A design method and device for automobile stamping die

Abstract

The present invention provides a design method and device for automobile stamping dies, which relates to the field of computers, and includes: step 1, obtaining the constraint relationship of the die; step 2, training the algorithm model; step 3, inputting the part model of the die to be designed; step 4, recommending the constraint relationship of the die design; and step 5, forming a die design scheme. The present invention establishes a mapping relationship between the part model of the die to be designed and the geometric constraints and the geometric structure of the die by learning the geometric constraints in the die design process, so as to realize the rapid recommendation of the die design scheme, and the recommended scheme has a high accuracy rate and convenient data storage.

Description

Technical Field

[0001] The invention relates to the technical field of mechanical design, and in particular to a design method and device for an automobile stamping die. Background Art

[0002] In the field of mechanical design, there are a large number of historical mechanical design solutions, such as mold design. When design engineers get a design scenario, they tend to find a set of similar or partially satisfying solutions from the historical mechanical design solutions and modify them.

[0003] The general method is to manually adjust the constraint parameters of the design scheme, including geometric constraints (mold concave and convex surfaces, transition angles, parting surfaces, cavity shapes, runners, gate sizes, etc.) and geometric structure constraints to meet the design requirements, or to sort out the generation logic of this set of schemes and generate a final scheme that meets the current design requirements by writing some program rules for such schemes. Such methods involve a lot of modification work and have poor versatility, and cannot meet the needs of efficient operation of modern design.

[0004] There is no effective solution to the above problems. Summary of the invention

[0005] In view of this, an object of the present invention is to provide a design method and device for an automobile stamping die, so as to alleviate the technical problem of low efficiency of the existing automobile stamping die design method.

[0006] In the first aspect, an embodiment of the present invention provides a design method for an automobile stamping die, comprising: step one, obtaining the constraint relationship of the die; step two, training the algorithm model; step three, inputting the part model of the die to be designed; step four, recommending the die design constraint relationship; step five, forming a die design scheme.

[0007] Furthermore, the constraint relationship of the mold in step 1 mainly includes geometric constraints (shape, size), geometric structure relationship constraints, and structural posture constraints.

[0008] Furthermore, the training algorithm model described in step 2 includes the following steps: A. Extracting constraint relationship feature parameters of the mold structure; B. Establishing a mapping relationship between the part model of the mold to be designed and the constraint relationship feature parameters and the mold geometric structure to form a sample; C. Importing the sample into the algorithm model for learning, training, and evaluation; D. Forming a recommendation algorithm model.

[0009] Furthermore, the constraint relationship of the recommended mold design in step 4 also includes geometric constraints (shape, size), geometric structure relationship constraints, and structural posture constraints.

[0010] Furthermore, the formation of the mold design scheme in step five is obtained by learning the mapping relationship between the part model, constraint relationship feature parameters and mold geometry of the mold to be designed according to the algorithm model.

[0011] Furthermore, the method also includes: the extracted mold structure constraint relationship characteristic parameters are geometric constraints (shape, size), geometric structure relationship constraints, and structural posture constraints are formed into a data structure file.

[0012] In the second aspect, an embodiment of the present invention also provides a design device for an automobile stamping mold, comprising: a part model input unit of the mold to be designed, a constraint relationship recommendation unit and a design scheme forming unit, wherein the part model input unit of the mold to be designed is used to import the parts of the mold to be designed; the constraint relationship recommendation unit is used to recommend the constraint relationship of the mold to be designed based on the part model of the mold to be designed and an algorithm model trained with historical data; the design scheme forming unit is used to form a design scheme geometric model based on the part model of the mold to be designed and the constraint relationship.

[0013] Furthermore, the constraint relationship includes: geometric constraints (shape, size), geometric structure relationship constraints, and structural posture constraints.

[0014] In an embodiment of the present invention, by obtaining the digital model of the parts of the automobile stamping die to be designed; inputting the digital model of the parts into a preset learning model to determine the constraint relationship of the target automobile stamping die; based on the constraint relationship of the automobile stamping die to be designed and the digital model of the parts of the automobile stamping die to be designed, determining the specific parameters in the constraint relationship of the automobile stamping die to be designed, forming a mold design scheme, thereby achieving the purpose of reducing the workload of design engineers, and further solving the technical problem of low efficiency of the existing automobile stamping die design method, thereby achieving the technical effect of improving the work efficiency of mechanical design work.

[0015] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of a method for designing an automobile stamping die provided by an embodiment of the present invention;

[0019] Figure 2 The design intention of an automobile stamping die provided by an embodiment of the present invention;

[0020] Figure 3 A schematic diagram of parts corresponding to an automobile stamping die provided by an embodiment of the present invention;

[0021] Figure 4 A schematic diagram of a design device for an automobile stamping die provided by an embodiment of the present invention;

[0022] Figure 5 A schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Embodiment 1:

[0025] According to an embodiment of the present invention, an embodiment of a method for designing an automobile stamping die is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] Figure 1 FIG. 1 is a flow chart of a method for designing an automobile stamping die according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0027] Step 1: Obtain the constraint relationship of the mold;

[0028] Step 2: Training algorithm model;

[0029] Step 3: Input the part model of the mold to be designed;

[0030] Step 4: Recommend mold design constraints;

[0031] Step 5: Form a mold design plan.

[0032] Specifically, first, obtain the digital model of the parts of the automobile stamping die to be designed;

[0033] It should be noted that the above-mentioned part digital model at least includes: a three-dimensional digital model of the part.

[0034] Then, the digital model of the part is input into a preset learning model to determine the constraint relationship of the target automobile stamping die;

[0035] Next, based on the part digital model and constraint relationship of the automobile stamping die to be designed, specific parameters in the constraint relationship of the automobile stamping model to be designed are determined;

[0036] Finally, based on the constraint relationship of determining the specific parameters, a design scheme of the automobile stamping die is formed.

[0037] In an embodiment of the present invention, by obtaining the digital model of the automobile stamping parts to be designed; inputting the digital model of the parts into a preset learning model, determining the constraint relationship of the automobile stamping die to be designed, and based on the digital model of the parts of the automobile stamping die to be designed, determining the specific parameters in the constraint relationship, and based on the constraint relationship determined by the specific parameters, forming a design scheme of the automobile stamping die, the purpose of reducing the workload of design engineers is achieved, and further solving the technical problem of low efficiency of the existing design method of automobile stamping die, thereby achieving the technical effect of improving the work efficiency of automobile stamping die design work.

[0038] In an embodiment of the present invention, inputting the part digital model into a preset learning model to determine the constraint relationship of the target automobile stamping die includes the following steps:

[0039] Step S11, inputting the part digital model into a preset learning model to obtain a feature matching value between the part digital model of the automobile stamping die to be designed and the part digital model of a preset automobile stamping die;

[0040] Step S12, determining the constraint relationship of the automobile stamping die to be designed based on the feature matching value of the part digital model.

[0041] In an embodiment of the present invention, after the part digital model of the automobile stamping die to be designed is input into the preset learning model, the part digital model is matched with the part digital model of the preset automobile stamping die stored in the preset learning model to obtain the feature matching value between the part digital model of the automobile stamping die to be designed and the part digital model of each preset automobile stamping die.

[0042] Then, the preset mold constraint relationship corresponding to the maximum value of the feature matching value between the part digital model of the automobile stamping mold to be designed and the part digital model of each preset automobile stamping mold is determined as the constraint relationship of the automobile stamping mold to be designed, thereby obtaining the constraint relationship of the automobile stamping mold to be designed.

[0043] It should be noted that the above-mentioned feature matching value is mainly based on the cosine approximation calculation of the one-dimensional vector or the edit distance approximation calculation of the one-dimensional vector.

[0044] In an embodiment of the present invention, a set of data structures that can be used to characterize the constraint relationship of a preset mold can be defined, including: geometric constraints (shape, size), geometric structure relationship constraints, and structural posture constraints; the geometric constraints include parallel constraints, vertical constraints, coincidence constraints, symmetry constraints, horizontal constraints, vertical constraints, numerical constraints, etc., the normal of the hole, the type of hole, the depth of the hole, the diameter of the hole, chamfers, etc.

[0045] Next, a three-dimensional model corresponding to the preset mold is obtained, and the constraint relationship of the corresponding automobile stamping mold is extracted based on the data structure used to characterize the constraint relationship of the preset mold.

[0046] Finally, the digital model of the parts of the preset mold and the structural data of the constraint relationship corresponding to the preset mold are input into the initial learning model, and the initial learning model is trained to obtain the preset learning model.

[0047] The design method of the automobile stamping die in the present application can extract the constraint relationship of the automobile stamping die corresponding to the die by constructing a data structure that can represent the constraint relationship of the die in the design scheme.

[0048] Then, a deep learning algorithm or a machine learning algorithm is used, the part digital model of the preset mold and the constraint relationship structure data corresponding to the preset mold are used as training data, and the learning model is trained through supervised learning to obtain a preset learning model.

[0049] When the digital model of a new mold part is input, the constraint relationship required to manufacture the new mold is output through the preset learning model.

[0050] Figure 2 and Figure 3 An example of a design of an automobile stamping die provided by an embodiment of the present invention is as follows: Figure 2As shown, the input of this design method is Figure 2 : The digital model of the part to be designed; after the model calculation process, the output is Figure 3 The geometric model of the design scheme of the stamping die. This application can reduce the workload of design engineers and improve the versatility of the design of automobile stamping dies by designing a data structure that represents the structural features of the die in the design scheme and building a preset learning model required for mechanical design, thereby meeting the needs of efficient operation of modern design.

[0051] Embodiment 2:

[0052] An embodiment of the present invention also provides a design device for an automobile stamping die, which is used to execute the design method for an automobile stamping die provided in the above content of the embodiment of the present invention. The following is a detailed introduction to the design device for an automobile stamping die provided in the embodiment of the present invention.

[0053] like Figure 4 As shown, Figure 4 Schematic diagram of the above-mentioned automobile stamping die design device, the automobile stamping die design device comprises: a part model input unit 10 of the die to be designed, a constraint relationship recommendation unit 20 and a design scheme forming unit 30.

[0054] The part model input unit 10 of the mold to be designed is used to import the parts of the mold to be designed;

[0055] The constraint relationship recommendation unit 20 is used to recommend the constraint relationship of the mold to be designed according to the part model of the mold to be designed and the algorithm model trained with historical data;

[0056] The design solution forming unit 30 is used to form a design solution geometric model according to the part model and constraint relationship of the mold to be designed.

[0057] In an embodiment of the present invention, by obtaining the part digital model of the automobile stamping die to be designed; inputting the part digital model into a preset learning model to determine the constraint relationship of the automobile stamping die to be designed, wherein the automobile stamping die to be designed is the constraint relationship of the automobile stamping die with the highest feature matching value with the part digital model in the preset learning model; based on the number of parts of the automobile stamping die to be designed, the specific parameters of the constraint relationship in the automobile stamping die to be designed are determined; based on the constraint relationship determined by the specific parameters, the automobile stamping die design scheme is obtained, thereby achieving the purpose of reducing the workload of design engineers, and further solving the technical problem of low efficiency of the existing automobile stamping die design method, thereby achieving the technical effect of improving the work efficiency of mechanical design work.

[0058] Preferably, the constraint relationships include: geometric constraints (shape, size), geometric structure relationship constraints, and structural posture constraints.

[0059] Embodiment three:

[0060] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory is used to store a program that supports the processor to execute the method described in the above embodiment 1, and the processor is configured to execute the program stored in the memory.

[0061] See also Figure 5 An embodiment of the present invention further provides an electronic device 100, comprising: a processor 50, a memory 51, a bus 52 and a communication interface 53, wherein the processor 50, the communication interface 53 and the memory 51 are connected via the bus 52; the processor 50 is used to execute an executable module stored in the memory 51, such as a computer program.

[0062] The memory 51 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 53 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0063] The bus 52 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0064] Among them, the memory 51 is used to store programs, and the processor 50 executes the program after receiving the execution instruction. The method executed by the device for flow process definition disclosed in any embodiment of the above-mentioned embodiment of the present invention can be applied to the processor 50 or implemented by the processor 50.

[0065] The processor 50 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 50. The above processor 50 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the embodiments of the present invention can be directly embodied as a hardware decoding processor to be executed, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 51, and the processor 50 reads the information in the memory 51 and completes the steps of the above method in combination with its hardware.

[0066] Embodiment 4:

[0067] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in the above-mentioned embodiment 1 are executed.

[0068] In addition, in the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0069] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0070] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0071] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0072] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0073] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A design method for an automobile stamping die, characterized in that: The steps include: Step 1: Obtain the constraint relationship of the mold; Step 2: Training algorithm model; Step 3: Input the part model of the mold to be designed; Step 4: Recommend mold design constraints; Step 5: Form a mold design plan; Wherein, the mold to be designed in step 3 is an automobile stamping mold to be designed, and the algorithm model is a preset learning model; the method comprises: Obtain the digital model of the parts of the automobile stamping die to be designed; Input the part digital model into a preset learning model to obtain a feature matching value between the part digital model of the automobile stamping die to be designed and each preset part digital model of the automobile stamping die stored in the preset learning model; the feature matching value is calculated based on the cosine approximation of a one-dimensional vector or the edit distance approximation of a one-dimensional vector; Determine the preset die constraint relationship corresponding to the maximum value of the feature matching value between the part digital model of the automobile stamping die to be designed and the part digital model of each preset automobile stamping die as the constraint relationship of the automobile stamping die to be designed; Based on the digital model of the parts of the automobile stamping die to be designed, determine the specific parameters of the constraint relationship in the automobile stamping die to be designed; Based on the constraint relationship of specific parameters, the design scheme of the automobile stamping die to be designed is obtained.

2. The method according to claim 1, characterized in that The constraint relationship of the mold described in step 1 mainly includes geometric constraints, geometric structure relationship constraints, and structural posture constraints.

3. The method according to claim 1, characterized in that The training algorithm model described in step 2 includes the following steps: A. Extraction of constraint relationship characteristic parameters of mold structure; B. Establish the mapping relationship between the part model of the mold to be designed, the constraint relationship characteristic parameters, and the mold geometric structure to form a sample; C. Import samples into algorithm model for learning, training, and evaluation; D. Form a recommendation algorithm model.

4. The method according to claim 1, characterized in that: The constraint relationships of the recommended mold design described in step 4 also include geometric constraints, geometric structure relationship constraints, and structural posture constraints.

5. The method according to claim 3, characterized in that: The method further comprises: The extracted mold structure constraint relationship characteristic parameters are geometric constraints, geometric structure relationship constraints, and structural posture constraints formed into a data structure file.

6. A design device for automobile stamping dies, characterized in that: The design device applies the automotive stamping die design method according to any one of claims 1 to 5, comprising: a part model input unit of the die to be designed, a constraint relationship recommendation unit and a design scheme forming unit, wherein: A part model input unit of the mold to be designed, used for importing the parts of the mold to be designed; The constraint relationship recommendation unit is used to recommend the constraint relationship of the mold to be designed based on the part model of the mold to be designed and the algorithm model trained with historical data; The design scheme forming unit is used to form a design scheme geometric model according to the part model and constraint relationship of the mold to be designed.

7. The device according to claim 6, characterized in that The constraint relationships include: geometric constraints, geometric structure relationship constraints, and structural posture constraints.

8. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory is used to store a program for supporting the processor to execute the method according to any one of claims 1 to 5, and the processor is configured to execute the program stored in the memory.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are executed.

Images