Method, device and equipment for predicting mechanical property of high-pressure die-casting part and medium

Abstract

The invention discloses a high-pressure die-casting part mechanical property prediction method, device, equipment and medium, and relates to the field of die-casting material performance prediction.The method comprises the steps that a finite element model data file and a porosity result data file are extracted based on a die flow simulation analysis result of a target die-casting part, constructing a finite element mesh model for receiving porosity data; performing porosity data mapping based on the extracted data file and the constructed finite element mesh model, and constructing a finite element simulation mesh model with porosity characteristics; establishing a representative volume element model and carrying out homogenization treatment to obtain a mechanical property parameter card with a porosity material; on the basis of the finite element simulation grid model and the mechanical property parameter card, finite element simulation analysis of the anisotropic mechanical behavior casting with the porosity characteristic is conducted on the target die-casting part to obtain the mechanical property, rapid response can be conducted on the mechanical property of the die-casting part, and the prediction efficiency of the mechanical property of the die-casting part is improved.

Description

Technical Field

[0001] The present application relates to the field of predicting the properties of die-casting materials, and particularly to a method, device, equipment and medium for predicting the mechanical properties of high-pressure die-casting components. Background Art

[0002] High Pressure Die Casting (HPDC) is one of the most popular processes for producing large, complex and thin-walled parts, which has the advantage of near-net shaping. At present, aluminum alloys and magnesium alloys, as the most potential lightweight materials in the fields of aerospace, rail transit and automotive industries, are used to fill the mold cavity with liquid alloy under pressure through high-pressure die-casting equipment to obtain parts with specific structures.

[0003] When liquid metal fills a mold cavity with a complex structure at a very high speed from the ingate, a violent heat exchange occurs at the contact interface between the liquid metal and the mold. This process is characterized by rapid filling and rapid solidification, resulting in the formation of specific microstructures and defects inside the casting. For example, external solidification structures (ESCs), iron-rich phases, gas pores and shrinkage porosities are formed in the shot sleeve.

[0004] The influence of the pore size, distribution and volume fraction in the casting on its mechanical properties is extremely important and uncertain. Pores include gas pores and shrinkage pores, which are randomly distributed in various parts of the casting. Generally, numerical simulation is used to predict the porosity in the casting to optimize the process parameters during die-casting and reduce the pores in the casting to improve the mechanical properties. However, due to the differences in the structure and microstructure of each part of the casting, non-uniform material properties are exhibited, and a large number of experiments are required for analysis, resulting in the inability to quickly respond to the mechanical properties of the casting and low efficiency. Summary of the Invention

[0005] The purpose of the present application is to provide a method, device, equipment and medium for predicting the mechanical properties of high-pressure die-casting components, which can quickly respond to the mechanical properties of die-casting components and improve the prediction efficiency of the mechanical properties of die-casting components.

[0006] To achieve the above purpose, the present application provides the following solutions:

[0007] In a first aspect, the present application provides a method for predicting the mechanical properties of high-pressure die-casting components, including:

[0008] Constructing a finite element model of the target die-casting component and performing mold flow simulation analysis using the finite element model to obtain post-processing result data of die-casting forming simulation; the post-processing result data of die-casting forming simulation includes: porosity simulation results;

[0009] Extract the finite element model data file and the porosity result data file based on the post - processing result data of the die - casting forming simulation, and use Abaqus software to establish a corresponding model file for submission to solve the calculation. Based on the model file for submission to solve the calculation, construct a finite element mesh model for receiving porosity data;

[0010] Perform porosity data mapping based on the finite element model data file, the porosity result data file, and the finite element mesh model for receiving porosity data, and construct a finite element simulation mesh model with porosity characteristics;

[0011] Establish a representative volume element model that includes all the characteristics of the internal pores of the target die - casting part, and perform homogenization on the non - linear porous composite material with the representative volume element model based on the average - field homogenization theory method to obtain the mechanical property parameter card of the material with porosity;

[0012] Based on the finite element simulation mesh model with porosity characteristics and the mechanical property parameter card of the material with porosity, perform finite element simulation analysis on the anisotropic mechanical behavior casting of the target die - casting part with porosity characteristics to obtain the mechanical properties of the materials at different parts of the target die - casting part during the die - casting process.

[0013] In a second aspect, the present application provides a device for predicting the mechanical properties of a high - pressure die - casting part, including:

[0014] A mold flow simulation module, which is used to construct a finite element model of the target die - casting part and perform mold flow simulation analysis using the finite element model to obtain the post - processing result data of the die - casting forming simulation; the post - processing result data of the die - casting forming simulation includes: porosity simulation results;

[0015] A finite element mesh model construction module, which is used to extract the finite element model data file and the porosity result data file based on the post - processing result data of the die - casting forming simulation, and use Abaqus software to establish a corresponding model file for submission to solve the calculation, and construct a finite element mesh model for receiving porosity data based on the model file for submission to solve the calculation;

[0016] A finite element simulation mesh model construction module, which is used to perform porosity data mapping based on the finite element model data file, the porosity result data file, and the finite element mesh model for receiving porosity data, and construct a finite element simulation mesh model with porosity characteristics;

[0017] A representative volume element construction and homogenization module, which is used to establish a representative volume element model that includes all the characteristics of the internal pores of the target die - casting part, and perform homogenization on the non - linear porous composite material with the representative volume element model based on the average - field homogenization theory method to obtain the mechanical property parameter card of the material with porosity;

[0018] A mechanical property prediction module, which is used to perform finite element simulation analysis on a target die-cast component for an anisotropic mechanical behavior casting with porosity characteristics based on a finite element simulation mesh model with porosity characteristics and a mechanical property parameter card of a material with porosity, so as to obtain the mechanical properties of materials at different parts of the target die-cast component during the die-casting process.

[0019] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the high-pressure die-cast component mechanical property prediction method described in any one of the above.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the high-pressure die-cast component mechanical property prediction method described in any one of the above.

[0021] According to the specific embodiments provided by the present application, the present application has the following technical effects:

[0022] The present application provides a method, device, equipment and medium for predicting the mechanical properties of high-pressure die-cast components. Based on the results of mold flow simulation analysis, a finite element model data file and a porosity result data file are extracted, and a finite element mesh model for receiving porosity data is constructed; porosity data mapping is performed based on the extracted data files and the constructed finite element mesh model to construct a finite element simulation mesh model with porosity characteristics; a Representative Volume Element (RVE) model is established and homogenized to obtain a mechanical property parameter card of a material with porosity; based on the finite element simulation mesh model and the mechanical property parameter card, finite element simulation analysis of the anisotropic mechanical behavior casting with porosity characteristics of the target die-cast component is performed to obtain the mechanical properties. The present application predicts the common porosity defects in die-cast components and maps them into the finite element model for mechanical property prediction, and can quickly predict the influence of porosity on the mechanics of die-cast components. Therefore, the present application realizes the rapid response to the mechanical properties of die-cast components and improves the prediction efficiency of the mechanical properties of die-cast components. Description of the Drawings

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0024] Figure 1 Schematic flow diagram of a method for predicting the mechanical properties of a high-pressure die-cast component provided by an embodiment of the present application;

[0025] Figure 2 Schematic diagram of a three-dimensional casting geometry model provided by an embodiment of the present application;

[0026] Figure 3 Schematic diagram of the die geometry model in Procast software provided by an embodiment of the present application;

[0027] Figure 4 Schematic diagram of the casting mesh model and the die mesh model in Procast software provided by an embodiment of the present application;

[0028] Figure 5 Schematic diagram of the casting solidification porosity distribution map in Procast software provided by an embodiment of the present application;

[0029] Figure 6 Schematic diagram of the finite element mesh model for receiving porosity data provided by an embodiment of the present application;

[0030] Figure 7 Schematic diagram of the result of loading the porosity volume fraction data exported from Procast software into the die-casting simulation finite element mesh in Digimat provided by an embodiment of the present application;

[0031] Figure 8 Schematic diagram of the successfully loaded received data mesh provided by an embodiment of the present application;

[0032] Figure 9 Schematic diagram of the coincidence of the mapped data mesh and the received data mesh in space provided by an embodiment of the present application;

[0033] Figure 10 Schematic diagram of the finite element simulation mesh model with porosity characteristics provided by an embodiment of the present application;

[0034] Figure 11 Schematic diagram of the simulation results of the finite element model with pore mapping and the finite element model without pore mapping provided by an embodiment of the present application;

[0035] Figure 12 Schematic diagram of the method for predicting the mechanical properties by selecting a sample of heat-treatable die-cast aluminum alloy material with a typical microscopic pore structure as the modeling and simulation object provided by an embodiment of the present application;

[0036] Figure 13 Schematic diagram of the functional modules of a device for predicting the mechanical properties of a high-pressure die-cast component provided by another embodiment of the present application;

[0037] Figure 14A schematic structural diagram of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0038] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0039] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.

[0040] In an exemplary embodiment, as Figure 1 shown, a method for predicting the mechanical properties of a high-pressure die-cast component is provided, including:

[0041] Step 101, constructing a finite element model of the target die-cast component, and performing mold flow simulation analysis using the finite element model to obtain die-casting forming simulation post-processing result data.

[0042] Among them, the die-casting forming simulation post-processing result data includes: the simulation result of porosity (Total Shrinkage Porosity).

[0043] Step 102, extracting a finite element model data file and a porosity result data file based on the die-casting forming simulation post-processing result data, and using Abaqus software to establish a corresponding model file for submitting and solving calculations, and constructing a finite element mesh model for receiving porosity data based on the model file for submitting and solving calculations.

[0044] Step 103, performing porosity data mapping based on the finite element model data file, the porosity result data file, and the finite element mesh model for receiving porosity data, and constructing a finite element simulation mesh model with porosity characteristics.

[0045] Step 104, establishing a representative volume element model including all the characteristics of the internal pores of the target die-cast component, and performing homogenization processing on the nonlinear porous composite material with the representative volume element model based on the average field homogenization theory method to obtain a mechanical property parameter card of the material with porosity.

[0046] Step 105: Based on the finite element simulation mesh model with porosity characteristics and the mechanical property cards of materials with porosity, perform finite element simulation analysis on the target die-cast part for anisotropic mechanical behavior castings with porosity characteristics to obtain the mechanical properties of materials at different parts of the target die-cast part during the die-casting process.

[0047] Implementing the above-mentioned Step 101 to Step 105, through finite element modeling and simulation with pore mapping, it is possible to quickly respond to the mechanical properties of die-cast parts, improve the prediction efficiency of the mechanical properties of die-cast parts, and optimize the die-casting process plan.

[0048] In another exemplary embodiment of the present application, Step 101 specifically includes:

[0049] (1) Use UG 10.0 software to perform geometric modeling on the target die-cast part to obtain a three-dimensional casting geometric model, as Figure 2 shown.

[0050] (2) Based on the three-dimensional casting geometric model, use Procast software to establish a mold geometric model.

[0051] Specifically, export the three-dimensional CAD model file (*.x_t) applicable to Procast software from the established three-dimensional casting geometric model, and import the three-dimensional CAD model file from the Mesh module of the Procast software platform to establish the corresponding mold geometric model, as Figure 3 shown.

[0052] (3) Perform finite element mesh division on the three-dimensional casting geometric model and the mold geometric model to obtain a casting mesh model and a mold mesh model.

[0053] Specifically, perform finite element mesh division on the three-dimensional casting geometric model and the mold geometric model, where the size of the casting mesh element is 1, the size of the mold mesh element is 10, and the size of the transition mesh element is 3. The mesh model is as Figure 4 shown.

[0054] (4) Use Procast software to perform parameter settings on the casting mesh model and the mold mesh model to obtain the finite element model.

[0055] Specifically, transfer the casting mesh model and the mold mesh model established based on the Mesh module to the Cast module of Procast software and perform parameter settings; the parameters include: aluminum alloy material property parameters and mold material (H13) parameters, heat transfer parameters between the mold and the outside, interface heat transfer coefficient between the molten metal and the mold during the filling process, flow velocity of the molten metal at the feeding port, and model solution parameters.

[0056] Subsequently, post - processing the results of the mold flow simulation analysis using the finite - element model, the porosity simulation results obtained are as Figure 5 shown.

[0057] In another exemplary embodiment of the present application, in step 102, extracting the finite - element model data file and the porosity result data file based on the post - processing result data of the die - casting forming simulation specifically includes:

[0058] (1) Export the casting mesh model corresponding to the porosity simulation result in the first data format from the post - processing module (Viewer) of Procast software to obtain the finite - element model data file. In this step, the exported component object is the casting, and the exported data format and the first data format are *_M01.

[0059] (2) Export the porosity simulation result in the second data format from the post - processing module (Viewer) of Procast software to obtain the porosity result data file. In this step, the exported data format, i.e., the second data format, is *.ntl.

[0060] In another exemplary embodiment of the present application, in step 102, using Abaqus software to establish a corresponding model file for submitting the solution calculation, and constructing a finite - element mesh model for receiving porosity data based on the model file for submitting the solution calculation, specifically includes: establishing a corresponding model file (*.inp) for submitting the solution calculation through the finite - element analysis software Abaqus software, which contains the unit node information for the finite - element solution of the target mechanical property simulation area, for receiving the post - processing data of the process simulation software Procast software, and the received data is of the porosity data type. The target local area involved in this embodiment is Figure 2 area ① in Figure 6 shown, and the mesh for receiving data is a hexahedral element.

[0061] In another exemplary embodiment of the present application, step 103 specifically includes:

[0062] (1) Load the finite - element model data file and the porosity result data file in the Donormesh option of Digimat - MAP software to obtain the mapped data mesh.

[0063] Specifically, according to the mapping data obtained in step 102, a finite element mesh, a data receiving finite element mesh, and a mapping data object are provided. In the Donormesh option of the data mapping module in the Digimat-MAP software, the finite element mesh data file providing the mapping data is loaded, that is, the finite element model data file (*_M01) and the porosity result data file (*.ntl). The successfully loaded mapping data mesh is as shown in Figure 7 shown.

[0064] (2) In the Receiving mesh option of the Digimat-MAP software, the model file for submitting the solution calculation exported from the finite element mesh model for receiving porosity data is loaded to obtain the received data mesh.

[0065] Specifically, the finite element mesh for receiving the porosity result data of the process simulation is loaded. The CAE solver used in this embodiment is Abaqus Standard. In the Receiving mesh option of the data mapping module in the Digimat-MAP software, the finite element mesh data file for receiving the porosity data mapping is loaded, that is, the model file for submitting the solution calculation (*.inp). The successfully loaded received data mesh is as shown in Figure 8 shown.

[0066] (3) Use the spatial position coincidence function in the Digimat software to make the mapping data mesh and the received data mesh coincide in space.

[0067] Specifically, for the porosity data result mapping, the finite mesh of the received finite element mesh data established in step 102 is used to achieve the coincidence of the mapping data mesh and the received data mesh in space through the spatial position coincidence function provided in the Digimat software, as shown in Figure 9 shown.

[0068] (4) Use the coincident mapping data mesh and received data mesh to perform porosity data mapping to obtain a finite element simulation mesh model with porosity characteristics.

[0069] Specifically, after the mapping data mesh and the received data mesh coincide in space, porosity data mapping is performed. The finite element mesh model after successful mapping, that is, the finite element simulation mesh model with porosity characteristics, is as shown in Figure 10 shown. After the mapping is completed, the mapping data file (*.dof) is exported.

[0070] In another exemplary embodiment of the present application, in step 104, a representative volume element model including all the characteristics of the internal pores of the target die-cast part is established, specifically including:

[0071] (1) Use JmatPro software to measure the mechanical property parameters of the target die-cast component (such as a dense heat-treatable die-cast aluminum alloy material), and obtain the material property parameters and mechanical property parameters of the target die-cast component, including the density, Young's modulus, Poisson's ratio, yield stress, etc. of the matrix phase material.

[0072] (2) Use X-ray computed tomography (CT) technology to reconstruct the internal pores of the target die-cast component, obtain the pore volume fraction, and use the pore volume fraction as the input of the volume ratio of the second-phase material (Void) in the Digimat-MF software.

[0073] (3) Based on the material property parameters, the mechanical property parameters, and the pore volume fraction, use the uniaxial tensile loading method to calculate a representative volume element model that includes all the characteristics of the internal pores of the target die-cast component.

[0074] In another exemplary embodiment of the present application, in step 104, based on the average field homogenization theory method, the nonlinear pore composite material with a representative volume element model is homogenized to obtain a mechanical property parameter card of the material with porosity, specifically including:

[0075] (1) Multiply the strain concentration tensor B ε by the strain <ε>0 of the matrix to obtain the strain ε>1 containing the second-phase material. The calculation formula is: <ε>1 = B ε : <ε>0.

[0076] (2) Calculate the strain value <ε> of the nonlinear pore composite material with a representative volume element model according to the strain <ε>1 containing the second-phase material, the volume fraction v1 of the second-phase material, the strain <ε>0 of the matrix, and the volume fraction v0 of the matrix. The calculation formula is: <ε> = v0<ε>0 + v1<ε>1, where v1 + v0 = 1.

[0077] Through the above steps (1) and (2), the homogenization process of homogenizing the nonlinear pore composite material with a representative volume element model based on the average field homogenization theory method is realized.

[0078] (3) Obtain a mechanical property parameter card of the material with porosity in the Digimat software through the above homogenization principle, that is, based on the strain value of the nonlinear pore composite material with a representative volume element model, use the Digimat software to determine the mechanical property parameter card of the material with porosity. The mechanical property parameter card includes: Young's modulus and Poisson's ratio.

[0079] In another exemplary embodiment of the present application, step 105 specifically includes:

[0080] (1) Generate a material description file (*.daf) based on the mechanical property parameter card of the material with porosity.

[0081] (2) Export a mapping data file (*.dof) from the finite element simulation mesh model with porosity characteristics.

[0082] (3) Use Digimat-CAE software to load the material description file (*.daf) generated by Digimat-MF software, and load the mapping data file (*.dof) containing the porosity mapping results to perform pre-computation of material properties to obtain pre-computation results.

[0083] (4) Determine the interface interaction file (*.aba) according to the pre-computation results, and use the interface interaction file (*.aba) to modify the material properties of the model file (*.inp) submitted for solution calculation in Abaqus software.

[0084] (5) Configure the environment variables of the model file (*.inp) submitted for solution calculation with modified material properties in Abaqus software, and use the command prompt to submit the calculation based on the environment variables to obtain the post-processing result file (*.odb).

[0085] In this embodiment, the purpose of configuring the environment variables of the model file (*.inp) submitted for solution calculation with modified material properties in Abaqus software is to ensure that the mapping data file (*.dof) for calculation, the submission calculation file (*.inp) of Abaqus software, the porosity mapping RVE material property calculation file (*.mat), and the environment variable file (abaqus_v6.env) are in the same folder path, so as to submit the calculation through the CMD command.

[0086] (6) Import the post-processing result file (*.odb) into the post-processing module of Abaqus software to obtain the mechanical properties of the materials at different parts of the target die-cast part during the die-casting process. Among them, the simulation results of the finite element model with porosity mapping are as shown in Figure 11 part (a), and the simulation results without porosity mapping are as shown in Figure 11 part (b).

[0087] Therefore, in this embodiment, the mechanical properties of large integrated die-cast parts are predicted through a finite element model with porosity mapping, providing an effective way for predicting the mechanical properties of die-cast parts.

[0088] The following selects a sample of a heat - treatable die - casting aluminum alloy material with a typical microscopic pore structure as the target die - casting component (the object of modeling and simulation), and combines it with Figure 12 , to describe a process of the mechanical property prediction method for high - pressure die - casting components in practical applications as follows: Establish a finite - element model for the simulation analysis of the high - pressure die - casting process, and obtain a series of post - processing result data of die - casting forming simulation through simulation; Extract the finite - element model data file of the post - processing results of the process simulation and the porosity result data file as the original data for providing the mapping, and establish a finite - element mesh model for receiving the porosity data mapping; Conduct the porosity data mapping of the process simulation result - mechanical property simulation finite - element mesh model to obtain a finite - element simulation mesh model with porosity characteristics; Establish a representative volume element model that includes all the characteristics of the pores inside the material to connect the mechanical behaviors at the micro - scale and the macro - scale; Conduct the homogenization treatment of the non - linear porous composite material based on the average - field homogenization theory to obtain the mechanical property parameter cards of the material with porosity; Conduct the finite - element simulation analysis of the anisotropic mechanical behavior castings with porosity characteristics to obtain the mechanical properties of the materials at different parts of the casting caused by the material inhomogeneity occurring during the die - casting process.

[0089] This application proposes a simulation modeling method for predicting the mechanical properties of the anisotropy of materials caused by porosity for high - pressure die - casting process materials with pore distribution characteristics. Specifically, on the premise of considering the porosity in the casting, the failure mode of the casting with porosity is obtained through mapped - mesh finite - element simulation analysis; Establish a representative volume element model that can reflect the distribution of pores in the material at the micro - scale; Load the homogenized material property cards of the representative volume element model and conduct the calculation of the macro - mechanical properties of the finite - element model of the specimen with pore characteristics. This modeling and simulation method can evaluate the influence of the microscopic pore structure on the macro - mechanical properties of die - casting materials, and at the same time can quickly evaluate the mechanical behaviors of die - casting parts produced under specific process conditions, further verifying the rationality of the process parameters; On the other hand, this modeling and simulation method can also be applied to the mechanical property analysis and process design optimization of other finite - element models with the mapping of post - processing results of processes containing pores.

[0090] Based on the same inventive concept, the embodiment of this application also provides a device for predicting the mechanical properties of high - pressure die - casting components for implementing the above - mentioned mechanical property prediction method for high - pressure die - casting components. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the device for predicting the mechanical properties of high - pressure die - casting components provided below can refer to the limitations on the mechanical property prediction method for high - pressure die - casting components in the above text, and will not be repeated here.

[0091] In an exemplary embodiment, as Figure 13As shown, a device for predicting the mechanical properties of a high-pressure die-cast component includes:

[0092] A mold flow simulation module 201, configured to construct a finite element model of a target die-cast component, and perform mold flow simulation analysis using the finite element model to obtain post-processing result data of die-casting forming simulation; the post-processing result data of die-casting forming simulation includes: porosity simulation results.

[0093] A finite element mesh model construction module 202, configured to extract a finite element model data file and a porosity result data file based on the post-processing result data of die-casting forming simulation, and use Abaqus software to establish a corresponding model file for submitting for solution calculation, and construct a finite element mesh model for receiving porosity data based on the model file for submitting for solution calculation.

[0094] A finite element simulation mesh model construction module 203, configured to perform porosity data mapping based on the finite element model data file, the porosity result data file, and the finite element mesh model for receiving porosity data, and construct a finite element simulation mesh model with porosity characteristics.

[0095] A representative volume element construction and homogenization module 204, configured to establish a representative volume element model including all characteristics of internal pores of a target die-cast component, and perform homogenization processing on the non-linear porous composite material with the representative volume element model based on the average field homogenization theory method to obtain a mechanical property parameter card of the material with porosity.

[0096] A mechanical property prediction module 205, configured to perform finite element simulation analysis of an anisotropic mechanical behavior casting with porosity characteristics on a target die-cast component based on the finite element simulation mesh model with porosity characteristics and the mechanical property parameter card of the material with porosity, and obtain the mechanical properties of materials at different parts of the target die-cast component during the die-casting process.

[0097] This application predicts common pore defects in high-pressure die-casting and maps them into the finite element model for mechanical property prediction, can predict the influence of porosity on the mechanical properties of components, and provides an idea for solving the research on the mechanical properties of large high-pressure die-castings.

[0098] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 14As shown in the figure. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the finite element model of the target die-cast part. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a method for predicting the mechanical properties of high-pressure die-cast parts.

[0099] Those skilled in the art can understand that Figure 14 the structure shown in the figure is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, it implements the steps in the above method embodiments.

[0100] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0101] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0102] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0103] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random-access memories (ReRAMs), magnetoresistive random-access memories (MRAMs), ferroelectric random-access memories (FRAMs), phase change memories (PCMs), graphene memories, etc. Volatile memories can include random-access memories (RAMs) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random-access memory (SRAM) or dynamic random-access memory (DRAM), etc.

[0104] The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchains, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logics, etc., without limitation.

[0105] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0106] Specific examples are used in this article to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for predicting mechanical properties of high pressure die casting parts, characterized in that: The method for predicting the mechanical properties of high pressure die casting parts comprises: Constructing a finite element model of the target die-casting component, and using the finite element model to perform mold flow simulation analysis to obtain die-casting simulation post-processing result data; the die-casting simulation post-processing result data includes: porosity simulation results; Extracting a finite element model data file and a porosity result data file based on the die casting simulation post-processing result data, and using Abaqus software to establish a corresponding model file submitted for solution calculation, and constructing a finite element mesh model for receiving porosity data based on the model file submitted for solution calculation; Performing porosity data mapping based on the finite element model data file, the porosity result data file and a finite element mesh model for receiving porosity data, and constructing a finite element simulation mesh model with porosity characteristics; A representative volume element model containing all the internal pore features of the target die-casting component is established, and the nonlinear porous composite material with the representative volume element model is homogenized based on the mean field homogenization theory method to obtain the mechanical property parameter card of the porous material; Based on the finite element simulation mesh model with porosity characteristics and the mechanical property parameter card of the porosity material, the finite element simulation analysis of the anisotropic mechanical behavior casting with porosity characteristics is carried out on the target die-casting component to obtain the mechanical properties of the materials in different parts of the target die-casting component during the die-casting process.

2. The method for predicting mechanical properties of high pressure die casting parts according to claim 1, characterized in that: Construct a finite element model of the target die-casting component, including: UG 10.0 software is used to perform geometric modeling on the target die-casting component to obtain a three-dimensional casting geometric model; Based on the three-dimensional casting geometric model, a mold geometric model is established using Procast software; Performing finite element mesh division on the three-dimensional casting geometric model and the mold geometric model to obtain a casting mesh model and a mold mesh model; Procast software is used to set parameters of the casting mesh model and the mold mesh model to obtain the finite element model.

3. The method for predicting mechanical properties of high pressure die casting parts according to claim 1, characterized in that: Extracting a finite element model data file and a porosity result data file based on the die casting simulation post-processing result data specifically includes: Exporting a casting mesh model corresponding to the porosity simulation result in a first data format from a post-processing module of the Procast software to obtain a finite element model data file; The porosity simulation results are exported in the second data format from the post-processing module of the Procast software to obtain a porosity result data file.

4. The method for predicting mechanical properties of high pressure die casting parts according to claim 1, characterized in that: Porosity data mapping is performed based on the finite element model data file, the porosity result data file and a finite element mesh model for receiving porosity data to construct a finite element simulation mesh model with porosity characteristics, specifically including: Loading the finite element model data file and the porosity result data file in the Donormesh option of Digimat-MAP software to obtain a mapping data grid; Load the model file submitted for solution calculation exported from the finite element mesh model for receiving porosity data in the Receiving mesh option of Digimat-MAP software to obtain the receiving data mesh; Using the spatial position overlap function in the Digimat software, the mapping data grid and the receiving data grid are overlapped in space; The overlapped mapping data grid and receiving data grid are used to perform porosity data mapping, and a finite element simulation grid model with porosity characteristics is obtained.

5. The method for predicting mechanical properties of high pressure die casting parts according to claim 1, characterized in that: A representative volume element model is created that includes all features of the internal porosity of the target die-cast part, including: The JmatPro software is used to measure the mechanical properties parameters of the target die-casting parts to obtain the material attribute parameters and mechanical properties parameters of the target die-casting parts; X-ray tomography is used to reconstruct the internal pores of the target die-casting component and obtain the pore volume fraction; Based on the material property parameters, the mechanical performance parameters and the pore volume fraction, a representative volume element model containing all the internal pore features of the target die-casting component is calculated by using a uniaxial tensile loading method.

6. The method for predicting mechanical properties of high pressure die casting parts according to claim 1, characterized in that: Based on the mean field homogenization theory method, the nonlinear porous composite material with a representative volume element model is homogenized to obtain the mechanical properties parameter card of the porosity material, including: The strain of the material containing the second phase is obtained by multiplying the strain concentration tensor with the strain of the matrix; The strain value of the nonlinear porous composite material having a representative volume element model is calculated according to the strain of the second phase material, the volume fraction of the second phase material, the strain of the matrix and the volume fraction of the matrix; Based on the strain value of the nonlinear porous composite material with a representative volume element model, the mechanical property parameter card of the porous material is determined by using Digimat software; the mechanical property parameter card includes: Young's modulus and Poisson's ratio.

7. The method for predicting mechanical properties of high pressure die casting parts according to claim 1, characterized in that: Based on the finite element simulation mesh model with porosity characteristics and the mechanical property parameter card of the porosity material, the finite element simulation analysis of the anisotropic mechanical behavior casting with porosity characteristics of the target die-casting component is carried out to obtain the mechanical properties of the materials in different parts of the target die-casting component during the die-casting process, including: Generate material description file based on mechanical property parameter card of porosity material; Export mapping data files from finite element simulation mesh models with porosity features; Using Digimat-CAE software to load the material description file and the mapping data file to pre-calculate material properties and obtain pre-calculation results; Determine an interface interaction file according to the pre-calculation result, and use the interface interaction file to modify the material properties of the model file submitted for solution calculation in Abaqus software; Configure the environment variables of the model file submitted for solution calculation after the material properties are modified in the Abaqus software, submit the calculation using the command prompt based on the environment variables, and obtain the post-processing result file; The post-processing result file is imported into the post-processing module of Abaqus software to obtain the mechanical properties of materials at different positions of the target die-casting component during the die-casting process.

8. A device for predicting mechanical properties of high pressure die casting parts, characterized in that: The high pressure die casting component mechanical property prediction device comprises: A mold flow simulation module is used to construct a finite element model of a target die-casting component, and use the finite element model to perform mold flow simulation analysis to obtain die-casting simulation post-processing result data; the die-casting simulation post-processing result data includes: porosity simulation results; A finite element mesh model construction module is used to extract a finite element model data file and a porosity result data file based on the die casting simulation post-processing result data, and use Abaqus software to establish a corresponding model file submitted for solution calculation, and construct a finite element mesh model for receiving porosity data based on the model file submitted for solution calculation; A finite element simulation mesh model construction module is used to perform porosity data mapping based on the finite element model data file, the porosity result data file and the finite element mesh model for receiving porosity data, and to construct a finite element simulation mesh model with porosity characteristics; The representative volume element construction and homogenization module is used to establish a representative volume element model containing all the internal pore characteristics of the target die-casting component, and homogenize the nonlinear porous composite material with the representative volume element model based on the mean field homogenization theory method to obtain the mechanical property parameter card of the porous material; The mechanical properties prediction module is used to perform finite element simulation analysis of anisotropic mechanical behavior castings with porosity characteristics on the target die-casting parts based on the finite element simulation grid model with porosity characteristics and the mechanical properties parameter card with porosity materials, so as to obtain the mechanical properties of materials in different parts of the target die-casting parts during the die-casting process.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for predicting mechanical properties of high-pressure die-casting components according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for predicting the mechanical properties of high-pressure die-casting components according to any one of claims 1 to 7 is implemented.

Images