Forging wrinkle and defect prediction device, forging wrinkle and defect prediction method, and forging wrinkle and defect prediction program

Abstract

The challenge is to efficiently predict whether or not wrinkles or defects will occur during forging. [Solution] The forging wrinkle and defect prediction device 10 generates an analysis mesh of the molded product model, calculates the pre-molding surface area and post-molding surface area of ​​the mesh in each molding process, and calculates the surface expansion ratio based on the pre-molding surface area and post-molding surface area. The forging wrinkle and defect prediction device 10 then calculates the surface pressure at each mesh. Subsequently, the forging wrinkle and defect prediction device 10 predicts the presence or absence of wrinkles and defects based on the surface expansion ratio and surface pressure.

Description

Technical Field

[0001] The present invention relates to a forging wrinkle and crack prediction device, a forging wrinkle and crack prediction method, and a forging wrinkle and crack prediction program that can efficiently predict the presence or absence of the occurrence of wrinkle and crack phenomena in forging.

Background Art

[0002] Conventionally, forging is often performed by applying a large force to a lump of metal in the form of an ingot or a cylinder by hitting it with a hammer or a mold and plastically deforming it to form a shape. During such forging, closed cracks may occur when the material is combined during the engraving of the mold.

[0003] Therefore, a technique for predicting in advance the location where cracks occur during forging using analysis techniques is known. For example, Patent Document 1 discloses a method for evaluating the risk of defect occurrence using numerical simulation by the finite element method in the forging process (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, the above Patent Document 1 obtains the initial area of the simulation model, calculates the difference between the surface area after forging and the initial area in a plurality of forging processes, and specifies that there is a risk of defect occurrence when the degree of decrease in the surface area is greater than a predetermined threshold value, but does not specify wrinkle and crack. In particular, when forging is performed to fit the molded product into a mold, wrinkle and crack occur due to the change in the surface area of the molded product, but according to the above Patent Document 1, the occurrence of such wrinkle and crack cannot be predicted.

[0006] The present invention was made to solve the problems (issues) of the above-mentioned prior art, and aims to provide a forging wrinkle prediction device, a forging wrinkle prediction method, and a forging wrinkle prediction program that can efficiently predict whether or not wrinkles occur during forging. [Means for solving the problem]

[0007] To solve the above-mentioned problems and achieve the objective, the present invention provides a forging wrinkle and scratch prediction device for predicting the presence or absence of wrinkle and scratch phenomena when a molded product model of a forged product is forged in multiple molding processes, characterized in that it comprises: a mesh generation means for generating an analytical mesh for the molded product model; a surface expansion ratio calculation means for calculating a surface expansion ratio based on the amount of change of the analytical mesh in each molding process; a surface pressure calculation means for calculating a surface pressure based on the stress applied to the analytical mesh in each molding process; and a prediction means for predicting the presence or absence of wrinkle and scratch phenomena occurring in the molded product based on the surface expansion ratio and the surface pressure.

[0008] Furthermore, the present invention is characterized in that, in the above invention, the surface expansion ratio calculation means calculates the surface expansion ratio based on the change in surface area of ​​the analysis mesh before molding and after molding in each molding process.

[0009] Furthermore, the present invention is characterized in that, in the above invention, the surface pressure calculation means calculates the surface pressure based on the average value of the stress applied to a plurality of nodes that form the analytical mesh in each molding process.

[0010] Furthermore, the present invention is characterized in that, in the above invention, the prediction means predicts that the wrinkle scratch phenomenon will occur or may occur when the surface magnification is smaller than a predetermined threshold and the surface pressure is smaller than a predetermined threshold.

[0011] Furthermore, the present invention is characterized in that, in the above invention, the prediction means predicts that the wrinkle scratch phenomenon will not occur when the surface magnification ratio is greater than a predetermined threshold, or when the surface magnification ratio is less than a predetermined threshold and the surface pressure is greater than a predetermined threshold.

[0012] Furthermore, the present invention further comprises a surface pressure difference calculation means for calculating the surface pressure difference between the analysis meshes in a region where the surface magnification ratio is smaller than a predetermined threshold, wherein the prediction means predicts that the wrinkle scratch phenomenon will occur or may occur when the surface magnification ratio is smaller than a predetermined threshold and the surface pressure difference is larger than a predetermined threshold.

[0013] Furthermore, the present invention further comprises a differential value calculation means for calculating the differential value between the first surface pressure of the analytical mesh in the first molding step of the molding process and the second surface pressure of the analytical mesh in the second molding step after the first molding step, wherein the prediction means predicts that the wrinkle scratch phenomenon will not occur when the surface magnification is smaller than a predetermined threshold and the differential value is greater than a predetermined threshold.

[0014] Furthermore, the present invention relates to a forging wrinkle prediction device for predicting the presence or absence of wrinkles and scratches when a molded product model of a molded product subjected to forging is forged in multiple molding processes, and is characterized by comprising: a mesh generation step of generating an analytical mesh for the molded product model; a surface expansion ratio calculation step of calculating a surface expansion ratio based on the amount of change of the analytical mesh in each molding process; a surface pressure calculation step of calculating a surface pressure based on the stress applied to the analytical mesh in each molding process; and a prediction step of predicting the presence or absence of the wrinkles and scratches occurring in the molded product based on the surface expansion ratio and the surface pressure.

[0015] The present invention also relates to a forging wrinkle and crack prediction program executed by a forging wrinkle and crack prediction device that predicts the presence or absence of wrinkle and crack phenomena when a formed object model for forging is forged in a plurality of forming steps. The program causes a computer to execute: a mesh generation procedure for generating an analysis mesh of the formed object model; a surface expansion rate calculation procedure for calculating a surface expansion rate based on the change amount of the analysis mesh in each forming step; a surface pressure calculation procedure for calculating a surface pressure based on the stress applied to the analysis mesh in each forming step; and a prediction procedure for predicting the presence or absence of the wrinkle and crack phenomenon occurring in the formed object based on the surface expansion rate and the surface pressure.

Advantages of the Invention

[0016] According to the present invention, it is possible to efficiently predict the occurrence of wrinkle and crack phenomena in forging.

Brief Description of the Drawings

[0017] [Figure 1] FIG. 1 is a diagram showing an overview of a forging wrinkle and crack prediction device according to Embodiment 1. [Figure 2] FIG. 2 is a functional block diagram showing the configuration of the forging wrinkle and crack prediction device shown in FIG. 1. [Figure 3] FIG. 3 is a diagram showing an example of the generation of an analysis mesh. [Figure 4] FIG. 4 is an explanatory diagram for explaining the relationship between the surface expansion rate and the surface pressure related to wrinkles and cracks. [Figure 5] FIG. 5 is a diagram showing an example of the calculation result of the surface expansion rate. [Figure 6] FIG. 6 is a diagram showing an example of the calculation result of the surface pressure. [Figure 7] FIG. 7 is an explanatory diagram for explaining the prediction of the presence or absence of wrinkle and crack phenomena. [Figure 8] FIG. 8 is a flowchart showing the processing procedure of the forging wrinkle and crack prediction device shown in FIG. 2. [Figure 9] FIG. 9 is a diagram showing an overview of a forging wrinkle and crack prediction device according to Embodiment 2. [Figure 10]FIG. 10 is a diagram showing an overview of the forging wrinkle and flaw prediction apparatus according to Embodiment 3. [Figure 11] FIG. 11 is a diagram showing an example of a hardware configuration. Embodiments for Carrying Out the Invention

[0018] Hereinafter, embodiments of the forging wrinkle and flaw prediction apparatus, the forging wrinkle and flaw prediction method, and the forging wrinkle and flaw prediction program according to the present invention will be described in detail based on the drawings.

[0019] [Embodiment 1] The overview of the forging wrinkle and flaw prediction apparatus 10 according to Embodiment 1 will be described. FIG. 1 is an explanatory diagram for explaining the overview of the forging wrinkle and flaw prediction apparatus 10 according to Embodiment 1.

[0020] <Overview of the forging wrinkle and flaw prediction apparatus 10> As shown in FIG. 1(a), the manufacturing of a product using a conventional forging technique involves performing the shaping of the product through a plurality of forming steps. Here, in forming step 1, a formed object is prepared, and shaping is repeated for each part in each forming step. After passing through forming step 60, the state where the shaping is completed in forming step 100 is shown. During forging, the shape generated by the overlapping of the material inside the mold used for forging is called a "wrinkle and flaw", and generally, prior prediction of the occurrence location is performed using analysis.

[0021] However, in the analysis, due to the reconstruction of the mesh for analysis accompanying plastic deformation, the shape of the wrinkle and flaw becomes invisible, so it is necessary to sequentially observe the forming process to discover the wrinkle and flaw.

[0022] As shown in Figure 1(b), the present invention calculates the surface expansion ratio and surface pressure based on the molded product model in each forming step of forging and predicts the presence or absence of defects. The forging wrinkle and defect prediction device 10 generates an analysis mesh for the molded product model. The forging wrinkle and defect prediction device 10 then calculates the pre-forming surface area and the post-forming surface area for a certain forming step at each mesh based on the analysis mesh, and calculates the surface expansion ratio based on the pre-forming surface area and the post-forming surface area.

[0023] Here, if the calculated surface area of ​​the mesh after molding is smaller than the surface area of ​​the same mesh before molding, the surface expansion ratio becomes a negative value. Subsequently, the forging wrinkle and defect prediction device 10 calculates the surface pressure at the nodes of each mesh. Then, the forging wrinkle and defect prediction device 10 predicts the presence or absence of wrinkles and defects based on the surface expansion ratio and surface pressure.

[0024] <Configuration of the forging wrinkle and scratch prediction device 10> Next, the configuration of the forging wrinkle and defect prediction device 10 shown in Figure 1 will be described. Figure 2 is a functional block diagram showing the configuration of the forging wrinkle and defect prediction device 10 shown in Figure 1. As shown in Figure 2, the forging wrinkle and defect prediction device 10 has a display unit 11, an input unit 12, a storage unit 14, and a control unit 15. The display unit 11 is a display device such as a liquid crystal display that displays various information. The input unit 12 is an input device such as a mouse or keyboard.

[0025] The storage unit 14 is a storage device such as a hard disk drive or non-volatile memory, and stores forging process data 14a, mesh data 14b, surface expansion ratio data 14c, and surface pressure data 14d. The forging process data 14a is data of the molded product model in each molding process using forging technology. The mesh data 14b is data of the mesh generated on the surface of the molded product model for the purpose of analyzing the molded product model. The surface expansion ratio data 14c is data of the surface expansion ratio calculated based on the pre-molding surface area of ​​each mesh in a molding process, and the post-molding surface area of ​​the same mesh after molding in that molding process, using the analysis mesh as a basis. The surface pressure data 14d is data of the surface pressure calculated at the nodes of the analysis mesh.

[0026] The control unit 15 is a control unit that controls the entire forging wrinkle and defect prediction device 10, and includes a mesh generation unit 15a (corresponding to the "mesh generation means" in the claim), a surface magnification ratio calculation unit 15b (corresponding to the "surface magnification ratio calculation means" in the claim), a surface pressure calculation unit 15c (corresponding to the "surface pressure calculation means" in the claim), and a prediction unit 15d (corresponding to the "prediction means" in the claim). In practice, by loading these programs into the CPU and executing them, the processes corresponding to the mesh generation unit 15a, the surface magnification ratio calculation unit 15b, the surface pressure calculation unit 15c, and the prediction unit 15d are executed, respectively.

[0027] The mesh generation unit 15a is a processing unit that generates a mesh for analysis on the molded product model. The size of the generated mesh is varied according to the shape of the molded product model. For example, as shown in Figure 3(a), for a part of the molded product model A, a fine mesh is generated in the area where the shape of the molded product model changes. Also, as shown in Figure 3(b), for a part of the molded product model B, a fine mesh is generated along the changes in the shape of the molded product model. The generated mesh data is stored in the storage unit 14 as mesh data 14b, associated with the forging process ID. Here, the case of generating a triangular mesh using the diagonal of a rectangle is described, but any triangular mesh may be generated. The shape of the mesh may also be a quadrilateral, hexagon, etc.

[0028] The surface expansion ratio calculation unit 15b is a processing unit that calculates the surface expansion ratio of the mesh generated in the molded product model in each forming process of forging. Specifically, in a certain forming process, it calculates the surface area Surf(t) before forming in that forming process. Then, the surface expansion ratio calculation unit 15b calculates the surface area Surf(t+dt) after forming in that forming process. After that, the surface expansion ratio calculation unit 15b calculates the surface expansion ratio dSurf(t+dt) using the calculation formula shown in equation (1).

[0029]

number

[0030] The surface pressure calculation unit 15c is a processing unit that calculates the surface pressure applied from the mold to the molded product model based on the stress at each mesh node. Specifically, the surface pressure P is calculated based on the stress σ in the X-axis direction at the mesh nodes. 11 And the stress σ in the Y-axis direction 22 And the stress σ in the Z-axis direction 33 Based on this, it is calculated using equation (2). Here, the surface pressure P is the average value of the stress.

[0031]

number

[0032] The prediction unit 15d is a processing unit that predicts whether or not a wrinkle scratch phenomenon will occur based on the surface magnification and surface pressure of each mesh. The prediction unit 15d predicts that a wrinkle scratch phenomenon will occur or may occur when the surface magnification is less than a predetermined threshold and the surface pressure is lower than a predetermined threshold, and predicts that a wrinkle scratch phenomenon will not occur when the surface magnification is greater than a predetermined threshold, or when the surface magnification is less than a predetermined threshold and the surface pressure is higher than a predetermined threshold.

[0033] Here, we will explain the relationship between surface expansion ratio and surface pressure related to the wrinkle and scratch phenomenon using Figure 4. As shown in Figure 4(a), when a heated molded product W is filled into a mold M, the molded product in the filled area flows into the unfilled area, causing a reduction in surface area (the surface expansion ratio becomes negative).

[0034] As shown in Figure 4(b), wrinkles and scratches occur in the areas where the surface area has been reduced. However, in this state, if a surface pressure exceeding a predetermined threshold is applied to the molded product W from the mold M, as shown in Figure 4(c), the surface pressure applies a force that stretches the wrinkles and scratches, and ultimately the wrinkles and scratches are eliminated. Therefore, the prediction of wrinkles and scratches must be made according to the relationship between the surface magnification and the surface pressure.

[0035] <An example of the calculation result of surface magnification> Next, an example of the calculation result of the surface magnification ratio of the forging wrinkle and defect prediction device 10 will be explained. Figure 5 is a diagram showing an example of the calculation result of the surface magnification ratio. As shown in Figure 5(a), in region A of the molded product model, for example, the distribution of the surface magnification ratio of the molded product model 110 calculated by the surface magnification ratio calculation unit 15b in the molding process 60 can be obtained. Then, in the molding process 60, regions where the surface magnification ratio is negative will be shown. Here, a negative surface magnification ratio indicates that the surface area of ​​the mesh is smaller (shrinks) at the beginning and end of the molding process 60.

[0036] As the molding process progresses, Figure 5(b) shows the distribution of surface expansion ratios in region A of the molded product model 110, as calculated by the surface expansion ratio calculation unit 15b in the molding process 100. As shown in Figure 5(b), it is evident that there are areas where the surface expansion ratio values ​​are smaller compared to the molding process 60.

[0037] Then, as shown in Figure 5(c), in region B of the molded product model, for example, the distribution of surface expansion ratios of the molded product model 110 calculated by the surface expansion ratio calculation unit 15b in molding process 60 can be determined. In molding process 60, regions with negative surface expansion ratios are shown. As molding progresses, in molding process 100, as shown in Figure 5(d), the distribution of surface expansion ratios in region B of the molded product model 110 calculated by the surface expansion ratio calculation unit 15b shows that there are areas where the surface expansion ratio values ​​are smaller compared to molding process 60. A large negative surface expansion ratio indicates that the material is shrinking in a certain mesh of the molded product model 110, and that this is an area where the occurrence of wrinkles and scratches is highly likely.

[0038] <Example of surface pressure calculation result> Next, an example of the surface pressure calculation results of the forging wrinkle and defect prediction device 10 will be explained. Figure 6 shows an example of the surface pressure calculation results. As shown in Figure 6(a), in region A of the molded product model, for example, in molding process 60, the surface pressure distribution of the molded product model 110 calculated by the surface pressure calculation unit 15c can be obtained. Then, as molding progresses, in molding process 100, Figure 6(b) shows the surface pressure distribution of the molded product model 110 in region A calculated by the surface pressure calculation unit 15c. As shown in Figure 6(b), in region A, the surface pressure does not increase even as the molding process progresses.

[0039] Furthermore, Figure 6(c) shows the distribution of surface pressure in region B of the molded product model 110. As shown in Figure 6(c), region B of the molded product model 110 has areas with higher surface pressure compared to the surrounding areas. Subsequently, as molding progresses, Figure 6(d) shows the distribution of surface pressure in region B of the molded product model 110 calculated by the surface pressure calculation unit 15c in the molding process 100. As shown in Figure 6(d), region B has areas where the surface pressure becomes even higher as the molding process progresses.

[0040] <Prediction of the presence or absence of wrinkles and scratches> Next, the prediction of the presence or absence of wrinkles and scratches by the forging wrinkle prediction device 10 will be explained. Figure 7 is an explanatory diagram for explaining the prediction of the presence or absence of wrinkles and scratches. As shown in Figure 7(a), the distribution of surface magnification ratios in region A of the molded product model 110 during the molding process 100 is smaller than a predetermined threshold. Also, as shown in Figure 7(b), the distribution of surface pressure in region A of the molded product model 110 during the molding process 100 shows that in the part corresponding to the region with a small surface magnification ratio in Figure 7(a), the surface pressure is lower than a predetermined threshold. The forging wrinkle prediction device 10 predicts that wrinkles and scratches will occur or may occur when the surface magnification ratio is smaller than a predetermined threshold and the surface pressure is lower than a predetermined threshold, and therefore predicts that wrinkles and scratches will occur in region A of the molded product model 110.

[0041] On the other hand, as shown in Figure 7(c), the distribution of surface magnification in region B of the molded product model 110 during the molding process 100 is smaller than a predetermined threshold. Also, as shown in Figure 7(d), the distribution of surface pressure in region B of the molded product model 110 during the molding process 100 shows that in the area corresponding to the region with a small surface magnification in Figure 7(c), the surface pressure is higher than the predetermined threshold. The forging wrinkle and scratch prediction device 10 predicts that no wrinkle and scratch phenomenon will occur when the surface magnification is smaller than a predetermined threshold and the surface pressure is higher than a predetermined threshold. Therefore, it predicts that there will be no wrinkle and scratch phenomenon in region B of the molded product model 110.

[0042] <Processing procedure for the forging wrinkle and scratch prediction device 10> Next, the processing procedure of the forging wrinkle and defect prediction device 10 will be described. Figure 8 is a flowchart showing the processing procedure of the forging wrinkle and defect prediction device shown in Figure 2. As shown in Figure 8, the forging wrinkle and defect prediction device 10 generates a mesh for analysis of the molded product model (step S101). The forging wrinkle and defect prediction device 10 then calculates the surface area before molding and the surface area after molding of the molding process, and calculates the surface expansion ratio based on the surface area before molding and the surface area after molding (step S102).

[0043] Subsequently, the forging wrinkle and defect prediction device 10 calculates the surface pressure of each mesh (step S103). Then, the forging wrinkle and defect prediction device 10 determines whether the molding process is the final process or not (step S104). If the molding process is not the final process (step S104: No), the forging wrinkle and defect prediction device 10 reads the data of the molded product model for the next process (step S105) and proceeds to step S102.

[0044] On the other hand, if the molding process is the final process (step S104: Yes), the forging wrinkle and scratch prediction device 10 determines whether the surface expansion ratio is below a predetermined threshold (step S106). If the surface expansion ratio is not below the predetermined threshold (step S106: No), the forging wrinkle and scratch prediction device 10 predicts that the wrinkle and scratch phenomenon will not occur (step S107) and terminates the process.

[0045] On the other hand, if the surface magnification ratio is below a predetermined threshold (step S106: Yes), the forging wrinkle and scratch prediction device 10 determines whether the surface pressure is below a predetermined threshold (step S108). If the surface pressure is not below a predetermined threshold (step S108: No), the forging wrinkle and scratch prediction device 10 predicts that the wrinkle and scratch phenomenon will not occur (step S107) and terminates the process.

[0046] On the other hand, if the surface pressure is below a predetermined threshold (step S108: Yes), the forging wrinkle prediction device 10 predicts that a wrinkle phenomenon will occur or is likely to occur (step S109), and terminates the process.

[0047] As described above, in this embodiment 1, the forging wrinkle and defect prediction device 10 generates an analysis mesh for the molded product model, calculates the surface area of ​​the mesh before and after molding in the molding process, and calculates the surface expansion ratio based on the surface area before and after molding. The forging wrinkle and defect prediction device 10 then calculates the surface pressure in the mesh. Subsequently, the forging wrinkle and defect prediction device 10 is configured to predict the presence or absence of wrinkle and defect phenomena based on the surface expansion ratio and surface pressure, so that the presence or absence of wrinkle and defect phenomena in forging can be efficiently predicted.

[0048] [Embodiment 2] By the way, in Embodiment 1 described above, the case in which the presence or absence of wrinkles and scratches is predicted based on the surface magnification and surface pressure was explained, but in Embodiment 2, the case in which the presence or absence of wrinkles and scratches is predicted based on the surface magnification and surface pressure difference will be explained.

[0049] The wrinkle and defect prediction device according to Embodiment 2 includes a surface pressure difference calculation unit (corresponding to the "surface pressure difference calculation means" in the claim) for calculating the surface pressure difference between adjacent analysis meshes 30 in a predetermined molding process. Figure 9 is a diagram showing an overview of the wrinkle and defect prediction device according to Embodiment 2. As shown in Figure 9(a), when no wrinkles or defects occur, the surface pressure is high in areas with a small surface magnification. Also, as shown in Figure 9(b), when wrinkles or defects may occur, the area with low surface pressure is larger in areas with a small surface magnification compared to when no wrinkles or defects occur.

[0050] The wrinkle and scratch prediction device according to Embodiment 2 calculates the surface pressure difference between adjacent analysis meshes 30 in a region with a small surface magnification using a surface pressure difference calculation unit. For example, as shown in Figure 9(c), the maximum surface pressure difference between adjacent analysis meshes 30 when there are no wrinkles or scratches is 5 MPa, while the maximum surface pressure difference between adjacent analysis meshes 30 when there are wrinkles or scratches is 21 MPa. Therefore, the wrinkle and scratch prediction device according to Embodiment 2 predicts that wrinkles and scratches will not occur if the surface magnification is smaller than a predetermined threshold and the surface pressure difference is smaller than a predetermined threshold, and predicts that wrinkles and scratches will occur or may occur if the surface magnification is smaller than a predetermined threshold and the surface pressure difference is greater than a predetermined threshold.

[0051] In addition, the wrinkle and defect prediction device according to Embodiment 2 described above uses the maximum value of the surface pressure difference between adjacent analysis meshes 30 to predict the presence or absence of wrinkles and defects. However, the cumulative value of the surface pressure difference between adjacent analysis meshes 30 may also be used. Alternatively, the average value of the surface pressure difference between adjacent analysis meshes 30 may also be used.

[0052] [Embodiment 3] By the way, in Embodiment 1 described above, the case in which the presence or absence of wrinkles and scratches is predicted based on the surface magnification and surface pressure was explained, but in Embodiment 3, the case in which the presence or absence of wrinkles and scratches is predicted based on the surface magnification and the differential value of the surface pressure will be explained.

[0053] The wrinkle and defect prediction device according to Embodiment 3 includes a differential value calculation unit (corresponding to the "differential value calculation means" in the claim) that calculates the slope (differential value) of the change in surface pressure of the corresponding analysis mesh 30 between molding processes. Figure 10 is a diagram showing an overview of the wrinkle and defect prediction device according to Embodiment 3. As shown in Figure 10(a), the first molding process of the molding process (for example, molding process 1) shows a state in which the surface pressure of the molded product is not large. Here, we focus on a predetermined analysis mesh S.

[0054] As shown in Figure 10(b), the second molding step (for example, molding step 100) following the first molding step shows a state where surface pressure is applied to the molded product. The predetermined analytical mesh S in Figure 10(a) corresponds to the analytical mesh S' in Figure 10(b), and the differential value calculation unit of the wrinkle and defect prediction device calculates the differential value of the change between the first surface pressure of the analytical mesh S and the second surface pressure of the analytical mesh S'.

[0055] The wrinkle scratch prediction device according to Embodiment 3 predicts that no wrinkle scratch phenomenon will occur if the surface magnification is less than a predetermined threshold and the differential value of the surface pressure is greater than a predetermined threshold, and predicts that a wrinkle scratch phenomenon will occur or may occur if the surface magnification is less than a predetermined threshold and the differential value of the surface pressure is less than a predetermined threshold.

[0056] In addition, the wrinkle and defect prediction device according to Embodiment 3 described above predicts the presence or absence of wrinkles and defects using the differential value of the first surface pressure of a predetermined analytical mesh S in the first molding process and the second surface pressure of a predetermined analytical mesh S' corresponding to the analytical mesh S in the second molding process after the first molding process. However, the differential values ​​of the predetermined analytical mesh in the predetermined molding process and the molding process immediately preceding it may also be calculated, the cumulative value of the differential values ​​in all molding processes calculated, and the presence or absence of wrinkles and defects determined based on the cumulative value of the differential values ​​of the surface magnification and surface pressure.

[0057] <Relationship with hardware> Next, the correspondence between the wrinkle and scratch prediction device 10 according to this embodiment 1 and the main hardware configuration of the computer will be described. Figure 11 is a diagram showing an example of the hardware configuration.

[0058] Generally, a computer consists of components such as a CPU 81, ROM 82, RAM 83, and non-volatile memory 84, connected by a bus 85. A hard disk drive may be used instead of the non-volatile memory 84. For the sake of explanation, only the basic hardware configuration is shown.

[0059] Here, the ROM 82 or non-volatile memory 84 stores programs necessary for starting the operating system (hereinafter simply referred to as "OS"), and the CPU 81 reads and executes the OS program from the ROM 82 or non-volatile memory 84 when the power is turned on.

[0060] On the other hand, various application programs executed on the OS are stored in non-volatile memory 84, and the CPU 81 executes the application programs using RAM 83 as main memory, thereby executing the processes corresponding to the applications.

[0061] Furthermore, the forging wrinkle and scratch prediction program of the wrinkle and scratch prediction device 10 according to this embodiment 1 is stored in a non-volatile memory 84 or the like, just like other application programs, and the CPU 81 loads and executes this forging wrinkle and scratch prediction program. In the case of the wrinkle and scratch prediction device 10 according to this embodiment, the forging wrinkle and scratch prediction program, which includes routines corresponding to the mesh generation unit 15a, the surface expansion ratio calculation unit 15b, the surface pressure calculation unit 15c, and the prediction unit 15d shown in Figure 2, is stored in the non-volatile memory 84 or the like. When the CPU 81 loads and executes the forging wrinkle and scratch prediction program, a wrinkle and scratch prediction process corresponding to the mesh generation unit 15a, the surface expansion ratio calculation unit 15b, the surface pressure calculation unit 15c, and the prediction unit 15d is generated.

[0062] The configurations illustrated in each of the above embodiments are functional schematics and do not necessarily have to be physically represented as shown. In other words, the distributed and integrated forms of each device are not limited to those shown, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads and usage conditions. [Industrial applicability]

[0063] The forging wrinkle and defect prediction device, forging wrinkle and defect prediction method, and forging wrinkle and defect prediction program according to the present invention are suitable for efficiently predicting whether or not wrinkle and defect phenomena occur in forging processes. [Explanation of Symbols]

[0064] 10. Forging wrinkle and scratch prediction device 11 Display section 12 Input section 14 Storage section 14a Forging process data 14b Mesh data 14c surface magnification data 14d Surface pressure data 15 Control Unit 15a Mesh generation section 15b Surface Magnification Calculation Unit 15c Surface pressure calculation section 15d Prediction Unit 30 mesh 81 CPU 82 ROM 83 RAM 84 Non-volatile memory 85 Bus 110 Molded Models

Claims

1. A forging wrinkle and defect prediction device that predicts the presence or absence of wrinkles and defects when a molded product model of a forged product is forged in multiple molding processes, A mesh generation means for generating an analysis mesh for the molded product model, A surface expansion ratio calculation means that calculates the surface expansion ratio based on the amount of change in the analytical mesh in each molding process, A surface pressure calculation means that calculates surface pressure based on the stress applied to the analysis mesh in each molding process, A prediction means for predicting the presence or absence of the wrinkle and scratch phenomenon occurring in the molded product based on the surface magnification and surface pressure, A forging wrinkle and scratch prediction device characterized by being equipped with the following.

2. The surface magnification calculation means is The forging wrinkle and defect prediction device according to claim 1, characterized in that the surface expansion ratio is calculated based on the change in surface area of ​​the analysis mesh before molding and after molding in each molding process.

3. The surface pressure calculation means is The forging wrinkle and defect prediction device according to claim 1, characterized in that the surface pressure is calculated based on the average value of the stress applied to a plurality of nodes that form the analytical mesh in each molding process.

4. The prediction means is The forging wrinkle prediction device according to claim 1, characterized in that the wrinkle scratch phenomenon occurs or is predicted to occur when the surface expansion ratio is smaller than a predetermined threshold and the surface pressure is smaller than a predetermined threshold.

5. The prediction means is The forging wrinkle and scratch prediction device according to claim 1, characterized in that it predicts that the wrinkle and scratch phenomenon will not occur when the surface magnification ratio is greater than a predetermined threshold, or when the surface magnification ratio is less than a predetermined threshold and the surface pressure is greater than a predetermined threshold.

6. The system further comprises a surface pressure difference calculation means for calculating the surface pressure difference between the analysis meshes in a region where the surface magnification ratio is smaller than a predetermined threshold, The prediction means is The forging wrinkle prediction device according to claim 1, characterized in that the wrinkle scratch phenomenon occurs or is predicted to occur when the surface expansion ratio is smaller than a predetermined threshold and the surface pressure difference is greater than a predetermined threshold.

7. The system further includes a differential value calculation means for calculating the differential value of the first surface pressure of the analytical mesh in the first molding step of the molding process and the second surface pressure of the analytical mesh in the second molding step after the first molding step. The prediction means is The forging wrinkle and scratch prediction device according to claim 1, characterized in that it predicts that the wrinkle and scratch phenomenon will not occur when the surface magnification ratio is smaller than a predetermined threshold and the differential value is greater than a predetermined threshold.

8. A forging wrinkle prediction device for predicting the presence or absence of wrinkles when a molded product model of a forged product is forged in multiple molding processes, and a forging wrinkle prediction method for a forging wrinkle prediction device, A mesh generation step for generating an analysis mesh for the molded product model, A surface expansion ratio calculation step that calculates the surface expansion ratio based on the amount of change in the analytical mesh in each molding process, A surface pressure calculation step that calculates the surface pressure based on the stress applied to the analysis mesh in each molding process, A prediction step of predicting whether or not the wrinkle and scratch phenomenon occurs in the molded product based on the surface magnification ratio and the surface pressure, A method for predicting forging wrinkles and scratches, characterized by including [a specific element].

9. A forging wrinkle prediction program executed by a forging wrinkle prediction device that predicts the presence or absence of wrinkles when a molded product model of a forged product is forged in multiple molding processes, A mesh generation procedure for generating an analysis mesh for the molded product model, A procedure for calculating the surface expansion ratio, which calculates the surface expansion ratio based on the amount of change in the analytical mesh in each molding process, A surface pressure calculation procedure for calculating surface pressure based on the stress applied to the analytical mesh in each molding process, A prediction procedure for predicting the presence or absence of the wrinkle and scratch phenomenon occurring in the molded product based on the surface magnification and surface pressure, and A forging wrinkle and scratch prediction program characterized by having a computer execute the following.

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