Die design assisting method and system for forging tool

Abstract

The invention relates to a die design assisting method for a forging tool and a system thereof. The die design assisting method of the forging tool comprises the following steps: receiving a to-be-forged tool type through a user interface, wherein the to-be-forged tool type comprises a plurality of groups of to-be-forged tool parameters; and generating a group of terminal dies and a plurality of groups of intermediate dies by the arithmetic unit according to the plurality of to-be-forged tool parameters, each of the terminal dies and the plurality of intermediate dies being divided into a plurality of target areas, each of the plurality of target areas having a target excess material ratio, and generating a plurality of groups of forging blank parameters according to the target excess material ratios, the target excess material proportions are respectively corresponding to the terminal mold and the plurality of middle molds, the target excess material proportions are obtained from the process database, the process database establishes a forging blank excess material parameter table, and the forging blank excess material parameter table comprises a plurality of candidate excess material proportions of the plurality of candidate areas.

Description

Technical Field

[0001] The present invention relates to a die design auxiliary method and system for a forging tool. Background Art

[0002] In the global competition with short delivery time and fast order delivery speed, small and medium-sized hand tool manufacturers have difficulty surviving due to insufficient R&D capabilities and design relying more on experience. The factory relies on the experience of old masters, without digital accumulation and storage. When R&D personnel receive old cases similar to new product designs, they cannot trace back the design plan, resulting in a waste of manpower and time. Summary of the invention

[0003] In view of the above, the present invention provides a die design auxiliary method and system for forging tools.

[0004] According to an embodiment of the present invention, a die design auxiliary method for a forging tool is executed by a computer system, the computer system comprising a user interface, a process database and a computing unit, the die design auxiliary method for a forging tool comprising: receiving a type of tool to be forged by a user interface, the type of tool to be forged comprising a plurality of sets of tool parameters to be forged; and generating a set of terminal die and a plurality of sets of intermediate die by the computing unit according to the plurality of sets of tool parameters to be forged, the terminal die and the plurality of sets of intermediate die are each divided into a plurality of target areas, each of the plurality of target areas has a target residual material ratio, and a plurality of sets of forging blank parameters are generated according to the target residual material ratio to correspond to the terminal die and the plurality of sets of intermediate die respectively, wherein the target residual material ratio is obtained from the process database, the process database establishes a forging blank residual material parameter table, the forging blank residual material parameter table comprises a plurality of candidate residual material ratios of a plurality of candidate areas.

[0005] A die design support system for forging tools according to an embodiment of the present invention includes a user interface, a process database, and a computing unit for executing the die design support method for forging tools as described above.

[0006] Through the above structure, the die design auxiliary method and system of forging tools disclosed in this case can effectively summarize the target residual material ratio of different parts of the forging tool by establishing a process database including a forging blank residual material parameter table and a material thermal expansion coefficient table, and obtain multiple forging blank sizes and die parameters. In this way, the auxiliary design system and method of this case can provide the industry with a direction to follow when developing new products, shorten the development schedule, and reduce the residual material ratio of the tool forging process (increase the hot forging material yield), thereby improving the industry's competitiveness.

[0007] The above description of the disclosed contents and the following description of the implementation modes are used to demonstrate and explain the spirit and principle of the present invention, and to provide a further explanation of the scope of the patent application of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 The figure is a functional block diagram of a die design auxiliary system for forging tools according to an embodiment of the present invention.

[0009] Figure 2 The figure is a flow chart of a die design auxiliary method for forging tools according to an embodiment of the present invention.

[0010] Figure 3 The figure is a detailed flow chart of a die design auxiliary method for a forging tool according to an embodiment of the present invention.

[0011] Figure 4 The figure is a schematic diagram of a tool model to be forged generated by a die design auxiliary system for forging tools according to an embodiment of the present invention.

[0012] Figure 5 The figure is a schematic diagram of a blank model generated by a die design auxiliary system for forging tools according to an embodiment of the present invention.

[0013] Figure 6 The figure is a schematic diagram of a forging blank model generated by a die design auxiliary system for forging tools according to an embodiment of the present invention.

[0014] Figure 7 The flowchart is a diagram showing additional steps of a die design auxiliary method for forging tools according to another embodiment of the present invention.

[0015] Figure 8 Based on Figure 7 The embodiment shows the analysis results of simulated forging of various parts of the wrench at different test residual material ratios. DETAILED DESCRIPTION

[0016] The following detailed features and advantages of the present invention are described in detail in the embodiments, and the content is sufficient to enable anyone skilled in the relevant art to understand the technical content of the present invention and implement it accordingly. According to the content disclosed in this specification, the scope of the patent application and the drawings, anyone skilled in the relevant art can easily understand the relevant purposes and advantages of the present invention. The following examples are to further illustrate the viewpoints of the present invention in detail, but are not intended to limit the scope of the present invention in any way.

[0017] The die design auxiliary method and system for forging tools described in this article can be used to optimize the forging process of a metal tool. For example, the metal tool may include tools such as a wrench, a screwdriver, and a socket, but the present invention is not limited thereto. Taking a wrench as an example, its forging process may include: providing a blank (round bar steel); preforming (roll forging) the blank into a forging blank; and forging the forging blank with a die for multiple passes to form a final tool product.

[0018] Please refer to Figure 1 , Figure 1 FIG. 1 is a functional block diagram of a die design auxiliary system for forging tools according to an embodiment of the present invention. Figure 1 As shown, the die design auxiliary system 1 for forging tools includes a user interface 11, a process database 12 and a computing unit 13. The user interface 11 is used to receive a type of tool to be forged and a plurality of tool sizes to be forged. The die design auxiliary system 1 for forging tools can be implemented through a computer system. For example, the user interface 11 can be a display including a graphical user interface (GUI). The process database 12 is used to store a forging blank residual material parameter table and a material thermal expansion coefficient table, wherein the forging blank residual material parameter table includes a plurality of candidate residual material ratios corresponding to a plurality of candidate parts, and the material thermal expansion coefficient table includes a plurality of candidate thermal expansion coefficients corresponding to a plurality of materials, wherein the material thermal expansion coefficient table is selectively established. The process database 12 can be implemented in a memory (e.g., a non-volatile memory), or can be a cloud database. In one embodiment, in addition to the forging blank residual material parameter table and the material thermal expansion coefficient table, the process database 12 can also store multiple forging design data, such as forging machine specification parameters, product specification parameters, design experience knowledge and forging design knowledge, etc., wherein the forging machine rule parameters may include parameters of various dimensions of forging tools, process temperature and forging pressure, the product specification parameters may include parameters of various dimensions of a variety of tools to be forged, and the design experience knowledge and forging design knowledge may include the design concept (knowhow) of how to adjust various process parameters in the forging process for products with different product specifications. Figure 1Exemplarily, it is presented as a process database 12, but in other embodiments, the forging blank residual material parameter table, the material thermal expansion coefficient table and the above-mentioned other data can be stored in multiple databases respectively. The operation unit 13 is used to execute a die design auxiliary method for a forging tool, for example, it can include a design rule calculator, a forming force estimator, a forging blank constructor and a die constructor, and its specific implementation content will be described later. For example, the operation unit 13 can be a computer with data receiving, recording, calculation, storage and output functions, for example, composed of a microcontroller, a central processing unit, a programmable logic controller, a storage, an input and output interface, a communicator, etc. The input and output interface can include a design interface (with multiple interactive menus), a graphical interface (2D or 3D drawing software) and an alphanumeric interface (parameter input table).

[0019] Please refer to Figure 2 , Figure 2 FIG. 1 is a flow chart of a die design auxiliary method for forging tools according to an embodiment of the present invention. Figure 2 As shown, the die design auxiliary method for forging tools includes step S11: receiving a type of tool to be forged by a user interface, the type of tool to be forged includes multiple sets of tool parameters to be forged; and step S12: using a computing unit to generate a set of terminal dies and multiple sets of intermediate dies according to the multiple tool parameters to be forged, the terminal dies and the intermediate dies are each divided into multiple target areas, each of the target areas has a target residual material ratio, and multiple sets of forging blank parameters are generated according to the target residual material ratio to correspond to the terminal dies and the multiple intermediate dies respectively. The above-mentioned terminal die refers to a die model that simulates the finished product of the forging tool, and the intermediate die refers to a die model that simulates the semi-finished product of the tool during the forging process.

[0020] Please combine Figure 1 , Figure 2 refer to Figure 3 , Figure 3 The following is a detailed flow chart of a die design auxiliary method for forging tools according to an embodiment of the present invention. Figure 3As shown, the die design auxiliary method for forging tools executed by the computing unit 13 includes: step S21: receiving a type of tool to be forged and a plurality of sizes of the tool to be forged; step S22: obtaining a forging blank residual material parameter table and a material thermal expansion coefficient table; step S23: generating a model of the tool to be forged according to the type of tool to be forged and the plurality of sizes of the tool to be forged; step S24: dividing the model of the tool to be forged into a plurality of parts according to the type of tool to be forged and at least one of the plurality of sizes of the tool to be forged; step S25: determining a plurality of expected residual material ratios corresponding to the plurality of parts respectively according to the forging blank residual material parameter table; step S26: obtaining a plurality of forging blank sizes according to the plurality of sizes of the tool to be forged and the plurality of expected residual material ratios; and step S27: determining a target thermal expansion coefficient corresponding to the type of tool to be forged according to the material thermal expansion coefficient table, and obtaining a plurality of die parameters according to the plurality of sizes of the tool to be forged and the target thermal expansion coefficient.

[0021] Figure 3 Step S21 may correspond to Figure 2 Step S11. In step S21, the operation unit 13 can receive the type of tool to be forged input by the user through the user interface 11, and the type of tool to be forged includes multiple sets of tool parameters to be forged, and the multiple sets of tool parameters to be forged can include a type of tool to be forged and multiple tool sizes to be forged. For example, the user interface 11 can use Excel software as an interface for receiving the input of the above information. The type of tool to be forged can include open-end wrenches, double-open wrenches, and double-open wrenches, etc., and can include material information, such as carbon steel (S55C) with a carbon content of 0.6% to 1.3%, chrome-vanadium steel (CrV), chrome-vanadium alloy steel (50BV30), medium-carbon chrome-molybdenum alloy steel (SCM440), chrome-vanadium spring steel (AISI6150) and various alloy tool steels (SKD11, SKD61, SKH51), etc. Figure 3 Steps S22 to S27 may correspond to Figure 2 In step S22, the computing unit 13 may obtain a forging blank residual material parameter table and a material thermal expansion coefficient table from the process database 12, wherein the forging blank residual material parameter table includes a plurality of candidate residual material ratios corresponding to a plurality of candidate parts, and the material thermal expansion coefficient table includes a plurality of candidate thermal expansion coefficients corresponding to a plurality of materials. In addition, there is no specific order relationship between step S21 and step S22.

[0022] In step S23, the operation unit 13 can generate a model of the tool to be forged using a design rule calculator and a 3D drawing software according to the type of tool to be forged and the multiple sizes of the tool to be forged. For example, the design rule calculator may include multiple modeling rules, and the 3D drawing software may be SolidWorks or other CAD software. Through the modeling rules of the design rule calculator, multiple parameters of the tool to be forged can be used as multiple drawing information of the 3D drawing software, thereby generating a model of the tool to be forged. In step S24, the operation unit 13 can divide the model of the tool to be forged into multiple parts according to the type of tool to be forged and at least one of the multiple sizes of the tool to be forged. For example, if the type of tool to be forged is a plum wrench, the model of the tool to be forged can be divided into three parts, corresponding to the open end, the handle and the plum end of the wrench.

[0023] Please combine Figure 1 and Figure 3 refer to Figure 4 , Figure 4 FIG. 1 is a schematic diagram of a tool model to be forged generated by a die design auxiliary system for forging tools according to an embodiment of the present invention. Figure 4 As shown, the tool model 2 to be forged may be a three-dimensional model of a plum wrench, and the tool model 2 to be forged may correspond to the terminal die. As described above, the tool model 2 to be forged is divided into an open end portion 21, a handle portion 22, and a plum blossom end portion 23. The tool model 2 to be forged has a plurality of dimensional parameters, including an overall length L, a width W1 of the open end portion 21, a width W2 of the handle portion 22, a width W3 of the plum blossom end portion 23, a thickness T1 of the open end portion 21, a thickness T2 of the handle portion 22, a thickness T3 of the plum blossom end portion 23, and an angle θ of the plum blossom end portion 23. The above dimensional parameters may correspond to a plurality of tool sizes to be forged received through the user interface 11 in step S21. Please refer to the following Table 1, which exemplarily shows a table for inputting the type of tool to be forged and the size of the tool to be forged through the user interface 11.

[0024] Table 1:

[0025]

[0026] As shown in Table 1, the operation unit 13 can provide a parameter input interface through the user interface 11, and use multiple parameter data as drawing information of the 3D drawing software to generate the tool model 2 to be forged (step S23). Then in step S24, the operation unit 13 can divide the tool model 2 to be forged into multiple (3) parts according to the type of tool to be forged (open-end wrench), and can also divide the tool model to be forged into multiple parts according to multiple tool sizes to be forged. For example, the operation unit 13 can obtain multiple different widths (W1, W2 and W3) of the tool model 2 to be forged, and divide the tool model 2 to be forged into multiple parts according to these different widths. In addition, the mold spacing in Table 1 is input by the user, and the excess material ratio can be input by the user as a default value. The system will give a recommended excess material ratio after calculation for the user to refer to whether to modify it (the excess material ratio is still considered in each factory environment, equipment and other factors).

[0027] Please refer to Table 2 and Table 3, which are respectively a table of forging blank residual material parameters and a table of material thermal expansion coefficient obtained in step S22.

[0028] Table 2:

[0029]

[0030] Table 3:

[0031]

[0032] As shown in Table 2 and Table 3, the forging blank residual material parameter table includes multiple candidate residual material ratios corresponding to multiple candidate parts, and the material thermal expansion coefficient table includes multiple candidate thermal expansion coefficients corresponding to multiple materials, wherein the multiple materials may include various materials of the forged tool or various materials of the forging die. The above parameters can be used in steps S25 to S27 of the subsequent process. In step S25, the calculation unit 13 can determine the first target residual material ratio corresponding to the opening end part 21 of the tool model 2 to be forged as 30%, the second target residual material ratio corresponding to the handle part 22 as 20%, and the third target residual material ratio corresponding to the plum blossom end part 23 as 35% according to the forging blank residual material parameter table shown in Table 2. In step S26, the calculation unit 13 can obtain multiple forging blank sizes according to the multiple tool sizes (length, width, thickness) to be forged and the multiple target residual material ratios. It should be noted that Tables 1 to 3 of this example use a spanner as an example of a tool to be forged, but Tables 1 to 3 can also be used for forging auxiliary design of other tools, and other tools can adjust the internal parameters and corresponding values ​​according to experience and actual needs, and this case is not limited to this.

[0033] For example, the computing unit 13 can obtain the volume of the tool model 2 to be forged according to the multiple dimensions (length, width, thickness) of the tool to be forged, and then obtain the required stock volume according to the volume of the tool model 2 to be forged and the multiple target surplus material ratios. Specifically, for the opening end portion 21, the stock volume of this portion is equal to the volume of the opening end portion 21 plus the volume corresponding to the first target surplus material ratio (30%), that is, about 1.3 times (130%) of the volume of the opening end portion 21; for the handle portion 22, the stock volume of this portion is equal to the volume of the handle portion 22 plus the volume corresponding to the second target surplus material ratio (20%), that is, about 1.2 times (120%) of the volume of the handle portion 22; for the plum blossom end portion 23, the stock volume of this portion is equal to the volume of the plum blossom end portion 23 plus the volume corresponding to the third target surplus material ratio (35%), that is, about 1.35 times (135%) of the volume of the plum blossom end portion 23. Then, the blank volumes corresponding to the opening end portion 21, the handle portion 22 and the plum blossom end portion 23 are added together to obtain the required total blank volume. In addition, after obtaining multiple forging blank sizes, the computing unit 13 can also use a forging blank builder to generate a forging blank model, wherein the forging blank model is generated in a similar manner to the forging tool model, which is not described in detail here.

[0034] In another embodiment, the step S26 of obtaining forging blank parameters (dimensions) may also include: obtaining a target thermal expansion coefficient corresponding to the type of tool to be forged from the process database, and generating the plurality of forging blank parameters (dimensions) according to the target excess material ratio and the target thermal expansion coefficient. The target thermal expansion coefficient may be obtained through the thermal expansion coefficient table in Table 3.

[0035] Please refer to Figure 5 , Figure 5 FIG. 1 is a schematic diagram of a blank model generated by a forging tool die design auxiliary system according to an embodiment of the present invention. Figure 5 As shown, the blank model 3 has a length L1 and a diameter D1, wherein the blank model 3 may correspond to the intermediate mold. The computing unit 13 may determine the length L1 and the diameter D1 of the blank model 3 according to the total volume of the blank obtained above. Specifically, the length L1 of the blank model 3 may be obtained according to the following relationship:

[0036] Relationship (1): L1 = (V + V') ​​ / A

[0037] In the relational expression (1), V is the volume of the tool model 2 to be forged, V' is the residual material volume, and A is the cross-sectional area of ​​the blank model 3.

[0038] Please refer to Figure 6 , Figure 6FIG. 1 is a schematic diagram of a forging blank model generated by a die design auxiliary system for forging tools according to an embodiment of the present invention. Figure 6 As shown, the forging blank model 4 has an overall length L2 and a plurality of lengths L3, L4 and L5 corresponding to different parts, and has a plurality of diameters D2, D3 and D4 corresponding to different parts, wherein the forging blank model 4 may correspond to the intermediate die. Figure 4 , the first part 41 of the forging blank model 4 corresponds to the open end part 21 of the tool model 2 to be forged, the second part 42 of the forging blank model 4 corresponds to the handle part 22 of the tool model 2 to be forged, and the third part 43 of the forging blank model 4 corresponds to the plum blossom end part 23 of the tool model 2 to be forged. Therefore, the calculation unit 13 can obtain the required volume of each part of the forging blank model 4 according to the size of the tool to be forged of each part and the target residual material ratio to determine the multiple forging blank sizes. It should be noted that the partial volumes of the first part 41, the second part 42 and the third part 43 of the forging blank model 4 can be approximated to the volume of a cylinder with the same size, and the calculation method of the multiple forging blank sizes will not be repeated here. It should be noted that by obtaining the sizes of these blank models 3 and forging blank models 4, the corresponding multiple sets of relevant parameters (sizes) of the intermediate mold can be generated to meet the multi-step forging process.

[0039] In step S27, the calculation unit 13 may determine the target thermal expansion coefficient according to the material thermal expansion coefficient table shown in Table 3, and obtain multiple mold parameters according to the multiple tool sizes to be forged and the target thermal expansion coefficient. Specifically, the calculation unit 13 may calculate the shrinkage rate of the multiple tool sizes to be forged due to cooling after hot forging according to the target thermal expansion coefficient, please refer to the following relationship:

[0040] Relationship (2): S = α f ΔT f -α d ΔT d

[0041] In equation (2), S is the shrinkage rate, α f is the thermal expansion coefficient of the forging material, ΔT f is the temperature change of the forging blank during the hot forging process, α d is the thermal expansion coefficient of the mold material, ΔT d is the temperature change of the die during the hot forging process. Further, after the shrinkage rate is calculated, multiple die dimensions can be obtained, such as die length, die width, die depth, etc. In addition, the multiple die dimensions also include a residual material thickness, please refer to the following relationship:

[0042] Relation (3):

[0043] In equation (3), T f is the thickness of the excess material, and A is the pressurized area of ​​the forging blank during the hot forging process. After obtaining the excess material thickness, the mold parameters such as the die spacing and the width of the escape edge can be further calculated. For example, the die spacing can be the excess material thickness plus 0.1 times the handle thickness, and the escape edge width can be the excess material thickness plus 10 mm. It should be noted that the present case is not limited to obtaining the multiple mold parameters through the above relationship. After obtaining multiple mold parameters (step S27), similar to the method of generating the tool model to be forged in step S23, the model of the mold can be generated through 3D drawing software. That is, after obtaining multiple mold parameters, the computing unit 13 can also use a mold builder to generate a mold model, wherein the mold model is generated in a similar manner to the forging blank model, which will not be repeated here. So far, through the above auxiliary design system and method, the various dimensions and process parameters of the forging blank and the mold can be determined, so that the efficiency of the subsequent forging process is improved.

[0044] In other embodiments, the above-mentioned calculation unit may further include a forming load estimation model. The forming load estimation model is used to estimate the applied pressure required for the hot forging process based on the type of tool to be forged (including geometric shape, material hardness, etc.) and the size of the tool to be forged. In this example, the calculation unit can be further used to input the type of tool to be forged and the multiple sizes of the tools to be forged into the forming load estimation model using a forming force estimator to obtain an estimated forming force. Specifically, the forming load estimation model can be a simulation model of Deform-3D software. Please refer to Table 4 below, which is a forming load estimation table, which includes the applied pressure (load) required in multiple hot forging processes.

[0045] Table 4:

[0046]

[0047] Please refer to Figure 7 , Figure 7 FIG. 1 is a flow chart of additional steps of a die design auxiliary method for forging tools according to another embodiment of the present invention. Figure 7 As shown, in this example, the operation unit can be further used to execute: step S31: obtain multiple candidate models of multiple candidate parts, and the multiple candidate models correspond to multiple test residual material ratios respectively; step S32: simulate forging the multiple candidate models to generate multiple analysis results; step S33: obtain a feasible residual material ratio corresponding to one of the multiple analysis results indicating that there is no material shortage; and step S34: use the feasible residual material ratio as one of the multiple candidate residual material ratios in the forging billet residual material parameter table.

[0048] Please combine Figure 7 refer to Figure 8 , Figure 8 Based on Figure 7 The various parts of the wrench shown in the embodiment are analyzed by simulated forging under different test residual material ratios. Figure 7 and Figure 8 As shown, in step S31, the operation unit can obtain multiple candidate models of the open end part, the handle part and the plum blossom end part, wherein the multiple candidate models each correspond to multiple test surplus material ratios. In steps S32 and S33, the operation unit can simulate forging the candidate models corresponding to different test surplus material ratios to generate multiple analysis results, and indicate that the test surplus material ratio corresponding to one of the multiple analysis results indicating no shortage is a feasible surplus material ratio. For example, for the open end part, the test surplus material ratio can include 20%, 30%, etc. From the analysis results, when the test surplus material ratio is 20%, a shortage part SP1 will be generated, and when the test surplus material ratio is 30%, no shortage part will be generated. Therefore, 30% (or above) can be used as a feasible surplus material ratio for the open end part. Similarly, for the handle portion, when the test surplus material ratio is 10%, a missing material portion SP2 will be generated, and when the test surplus material ratio is 20%, no missing material portion will be generated; for the plum blossom end portion, when the test surplus material ratio is 20%, a missing material portion SP3 will be generated, when the test surplus material ratio is 30%, a missing material portion SP4 will be generated, and when the test surplus material ratio is 35%, no missing material portion will be generated. Through the above approach, in step S34, the feasible surplus material ratio can be used as one of the multiple candidate surplus material ratios of the forging blank surplus material parameter table shown in Table 2.

[0049] The auxiliary design system and auxiliary design method described above provide a solution that allows users to operate conveniently and design easily. In one implementation, the auxiliary design system can first confirm the blanking volume, confirm the product volume (including the calculation of shrinkage), determine the size of the rolling forging blank, determine the allocation of the remaining material volume, and confirm whether the filling is complete according to the design rules. If it is confirmed that the filling is not complete, the blanking volume is reconfirmed. If it is confirmed that the filling is complete, the hot forging of the tool is completed, and the 2D / 3D model of the mold, i.e. the process forging blank, and the material utilization rate (material yield) are obtained.

[0050] Through the above structure, the die design auxiliary system and die design auxiliary method for forging tools disclosed in this case can effectively summarize the target residual material ratio of different parts of the tool to be forged, and obtain multiple forging blank sizes and die parameters by establishing a process database including a forging blank residual material parameter table and a material thermal expansion coefficient table. In this way, the auxiliary design system and method of this case can provide the industry with a direction to follow when developing new products, reduce the development schedule, and at the same time reduce the residual material ratio in the tool forging process (increase the hot forging material yield), thereby improving the competitiveness of the industry. In addition, the process database may further include a forming load estimation model, so that the estimated forming force can be accurately estimated. The above-mentioned die parameters include the residual material thickness and the mold spacing, which are crucial in the hot forging process.

[0051] (Explanation of symbols)

[0052] 1: Forging tool die design auxiliary system

[0053] 11: User Interface

[0054] 12: Operation unit

[0055] 13: Process database

[0056] 2: Tool model to be forged

[0057] 21: Open end part

[0058] 22: Handle

[0059] 23: Plum blossom end

[0060] 3: Blank model

[0061] 4: Forging model

[0062] 41: Part 1

[0063] 42: Part 2

[0064] 43: Part 3

[0065] S11-S12, S21-S27, S31-S34: Steps

[0066] L,L1,L2,L3,L4,L5: Length

[0067] W1,W2,W3: Width

[0068] T1, T2, T3: thickness

[0069] θ: Angle

[0070] D1,D2,D3: diameter

[0071] SP1,SP2,SP3,SP4: missing parts

Claims

1. A die design auxiliary method for a forging tool, executed by a computer system, the computer system comprising a user interface, a process database and a computing unit, the die design auxiliary method for a forging tool comprising: Receiving a tool type to be forged by the user interface, the tool type to be forged comprising a plurality of tool parameters to be forged; and The computing unit generates a set of terminal dies and a plurality of sets of intermediate dies according to the parameters of the tools to be forged. The terminal dies and the intermediate dies are each divided into a plurality of target areas. Each of the target areas has a target residual material ratio. A plurality of sets of forging blank parameters are generated according to the target residual material ratio to correspond to the terminal dies and the intermediate dies, respectively. in, The target residual material ratio is obtained from the process database. The process database has a forging blank residual material parameter table. The forging blank residual material parameter table includes a plurality of candidate residual material ratios of a plurality of candidate areas.

2. The die design auxiliary method for forging tools as claimed in claim 1, wherein the type of tool to be forged further includes a type of tool to be forged, and the computing unit generates the terminal die and the intermediate dies according to the parameters of the tool to be forged, and the terminal die and the intermediate dies are each divided into the target areas, each of the target areas has the target residual material ratio, and the forging blank parameters are generated according to the target residual material ratio to correspond to the terminal die and the intermediate dies respectively, including: Obtaining the forging blank residual material parameter table and a material thermal expansion coefficient table from the process database, wherein the material thermal expansion coefficient table includes a plurality of candidate thermal expansion coefficients corresponding to a plurality of materials respectively; Generating a model of the tool to be forged according to the type of the tool to be forged and the sizes of the tools to be forged; Dividing the model of the tool to be forged into a plurality of parts according to at least one of the type of the tool to be forged and the sizes of the tools to be forged; Determine a plurality of desired residual material ratios corresponding to the parts respectively according to the forging blank residual material parameter table; Obtaining a plurality of forging blank sizes according to the sizes of the tools to be forged and the desired residual material ratios; and A target thermal expansion coefficient corresponding to the type of the tool to be forged is determined according to the material thermal expansion coefficient table, and a plurality of die parameters are obtained according to the sizes of the tools to be forged and the target thermal expansion coefficient.

3. The die design auxiliary method for forging tools as claimed in claim 1, wherein generating the forging blank parameters according to the target residual material ratio comprises: A target thermal expansion coefficient corresponding to the type of tool to be forged is obtained from the process database, and the forging blank parameters are generated according to the target residual material ratio and the target thermal expansion coefficient. in, The process database further establishes a material thermal expansion coefficient table, which includes a plurality of candidate thermal expansion coefficients of a plurality of candidate materials.

4. The die design assisting method for forging tools as claimed in claim 3 further comprises: Calculating a plurality of die dimensions according to a plurality of to-be-forged tool dimensions among the to-be-forged tool parameters and the target thermal expansion coefficient, wherein the plurality of die dimensions include a residual material thickness; and A die spacing is calculated according to the sizes of the tools to be forged and the thickness of the residual material.

5. The die design assisting method for forging tools as claimed in claim 1, further comprising: The parameters of the tool to be forged are input into a forming load prediction model to obtain an estimated forming force.

6. The die design assisting method for forging tools as claimed in claim 1, further comprising: Obtaining a plurality of candidate models of the candidate areas, the candidate models corresponding to a plurality of test residue ratios respectively; Simulating and forging the candidate models to generate a plurality of analysis results; Obtaining a feasible remaining material ratio corresponding to one of the analysis results indicating no material shortage; and The feasible residual material ratio is used as one of the candidate residual material ratios in the forging billet residual material parameter table.

7. The die design auxiliary method for a forging tool as claimed in claim 1, wherein generating the terminal die and the intermediate dies comprises: According to a plurality of different widths of the parameters of the tools to be forged, the terminal die and the intermediate dies are each divided into the target areas.

8. The die design auxiliary method for forging tools as claimed in claim 1, wherein generating a plurality of sets of forging blank parameters according to the target excess material ratio comprises: Obtaining a volume of the tool to be forged according to a plurality of dimensions of the tool to be forged among the parameters of the tool to be forged; and The sizes of the forging blanks are obtained according to the volume of the tool to be forged and the target excess material ratio.

9. A die design auxiliary system for forging tools, comprising the user interface, the process database and the computing unit for executing the die design auxiliary method for forging tools as claimed in any one of claims 1 to 8.

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