WO2019130415A1

WO2019130415A1 - Analysis result extraction device, analysis result extraction method, and analysis result extraction program

Info

Publication number: WO2019130415A1
Application number: PCT/JP2017/046577
Authority: WO
Inventors: 光一西浦; 平野　徹; 和之三上
Original assignee: インテグラル・テクノロジー株式会社
Priority date: 2017-12-26
Filing date: 2017-12-26
Publication date: 2019-07-04
Also published as: JPWO2019131185A1; JP6969757B2; WO2019131185A1

Abstract

According to the present invention, an analysis result extraction device, an analysis result extraction method, and an analysis result extraction program: associate results of analysis that uses mesh data with the mesh data, wherein the mesh data is generated from shape data of a product as created by three-dimensional CAD, and is associated with each set of part information about the product; receive a set of part information about the product; identify the mesh data associated with the received set of part information; and extract the analysis results associated with the identified mesh data.

Description

Analysis result extraction device, analysis result extraction method and analysis result extraction program

The present invention relates to CAE (Computer Aided Engineering) technology that uses a computer to support product design and development.

An analysis apparatus that performs various analyzes (analysis simulation) such as structural analysis, fluid analysis, flow analysis, etc. analyzes using an analysis method such as, for example, a finite element method (FEM). In order to perform such analysis, it is necessary to generate mesh data from shape data of a product created by three-dimensional CAD (Computer Aided Design). For example, Patent Document 1 determines an outer product vector from a normal vector of the first surface and a vector in the tangential direction where the first surface and the second surface contact each other, and the outer product vector and the normal vector of the second surface An inner product is obtained, the surface shape of the second surface with respect to the first surface is determined based on the calculation result, and the determination is used to generate mesh data.

By the way, in the conventional analysis apparatus, for example, analysis results corresponding to mesh data of all parts of a product to be analyzed are output as a list of analysis result file data. On the other hand, the analysis accuracy basically improves as the number of mesh data per unit area increases (the mesh becomes more detailed). And, with the improvement of the processing capability and analysis technology of the computer in recent years, the enlargement of mesh data (detailing of mesh) is in progress. For this reason, the analysis result is a huge amount of, for example, hundreds of thousands, millions or hundreds of millions. Then, the user (designer) needs to find out the analysis result of the desired part from the huge amount of analysis results. Therefore, the work burden on the user, the work time, and the work cost increase.

International Publication No. 2017/175349

Therefore, the present invention can reduce the work load on the user for finding out the analysis result of the desired part, and can shorten the work time, thereby reducing the work cost. It is an object of the present invention to provide an analysis result extraction method and an analysis result extraction program.

The present invention provides the following analysis result extraction device, analysis result extraction method, and analysis result extraction program in order to solve the problems.

(1) Analysis Result Extraction Device The analysis result extraction device according to the present invention is analyzed using mesh data generated in association with each part information of the product from shape data of the product generated by three-dimensional CAD. The mesh data corresponding to the site information is specified from the site information accepted by the site information accepting unit, the site information accepting unit that accepts the site information of the product, and the association unit that associates the analysis result with the mesh data. A mesh data identification unit, and an analysis result extraction unit for extracting the analysis result corresponding to the mesh data from the mesh data identified by the mesh data identification unit.

(2) Analysis Result Extraction Method The analysis result extraction method according to the present invention is analyzed using mesh data generated in association with each part information of the product from shape data of the product generated by three-dimensional CAD. Identifying the mesh data corresponding to the region information from the region information received in the region information receiving step and the region information receiving step in the region information receiving step in which the analysis result is associated with the mesh data, the region information receiving step in which the product information is received The method is characterized by including a mesh data identification step and an analysis result extraction step of extracting the analysis result corresponding to the mesh data from the mesh data identified in the mesh data identification step.

(2) Analysis result extraction program An analysis result extraction program for causing a computer to execute each step of the analysis result extraction method according to the present invention.

According to the present invention, it is possible to reduce the work load on the user for finding out the analysis result of the desired part, to shorten the work time, and to reduce the work cost.

FIG. 1 is a block diagram showing an example of a hardware configuration of an analysis apparatus provided with an analysis result extraction apparatus according to an embodiment of the present invention. FIG. 2 is a flow chart showing an example of the processing procedure of the analysis apparatus provided with the analysis result extraction apparatus according to the embodiment of the present invention. FIG. 3A is a three-dimensional view showing an example of the overall shape of three-dimensional CAD data of a product. FIG. 3B is a perspective view showing a portion of the draw bead of the shape shown in FIG. 3A. FIG. 3C is a perspective view of a portion of the fillet in the shape shown in FIG. 3A. FIG. 4A is a three-dimensional view showing “Surface” of the shape in FIG. 3A by an arrow. FIG. 4B is a three-dimensional view showing “Surface” of the shape in FIG. 3B by an arrow. FIG. 4C is a three-dimensional view showing “Surface” of the shape in FIG. 3C by an arrow. FIG. 5 is a three-dimensional view in which a mesh is applied to a portion including the draw bead having the shape shown in FIGS. 3B and 4B. FIG. 6 is a three-dimensional view in which a mesh is applied to a portion including fillets having the shapes shown in FIG. 3C and FIG. 4C. FIG. 7 is a schematic diagram for explaining nodes and elements represented by calculation input data of structural analysis. FIG. 8 is a schematic view showing an example in which nodes are numbered. FIG. 9 is a schematic view showing the relationship between nodes and elements. FIG. 10 is an explanatory diagram of node information. FIG. 11 is a schematic diagram for explaining an example of

fixing nodes

3 and 4 and applying pressure to

nodes

1 and 2. FIG. 12 is a chart showing an example of calculation results output from the analysis solver. FIG. 13A is a perspective view showing an example in which a part including a U-shaped cross section is divided by a surface. FIG. 13B is a front view of the component shown in FIG. 13A. FIG. 14A is a front view showing actual parts. FIG. 14B is a perspective view of the part showing FIG. 14A. FIG. 15A is a plan view showing a state before the upper end portion of the plate collides with the parts shown in FIGS. 13A to 14B. FIG. 15B is a plan view showing a state after the plate is collided with the parts shown in FIG. 13A to FIG. 14B at the upper end. 16A is an enlarged perspective view showing a γ portion of the part shown in FIG. 15B. FIG. 16B is an explanatory diagram of a γ portion shown in FIG. 16A and a calculation result thereof. FIG. 17 is a front view showing an actual part in which the plate is collided at the upper end. FIG. 18 is a schematic view showing an example of a data structure of a database in which mesh data and an analysis result are associated. FIG. 19 is a schematic view showing an example of an input screen for inputting part information. FIG. 20 is a schematic view showing a data structure in which node numbers and coordinate information are associated with each other. FIG. 21 is a schematic diagram showing a data structure in which element numbers and part numbers are associated with node numbers. FIG. 22 is a schematic diagram showing a data structure in which element numbers and analysis results are associated. FIG. 23 is a three-dimensional view in which mesh data is given to a part. FIG. 24 is a three-dimensional view in which mesh data is given to a component in which a plate is collided at the upper end. FIG. 25 is a three-dimensional view in which mesh data is given to a component in which a plate is collided at an intermediate portion.

Hereinafter, embodiments according to the present invention will be described with reference to the drawings.

[Hardware configuration of analysis device]
First, the hardware configuration of the analysis device 100 (analysis result output device) will be described below with reference to FIG.

FIG. 1 is a block diagram showing an example of a hardware configuration of an analysis apparatus 100 provided with an analysis result extraction apparatus 101 according to an embodiment of the present invention.

As shown in FIG. 1, the analysis device 100 includes a control unit 110, a storage unit 120, and a display printing unit 140. The control unit 110 is configured to implement various functions necessary for the control unit 110 by executing an analysis result extraction program P stored (installed) in advance in the recording device 121 of the storage unit 120. Specifically, the control unit 110 is configured by an arithmetic processing unit (an example of a computer) such as a CPU. The control unit 110 performs various processes by loading a software program such as the analysis result extraction program P stored in advance in the recording device 121 onto the RAM 122 b of the memory device 122 and executing the software program. The storage unit 120 includes a memory device 122 such as a ROM 122a and a RAM 122b, and a recording device 121 such as a flash memory and a hard disk device. In the recording device 121, an analysis result extraction program P from the reading unit 130 is stored in advance. The display printing unit 140 includes a display device 141 such as a liquid crystal display panel and a printing device 142 such as a laser printer. The display device 141 displays the output display information from the control unit 110 on the display screen. The printing device 142 prints the output display information from the control unit 110. The reading unit 130 includes a reading device 131 that reads a recording medium M such as a CD-ROM. In the recording medium M, an analysis result extraction program P is recorded in advance. The recording medium M may be any other recording medium besides a recording disc such as a CD-ROM. Further, the analysis result extraction program P is not limited to one acquired via a recording medium such as a CD-ROM, and may be one downloaded via communication means such as the Internet.

[Software configuration of analysis device]
Next, the software configuration of the analysis apparatus 100 will be described below with reference to FIG.

The control unit 110 includes a three-dimensional CAD data input unit Q1, a shape recognition unit Q2, a mesh data generation unit Q3, an analysis unit Q4, an association unit Q5, a part information reception unit Q6, and a mesh data specification unit Q7. Functions as a unit including an analysis result extraction unit Q8, an analysis result evaluation unit Q9, and an analysis result output unit Q10. That is, the analysis result extraction program P includes a three-dimensional CAD data input step, a shape recognition step, a mesh data generation step, an analysis step, an association step, a part information reception step, a mesh data identification step, and an analysis result. The control unit 110 is caused to execute steps including an extraction step, an analysis result evaluation step, and an analysis result output step.

[Processing procedure of analysis device]
FIG. 2 is a flow chart showing an example of the processing procedure of the analysis device 100 provided with the analysis result extraction device 101 according to the embodiment of the present invention.

The main processing procedures of the analysis apparatus 100 are roughly classified into pre-processing, analysis processing, and post-processing. In pre-processing, three-dimensional CAD data input, shape recognition, and mesh data generation are performed. In analysis processing, analysis is performed. In post processing, mesh data analysis result association, part information reception, mesh data specification, analysis result extraction, and analysis result output are performed.

[Pre-processing]
(3D CAD data input)
First, in the three-dimensional CAD data input step, the control unit 110 receives, from the reading unit 130, three-dimensional CAD data (three-dimensional CAD model) which is shape data of a product created by three-dimensional CAD. In three-dimensional CAD data, shape data is associated with each assembly number and each part number.

(Shape recognition)
Next, in the shape recognition step, the control unit 110 recognizes the shape based on the three-dimensional CAD data. Specifically, the shape recognition step can be divided into three main steps.

In the first step, surface information of each of three-dimensional CAD data is acquired. A free mesh is created on each face of the initially input 3D CAD data, and a database for feature calculation is constructed. Such features include, for example, curvature of surface, curvature of outer periphery, outer peripheral length, fixed point on outer periphery, length ratio of paired outer peripheral pair, circular shape of outer periphery, cylindrical shape, spherical degree, inner angle of fixed point, The area, the in-plane normal angle difference, the surface continuity, the peripheral contact angle, and the cross-sectional shape are included. In order to calculate these features, the mesh data is mainly referred to along with the acquired information on the geometric shape.

FIG. 3A is a three-dimensional view showing an example of the overall shape of three-dimensional CAD data of a product. FIG. 3B is a perspective view showing a portion of the draw bead of the shape shown in FIG. 3A. FIG. 3C is a perspective view of a portion of the fillet in the shape shown in FIG. 3A.

In the present specification, the "feature" is
(1) "Whole shape": a twisted uneven plate with holes (see Fig. 3A)
(2) "Draw bead": Band-like uneven part made on a flat surface (see Fig. 3B)
(3) "Fillet": Rounded corner of pointed corner (see Fig. 3C)
Etc. (or words that indicate it), and is called "Shape".

FIGS. 4A to 4C are three-dimensional views showing “Features” of the shapes in FIGS. 3A to 3C by arrows.

The “start point (including vertices and ends)” and “switch” part of “feature = shape” (however, not all “lines” represented in 3D CAD data correspond to that) are “Feature (See FIGS. 4A to 4C).

In the second step, each face is classified based on the acquired information and features. After acquiring the data and calculating the features of each surface, each surface is classified into five different types (plane, fillet, cylinder, sphere, curved surface). In order to classify each surface, it is confirmed whether the surface type to be classified has a specific feature. For example, to regard a surface as the surface of the fillet, the curvature of the surface, the curvature of the outer periphery, the outer peripheral length, the width of the surface, the fixed point on the outer periphery, the length ratio of the pair of outer peripheral pairs, the outer periphery Inspect the circular shape, the internal angle of the fixed point, the area, the continuity of the surface, the contact angle of the outer circumference, and the cross-sectional shape. Fillets, cylinders, spheres, and surfaces are all considered to be surfaces in the first place. Then distinguish them from different features. Also, the cylinder and the ball can be fillets. They are considered fillets if they have a certain form and continuity with adjacent faces.

In the third step, complex regions consisting of multiple faces are recognized. 2D holes on plate-shaped models, 3D holes on solid models, stepped holes including counterbore, steps, emboss, flanges, fillet flow, chamfers, corner fillets, narrow faces between fillets, ribs, grooves Use the surface type and other information classified in the second step to identify areas such as gear teeth, screws, etc. Other information used to recognize a portion includes a combination of surface types, positional relationship between surfaces, size of the portion, and cross-sectional shape when forming a composite shape with a plurality of surfaces.

As described above, the specific part recognized through the three steps is held together in the system together with CAD information, mesh area information, and shape data at the time of recognition, and is used in mesh creation according to the rules. Ru.

(Mesh data generation)
In the mesh data generation step, the control unit 110 generates mesh data associated with each part information corresponding to the part of the product based on the shape recognition data of the shape recognized in the shape recognition step. Specifically, the control unit 110 generates mesh data based on rules for each type of analysis. By doing this, it is possible to generate mesh data corresponding to various analyzes. That alone can improve the quality of the mesh. And analysis can be performed in the state which improved the quality of the mesh. This can improve the analysis accuracy.

Specifically, the control unit 110 performs calculation for each piece of part information whose shape is recognized, and generates a mesh according to the mesh rule, but mainly performs mesh creation in two steps.

FIG. 5 is a three-dimensional view in which a mesh is applied to a portion including the draw bead having the shape shown in FIGS. 3B and 4B. FIG. 6 is a three-dimensional view in which a mesh is applied to a portion including fillets having the shapes shown in FIG. 3C and FIG. 4C.

First, in the first step, the original shape is corrected. Examples include chamfering and removal of corner fillets and ridgeline movement of fillets that are so narrow that they deviate from the mesh quality criteria. In the example of chamfering and corner fillet removal, a new ridge line is created at the position where the adjacent face is extended if it is determined to be the object to be removed for the shape-recognized chamfering and corner fillet, and the mesh shape is adjusted to this It is necessary to delete the shape by changing it. Also, in the example of a thin fillet, it is necessary to move the ridgeline to a position where the mesh can be created along the mesh quality standard while paying attention to the surrounding condition, and change the mesh so that the new ridgeline position can be bounded. By performing these processes in accordance with the mesh rules, mesh data generation in the next step is facilitated.

Next, in the second step, mesh data generation is performed on the corrected shape in accordance with the mesh rule. As an example of the mesh rule at the time of mesh data generation, control of the number of divisions by the width of the fillet portion can be mentioned. In this example, mesh generation is performed with the specified number of divisions while measuring the width of the fillet according to the defined rule. At this time, if a more complicated rule is set, such as unifying the number of divisions of the fillet into a uniform number of division under a constant condition, a mesh is generated in consideration of all the rules.

If there is a mesh with a quality error after mesh creation for the mesh created in the above two steps, correct the error according to the mesh quality standard. Since the mesh created in this process determines the mesh to be created from the result of shape recognition, the shape recognition data and the mesh data are linked.

In the example shown in FIG. 5, the control unit 110 gives a mesh so that the apexes are in a line at the center of the "draw bead" portion. In the example shown in FIG. 6, the control unit 110 gives a mesh so that the corners of the “fillet” portion are aligned in two rows. As described above, the control unit 110 automatically recognizes the shapes of the "draw bead" portion and the "fillet" portion, and uses the "rule specified for each shape" for that location to execute finite elements. Create

In the mesh data generation step described above, the features of each surface are extracted, the shape is recognized from the classification of the surface and combined information of complex surfaces, and the shape is changed and the mesh data is generated from the recognized shape information. Highly accurate mesh can be created. In addition, shape feature extraction is performed from the input 3D CAD shape and initial free mesh, shape recognition is performed, original shape correction is performed according to the mesh rule, and mesh data is finally obtained based on shape data. Generate For this reason, three-dimensional CAD data, FEM data, and shape recognition data are linked. Then, by combining these data with the analysis result data, it is possible to associate the shape with the analysis result as described later. This will be described in detail below.

Analysis processing
(analysis)
In the analysis step, 3D CAD data is analyzed through appropriate mathematical formulation of the underlying physical laws.

Examples of types of analysis include structural analysis, heat conduction analysis, fluid analysis, electromagnetic field analysis, mechanical analysis, acoustic analysis, resin flow analysis, forging analysis, casting analysis and the like. In this embodiment, structural analysis (finite element analysis) by the finite element method will be described as an example of the type of analysis. However, it is not limited to it.

By the way, calculation input data of structural analysis is represented by nodes and elements. FIG. 7 is a schematic diagram for explaining nodes and elements represented by calculation input data of structural analysis. As shown in FIG. 7, an element is defined by a plurality of (four in the illustrated example) nodes. The nodes are represented by coordinates. The elements are managed by assigning numbers to each node. FIG. 8 is a schematic view showing an example in which nodes are numbered. As shown in FIG. 8, assuming that node 1 = (X, Y, Z) = (0, 0, 0), node 2 = (1, 0, 0), node 3 = (1, 1, 0), Node 4 = (0, 1, 0). FIG. 9 is a schematic view showing the relationship between nodes and elements. As shown in FIG. 9, “element 1” refers to a calculation area surrounded by “node 1”, “node 2”, “node 3” and “node 4”. FIG. 10 is an explanatory diagram of node information. As shown in FIG. 10, in the node information, “coordinates of X, Y, Z”, “element number”, “part number”, “number of

nodes

1, 2, 3, 4” are associated with “node number” ing.

Here, create data for analysis easily. FIG. 11 is a schematic diagram for explaining an example of fixing

nodes

3 and 4 and applying pressure to

nodes

1 and 2. As shown in FIG. 11, for example, “node 3” and “node 4” are fixed so as not to move. On the other hand, push "node 1" and "node 2" by 0.1 [mm] in the Y direction.

When using, for example, structural analysis software LS-DYNA (registered trademark) (manufactured by Livermore Software Technology Corporation) as an analysis solver, parts (combination of parts and types of elements / materials), node 1 to perform calculations. And moving the node 2 and its movement amount, fixing the

nodes

3 and 4, input information such as node information (numbers and coordinates), element information (numbers of related parts and nodes), etc. It is input. That is, these pieces of information do not include shape information.

FIG. 12 is a chart showing an example of the calculation result R output from the analysis solver. In the example shown in FIG. 12, data of an analysis result file representing stress for each element is shown. The data of the analysis result file includes an element number (calculation position), stress information for each element (each calculation position), and plastic strain information for each element. However, like the input information, these pieces of information do not include shape information.

Next, the inconvenience in examining the analysis result will be described below with reference to FIGS. 13A to 17.

FIG. 13A is a three-dimensional view showing an example in which a part PT including a U-shaped cross section is divided by a surface. FIG. 13B is a front view of the part PT shown in FIG. 13A. Here, “Surface” means one unit that constitutes a part PT in three-dimensional CAD data. FIG. 14A is a front view showing an actual part PT. FIG. 14B is a perspective view showing part PT showing FIG. 14A.

As shown in FIG. 13A, in order to grasp the position of the part PT, for convenience, the part PT is divided by Surface, handled as another part, and numbers are given to each. For example, as shown in FIG. 13B, the part PT is divided into column A to column I in the vertical direction and rows 1 to 3 in the horizontal direction. Then, the surface number on the upper left is 1 row A column (1-A), and the surface number on the upper right is 1 row I column (1-I). Also, the surface number on the lower left is 3 rows A column (3-A), and the surface number on the lower right is 3 rows I column (3-I). Then, a plurality of consecutive Surfaces constitute a Feature. For example, when Surface is 1 row A to 3 rows A column as Feature No. 1, when Surface is 1 row B to 3 rows B column as Feature No. 2, Surface is 1 row as Feature No. 9 There can be mentioned the case of I column to 3 rows and I column. However, the actual product is one part (see FIGS. 14A and 14B).

FIG. 15A is a plan view showing a state before the upper end of the plate BD collides with the part PT shown in FIG. 13A to FIG. 14B. FIG. 15B is a plan view showing a state after the upper end of the plate BD is made to collide with the part PT shown in FIG. 13A to FIG. 14B. FIG. 16A is an enlarged perspective view showing a γ portion of the part PT shown in FIG. 15B. FIG. 16B is an explanatory diagram of a γ portion shown in FIG. 16A and a calculation result thereof. FIG. 17 is a front view showing an actual part PT in which the plate BD is collided at the upper end.

As shown in FIG. 15A, when the plate BD is caused to collide at, for example, 100 km / h, as shown in FIG. 15B, among the parts PT, only the α part is greatly deformed. It is desirable for the user to obtain only the information of the "first line" with large deformation in order to consider how much influence the component PT has and how much reinforcement should be made.

However, as shown in FIG. 16B, the calculation result R outputs data of all calculation models. The calculation result R does not know the element number of the desired part in a list of numbers. Therefore, it is very difficult to extract necessary information. In other words, the numbers of elements and nodes are nearly impossible to order in the actual product equivalent of very large scale. Thus, the numbering of elements and nodes depends on the analysis solver. Therefore, it can not be known unless the analysis solver outputs the element or node number in which part. Then, as shown in FIG. 17, since the actual product is one part, it is very difficult to make the output element or node correspond to the part of the actual product.

[Post processing]
(Mesh data analysis result association)
In this regard, in the associating step, the control unit 110 associates the analysis result analyzed using the mesh data with the mesh data generated in the mesh data generating step.

FIG. 18 is a schematic view showing an example of the data structure of the database DB in which the mesh data N5 and the analysis result N6 are associated with each other. The database DB is recorded in the recording device 121.

The control unit 110 associates the analysis result N6 with the mesh data N5 to create a database DB. In the database DB, as shown in FIG. 18, assembly number N1, part number N2, feature number N3, surface number N4, mesh data N5 (node number N51, element number N52), and analysis result N6 Is associated and saved. In this example, the mesh data N5 is generated based on the structure analysis rule in the mesh data generation step. In the case of another analysis (for example, heat conduction analysis), the mesh data N5 is mesh data based on the rules of the other analysis (for example, heat conduction analysis).

(Part information reception)
In the part information receiving step, control unit 110 receives part information IN corresponding to the part of the product. In this example, the part information IN is at least one of an assembly number N1, a part number N2, a feature number N3, and a surface number N4.

FIG. 19 is a schematic view showing an example of the input screen G for inputting the part information IN. In the example shown in FIG. 19, when the user inputs the assembly number N1, the part number N2, the feature number N3 and the surface number N4 and inputs the analysis result button BT, the control unit 110 selects the assembly number N1, the part number N2, The feature number N3 is accepted. For example, when the user inputs only the assembly number N1 and performs input operation of the analysis result button BT, the control unit 110 receives only the assembly number N1. When the user inputs only the part number N2 and performs input operation on the analysis result button BT, the control unit 110 receives only the part number N2. When the user inputs the part number N2 and the feature number N3 and performs an input operation on the analysis result button BT, the control unit 110 receives the part number N2 and the feature number N3. In addition, when the user inputs the part number N2 and the surface number N4 and performs an input operation on the analysis result button BT, the control unit 110 receives the part number N2 and the surface number N4.

(Mesh data specified)
In the mesh data specifying step, the control unit 110 specifies the mesh data N5 corresponding to the part information IN from the received part information IN (assembly number N1, part number N2, feature number N3, surface number N4) using the database DB.

(Analysis result extraction)
In the analysis result extraction step, the control unit 110 extracts an analysis result N6 corresponding to the mesh data N5 from the mesh data N5 specified in the mesh data specifying step using the database DB.

FIGS. 20 to 22 show more detailed data structures of the database DB shown in FIG. FIG. 20 is a schematic diagram showing a data structure in which the node number N51 is associated with coordinate information. FIG. 21 is a schematic diagram showing a data structure in which the element number N52 and the part number N2 are associated with the node number N51. FIG. 22 is a schematic view showing a data structure in which the element number N52 and the analysis result N6 are associated with each other.

As shown in FIG. 20, the node number N51 is associated with the values of the X, Y, and Z coordinates. As shown in FIG. 21, the element number N52 and the part number N2 are associated with the element information (node number N51). Further, the element number N52 and the analysis result N6 (in this example, stress / strain information) are associated. Thus, the analysis result N6 can be easily extracted from the mesh data N5 (node number N51, element number N52).

(Analysis result output)
In the analysis result output step, the control unit 110 uses the analysis result N6 extracted in the analysis result extraction step as a name (for example, a name (eg, assembly number N1, part number N2, feature number N3, surface number N4) corresponding to the part information IN). It is output to the display device 141 or the printing device 142 together with the assembly name, the part name, the feature name, and the surface name.

Next, advantages of associating the mesh data N5 with the analysis result N6 will be described below with reference to FIGS. 23 to 25B.

FIG. 23 is a three-dimensional view in which mesh data is given to the part PT. FIG. 24 is a three-dimensional view in which mesh data is given to the part PT in which the plate BD is collided at the upper end. FIG. 25 is a three-dimensional view in which mesh data is given to the part PT in which the plate BD is collided in the middle part.

As shown in FIGS. 23 and 24, when, for example, the user desires the analysis result N6 of only the part of the surface number (1-D) (see the β part in FIGS. 23 and 24), the control unit 110 The analysis result N6 of only the part of the number (1-D) is output. As shown in FIG. 25, in actuality (actual phenomenon / calculation result), when the condition changes, it is not clear where the problem will occur before the analysis result is output. However, in the conventional configuration, it is impossible to separate the site conveniently in advance. In this respect, in the present embodiment, the mesh data for each type of analysis and the analysis result N6 (specifically, FEM data, analysis result data) are linked. Thereby, an arbitrary part can be designated and the analysis result N6 corresponding to the part can be extracted. Therefore, it is possible to make post-processing efficient.

(About the present embodiment)
According to the present embodiment, the user inputs, from the input screen G, part information IN (in this example, the assembly number N1, the part number N2, the feature number N3 and the surface number N4) corresponding to the desired part. Then, control unit 110 receives part information input from input screen G. Then, the control unit 110 specifies the mesh data N5 from the received part information, and extracts an analysis result N6 associated with the mesh data N5 from the specified mesh data N5. Thus, the analysis result N6 can be easily searched from the part information input from the input screen G. Therefore, the user does not have to find out the analysis result N6 of the desired part from the huge amount of analysis results N6, and can obtain the analysis result N6 of the desired part. Therefore, it is possible to reduce the burden on the user for finding out the analysis result N6 of the desired part. In addition, the working time can be shortened, which in turn can reduce the working cost.

In the present embodiment, the analysis result evaluation step evaluates the analysis result N6 extracted in the analysis result extraction step. Then, in the analysis result output step, the evaluation result evaluated in the analysis result evaluation step is displayed on the display device 141 or printed on the printing device 142. By doing this, the user can easily recognize whether or not a desired site exhibits a desired function under analysis conditions of various analyzes.

In the present embodiment, the analysis result evaluation step evaluates the analysis result N6 extracted in the analysis result extraction step based on the design standard. By doing this, the user can recognize whether or not the desired part of the analysis condition with respect to the various analysis conditions. For example, the analysis result evaluation step can determine whether the maximum value of the analysis result N6 exceeds the design reference value. The analysis result evaluation step can determine whether the minimum value of the analysis result N6 falls below the design reference value. Alternatively, the analysis result evaluation step can determine whether the average value of the analysis result N6 falls within a predetermined design standard range.

In the present embodiment, the analysis result evaluation step evaluates the analysis result N6 extracted in the analysis result extraction step based on the distribution of the analysis result N6. By doing this, the user can recognize whether or not the distribution of the analysis result N6 of the desired portion under analysis conditions of various analyzes is possible. For example, in the analysis result output step, the distribution of the analysis result N6 evaluated in the analysis result evaluation step can be displayed on the display device 141 or can be printed on the printing device 142. Thereby, the distribution of the analysis result N6 can be used as a judgment material by the user of the desired part.

(Other embodiments)
The analysis result evaluation step (analysis result evaluation unit Q9) may have a learning function for the purpose of evaluation of the analysis result N6 using an artificial intelligence (AI) technique. For example, the analysis result N6 is given to the computer, and the evaluation pattern and the evaluation criteria are analyzed and learned with respect to the analysis result N6. This makes it possible to obtain highly accurate evaluation autonomously.

The present invention is not limited to the embodiments described above, and can be implemented in other various forms. Therefore, such an embodiment is merely illustrative in every point and should not be interpreted in a limited manner. The scope of the present invention is indicated by the scope of the claims, and is not limited at all by the text of the specification. Furthermore, all variations and modifications that fall within the equivalent scope of the claims fall within the scope of the present invention.

The present invention relates to an analysis result extraction apparatus, an analysis result extraction method, and an analysis result extraction program, and in particular, reduces the work load on the user for finding out an analysis result of a desired part and shortens the operation time. Therefore, the present invention can be applied to applications for reducing work costs.

100 analysis device 101 analysis result extraction device 110 control unit 120 storage unit 130 reading unit 140 display printing unit BD plate BT analysis result button DB database G input screen IN part information N1 assembly number N2 part number N3 feature number N3 feature number N4 surface number N5 mesh data N6 Analysis result P Analysis result extraction program PT Part Q1 3D CAD data input unit Q2 Shape recognition unit Q3 Mesh data generation unit Q4 Analysis unit Q5 Association unit Q6 Part information reception unit Q7 Mesh data specification unit Q8 Analysis result extraction unit Q9 Analysis result Evaluation part Q10 Analysis result output part R Calculation result

Claims

An association unit which relates an analysis result analyzed using mesh data generated from shape data of a product created by three-dimensional CAD for each part information of the product to the mesh data;
A part information receiving unit that receives part information of the product;
A mesh data specification unit that specifies the mesh data corresponding to the part information from the part information received by the part information reception unit;
And an analysis result extraction unit for extracting the analysis result corresponding to the mesh data from the mesh data specified by the mesh data specification unit.
The analysis result extraction apparatus according to claim 1, wherein
A shape recognition unit that recognizes a shape based on shape data of the product created by the three-dimensional CAD;
It further comprises a mesh data generation unit that generates mesh data associated with each part information of the product based on the shape recognition data of the shape recognized by the shape recognition unit,
The analysis result extraction apparatus characterized in that the association unit associates an analysis result analyzed using the mesh data with the mesh data generated by the mesh data generation unit.
The analysis result extraction apparatus according to claim 2, wherein
The analysis result extraction apparatus, wherein the mesh data generation unit generates the mesh data based on a rule for each type of analysis.
The analysis result extraction device according to any one of claims 1 to 3, wherein
An analysis result extraction apparatus characterized by further comprising an analysis result evaluation unit for evaluating the analysis result extracted by the analysis result extraction unit.
The analysis result extraction apparatus according to claim 4, wherein
An analysis result extraction apparatus characterized in that the analysis result evaluation unit evaluates the analysis result extracted by the analysis result extraction unit based on a design standard.
The analysis result extraction apparatus according to claim 4 or 5, wherein
An analysis result extraction apparatus characterized in that the analysis result evaluation unit evaluates the analysis result extracted by the analysis result extraction unit based on a distribution of the analysis result.
Associating, with the mesh data, an analysis result analyzed using mesh data generated from shape data of a product created by three-dimensional CAD in association with each part information of the product;
A site information receiving step of receiving site information of the product;
A mesh data specifying step of specifying the mesh data corresponding to the part information from the part information received in the part information receiving step;
An analysis result extraction step of extracting the analysis result corresponding to the mesh data from the mesh data specified in the mesh data specifying step.
The analysis result extraction program for making a computer perform each step of the analysis result extraction method of Claim 7.