Casting collaborative development method, device, equipment, medium and product

By using multi-gate mold flow analysis and strength analysis to optimize the three-dimensional structural model during casting product development, and using agent models to verify process parameters, the problem of long development cycle of casting products is solved, and a faster and more efficient development process is achieved.

CN119577993APending Publication Date: 2025-03-07CHINA AUTOMOTIVE TECH & RES CENT CO LTD
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Patent Information

Application Number
CN202411734570.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-29
Publication Date
2025-03-07

AI Technical Summary

Technical Problem

The development cycle of casting products is long. In the existing technology, process manufacturing engineers will participate in process analysis after the casting product design is completed, resulting in a large number of structures or characteristics that do not meet the requirements of the manufacturing process, which requires overturning the design and re-optimization.

Method used

A method of co-development of castings is proposed. By obtaining the initial three-dimensional structural model of the target casting, multi-gate mold flow analysis and strength analysis, the three-dimensional structural model is optimized until it meets the preset process standards, and the agent model is trained using the mold flow analysis results, and input it into the rapid simulation tool to verify the rationality of the process parameters.

Benefits of technology

Reduces repeated workload, shortens the development cycle of casting products, avoids the overturning of design after opening the mold, and improves the verification efficiency of process parameters.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention discloses a casting collaborative development method and device, equipment, a medium and a product, and relates to the technical field of die-casting technological process optimization. Optimization of a three-dimensional structure model of a target casting is put in the product design and development process; in the optimization process, staff of a plurality of posts such as a casting product design engineer and a mold process engineer participate together, and compared with a development process in which the mold process engineer performs castability process analysis after product data is locked in the prior art process, the development process is shortened. In the product design and development process, the casting product is subjected to mold flow analysis and mold opening process analysis, improvement measures are formed to adjust and optimize the structure of the casting product, and the situation that the design of the casting product is overturned after mold opening is avoided. Afterwards, the agent model is trained according to the mold flow analysis result of the pouring and discharging and mold structure, and the agent model is input into a rapid simulation tool, so that a field process engineer adjusts and rapidly verifies the reasonability of process parameters according to production needs.
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Description

Technical Field

[0001] The present application relates to the technical field of die-casting process optimization, and in particular to a casting collaborative development method, device, equipment, medium and product. Background Art

[0002] The development cycle of casting products is long: Often, after the casting product data is determined, the process manufacturing engineer at the time of mold opening will participate in the process analysis of the casting product, and propose a large number of structures or features in the casting product that do not meet the manufacturing process requirements. At this time, it is necessary to overturn the previous design of the casting product, redesign it or optimize it based on the original casting product design, and the surrounding related product parts of the casting product also need to be modified. It can be seen that the amount of repetitive work in the development cycle of casting products is large and the development cycle is long. Summary of the invention

[0003] The purpose of this application is to provide a casting collaborative development method, device, equipment, medium and product.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] In a first aspect, the present application provides a casting collaborative development method, comprising:

[0006] Acquire an initial three-dimensional structural model of the target casting, and determine the initial three-dimensional structural model as the current three-dimensional structural model;

[0007] Importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0008] Inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result;

[0009] Acquire an optimized three-dimensional structural model and a mold process analysis result of the optimized three-dimensional structural model; the optimized three-dimensional structural model is obtained by optimizing the current three-dimensional structural model according to the multi-gate mold flow analysis result and the first strength analysis result;

[0010] Determining whether the optimized three-dimensional structural model meets the preset process standards;

[0011] If the optimized three-dimensional structure model does not meet the preset process standard, the optimized three-dimensional structure model is determined as the current three-dimensional structure model, and the process returns to the step of importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0012] If the optimized three-dimensional structural model meets the preset process standard, a filling pouring row three-dimensional model and a mold structure three-dimensional model designed according to the optimized three-dimensional structural model are obtained;

[0013] Inputting the filling runner three-dimensional model and the mold structure three-dimensional model into the mold flow analysis tool to respectively perform gate flow simulation analysis and mold thermal balance analysis to obtain mold flow analysis results;

[0014] The mold flow analysis results are used to train a proxy model, and the proxy model is input into a rapid simulation tool to obtain a qualified simulation casting that meets the process requirements.

[0015] Optionally, the multi-gate mold flow analysis results include: shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results;

[0016] The importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result includes:

[0017] Importing the current three-dimensional structure model into a mold flow analysis tool to predict shrinkage distribution, defect volume morphology and defect size of the target casting, and obtaining shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results;

[0018] The step of inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result includes:

[0019] The shrinkage cavity distribution prediction result, defect volume morphology prediction result and defect size prediction result are input into a strength analysis tool for strength analysis to obtain the first strength analysis result corresponding to the current three-dimensional structure model.

[0020] Optionally, the process of designing the three-dimensional model of the filling pouring row according to the optimized three-dimensional structural model includes:

[0021] Inputting the optimized three-dimensional structural model into the mold flow analysis tool to simulate the metal liquid filling molding process and the solidification cooling process to obtain simulation results;

[0022] Based on the simulation results, a three-dimensional model of the filling pouring row is designed.

[0023] Optionally, before inputting the filling runner 3D model and the mold structure 3D model into the mold flow analysis tool for gate flow simulation analysis and mold thermal balance analysis respectively, the method further includes:

[0024] Inputting the mold structure three-dimensional model into the mold flow analysis tool to simulate the actual production conditions on site to obtain defect information corresponding to the optimized three-dimensional structure model;

[0025] Inputting the defect information into the strength analysis tool to perform strength analysis to obtain an optimized second strength analysis result;

[0026] According to the second strength analysis result, it is judged whether the strength of the optimized three-dimensional structure model meets the preset strength requirement. If so, the filling runner three-dimensional model and the mold structure three-dimensional model are input into the mold flow analysis tool to perform gate flow simulation analysis and mold thermal balance analysis respectively.

[0027] Optionally, the step of training a proxy model using the mold flow analysis result includes:

[0028] The mold flow analysis results are input into a neural network algorithm for training to obtain the proxy model.

[0029] Optionally, the step of inputting the proxy model into a rapid simulation tool to obtain a qualified simulated casting that meets the process requirements includes:

[0030] The proxy model is input into a rapid simulation tool for rapid simulation analysis, and the injection process parameters and temperature control process parameters of the three-dimensional structural model are verified and adjusted to obtain a three-dimensional structural model of the qualified simulated casting including the injection process parameters and temperature control process parameters that meet the process requirements.

[0031] In a second aspect, the present application provides a casting collaborative development device, comprising:

[0032] An acquisition unit, used for acquiring an initial three-dimensional structural model of a target casting, and determining the initial three-dimensional structural model as a current three-dimensional structural model;

[0033] Importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0034] Inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result;

[0035] Acquire an optimized three-dimensional structural model and a mold process analysis result of the optimized three-dimensional structural model; the optimized three-dimensional structural model is obtained by optimizing the current three-dimensional structural model according to the multi-gate mold flow analysis result and the first strength analysis result;

[0036] A development module is used to determine whether the optimized three-dimensional structure model meets the preset process standards;

[0037] If the optimized three-dimensional structure model does not meet the preset process standard, the optimized three-dimensional structure model is determined as the current three-dimensional structure model, and the process returns to the step of importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0038] If the optimized three-dimensional structural model meets the preset process standard, a filling runner three-dimensional model and a mold structure three-dimensional model designed according to the optimized three-dimensional structural model are obtained;

[0039] Inputting the filling runner three-dimensional model and the mold structure three-dimensional model into the mold flow analysis tool to respectively perform gate flow simulation analysis and mold thermal balance analysis to obtain mold flow analysis results;

[0040] The mold flow analysis results are used to train a proxy model, and the proxy model is input into a rapid simulation tool to obtain a qualified simulation casting that meets the process requirements.

[0041] Acquire an initial three-dimensional structural model of the target casting, and determine the initial three-dimensional structural model as the current three-dimensional structural model;

[0042] Importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0043] Inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result;

[0044] Acquire an optimized three-dimensional structural model and a mold process analysis result of the optimized three-dimensional structural model; the optimized three-dimensional structural model is obtained by optimizing the current three-dimensional structural model according to the multi-gate mold flow analysis result and the first strength analysis result;

[0045] Determining whether the optimized three-dimensional structural model meets the preset process standards;

[0046] If the optimized three-dimensional structure model does not meet the preset process standard, the optimized three-dimensional structure model is determined as the current three-dimensional structure model, and the process returns to the step of importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0047] If the optimized three-dimensional structural model meets the preset process standard, a filling runner three-dimensional model and a mold structure three-dimensional model designed according to the optimized three-dimensional structural model are obtained;

[0048] Inputting the filling runner three-dimensional model and the mold structure three-dimensional model into the mold flow analysis tool to respectively perform gate flow simulation analysis and mold thermal balance analysis to obtain mold flow analysis results;

[0049] The mold flow analysis results are used to train a proxy model, and the proxy model is input into a rapid simulation tool to obtain a qualified simulation casting that meets the process requirements.

[0050] Optionally, the multi-gate mold flow analysis results include: shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results;

[0051] The acquisition module is further used for:

[0052] Importing the current three-dimensional structure model into a mold flow analysis tool to predict shrinkage distribution, defect volume morphology and defect size of the target casting, and obtaining shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results;

[0053] The shrinkage cavity distribution prediction result, defect volume morphology prediction result and defect size prediction result are input into a strength analysis tool for strength analysis to obtain the first strength analysis result corresponding to the current three-dimensional structure model.

[0054] Optionally, the development module is further used to:

[0055] Inputting the optimized three-dimensional structural model into the mold flow analysis tool to simulate the metal liquid filling molding process and the solidification cooling process to obtain simulation results;

[0056] Based on the simulation results, a three-dimensional model of the filling pouring row is designed.

[0057] Optionally, the development module is further used to:

[0058] Inputting the mold structure three-dimensional model into the mold flow analysis tool to simulate the actual production conditions on site to obtain defect information corresponding to the optimized three-dimensional structure model;

[0059] Inputting the defect information into the strength analysis tool to perform strength analysis to obtain an optimized second strength analysis result;

[0060] According to the second strength analysis result, it is judged whether the strength of the optimized three-dimensional structure model meets the preset strength requirement. If so, the filling runner three-dimensional model and the mold structure three-dimensional model are input into the mold flow analysis tool to perform gate flow simulation analysis and mold thermal balance analysis respectively.

[0061] Optionally, the development module is further used to:

[0062] The mold flow analysis results are input into a neural network algorithm for training to obtain the proxy model.

[0063] Optionally, the development module is further used to:

[0064] The proxy model is input into a rapid simulation tool for rapid simulation analysis, and the injection process parameters and temperature control process parameters of the three-dimensional structural model are verified and adjusted to obtain a three-dimensional structural model of the qualified simulated casting including the injection process parameters and temperature control process parameters that meet the process requirements.

[0065] In a third aspect, the present application provides 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 steps of any one of the casting collaborative development methods described above.

[0066] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the casting collaborative development methods described above.

[0067] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any one of the casting collaborative development methods described above.

[0068] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0069] The present application provides a casting collaborative development method, device, equipment, medium and product, which places the main process optimization process of the three-dimensional structural model of the target casting in the product design and development process, and in the optimization process, there are multiple positions such as casting product design engineers and mold process engineers to participate together, reducing and shortening the development cost and analysis cycle of the casting castability process analysis conducted by the mold process engineer after the product data is locked in the existing technical process. During the product design and development process, the casting is subjected to mold flow analysis and casting mold opening process analysis, and improvement measures are formed to adjust and optimize the product structure, avoiding the situation of overturning the casting product design after the mold is opened. Afterwards, the proxy model is trained according to the mold flow analysis results of the pouring and mold structure, and the proxy model is input into the rapid simulation tool for the on-site process engineer to adjust and quickly verify the rationality of the process parameters according to production needs. The present application adopts a rapid simulation tool, which can quickly verify the process parameters of the final three-dimensional structure model and accelerate the development cycle of the casting product. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0071] Figure 1 A schematic diagram of a process flow of a casting collaborative development method provided in one embodiment of the present application;

[0072] Figure 2 Schematic diagram of the casting development tool provided for this application;

[0073] Figure 3 An example flow chart of the casting development system provided for this application;

[0074] Figure 4 A schematic diagram of functional modules of a casting collaborative development device provided in one embodiment of the present application;

[0075] Figure 5 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0076] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0077] Nowadays, the development process of casting products is mostly a one-way process. First, the casting product designer designs the 3D structural model of the casting product; then, the 3D model of the casting product is sent to the supplier for die-casting manufacturing. After the product data is locked and the mold is ready, the process manufacturing engineer will participate in the process analysis of the casting product, evaluate whether the 3D structural model of the casting product meets the manufacturing process, and give mold opening suggestions and subsequent machine process parameter verification suggestions. A large number of structures or features that do not meet the manufacturing process requirements may be proposed. At this time, all previous designs for the casting product need to be overturned, and the design must be redesigned or optimized based on the original casting product design. The surrounding related product components of the casting product must also be modified, resulting in a large amount of repeated work and extending the entire casting product development cycle.

[0078] It can be seen that the entire development process of casting products takes a long time, and each type of work is relatively fragmented and completes the design and analysis tasks independently. This will result in the engineers in the later stage being unable to effectively participate in the early stage of casting product design and development, resulting in a large amount of repeated work.

[0079] In order to solve the above problems, this application proposes a casting collaborative development method, device, equipment, medium and product: in the casting product development process, various types of work collaborate to complete the design, analysis and optimization of the three-dimensional structural model of the casting product to obtain qualified casting products.

[0080] Alternatively, see Figure 1 , a flow chart of a casting collaborative development method provided in this application.

[0081] like Figure 1 As shown in the figure, the casting collaborative development method includes the following steps:

[0082] Step 101: Acquire an initial three-dimensional structural model of a target casting, and determine the initial three-dimensional structural model as a current three-dimensional structural model.

[0083] The target casting may be an integrated casting. Exemplarily, the integrated casting may be an aluminum-magnesium alloy integrated casting that is now widely used in automotive parts. Traditional automotive parts are steel stampings, which have high strength and good toughness and can withstand large loads and impacts. However, steel stampings are heavy. In response to the development needs of lightweight automotive parts, more and more automotive parts use aluminum-magnesium alloy castings, which are light in weight and have high strength, rigidity, good casting performance and vibration reduction functions. At the same time, they also have good thermal conductivity and electromagnetic shielding functions. The use of aluminum-magnesium alloy castings, especially integrated aluminum-magnesium alloy castings, has greatly simplified the vehicle body structure and shortened the vehicle's production and manufacturing cycle. However, aluminum-magnesium alloy integrated casting products also have the problem of a long entire development cycle as mentioned above.

[0084] The initial three-dimensional structural model of the target casting is obtained from a three-dimensional modeling tool. The three-dimensional modeling tool has an intuitive user interface and powerful modeling functions. Casting product designers can quickly create complex three-dimensional structural models in the tool. In addition, the three-dimensional modeling tool allows casting product designers to finely edit and optimize the three-dimensional structural model to create a higher quality three-dimensional structural model. The functions of the three-dimensional modeling tool include product design function, pouring design function, mold design function and assembly design function. In this application, the initial three-dimensional structural model is designed by the casting product designer in the three-dimensional modeling tool according to the functional requirements of the casting product.

[0085] Optionally, an initial three-dimensional structure model designed by a casting product designer is obtained from a three-dimensional modeling tool.

[0086] The initial three-dimensional structural model can also be called the initial version of the casting three-dimensional structural model. This model does not pursue the details of the casting product, but only needs to design the basic features and main outlines of the casting product.

[0087] It should also be noted that determining the initial three-dimensional structure model as the current three-dimensional structure model can be understood as: taking the initial three-dimensional structure model as the next processing object.

[0088] Step 102: Import the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result.

[0089] The mold flow analysis tool is mainly used for simulation analysis of casting filling molding and cooling solidification process as well as mold temperature, including multi-gate analysis, gate analysis and mold thermal balance analysis.

[0090] Among them, the three functions correspond to three different usage modes: the multi-gate analysis function of the mold flow analysis tool is generally used when there is only a three-dimensional structure model of the product, the gate filling analysis function is generally used when there is a three-dimensional model of the runner, and the mold thermal balance analysis is generally used when there is a three-dimensional mold structure model and a water channel model.

[0091] Since only the three-dimensional structure model of the casting product is obtained in this application, the first mode of the mold flow analysis tool is used to perform multi-gate mold flow analysis on the current three-dimensional structure model. Specifically, using the mold flow analysis tool to perform mold flow analysis on the current three-dimensional structure model can reduce the analysis requirements and workload of the casting product designer.

[0092] It should be noted that the multi-gate mold flow analysis is mainly used to predict the shrinkage distribution, defect volume morphology and defect size of the current three-dimensional structure model of the target casting. Therefore, the multi-gate mold flow analysis results include the shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results.

[0093] Optionally, the current three-dimensional structure model is input into a mold flow analysis tool to predict shrinkage distribution, defect volume morphology and defect size of the current three-dimensional structure model of the target casting, and corresponding shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results are obtained.

[0094] In this application, the multi-gate mold flow analysis function in the mold flow analysis tool is used to quickly verify the product structure problems of the three-dimensional structural model of the casting product, so as to achieve the purpose of quickly optimizing the product structure.

[0095] Step 103: input the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result.

[0096] Strength analysis tools are mainly used for strength verification of casting products. In the prior art, the designed three-dimensional structural model of the casting product is often input into the strength analysis tool for strength verification of the casting product. However, the designed three-dimensional structural model of the casting product is often perfect and has no defects, and the obtained strength analysis results are generally fine. Obviously, this strength analysis result does not match the actual manufactured casting product. There will definitely be defects in the casting product during the actual manufacturing process. The metal liquid filling temperature of each part is different, and the size and shape of the shrinkage cavity defects are naturally different. The existence of these defects is bound to affect the structural strength of the manufactured casting product.

[0097] In order to solve this problem, in this application, the shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results obtained from the multi-gate mold flow analysis of the current three-dimensional structure model are input into the strength analysis tool for strength analysis to obtain the strength analysis results. The strength analysis results include the weak strength parts and process defect parts of the current three-dimensional structure model.

[0098] Optionally, the shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results are input into a strength analysis tool for strength analysis to obtain the strength weak points and process defect points of the current three-dimensional structure model.

[0099] Since then, after the multi-gate mold flow analysis by the mold flow analysis tool and the strength analysis by the strength analysis tool, the first round of optimization and improvement suggestions and measures for the current three-dimensional structural model were formed based on the multi-gate mold flow analysis results and the strength analysis results.

[0100] The first round of optimization and improvement suggestions and measures will be fed back to the casting product designer, who will adjust and optimize the weak strength parts and molding defect parts of the current three-dimensional structural model output by the mold flow analysis tool and the strength analysis tool, and optimize the defects in the three-dimensional structural model of the casting product during the development and design stage to obtain an optimized three-dimensional structural model, thereby reducing the probability of producing defective casting products.

[0101] It should be noted that in the prior art, in the early stage of casting product design, the mold flow analysis tools and strength analysis tools are generally not used to perform the above-mentioned preliminary evaluation and verification process on the initial three-dimensional structure model from a process perspective. The reasons are as follows:

[0102] In the early stage of casting product development, casting product designers and other developers believe that process analysis is the work of downstream suppliers. Therefore, there is no process analysis step in the existing development process. In addition, casting product designers may not have the ability to perform process analysis and the knowledge to use process analysis tools. However, it cannot be ignored that a three-dimensional structural model that does not meet the process characteristics will seriously increase production costs and product defect risks.

[0103] Step 104, obtaining an optimized three-dimensional structural model and a mold process analysis result of the optimized three-dimensional structural model; the optimized three-dimensional structural model is obtained by optimizing the current three-dimensional structural model based on the multi-gate mold flow analysis result and the first strength analysis result.

[0104] Optionally, an optimized three-dimensional structural model optimized and adjusted by the casting product designer based on the first round of optimization improvement suggestions and measures is obtained from the three-dimensional modeling tool.

[0105] Specifically, the casting product designer optimizes and adjusts the current three-dimensional structural model based on the shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results output by the mold flow analysis tool, as well as the weak strength locations and molding defect locations output by the strength analysis tool, thereby obtaining an optimized three-dimensional structural model.

[0106] After obtaining the optimized three-dimensional structural model, the mold process engineer will conduct mold process analysis on the optimized three-dimensional structural model. The mold process analysis mainly evaluates the rationality of the model structure process when the casting product is molded.

[0107] Step 105: determine whether the optimized three-dimensional structure model meets the preset process standards.

[0108] Afterwards, it is determined whether the optimized three-dimensional structural model meets the preset process standards. The preset process standards are mainly determined jointly by the casting product designer and the mold process engineer.

[0109] The three-dimensional structural model of the casting product under the preset process standard is relatively complete. It is adjusted and optimized from the initial three-dimensional structural model, that is, the product with only a rough structure and outline, to a three-dimensional structural model with strengthened structures such as ribs, the size and dimensions of the ribs, and complete design details.

[0110] Step 106: If the optimized three-dimensional structure model does not meet the preset process standard, the optimized three-dimensional structure model is determined as the current three-dimensional structure model, and the process returns to the step of importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result.

[0111] Optionally, when the locally optimized three-dimensional structural model does not meet the preset process standards, the locally optimized three-dimensional structural model is used as the current three-dimensional structural model, that is, the locally optimized three-dimensional structural model is used as the basis for the next model optimization, and the optimization design process of the three-dimensional structural model of the casting product from step 102 to step 106 is looped until a three-dimensional structural model that meets the preset process standards is obtained.

[0112] Step 107: If the optimized three-dimensional structural model meets the preset process standard, a filling runner three-dimensional model and a mold structure three-dimensional model designed based on the optimized three-dimensional structural model are obtained.

[0113] After multiple rounds of optimization and adjustment, the optimized 3D structural model that meets the preset process standards will be obtained. The optimized 3D structural model will be combined to design the filling pouring 3D model and the mold structure 3D model. The filling pouring 3D model and the mold structure 3D model are designed by the mold process engineer.

[0114] The three-dimensional model of the filling pouring system includes the pouring system, including a complete molten metal feeding scheme, a runner system and a slag bag system.

[0115] It should be noted that before executing the next step, the three-dimensional model of the filling runner and the three-dimensional model of the mold structure need to be input into the mold flow analysis tool and the strength analysis tool in sequence for model optimization.

[0116] Specifically, the three-dimensional model of the mold structure is input into the mold flow analysis tool to simulate the actual production conditions on site, and the defect information corresponding to the optimized three-dimensional structure model is obtained. The defect information is input into the strength analysis tool for strength analysis to obtain the optimized second strength analysis result. Based on the second strength analysis result, it is determined whether the strength of the optimized three-dimensional structure model meets the preset strength requirements. If so, the next step is executed.

[0117] The mold flow analysis tool simulates the actual filling and molding of the molten metal and the solidification and cooling process, and optimizes the filling pouring 3D model based on the simulation results. In addition, the temperature control system in the mold structure 3D model, such as the oil pipeline and water pipeline, can also be imported into the mold flow analysis tool to simulate the working conditions of the actual production state on site, and then reproduce the location and size of the defects that may actually appear in the casting product, and obtain the defect distribution and defect volume size. Then, the defect distribution and defect volume size are input into the strength analysis tool to further check the strength of the mold structure 3D model of the casting product.

[0118] Optionally, an adjusted and optimized filling pouring row three-dimensional model and a mold structure three-dimensional model are obtained.

[0119] Step 108: Input the filling runner 3D model and the mold structure 3D model into the mold flow analysis tool to perform gate flow simulation analysis and mold thermal balance analysis respectively to obtain mold flow analysis results.

[0120] Afterwards, the optimized and adjusted filling pouring row 3D model and the mold structure 3D model are input into the mold flow analysis tool for gate flow simulation analysis and mold thermal balance analysis respectively to obtain the mold flow analysis results.

[0121] Step 109: Using the mold flow analysis results to train a proxy model, inputting the proxy model into a rapid simulation tool to obtain a qualified simulation casting that meets the process requirements.

[0122] It should be noted that the proxy model can be obtained by training based on a neural network algorithm.

[0123] Optionally, the proxy model is input into a rapid simulation tool for rapid simulation analysis, and an on-site process engineer verifies and adjusts the injection molding process parameters and temperature control process parameters of the three-dimensional structure model to obtain a reasonable process parameter package including injection molding process parameters and temperature control process parameters that meet process requirements.

[0124] Specifically, on-site process engineers can adjust the injection process parameters and temperature control process parameters in the rapid simulation tool according to process requirements to verify the filling and molding effect of the casting product, so as to quickly view the impact of the optimized temperature control parameters on the mold temperature and defects of the casting product, and generate qualified simulated castings that meet the process requirements and the best process control plan.

[0125] The rapid simulation tool can generate the adjusted simulation results of the process control scheme within 1 second, and quickly output the injection process parameters and temperature control process parameters that meet the casting quality requirements and the molding process requirements.

[0126] In summary, the casting collaborative development method, device, equipment, medium and product provided by the present application adopt the multi-gate mold flow analysis function in the mold flow analysis tool in the early stage of casting product design, and the multi-gate mold flow analysis results output by the mold flow analysis tool are input into the strength analysis tool for strength analysis to obtain strength analysis results, and the initial three-dimensional structure model is optimized according to the multi-gate mold flow analysis results and the strength analysis results to obtain the optimized three-dimensional structure model and the mold process analysis results of the optimized three-dimensional structure model, and the analysis process of the optimized three-dimensional structure model and the steps of obtaining the optimized three-dimensional structure model are cyclically executed until a three-dimensional structure model that meets the preset process standards is obtained after multiple rounds of optimization. The present application puts the optimization and adjustment process of the three-dimensional structure model of the target casting in the development process, and the casting product designer and the mold process engineer participate in the optimization process. There is no need for the mold process engineer to perform process analysis when opening the mold as in the prior art, which avoids the situation of overturning the casting product design after opening the mold, and directly puts the three-dimensional structure optimization process of the casting product in the casting product design process, which reduces the repetitive workload and shortens the development cycle of the casting product. Then, the filling pouring 3D model and the mold structure 3D model are obtained, and mold flow analysis is performed on the two models to obtain mold flow analysis results. The proxy model is trained based on the mold flow analysis results, and the proxy model is input into the rapid simulation tool. The on-site process engineer adjusts the process parameters of the final 3D structure model according to the process requirements to obtain a qualified simulated casting that meets the process requirements. This application uses a rapid simulation tool to quickly verify the rationality of the process parameters of the final 3D structure model, which speeds up the development cycle of casting products.

[0127] Alternatively, see Figure 2 , schematic diagram of the casting development tool provided in this application.

[0128] like Figure 2 As shown, the three-dimensional casting development tools used in this application include three-dimensional modeling tools, strength analysis tools, mold flow analysis tools and rapid simulation tools.

[0129] Among them, the 3D modeling tools mainly include product design, pouring design, mold design, assembly analysis and other functions; the strength analysis tool can perform product strength verification; the mold flow analysis tool includes multi-gate analysis, gate analysis, mold thermal balance analysis and other functions; the rapid simulation tool can adjust the injection process parameters and temperature control process parameters, and output the production process parameters of the casting products that meet the molding process standards.

[0130] In this application, the above tools are used to work together to complete the collaborative development of casting products, which greatly shortens the development cycle of casting products and reduces the trial and error costs of casting products on site.

[0131] Alternatively, see Figure 3 , a flow chart of an example of a casting system development method provided in this application.

[0132] like Figure 3 As shown in the figure, the casting development process first designs a preliminary product design structure, then performs structural strength analysis, multi-gate flow analysis and mold process analysis on the preliminary product design structure to obtain product structure optimization suggestions. The casting product designer performs multiple rounds of design optimization on the product structure until the product structure meets the preset process standards. After that, combined with the product structure that meets the preset process standards, the corresponding mold structure and pouring structure are designed and generated. Then, the mold structure and pouring structure are simulated and analyzed for flow and mold thermal balance to obtain simulation analysis results. The proxy model is trained based on the simulation analysis results, and finally the proxy model is input into the rapid simulation tool for on-site process engineers to optimize and adjust according to the generation needs and quickly verify the rationality of on-site injection process parameters and on-site temperature control process parameters.

[0133] Based on the same inventive concept, the embodiment of the present application also provides a casting collaborative development device for implementing the casting collaborative development method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more casting collaborative development device embodiments provided below can refer to the limitations of the casting collaborative development method above, and will not be repeated here.

[0134] In an exemplary embodiment, Figure 4 As shown, a casting collaborative development device 20 is provided, comprising:

[0135] An acquisition unit, used for acquiring an initial three-dimensional structural model of a target casting, and determining the initial three-dimensional structural model as a current three-dimensional structural model;

[0136] Importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0137] Inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result;

[0138] Acquire an optimized three-dimensional structural model and a mold process analysis result of the optimized three-dimensional structural model; the optimized three-dimensional structural model is obtained by optimizing the current three-dimensional structural model according to the multi-gate mold flow analysis result and the first strength analysis result;

[0139] A development module is used to determine whether the optimized three-dimensional structure model meets the preset process standards;

[0140] If the optimized three-dimensional structure model does not meet the preset process standard, the optimized three-dimensional structure model is determined as the current three-dimensional structure model, and the process returns to the step of importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0141] If the optimized three-dimensional structural model meets the preset process standard, a filling runner three-dimensional model and a mold structure three-dimensional model designed according to the optimized three-dimensional structural model are obtained;

[0142] Inputting the filling runner three-dimensional model and the mold structure three-dimensional model into the mold flow analysis tool to respectively perform gate flow simulation analysis and mold thermal balance analysis to obtain mold flow analysis results;

[0143] The mold flow analysis results are used to train a proxy model, and the proxy model is input into a rapid simulation tool to obtain a qualified simulation casting that meets the process requirements.

[0144] Acquire an initial three-dimensional structural model of the target casting, and determine the initial three-dimensional structural model as the current three-dimensional structural model;

[0145] Importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0146] Inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result;

[0147] Acquire an optimized three-dimensional structural model and a mold process analysis result of the optimized three-dimensional structural model; the optimized three-dimensional structural model is obtained by optimizing the current three-dimensional structural model according to the multi-gate mold flow analysis result and the first strength analysis result;

[0148] Determining whether the optimized three-dimensional structural model meets the preset process standards;

[0149] If the optimized three-dimensional structure model does not meet the preset process standard, the optimized three-dimensional structure model is determined as the current three-dimensional structure model, and the process returns to the step of importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result;

[0150] If the optimized three-dimensional structural model meets the preset process standard, a filling runner three-dimensional model and a mold structure three-dimensional model designed according to the optimized three-dimensional structural model are obtained;

[0151] Inputting the filling runner three-dimensional model and the mold structure three-dimensional model into the mold flow analysis tool to respectively perform gate flow simulation analysis and mold thermal balance analysis to obtain mold flow analysis results;

[0152] The mold flow analysis results are used to train a proxy model, and the proxy model is input into a rapid simulation tool to obtain a qualified simulation casting that meets the process requirements.

[0153] Optionally, the multi-gate mold flow analysis results include: shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results;

[0154] The acquisition module is further used for:

[0155] Importing the current three-dimensional structure model into a mold flow analysis tool to predict shrinkage distribution, defect volume morphology and defect size of the target casting, and obtaining shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results;

[0156] The shrinkage cavity distribution prediction result, defect volume morphology prediction result and defect size prediction result are input into a strength analysis tool for strength analysis to obtain the first strength analysis result corresponding to the current three-dimensional structure model.

[0157] Optionally, the development module is further used to:

[0158] Inputting the optimized three-dimensional structural model into the mold flow analysis tool to simulate the metal liquid filling molding process and the solidification cooling process to obtain simulation results;

[0159] Based on the simulation results, a three-dimensional model of the filling pouring row is designed.

[0160] Optionally, the development module is further used to:

[0161] Inputting the mold structure three-dimensional model into the mold flow analysis tool to simulate the actual production conditions on site to obtain defect information corresponding to the optimized three-dimensional structure model;

[0162] Inputting the defect information into the strength analysis tool to perform strength analysis to obtain an optimized second strength analysis result;

[0163] According to the second strength analysis result, it is judged whether the strength of the optimized three-dimensional structure model meets the preset strength requirement. If so, the filling runner three-dimensional model and the mold structure three-dimensional model are input into the mold flow analysis tool to perform gate flow simulation analysis and mold thermal balance analysis respectively.

[0164] Optionally, the development module is further used to:

[0165] The mold flow analysis results are input into a neural network algorithm for training to obtain the proxy model.

[0166] Optionally, the development module is further used to:

[0167] The proxy model is input into a rapid simulation tool for rapid simulation analysis, and the injection process parameters and temperature control process parameters of the three-dimensional structural model are verified and adjusted to obtain a three-dimensional structural model of the qualified simulated casting including the injection process parameters and temperature control process parameters that meet the process requirements.

[0168] The embodiment of the present application places the main process optimization process of the three-dimensional structure model of the target casting in the product design and development process, and in the optimization process, there are multiple positions such as casting product design engineers and mold process engineers to participate together, reducing and shortening the development cost and analysis cycle of the mold process engineer performing the casting castability process analysis after the product data is locked in the existing technical process. During the product design and development process, the casting is subjected to mold flow analysis and casting mold opening process analysis, and improvement measures are formed to adjust and optimize the product structure, avoiding the situation of overturning the casting product design after mold opening. Afterwards, the proxy model is trained according to the mold flow analysis results of the pouring and mold structure, and the proxy model is input into the rapid simulation tool for the on-site process engineer to adjust and quickly verify the rationality of the process parameters according to production needs. The present application adopts a rapid simulation tool, which can quickly verify the process parameters of the final three-dimensional structure model and accelerate the development cycle of the casting product.

[0169] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. 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. 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 casting collaborative development data. The input / output interface of the computer device is used to exchange information between the processor and an external device. 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, a casting collaborative development method is implemented.

[0170] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0171] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0172] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0173] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0174] 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 used 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 must comply with relevant regulations.

[0175] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0176] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0177] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0178] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A casting collaborative development method, characterized in that: include: Acquire an initial three-dimensional structural model of the target casting, and determine the initial three-dimensional structural model as the current three-dimensional structural model; Importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result; Inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result; Acquire an optimized three-dimensional structural model and a mold process analysis result of the optimized three-dimensional structural model; The optimized three-dimensional structural model is obtained by optimizing the current three-dimensional structural model according to the multi-gate mold flow analysis result and the first strength analysis result; Determining whether the optimized three-dimensional structural model meets the preset process standards; If the optimized three-dimensional structure model does not meet the preset process standard, the optimized three-dimensional structure model is determined as the current three-dimensional structure model, and the process returns to the step of importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result; If the optimized three-dimensional structural model meets the preset process standard, a filling pouring row three-dimensional model and a mold structure three-dimensional model designed according to the optimized three-dimensional structural model are obtained; Inputting the filling runner three-dimensional model and the mold structure three-dimensional model into the mold flow analysis tool to respectively perform gate flow simulation analysis and mold thermal balance analysis to obtain mold flow analysis results; The mold flow analysis results are used to train a proxy model, and the proxy model is input into a rapid simulation tool to obtain a qualified simulation casting that meets the process requirements.

2. The casting collaborative development method according to claim 1, characterized in that: The multi-gate mold flow analysis results include: shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results; The importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result includes: Importing the current three-dimensional structure model into a mold flow analysis tool to predict shrinkage distribution, defect volume morphology and defect size of the target casting, and obtaining shrinkage distribution prediction results, defect volume morphology prediction results and defect size prediction results; The step of inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result includes: The shrinkage cavity distribution prediction result, defect volume morphology prediction result and defect size prediction result are input into a strength analysis tool for strength analysis to obtain the first strength analysis result corresponding to the current three-dimensional structure model.

3. The casting collaborative development method according to claim 1, characterized in that: The process of designing the filling pouring row three-dimensional model based on the optimized three-dimensional structural model includes: Inputting the optimized three-dimensional structural model into the mold flow analysis tool to simulate the metal liquid filling molding process and the solidification cooling process to obtain simulation results; Based on the simulation results, a three-dimensional model of the filling pouring row is designed.

4. The casting collaborative development method according to claim 1, characterized in that: Before inputting the filling runner 3D model and the mold structure 3D model into the mold flow analysis tool to respectively perform gate flow simulation analysis and mold thermal balance analysis, the method further includes: Inputting the mold structure three-dimensional model into the mold flow analysis tool to simulate the actual production conditions on site to obtain defect information corresponding to the optimized three-dimensional structure model; Inputting the defect information into the strength analysis tool to perform strength analysis to obtain an optimized second strength analysis result; According to the second strength analysis result, it is judged whether the strength of the optimized three-dimensional structure model meets the preset strength requirement. If so, the filling runner three-dimensional model and the mold structure three-dimensional model are input into the mold flow analysis tool to perform gate flow simulation analysis and mold thermal balance analysis respectively.

5. The casting collaborative development method according to claim 1, characterized in that: The method of using the mold flow analysis result to train and obtain a proxy model includes: The mold flow analysis results are input into a neural network algorithm for training to obtain the proxy model.

6. The casting collaborative development method according to claim 1, characterized in that: The step of inputting the proxy model into a rapid simulation tool to obtain a qualified simulated casting that meets the process requirements includes: The proxy model is input into a rapid simulation tool for rapid simulation analysis, and the injection process parameters and temperature control process parameters of the three-dimensional structural model are verified and adjusted to obtain a three-dimensional structural model of the qualified simulated casting including the injection process parameters and temperature control process parameters that meet the process requirements.

7. A casting collaborative development device, characterized in that: include: An acquisition unit, used for acquiring an initial three-dimensional structural model of a target casting, and determining the initial three-dimensional structural model as a current three-dimensional structural model; Importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result; Inputting the multi-gate mold flow analysis result into a strength analysis tool to perform strength analysis to obtain a first strength analysis result; Acquire an optimized three-dimensional structural model and a mold process analysis result of the optimized three-dimensional structural model; The optimized three-dimensional structural model is obtained by optimizing the current three-dimensional structural model according to the multi-gate mold flow analysis result and the first strength analysis result; A development module is used to determine whether the optimized three-dimensional structure model meets the preset process standards; If the optimized three-dimensional structure model does not meet the preset process standard, the optimized three-dimensional structure model is determined as the current three-dimensional structure model, and the process returns to the step of importing the current three-dimensional structure model into a mold flow analysis tool to perform multi-gate mold flow analysis to obtain a multi-gate mold flow analysis result; If the optimized three-dimensional structural model meets the preset process standard, a filling pouring row three-dimensional model and a mold structure three-dimensional model designed according to the optimized three-dimensional structural model are obtained; Inputting the filling runner three-dimensional model and the mold structure three-dimensional model into the mold flow analysis tool to respectively perform gate flow simulation analysis and mold thermal balance analysis to obtain mold flow analysis results; The mold flow analysis results are used to train a proxy model, and the proxy model is input into a rapid simulation tool to obtain a qualified simulation casting that meets the process requirements.

8. A casting collaborative development device, characterized in that: The method comprises at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs; The processor is used to execute the computer program so that the electronic device can implement the casting collaborative development method as described in any one of claims 1 to 6.

9. A computer program product, characterized in that It comprises computer-readable instructions, and when the computer-readable instructions are executed on an electronic device, the electronic device implements the casting collaborative development method as claimed in any one of claims 1 to 6.

10. A computer storage medium, characterized in that: The storage medium carries one or more computer programs, which, when executed by an electronic device, enable the electronic device to implement the casting collaborative development method as described in any one of claims 1 to 6.