is expected, for example, the name of the shape model for specifying the shape model, the address where the data related to the shape model is stored, the coordinate value of the expected contact place, and the expected contact surface. Acquires the name of the surface to identify and the address where the surface data is stored. Here, a plurality of contact candidate models are extracted.

  Hereinafter, the process from S102 to S112 is a process executed for the contact candidate models sequentially selected from the plurality of acquired contact candidate models. That is, first, the CPU 105 reads out the Young's modulus of each of the acquired plurality of contact candidate models from the shape model database 107-2 (S102). The steps of S101 and S102 are collectively referred to as “contact information acquisition process”.

CPU105 classifies each contact candidate model based on the acquired Young's modulus (S103-S105). In the present embodiment, as described above, as a classification method, metals having a Young's modulus of 3 × 10 ⁴ MPa (first predetermined value) or more are metals, less than 3 × 10 ⁴ MPa and 10 ³ MPa (first (Predetermined value of 2) or more are classified as resins, and those less than 10 ³ MPa are classified as rubbers.

Referring to FIGS. 5 and 6, specifically, first, CPU 105 determines whether or not the Young's modulus read from shape model database 107-1 is 3 × 10 ⁴ MPa or more (S103). When the Young's modulus is 3 × 10 ⁴ MPa or more (in the case of YES in S103), the CPU 105 determines that the object to be analyzed by the contact candidate model is a metal, and sets the element size corresponding to the metal. A change area for change is set (S105). Then, the contact candidate model is divided into element sizes corresponding to the metals in the change area (S106).

On the other hand, when Young's modulus is less than 3 × 10 ⁴ MPa (NO in S103), CPU 105 determines whether Young's modulus is 10 ³ MPa or more (S104). When the Young's modulus is 10 ³ MPa or more (in the case of YES in S104), the CPU 105 determines that the analyte to be analyzed by the contact candidate model is a resin, and changes the element size according to the resin. A change area is set for this purpose (S107). In the change area, the contact candidate model is divided into element sizes corresponding to the resins (S108).

On the other hand, if the Young's modulus is less than 10 ³ MPa (NO in S104), the CPU 105 determines that the analyte to be analyzed by the contact candidate model is rubber, and sets the element size corresponding to the rubber. A change area for change is set (S109). Then, the contact candidate model is divided into element sizes corresponding to the rubbers in the change area (S110).

  As described above, the CPU 105 according to the present embodiment is configured such that the change region in the contact candidate model becomes wider as the analyte to be analyzed by the contact candidate model is made of a softer material (lower Young's modulus). Set. As shown in FIG. 5, the change area of the classified model is set as follows: the change area of the metal with a small amount of deformation is one layer (reference element size) of the surface of the shape model, and the change area of the resin is the shape The change area of rubber is the whole thickness direction of the shape model up to half of the thickness direction of the model.

  As described above, the CPU 105 according to the present embodiment sets the contact candidate model having a relatively small Young's modulus so that the element size becomes finer. For example, as the set values, rubber is set as a reference element size, resin element size is set to 1.5 times the reference element size, and metal element size is set to twice the reference element size. In other words, the metal is the reference element size, the resin element size is 0.75 times the reference element size, and the rubber element size is 0.5 times the reference element size.

  The CPU 105 stores the element size change area set in S105, S107, and 109 and the element size set in S106, S108, and S110 in the element size database 107-3 of the fixed disk 107. These steps of S103 to S110 are collectively referred to as “element change information setting step”.

  The CPU 105 reads the element size change area and the element size stored in the element size database 107-3, performs element division on the contact candidate model, and creates an element model (S111). The CPU 105 temporarily stores the created element model in the element model database 107-4 of the fixed disk 107. Then, the CPU 105 determines whether or not the element division processing from S102 to S111 is completed for all contact candidate models (S112).

  When there is a contact candidate model for which the element division processing from S102 to S111 has not been completed yet (NO in S112), the processing of S102 to S111 is executed for the contact candidate model. On the other hand, when the element division processing from S102 to S111 is completed for all contact candidate models (YES in S112), the element model stored in the element model database 107-4 is read and contact analysis is performed. (S113). These steps of S111 to S113 are collectively referred to as “contact analysis process”.

  As described above, the analysis device and the analysis processing according to the present embodiment divide a region where an element is likely to be collapsed due to a large deformation of the shape model into smaller elements according to the material in advance before the deformation. It becomes possible to obtain an analysis result with high accuracy.

  Further, in extracting the contact candidate model, the contact candidate can be extracted with high accuracy by extracting the contact candidate based on the deformation direction of the shape model and the distance between the shape models.

  Further, when setting the element size change region for changing the element size, the contact candidate model is classified stepwise (for example, three) based on the Young's modulus from the constituent material of the contact candidate model, and greatly deformed by contact. That is, it is possible to obtain a highly accurate analysis result by taking a region where the element size is changed in a wider range as the material has a lower Young's modulus.

  In addition, in setting the element size, by reducing the element size for a material having a larger deformation amount, that is, a material having a smaller Young's modulus, it is possible to reduce the element collapse due to the deformation and obtain a highly accurate analysis result.

<Other embodiments>
It goes without saying that the present invention can also be applied to a case where the object is achieved by supplying a program to a system or apparatus. Then, a storage medium storing a program represented by software for achieving the present invention is supplied to the system or apparatus, and a program code stored in the storage medium by the computer (or CPU or MPU) of the system or apparatus It is possible to enjoy the effects of the present invention also by reading and executing.

  In this case, the program code itself read from the storage medium realizes the functions of the above-described embodiment, and the storage medium storing the program code constitutes the present invention.

  As a storage medium for supplying the program code, for example, a floppy disk, hard disk, optical disk, magneto-optical disk, CD-ROM, CD-R, magnetic tape, nonvolatile memory card (IC memory card), ROM (mask) ROM, flash EEPROM, etc.) can be used.

  Further, by executing the program code read by the computer, not only the functions of the above-described embodiments are realized, but also an OS (operating system) running on the computer based on the instruction of the program code However, it is needless to say that a case where the function of the above-described embodiment is realized by performing part or all of the actual processing and the processing is included.

  Further, after the program code read from the storage medium is written to a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer, the function expansion is performed based on the instruction of the program code. It goes without saying that the CPU or the like provided in the board or the function expansion unit performs part or all of the actual processing and the functions of the above-described embodiments are realized by the processing.

  The embodiment disclosed this time should be considered as illustrative in all points 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.

It is a perspective view which shows the computer which is an example of the analyzer which concerns on this Embodiment. It is a control block diagram which shows the hardware constitutions of the computer which is an example of the analyzer which concerns on this Embodiment. It is a functional block diagram which shows the function structure of the analyzer which concerns on this Embodiment. It is an image figure which shows the element size change area | region in two analysis models. It is an image figure which shows the element size change area | region in three analysis models. It is a flowchart which shows the process sequence of the analysis process in an analyzer.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 Computer, 101 Computer main body, 102 Monitor, 102-1 Display part, 103 Keyboard, 104 Mouse, 105 CPU, 105-1 Control apparatus, 105-2 Calculation part, 105-3 Setting part, 105-4 Determination part, 105 -5 division unit, 105-6 output unit, 106 memory, 107 fixed disk, 107-1 storage device, 107-2 shape model database, 107-3 element size database, 107-4 element model database, 108 internal bus, 109 Communication interface.

Claims (7)

An analysis device that calculates the deformation behavior of an analysis model divided into elements of a predetermined size,
A storage device for storing a plurality of analysis models each defined by shape data, position data, and material data of an object to be analyzed;
Each of the material data includes information on at least one of elasticity and plasticity of the analyte,
A calculation means for calculating a predicted contact point with another analysis model in the analysis model based on the position data;
Setting means for setting an element size change area having a size based on the information, including the predicted contact location;
Dividing means for dividing the element size change area into elements having an element size smaller than the predetermined size;
An analysis apparatus further comprising output means for calculating and outputting the deformation behavior of the analysis model based on the divided elements. Determining means for determining the element size based on the information;
The analysis device according to claim 1, wherein the dividing unit divides the element size change region into elements of the element size.   The analysis device according to claim 2, wherein the calculation unit calculates a separation distance between the analysis models based on the position data and the shape data, and determines the predicted contact location based on the separation distance. The information includes a Young's modulus of the analyte,
The analysis device according to claim 2 or 3, wherein the setting means sets the element size change region wider as the Young's modulus is smaller.   The analysis apparatus according to claim 4, wherein the determination unit determines the element size to be smaller as the Young's modulus is smaller. An analysis program for causing a computer to calculate the deformation behavior of an analysis model divided into elements of a predetermined size,
The computer
A storage device;
A control device,
The program is stored in the control device.
A step of storing a plurality of analysis models each defined by shape data, position data, and material data of an object to be analyzed;
Each of the material data includes information on at least one of elasticity and plasticity of the analyte,
The program is stored in the control device.
Calculating a predicted contact point with another analysis model in the analysis model based on the position data;
Setting an element size change area of a size based on the information, including the expected contact location;
Dividing the element size changing area into elements having an element size smaller than the predetermined size;
And a step of calculating and outputting a deformation behavior of the analysis model based on the divided elements. A computer-readable recording medium recording an analysis program for causing a computer to calculate the deformation behavior of an analysis model divided into elements of a predetermined size,
The computer
A storage device;
A control device,
The program is stored in the control device.
A step of storing a plurality of analysis models each defined by shape data, position data, and material data of an object to be analyzed;
Each of the material data includes information on at least one of elasticity and plasticity of the analyte,
The program is stored in the control device.
Calculating a predicted contact point with another analysis model in the analysis model based on the position data;
Setting an element size change area of a size based on the information, including the expected contact location;
Dividing the element size changing area into elements having an element size smaller than the predetermined size;
A computer-readable recording medium that further executes a step of calculating and outputting a deformation behavior of the analysis model based on the divided elements.

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