JP2017006970A - Forging type design support device and forging type design support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To quantitatively evaluate a quantity of a burr and output of the barr in design time, when manufacturing a forging product.SOLUTION: A processing unit 10 of a forging type design support device 100 comprises a forging analysis part 104 for calculating a raw material shape after forging, by simulating a process of forging a raw material by a forging die, by using product shape data 201, forging die dimension data 202, raw material dimension data 203 and analysis condition data 204 inputted via an input-output device 30 and a burr cross-sectional area/length data calculation part 106 for calculating its burr cross-sectional area or the burr length, by extracting a burr part from a raw material shape after forging calculated by a forging analysis part 104, by using its burr determination condition data 208, by inputting burr determination condition data 208 for determining a burr via the input-output device 30.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a forging die design support apparatus and a forging die design support method that support forging die design.

  When designing a forging die for a twisted shape forging product such as a turbine blade, the designer must be able to manufacture the forging product, and further reduce the input weight of the material as much as possible while avoiding the occurrence of chipping. It is necessary to confirm that Therefore, the designer uses a rigid plastic finite element method or the like to analyze the force acting during punching and the state of material flow for multiple sections of the forging die, and from the analysis results, the moment and load applied to the manufacturing equipment are analyzed. And the shape of the forging die was determined.

  By the way, forging methods of twisted forging products include a finish forging method forging into a twisted shape and a flat forging method in which twisting is performed after forging. It is advantageous. However, in the finish forging method, since the moment applied to the material increases, the material moves, and this movement often causes a lack of thickness. The moment is affected by the stamping angle, the position and orientation of the material, and the position and orientation of the material affects the amount and exit of burrs. Therefore, in the design of a forging die, it is indispensable to fully study the influence of the moment, particularly to confirm the presence or absence of a lack of wall.

  As described above, in designing the forging die, the designer determines the shape of the forging die, and then performs analysis calculation to confirm the possibility of manufacturing and the presence or absence of a lack of wall. As a result of the confirmation, if the manufacture is not possible or if a shortage occurs, the designer changes the shape of the forging die, re-executes the analysis calculation, and checks the availability of the manufacture and the presence or absence of the shortage. repeat. As described above, it is necessary to evaluate the moment applied to the manufacturing apparatus in order to determine whether or not manufacturing is possible, but this depends on the position and orientation of the material. At present, the position and orientation of the material are determined by the skilled person confirming the amount of burr obtained from the analysis, the manner in which it is obtained, and the presence or absence of lack of meat each time, and changing it repeatedly based on experience. For this reason, designing a forging die requires a lot of man-hours and requires know-how of a skilled worker.

  For example, Patent Document 1 discloses an example of a forging die design support apparatus that supports a roll die design by a computer. Further, in Patent Document 2, it is determined whether or not a forged product has a lack of thickness, and whether or not the lack of a forging product is within an acceptable range. An example of a lack inspection apparatus that is easily and accurately performed is disclosed.

JP-A-11-96201 JP 2008-188615 A

  However, the forging die design support apparatus disclosed in Patent Document 1 supports the design of a roll die used for rolling, and the design parameters used in the design are the design of the forging die for forging. It is very different from the design parameters used in For this reason, it is difficult to use the forging die design support device disclosed in Patent Document 1 as a forging die design support device.

  In addition, although the lack inspection apparatus described in Patent Document 2 can determine the presence or absence of lack, it is not possible to sufficiently evaluate the amount of burrs and how the burrs appear. Further, even when determining the presence or absence of a thin wall, it is difficult to use this method as a design support method because it is necessary to measure the weight of a forged product and the weight of a burr.

  Therefore, an object of the present invention is to provide a forging die design support apparatus and a forging die design support method that can quantitatively evaluate the amount of burrs and the manner in which burrs appear during the production of forged products.

  The forging die design support apparatus according to the present invention includes a processing device, a storage device, and an input / output device, and the processing device receives the product shape data of the forged product and the dimensions of the forging die via the input / output device. Data, material dimension data, and analysis condition data including parameters of the forging simulation model are input, and the process of forging the material by the forging die is simulated using the input data. The forging simulation unit for calculating the shape data of the material and the burr determination condition data for determining the burr generated in the forging process are input via the input / output device, and the burr determination condition data is used. The burr portion is extracted from the shape data of the material after forging calculated by the forging simulation unit. And validators calculation unit for calculating a value of at least one data representative of the amount or size, characterized in that it comprises a.

  According to the present invention, there are provided a forging die design support apparatus and a forging die design support method that can quantitatively evaluate the amount of burrs and the manner in which burrs are produced during the production of forged products.

The figure which showed the example of the structure of the forge type | mold design assistance apparatus which concerns on embodiment of this invention. The figure which showed the example of the data flow figure of the process in the forge type | mold design assistance apparatus which concerns on embodiment of this invention. The figure which showed typically the process in which forge die shape data is created from product shape data. The figure which showed the positional relationship and the shape of each forge type | mold (upper mold | type and lower mold | type) and the raw material for forging at the time of a forge start. The figure which showed typically the example of the final shape of the raw material obtained by the simulation of the forge process by a forge analysis part. The figure which showed the example of the display screen displayed in order to set a burr determination line and a burr | direction direction vector. The figure which showed the example of the display screen which deform | transformed a part of display screen shown in FIG. The figure which showed the 2nd example of the display screen which deform | transformed a part of display screen shown in FIG. The figure which showed typically the example of the shape of the burr | flash part of the raw material obtained by the simulation of a forge process, and was shown in order to demonstrate a burr cross-sectional area. The figure which showed the example of the processing flow of the burr cross-sectional area calculation process by a burr cross-sectional area and length calculation part. The figure which showed typically the example of the shape of the burr | flash part of the raw material obtained by the simulation of a forge process, and was shown in order to demonstrate burr length. The figure which showed the example of the processing flow which calculates the burr length by the burr cross-sectional area and length calculation part. The figure which showed the example of the processing flow of the optimization part. The figure which showed the example of the display screen displayed by a display part.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In addition, in each drawing, the same code | symbol is attached | subjected to a common component and the overlapping description is abbreviate | omitted.

  FIG. 1 is a diagram showing an example of the configuration of a forging die design support apparatus 100 according to an embodiment of the present invention. As shown in FIG. 1, the forging die design support apparatus 100 according to the present embodiment includes a processing device 10, a storage device 20, and an input / output device 30. That is, the forging die design support apparatus 100 can be realized in terms of hardware using a general personal computer, a workstation, or the like.

  The processing device 10 corresponds to a so-called CPU (Central Processing Unit) portion of a computer, and implements various data processing functions by executing programs stored in the storage device 20 in advance. In this embodiment, in order to realize the function of the forging die design support device 100, the processing device 10 includes a design basic data input unit 101, a forging die shape creation unit 102, a material shape creation unit 103, a forging analysis unit 104, a varistor. Processing blocks such as a determination position input unit 105, a burr cross-sectional area / length calculation unit 106, a display unit 107, and an optimization unit 108 are provided. The processing contents of these processing blocks will be sequentially described below.

  The storage device 20 includes a RAM (Random Access Memory), a ROM (Read Only Memory), a hard magnetic disk device, an SSD (Solid State Disk) device, and the like. The storage device 20 stores a program executed by the processing device 10, data input via the input / output device 30, work data used when executing the program, data obtained as a result of executing the program, and the like. Is memorized. In the present embodiment, the storage device 20 includes product shape data 201, forging die size data 202, material size data 203, analysis condition data 204, forging die shape data 205, material shape data 206, analysis result data 207, burr determination. Condition data 208, burr cross-sectional area / length data 209, and the like are stored. Details of these data will also be described sequentially below.

  The input / output device 30 includes an input device such as a keyboard, a mouse, and a touch panel, and an output device such as a liquid crystal display device and a printer. The input / output device 30 constructs a user interface between the processing device 10 and the user (forging die designer). Note that the input / output device 30 may also include a communication device for connecting to a LAN (Local Area Network) or the Internet and a drive device for a portable memory such as a USB (Universal Serial Bus) memory.

  FIG. 2 is a diagram illustrating an example of a data flow diagram of processing in the forging die design support apparatus 100. Here, first, an outline of processing in the forging die design support apparatus 100 will be described using this data flow diagram. Note that the data flow diagram of FIG. 2 does not include the optimization unit 108. The processing flow of the optimization unit 108 will be described separately in another drawing.

  As shown in FIG. 2, the design basic data input unit 101 first reads product shape data 201, forging die dimension data 202, material dimension data 203 and analysis condition data 204 input by the user via the input / output device 30. And stored in the storage device 20. These data may be data created by another computer different from the forging die design support apparatus 100. In that case, the design basic data input unit 101 may read data created by another computer via a communication network or a portable memory (not shown).

  The forging die shape creation unit 102 creates forging die shape data 205 from the product shape data 201 and the forging die dimension data 202, and the material shape creation unit 103 uses the forging die shape data 205 and the material dimension data 203 to generate a material. Shape data 206 is created. Here, when the material is, for example, a cylinder, the material dimension data 203 includes data such as the diameter and height of the cylinder.

  The forging analysis unit 104 uses the forging die shape data 205, the material shape data 206, and the analysis condition data 204 as input data to simulate the movement of the material in the forging process and stores the result in the storage device 20 as the analysis result data 207. To do. Here, for example, a rigid plastic finite element method can be used as a simulation method. The analysis condition data 204 includes a friction model between the forging die and the material, a friction coefficient, a heat transfer rate, an ambient (environment) temperature, a forging die temperature, an initial material temperature, an upper die lowering speed, an upper die stop condition, and the like. It consists of parameters and data that make up a forging simulation model.

  The burr determination position input unit 105 reads data such as a burr determination position, a burr direction vector, and distance definition data (maximum value, minimum value, average value) input by the user and stores them in the storage device 20 as burr determination condition data 208. To do. The burr cross-sectional area / length calculation unit 106 calculates the cross-sectional area and length of the burr from the analysis result data 207 and the burr determination condition data 208, and stores the result as burr cross-sectional area / length data 209. 20.

  The display unit 107 displays at least one of the forging die shape data 205, the material shape data 206, the analysis result data 207, the burr determination condition data 208, and the burr cross-sectional area / length data 209 stored in the storage device 20. The included data is output to the input / output device 30, for example, displayed on the screen of a liquid crystal display device.

  In addition, the optimization unit 108 appropriately changes the value of the design factor (such as the position of the material) input by the user while appropriately changing the forging die shape creation unit 102, the material shape creation unit 103, the forging analysis unit 104, and the burr cross-sectional area / The processing of the length calculation unit 106 is repeatedly executed. Then, by repeating this iterative process until the value of a preset objective function (for example, the burr cross-sectional area and / or length) reaches the minimum value or near the minimum value, Optimize the value. In that case, the optimization unit 108 may have a function of displaying a table or a graph (such as a response surface) used in the optimization process.

  Next, with reference to FIG. 3 to FIG. 14, the processing contents of the processing blocks such as the forging die shape creation unit 102 included in the processing apparatus 10 (see FIG. 1) will be described in detail.

  FIG. 3 is a diagram schematically showing a process in which forging die shape data 205 is created from product shape data 201. As shown in FIG. 3, the forging die shape creation unit 102 first creates a shape obtained by increasing the shape represented by the product shape data 201 by the forging allowance using the forging die dimension data 202, and represents the shape. Is contour shape data 201a after forging allowance. Next, the forging die shape creation unit 102 creates a shape obtained by enlarging the shape represented by the contour shape data 201a after forging allowance in consideration of thermal expansion at the forging temperature, and the data representing the shape is subjected to thermal expansion. The contour shape data 201b is assumed.

  Next, the forging die shape creation unit 102 adds a parting line PL in consideration of the draft and the burr road in the shape represented by the contour shape data 201b after thermal expansion. Then, the forging die shape creation unit 102 uses the contour shape data 201b after thermal expansion, the parting line PL, and the line drawn from the parting line PL to a position higher by the flash thickness FT, to obtain the die carving shape data 201c. create. Further, the forging die shape creation unit 102 creates data of a shape obtained by hollowing out the shape represented by the die-sculpting shape data 201c from an arbitrary rectangle (a rectangular parallelepiped if it is three-dimensional), and sets it as the forging die shape data 205. Note that the geometry data representing the forging die shape data 205 may be directly input from the input / output device 30, and the processing of the forging die shape creation unit 102 may be omitted.

  FIG. 4 is a diagram showing an example of the positional relationship between the forging die 300 (upper die 301 and lower die 302) and the material 303 to be forged at the start of forging and the respective shapes. As described above, the material shape creation unit 103 creates the material shape data 206 from the forging die shape data 205 and the material dimension data 203. Here, the material shape data 206 is not only the shape of the material 303 but also the data indicating the positional relationship between the upper die 301 and the lower die 302 of the forging die 300 and the material 303 to be forged.

  Accordingly, when the material 303 is, for example, a columnar shape, the material shape creation unit 103 acquires the diameter and height data of the column from the material dimension data 203 and the material 303 input by the user via the input / output device 30. The data of the arrangement position and the arrangement direction of is acquired. Further, the material shape creation unit 103 uses these acquired data and the forging die shape data 205 to represent the positional relationship between the upper die 301, the lower die 302, and the material 303 and the respective shapes as shown in FIG. The created material shape data 206 is created. Note that the geometry data of the material shape data 206 may be directly input from the input / output device 30 and the processing of the material shape creation unit 103 may be omitted.

  First, the forging analysis unit 104 sets a mesh for analysis simulation in a space representing the positional relationship between the forging die 300 (upper die 301 and lower die 302) and the material 303 as shown in FIG. . At this time, the number of meshes is set by the user via the input / output device 30, for example. Subsequently, the forging analysis unit 104 includes the friction model, the friction coefficient, the heat transfer coefficient, the ambient (environment) temperature, the forging die temperature, the initial material temperature, the upper die lowering speed, and the upper die stopping condition specified by the analysis condition data 204. A forging analysis model is created using Next, the forging analysis unit 104 simulates the forging process of the material 303 using the analysis model, and stores the result in the storage device 20 as analysis result data 207.

  FIG. 5 is a diagram schematically showing an example of the final shape of the material 303 a obtained by the simulation of the forging process by the forging analysis unit 104. Here, the portion of the material 303a that protrudes outside (the burr road) from the starting position PS of the parting line PL is called a burr 400 and is removed in the final forged product. The burr 400 is required to prevent the lack of the thickness, but it is preferable that the burr 400 is as small as possible.

  Therefore, in this embodiment, the burr determination line 404 and the burr direction vector 405 are set by the processing of the burr determination position input unit 105 in order to evaluate the amount of the burr 400 obtained as a result of the simulation. As shown in FIG. 5, the burr determination line 404 is a boundary line that distinguishes the portion to be determined as the burr 400 in the forged material 303a and is slightly smaller than the starting point PS (product side end) of the parting line PL. Provided outside. In FIG. 5, a burr direction vector 405 represents a direction in which the burr 400 moves outward. In the present embodiment, since the meaning of the burr direction vector 405 is not particularly given, for example, it may be a unit size.

  The burr determination line 404 and the burr direction vector 405 include the centers of the upper mold 301, the material 303, and the lower mold 302, and are set, for example, for an arbitrary cross section perpendicular to the parting line PL. 5 is an example in which the forging of the material 303a is analyzed with a cross section parallel to the xz plane, and the parting line PL is assumed to be substantially parallel to the x axis. Accordingly, the burr direction vector 405 with respect to the burr 400 at the left and right end portions of the material 303a is a direction along the x-axis direction.

  FIG. 6 is a diagram showing an example of the display screen 31 displayed for setting the burr determination line 404 and the burr direction vector 405. This display screen 31 is displayed by the burr determination position input unit 105, and is used, for example, when the forging of the material 303a is analyzed with a cross section parallel to the xz plane in the same manner as in FIG. A burr determination line 404 and a burr direction vector 405 are set. That is, on this display screen 31, as the burr determination line 404, a burr A determination line 404a and a burr B determination line 404b are set at the left and right ends along the x-axis. Also, as the burr direction vector 405, a burr A direction vector 405a and a burr B direction vector 405b are similarly set at the left and right ends.

  Here, when the display screen 31 as shown in FIG. 6 is displayed, the burr determination position input unit 105 first displays the numerical value input boxes 311a and 311b and the radio buttons 312a and 312b. 301, an example of a cross-sectional structure of the lower mold 302 and the material 303 is displayed. At this time, the burr A determination line 404a, the burr B determination line 404b, the burr A direction vector 405a, and the burr B direction vector 405b are not displayed.

  Therefore, when the user inputs numerical values representing the positions of the burr A determination line 404a and the burr B determination line 404b in the numerical value input boxes 311a and 311b, the burr determination position input unit 105 reads these numerical values. Then, the positions of the burr A determination line 404a and the burr B determination line 404b are set based on the numerical values. Further, when the user selects one of the radio buttons 312a and 312b (−x side or + x side), the burr determination position input unit 105 acquires the selection information. Based on the selection information, the direction of the burr A direction vector 405a and the burr B direction vector 405b is set.

  Next, the burr determination position input unit 105 displays the burr A determination line 404a, the burr B determination line 404b, the burr A direction vector 405a, and the burr B direction vector 405b set as described above, the upper mold 301, the lower mold 302, and the material. It is displayed in the display screen 31 on which the sectional structure 303 is displayed (see FIG. 6).

  In the example of FIG. 6, the numerical values to be input to the numerical value input boxes 311a and 311b are the coordinate values of the x axis in the coordinate system used when displaying the upper mold 301, the lower mold 302, and the material 303. It is said. Here, the unit of the coordinate value and the length in this coordinate system is mm, and the origin of the x axis (x = 0) is the center of the arrangement position of the upper mold 301 and the lower mold 302, for example, circular. It is assumed that the center of the material 303 is set.

  FIG. 7 is a diagram showing an example of a display screen 32 obtained by modifying a part of the display screen 31 shown in FIG. The display screen 32 shown in FIG. 7 is almost the same as the display screen 31 shown in FIG. 6, but the numerical values input to the numerical value input boxes 313a and 313b are different from the example in FIG. In other words, in the example of FIG. 7, the numerical value input boxes 313a and 313b include not the coordinate values but the burrs A determination line 404a and the burrs B determination to be set from the product side ends 406a and 406b in the parting line PL. The distance is input to the line 404b. Here, the unit of distance is assumed to be mm.

  Further, in the display screen 32 of FIG. 7, the product side ends 406a and 406b as well as the burr A determination line 404a and the burr B determination line 404b are displayed as thick broken lines on the display screen 32 of FIG. This is different from the screen 31. However, setting the direction of the burr A direction vector 405a and the burr B direction vector 405b using the radio buttons 312a and 312b is the same as the example of FIG.

  As described above, on the display screen 32 in FIG. 7, the positions of the burr A determination line 404a and the burr B determination line 404b can be set by the relative distance from the product side ends 406a and 406b. It can be said that it is easy to operate.

  FIG. 8 is a diagram showing a second example of the display screen 32 obtained by modifying a part of the display screen 31 shown in FIG. In the display screen 33 shown in FIG. 8, the burr determination line 404 is not limited to a straight line, but may be a curved line. Therefore, the display screen 33 displays text boxes 314a and 314b for inputting the names of files storing data defining the shapes of the burr A determination line 404a and the burr B determination line 404b. Similarly to the display screen 31 of FIG. 6, the display screen 33 includes radio buttons 312a and 312b for selecting the direction (−x side or + x side) of the burr A direction vector 405a and the burr B direction vector 405b. Is displayed.

  Therefore, the user can set the positions and shapes of the burr A determination line 404a and the burr B determination line 404b via the text boxes 314a and 314b and the numerical value input boxes 311a and 311b displayed on the display screen 33. Further, the user can set the direction of the burr A direction vector 405a and the burr B direction vector 405b via the radio buttons 312a and 312b.

  Therefore, when the user sets the burr A determination line 404a, the burr B determination line 404b, the burr A direction vector 405a, and the burr B direction vector 405b, the burr determination position input unit 105 displays these as the upper mold 301 and the lower mold 302. And displayed in the display screen 33 on which the cross-sectional structure of the material 303 is displayed (see FIG. 8). Further, the burr determination position input unit 105 displays a straight line representing the innermost positions 407a and 407b in the display screen 33 with a thick broken line.

  In the above description of FIGS. 6 to 8, in order to simplify the description, a two-dimensional simulation analysis of the forging of the material 303 is assumed, but actual forging is performed in a three-dimensional space. . In the three-dimensional analysis, the burr determination line 404 is generally represented by a curved surface and should be a burr determination curved surface. Accordingly, in this case, for example, on the display screen 33 of FIG. 8, instead of the text boxes 314a and 314b, a text box (not shown) for inputting the name of a file storing data defining the shape of the burr determination curved surface. ) Will be displayed.

Similarly, in the three-dimensional analysis, since the direction of the burr direction vector 405 cannot be expressed only on the −x side or the + x side, it is generally necessary to express it with a vector (v _x , v _y , v _z ) having three components. There is. Therefore, for example, on the display screen 33, numerical value input boxes (not shown) for inputting the values of v _x , v _y , and v _z are displayed instead of the radio buttons 312a and 312b.

When the burr determination position input unit 105 acquires data defining the burr determination line 404 and the burr direction vector 405 as described above, the burr determination position input unit 105 stores them in the storage device 20 as burr determination condition data 208. Next, the burr cross-sectional area / length calculation unit 106 calculates the cross-sectional area and length of the burr 400 using the analysis result data 207 and the burr determination condition data 208, and calculates the result as the burr cross-sectional area / length. The data 209 is stored in the storage device 20.
Hereinafter, a burr cross-sectional area calculation process flow will be described with reference to FIGS. 9 and 10, and a burr length calculation process will be described with reference to FIGS. 11 and 12.

  FIG. 9 is a diagram schematically showing an example of the shape of the burr 400 portion of the material 303a obtained by the simulation of the forging process, and is a diagram shown for explaining the burr cross-sectional area. Here, the burr cross-sectional area is calculated by the burr cross-sectional area / length calculation unit 106, and the burr judgment line of the material 303 a that protrudes from the gap portion (burr path) between the upper mold 301 and the lower mold 302. It is a portion on the arrow direction side of the burr direction vector 405 from 404. That is, the burr 400 is shown in FIG. 9 as a part surrounded by the material boundary line 303b and the burr determination line 404, and a part surrounded by a thick line.

  FIG. 10 is a diagram illustrating an example of a processing flow of a burr cross-sectional area calculation process performed by the burr cross-sectional area / length calculation unit 106. As shown in FIG. 10, the burr cross-sectional area / length calculation unit 106 first extracts mesh data of the material 303a, the upper mold 301, and the lower mold 302 from the analysis result data 207 (step S10). Next, the burr cross-sectional area / length calculation unit 106 extracts a burr determination line 404 and a burr direction vector 405 from the burr determination condition data 208 (step S11).

  Subsequently, the burr cross-sectional area / length calculation unit 106 generates a burr area boundary line (indicated by a bold line in FIG. 9) from the mesh data of the material 303a and the burr determination line 404 (step S12), and the burr area boundary line The area of the portion surrounded by is calculated (step S13).

  The above description is based on a two-dimensional analysis of the forging process, but in the case of a three-dimensional analysis, the burr cross-sectional area is calculated as a burr volume. In that case, the burr area boundary line in steps S12 and S13 should be a burr area boundary surface. Therefore, the burr volume can be said to be the volume of the portion surrounded by the burr region boundary surface.

  By the way, in the three-dimensional analysis, the burr 400 appears so as to surround the material 303 a along the gap between the upper mold 301 and the lower mold 302. Therefore, for example, when the material 303a is cut along a plane that passes through the center of the material 303a and is substantially perpendicular to the engraving surface of the lower mold 302, the cross-sectional area of the burr 400 that appears at both ends of the material 303a is represented by the processing flow of FIG. Can be calculated. Therefore, the cross-sectional area of the burr 400 is calculated by rotating the cut surface by a small angle Δθ around the axis of the material 303a and passing through the center of the lower die 302, and rotated 180 degrees. Let In this case, the volume of the burr 400 is calculated as the sum (integral value) of the cross-sectional areas when calculated at the respective rotation angles.

  FIG. 11 is a diagram schematically showing an example of the shape of the burr 400 portion of the material 303a obtained by the simulation of the forging process, and is a diagram for explaining the burr length 409. FIG. In FIG. 11, the same elements as those shown in FIG. 9 are denoted by the same reference numerals, and the description thereof is omitted. Here, the burr length 409 is the distance from the burr determination line 404 to the burr outermost position 408 in the part where the material 303a protrudes from the gap part (burr road) between the upper mold 301 and the lower mold 302. Calculated.

  FIG. 12 is a diagram showing an example of a processing flow for calculating the burr length 409 by the burr cross-sectional area / length calculation unit 106. As shown in FIG. 12, the burr cross-sectional area / length calculation unit 106 first extracts mesh data of the material 303a, the upper mold 301, and the lower mold 302 from the analysis result data 207 (step S20). Next, the burr cross-sectional area / length calculation unit 106 extracts a burr determination line 404 and a burr direction vector 405 from the burr determination condition data 208 (step S21).

  Subsequently, the burr cross-sectional area / length calculation unit 106 extracts the burr outermost position 408 of the burr 400 from the mesh data of the material 303a and the burr determination line 404 (step S22), and further from the burr determination line 404. The distance to the outermost position 408 is calculated as the burr length 409 (step S23).

  As described above, in the three-dimensional analysis, the burr 400 appears everywhere so as to surround the material 303a along the gap between the upper mold 301 and the lower mold 302. The burr length 409 is generally not the same.

  Therefore, in the three-dimensional analysis, the burr cross-sectional area / length calculation unit 106 first cuts the material 303a by a plane that passes through the center of the material 303a and is substantially perpendicular to the engraved surface of the lower mold 302, as described above. At this time, the burr length 409 of the burr 400 appearing at both ends thereof is calculated according to the processing flow of FIG. Then, the burr length 409 at each angular position is obtained by rotating the cut surface by a minute angle Δθ around the axis of the material 303a and passing through the center of the lower die 302. calculate. In this case, the average value of the burr length 409 at each angular position, the maximum value of the burr length 409 at each angular position, the intermediate value between the maximum value and the minimum value, and the like are used as the burr length in the three-dimensional analysis. be able to.

  Further, in this embodiment, the data of the burr cross-sectional area (burr volume) and burr length 409 calculated by the burr cross-sectional area / length calculation unit 106 is displayed via the display screen (see FIG. 14) described later (see FIG. 14). (Designer) That is, in this embodiment, it is possible to quantitatively determine the burr cross-sectional area (burr volume) and burr length 409, and the user can know these values. Therefore, the user can easily evaluate the amount and appearance of the burr 400 together with the presence or absence of the lack of meat.

  FIG. 13 is a diagram illustrating an example of a processing flow of the optimization unit 108. The optimization unit 108 is used to optimize design factors (for example, the shape of the forging die 300, the size of the material 303 before forging, and the initial arrangement position) that can be set as appropriate by the user (designer).

  As shown in FIG. 13, the optimization unit 108 first selects one of forging die dimension data 202, material dimension data 203, and analysis condition data 204 based on information input by the user via the input / output device 30. The above design factors are selected (step S40). At this time, you may restrict | limit the range of the value of the selected design factor.

  Next, the optimization unit 108 selects one or more objective functions from the burr cross-sectional area / length data 209 based on information input by the user via the input / output device 30, Optimization termination conditions are set (step S41). Here, the optimization termination condition refers to the target value of the objective function, its allowable range, the number of repetitions, and the like.

  Next, the optimization unit 108 performs processing of the forging die shape creation unit 102, the material shape creation unit 103, the forging analysis unit 104, and the burr cross-sectional area / length calculation unit 106 based on the value of the design factor designated by the user. Each is executed, and the value of the selected objective function is calculated (step S42).

  Next, the optimization unit 108 determines whether or not the value of the objective function calculated in step S42 satisfies the termination condition (step S43). As a result of the determination, when the value of the objective function does not satisfy the termination condition (No in step S43), the optimization unit 108 changes the value of the design factor (step S44), and performs the processing from step S42 onward. Try again. There are various methods for changing the value of the design factor when the value of the objective function is optimized. For example, a program such as a commercially available optimization engine may be used.

  If it is determined in step S43 that the value of the objective function satisfies the end condition (Yes in step S43), the optimization unit 108 ends the processing of the optimization unit 108. Then, the value of the design factor at the end of processing of the optimization unit 108 is set as the optimum value of the design factor.

  Here, a specific example of design factor optimization is shown below. In the design of the forging die 300, it is required to reduce the amount of the burr 400 as much as possible within a range in which the load and moment applied to the processing apparatus do not exceed the upper limit of the rating of the processing apparatus and the thickness does not occur. Further, in order to reduce the amount of the material 303 as much as possible, it is preferable that the difference (balance) in the degree of protrusion of the burr 400 between the parts of the forging die 300 is as small as possible.

  Therefore, the case where the initial arrangement position of the material 303 is a design factor and the balance of the burr 400 is an objective function will be described. Here, first, as an example of the two-dimensional analysis, a cross section of the forging die 300 and the material 303 is considered. At this time, the balance of the burr 400 can be grasped as a difference in the degree of protrusion of the burr 400 at diagonal positions (both ends of the same cut surface).

  Therefore, the optimization unit 108 extracts the material position from the material dimension data 203, and calculates the burr cross-sectional area, burr length 409, or both of the burr 400 at both ends where the burr 400 in the same cut surface emerges from the analysis result data 207. Ask. Then, by using these obtained values, the difference in the burr cross-sectional area at both ends where the burr 400 in the same cut plane comes out, the difference in the burr length 409, or both are calculated.

  In this example, the burr cross-sectional area difference, the burr length 409 difference, or both represent the balance of the burr 400 and serve as an optimization objective function. However, in the case of three-dimensional analysis, the balance of the burr 400 is, for example, the burr cross-sectional area or burr length of the burr 400 generated at each position on the outer peripheral portion of the material 303a along the gap between the upper mold 301 and the lower mold 302. 409 distribution variation (variance or standard deviation). Alternatively, the total amount (total volume) of the burr 400 may be used as the objective function.

  Here, it supplements regarding the determination of the termination condition said in step S43. For this determination, the optimization unit 108 creates a so-called objective function response curve (generally, a response surface) by iterative processing in steps S42 to S44. In general, the optimization problem is reduced to the problem of determining the minimum or maximum value of this response curve, and in this example, the balance of the burr 400 is minimized.

  Therefore, for example, the optimization unit 108 creates an approximate curve in which the horizontal axis represents the initial arrangement position of the material 303 in the x-axis direction and the vertical axis represents the balance (value of the objective function) 400 as the response curve. In this case, the optimization termination condition may be that an error between the newly plotted point and the approximate curve is equal to or less than a predetermined threshold value. Thereby, the precision of the value obtained by optimization can be ensured.

  FIG. 14 is a diagram illustrating an example of the display screen 34 displayed by the display unit 107. The display screen 34 generally includes burr determination condition data 208, burr cross-sectional area / length data 209, forging die shape data 205 that satisfies an end condition in the optimization unit 108, material shape data 206, analysis result data 207, and the like. Is displayed.

  Incidentally, in the display screen 34 shown in FIG. 14, the burr determination line 404 and the burr direction vector 405 as the burr determination condition data 208 and the burr length 409 as the burr cross-sectional area / length data 209 are displayed in the forging die shape. A graphic is displayed together with partial shapes such as data 205 and material shape data 206.

  In the text box 320 of the display screen 34, the value of the burr length 409 is displayed as a numerical value. The text box 320 may display a burr cross-sectional area value instead of the burr length 409 value or both according to a user instruction. Further, the burr volume and burr length values obtained by the three-dimensional analysis may be displayed not only in the text box 320 but also in a two-dimensional or three-dimensional graph or diagram.

  Further, the forging die shape data 205 and the material shape data 206 that satisfy the termination condition of the optimization unit 108 may be displayed using a front view, a top view, a side view, etc. Dimensional display may be performed. Furthermore, the display unit 107 may store such a front view, top view, side view, perspective view, and the like in a file format of a predetermined drawing format. Thereby, the man-hour of drawing creation work can be reduced.

  The display of the burr cross-sectional area / length data 209 is performed in order to confirm whether there is a problem with the values that cause the optimum shapes of the forging die 300 and the material 303 to be derived. As a result of the confirmation by the user, if there is a problem with the analysis conditions, processing for excluding the corresponding analysis conditions or performing analysis again may be added to the processing of the optimization unit 108.

  In addition, the forging die shape data 205 and the material shape data 206 satisfying the termination condition of the optimization unit 108 are obtained from the processing result of the optimization unit 108, and therefore, the response surface is used in the optimization unit 108. In this case, it is preferable that the display unit 107 also displays the response curved surface. At this time, if the response curved surface cannot be displayed in multiple dimensions, the data may be processed into dimensions that can be displayed.

  As described above, in the embodiment of the present invention, the user can appropriately set the burr determination line 404 (burr determination curve) and the burr direction vector 405, so that the amount and the way of the burr 400 generated as a result of forging can be changed. It is possible to quantitatively obtain the cross-sectional area (burr volume) and the burr length 409. Furthermore, in the present embodiment, in the processing of the optimization unit 108, the user can select a design factor as appropriate and set an objective function as appropriate, so that the amount and the way out of the burr 400 can be optimized. Therefore, the forging die 300 and the material 303 can be efficiently shaped to the user's desired shape.

  The present invention is not limited to the embodiments and modifications described above, and includes various modifications. For example, the above-described embodiments and modifications have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. In addition, a part of the configuration of an embodiment or modification can be replaced with the configuration of another embodiment or modification, and the configuration of another embodiment or modification can be replaced with another embodiment or modification. It is also possible to add the following configuration. In addition, with respect to a part of the configuration of each embodiment or modification, the configuration included in another embodiment or modification may be added, deleted, or replaced.

DESCRIPTION OF SYMBOLS 10 Processing apparatus 20 Storage apparatus 30 Input / output apparatus 31, 32, 33, 34 Display screen 100 Forging die design support apparatus 101 Design basic data input part (forging simulation part)
102 Forging shape creation part (forging simulation part)
103 Material shape creation part (forging simulation part)
104 Forging analysis section (forging simulation section)
105 Validity judgment position input part (Validator calculation part)
106 Burr cross section / length calculator (validator calculator)
DESCRIPTION OF SYMBOLS 107 Display part 108 Optimization part 201 Product shape data 201a Contour shape data after forging allowance 201b Contour shape data after thermal expansion 201c Die shape data 202 Forging die size data 203 Material size data 204 Analysis condition data 205 Forging die shape data 206 Material shape data 207 Analysis result data 208 Burr determination condition data 209 Burr cross-sectional area / length data 300 Forging die 301 Upper die 302 Lower die 303, 303a Material 303b Material boundary 320 Text box 311a, 311b Numerical value input box 312a, 312b Radio Button 313a, 313b Numerical value input box 314a, 314b Text box 400 Burr 404 Burr determination line 404a Burr A determination line 404b Burr B determination line 405 Burr direction vector 405 a Burr A direction vector 405b Burr B direction vector 406a, 406b Product side end 407a, 407b Innermost position 408 Burr outermost position 409 Burr length PL Parting line PS Parting line start point FT Flash thickness

Claims (6)

A processing device, a storage device, and an input / output device;
The processor is
Via the input / output device, product shape data of the forged product, dimensional data of the forging die, material dimensional data, and analysis condition data including parameters of a forging simulation model are input, and the material is the forging die. A forging simulation unit that simulates a process forged by using the input data, and calculates shape data of the material after forging,
While inputting the burr determination condition data for determining the burr generated in the forging process through the input / output device, using the burr determination condition data, the after forging calculated by the forging simulation unit A validator calculator that extracts the burr portion from the shape data of the material and calculates a value of at least one data representing the amount or size of the burr;
A forging die design support device characterized by comprising: The processor is
The display unit according to claim 1, further comprising a display unit that outputs and displays a value of at least one data representing the amount or size of the burr calculated by the validator calculation unit to the input / output device. Forging die design support device. The processor is
Selecting at least one data from the forging die dimension data, the material dimension data and the analysis condition data as a design factor, and selecting at least one data representing the amount or size of the burr as an objective function; The forging die design support apparatus according to claim 1, further comprising: an optimization unit that calculates a value of the design factor when the objective function becomes a minimum value, a maximum value, or a value near the minimum value. A computer comprising a processing device, a storage device, and an input / output device,
Through the input / output device, the product shape data of the forged product, the dimension data of the forging die, the dimension data of the material, and data including analysis condition data that is a parameter of the forging simulation model are input, and the material is the forging die. A forging simulation process for simulating the process forged by using the input data and calculating the shape data of the material after forging;
While inputting burr determination condition data for determining burr generated in the forging process via the input / output device, the burr determination condition data is used to calculate the burr after forging calculated by the forging simulation process. A validator calculation process for extracting the burr portion from the shape data of the material and calculating a value of at least one data representing the amount or size of the burr;
A forging die design support method characterized in that The computer
5. The display process for outputting and displaying at least one data value representing the amount or size of the burr calculated by the validator calculation process on the input / output device is further executed. Forging die design support method. The computer
Selecting at least one data from the forging die dimension data, the material dimension data and the analysis condition data as a design factor, and selecting at least one data representing the amount or size of the burr as an objective function; 5. The forging die design support method according to claim 4, further comprising performing an optimization process for calculating a value of the design factor when the objective function becomes a minimum value, a maximum value, or a value close thereto.

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