Die stamping process optimization method and system

Abstract

The invention discloses a die stamping process optimization method and system, and relates to the related field of mechanical manufacturing, and the method comprises the steps: obtaining a data set of a workpiece, and extracting the features of the workpiece; matching simulation of the workpiece and the matching part is carried out, and a restrictive space of the workpiece is established; inputting the workpiece features and the product requirements of the workpiece into a structural feature analysis model to execute structural analysis, and establishing a structural sensitive identifier; performing mold optimization fitting, and establishing a mold reinforcing rib scheme set; performing stamping key parameter optimization based on the scheme set, and establishing a control parameter optimization set; and performing evaluation analysis on a mapping result through a multi-dimensional fitness evaluation function to generate a process optimization scheme. The technical problem that in an existing die stamping process optimization method, die design and process parameter adjustment are carried out separately, integrity and collaboration are lacked, and the optimization effect is limited is solved, and the technical effect that die design and process optimization are closely combined, and comprehensive optimization from die design to process parameters is achieved is achieved.

Description

Technical Field

[0001] This application relates to the field of mechanical manufacturing, and particularly to a method and system for optimizing die stamping process. Background Art

[0002] The die stamping process is a method of stamping materials using dies, which is widely used in the production of various metal products. In order to improve production efficiency, reduce costs, improve product quality, and enhance the stability and controllability of the process, it is necessary to optimize the die stamping process. When optimizing the die stamping process in the prior art, it often relies on the experience of engineers and the trial-and-error method. Die design and process optimization are usually carried out separately, lacking close connection and coordination with each other. This may lead to deviations between die design and actual production requirements, and the adjustment of process parameters may also be inaccurate and incomplete, unable to fully exert the potential of the die and improve production efficiency.

[0003] In the related technologies at the present stage, the die stamping process optimization method has the technical problem that die design and process parameter adjustment are carried out separately, lacking integrity and synergy, resulting in limited optimization effect. Summary of the Invention

[0004] This application provides a method and system for optimizing die stamping process. By adopting technical means such as extracting part features, performing mating simulation of the part and the mating parts, establishing structure-sensitive identifiers, performing die optimization fitting, establishing an optimization set of control parameters, and performing multi-dimensional fitness evaluation, the technical effect of comprehensively optimizing from die design to process parameters is achieved by closely combining die design and process optimization.

[0005] This application provides a method for optimizing die stamping process, including: Obtaining a data set of a part, where the part is a product to be processed by the die stamping process, and extracting part features based on the data set, where the part features include the structural features and material features of the part; Establishing a three-dimensional fitting model of the part and the mating parts, performing mating simulation of the part and the mating parts according to the three-dimensional fitting model, and establishing a restricted space of the part; Synchronously inputting the part features and the product requirements of the part into a structural feature analysis model to perform structural analysis, and establishing structure-sensitive identifiers; Performing die optimization fitting with the structure-sensitive identifiers and the restricted space, and establishing a set of solutions for die ribs, where the die ribs correspond to the part ribs, and the part ribs are restricted by the restricted space; Optimizing the key stamping parameters of the part based on the set of solutions, and establishing an optimization set of control parameters mapped to the set of solutions; Evaluate and analyze the mapping results through a multi-dimensional fitness evaluation function, and generate a process optimization plan based on the evaluation and analysis results.

[0006] In a possible implementation, for the evaluation and analysis of the mapping results through the multi-dimensional fitness evaluation function and generating a process optimization plan based on the evaluation and analysis results, the following processing is performed: Establish the normalization integration ratio of the multi-dimensional fitness evaluation function; When evaluating and analyzing the mapping results through the multi-dimensional fitness evaluation function, if any evaluation result does not meet the basic threshold, generate an elimination instruction, and eliminate the corresponding mapping result according to the elimination instruction; Normalize all evaluation results that meet the basic threshold through the normalization integration ratio, and generate an evaluation and analysis result with the normalized processing result.

[0007] In a possible implementation, for the evaluation and analysis of the mapping results through the multi-dimensional fitness evaluation function and generating a process optimization plan based on the evaluation and analysis results, the following processing is performed: Establish a surface fitness evaluation function based on the product requirements, and use the surface fitness evaluation function as the first-dimensional fitness evaluation function; Establish a time cost fitness evaluation function, and use the time cost fitness evaluation function as the second-dimensional fitness evaluation function; Establish a material cost fitness evaluation function, and use the material cost fitness evaluation function as the third-dimensional fitness evaluation function; Establish a stability fitness evaluation function, and use the stability fitness evaluation function as the fourth-dimensional fitness evaluation function; Use the first-dimensional fitness evaluation function, the second-dimensional fitness evaluation function, the third-dimensional fitness evaluation function, and the fourth-dimensional fitness evaluation function as the multi-dimensional fitness evaluation function to evaluate and analyze the mapping results.

[0008] In a possible implementation, after generating a process optimization plan based on the evaluation and analysis results, the following processing is performed: Make a proof sample of the product according to the process optimization plan, and establish a proof sample product set; Perform defect detection on the proof sample product set to generate a defect identification result; Generate a first optimization constraint with the reversible defects in the defect identification result; Generate a second optimization constraint with the irreversible defects in the defect identification result; Adjust the process optimization plan based on the first optimization constraint and the second optimization constraint.

[0009] In a possible implementation, to establish a three-dimensional fitting model of the workpiece and the mating part, perform mating simulation of the workpiece and the mating part according to the three-dimensional fitting model, and establish a restricted space of the workpiece, the following processing is performed: Configure the mating state of the workpiece and the mating part, and set a basic restricted space in the mating state; Perform assembly fitting of the workpiece and the mating part, and establish an assembly restricted space according to the assembly fitting result; Complete the establishment of the restricted space of the workpiece according to the basic restricted space and the assembly restricted space.

[0010] In a possible implementation, to optimize the stamping key parameters of the workpiece based on the solution set, the following processing is performed: Establish a stamping database of the workpiece; Based on the stamping database, comprehensively evaluate the influence of N stamping parameters on stamping; Determine adaptive key parameters according to the comprehensive evaluation result of the influence, establish stamping key parameters, and perform optimization with the stamping key parameters.

[0011] In a possible implementation, to generate a process optimization plan according to the evaluation and analysis result, the following processing is performed: Establish a steady-state alternative execution plan according to the evaluation and analysis result; When the process optimization plan meets a preset abnormal threshold during execution, generate an emergency call instruction; Enable the alternative execution plan through the emergency call instruction to perform processing management with the alternative execution plan.

[0012] This application also provides a die stamping process optimization system, including: A workpiece feature extraction module, which is used to obtain a data set of the workpiece. The workpiece is a product to be processed by a die stamping process. Based on the data set, workpiece features are extracted. Among them, the workpiece features include the structural features and material features of the workpiece; A restricted space establishment module, which is used to establish a three-dimensional fitting model of the workpiece and the mating part, perform mating simulation of the workpiece and the mating part according to the three-dimensional fitting model, and establish a restricted space of the workpiece; A structure-sensitive identifier establishment module, which is used to synchronously input the workpiece features and the product requirements of the workpiece into a structural feature analysis model to perform structural analysis and establish a structure-sensitive identifier; Mold rib reinforcement plan set establishment module, which is used to perform mold optimization fitting with the structure-sensitive identifier and the restricted space to establish a plan set of mold ribs. Among them, the mold rib corresponds to the part rib, and the part rib is restricted by the restricted space; Stamping key parameter optimization module, which is used to optimize the stamping key parameters of the part based on the plan set and establish a control parameter optimization set mapped to the plan set; Process optimization plan generation module, which is used to perform evaluation and analysis of the mapping result through a multi-dimensional fitness evaluation function and generate a process optimization plan according to the evaluation and analysis result.

[0013] It is proposed to use a mold stamping process optimization method and system in this application. First, obtain the data set of the part. Among them, the part is a product to be processed by the mold stamping process. Extract part features based on the data set, including the structural features and material features of the part. Then establish a three-dimensional fitting model of the part and the mating part, perform mating simulation of the part and the mating part according to the three-dimensional fitting model, establish the restricted space of the part, and then synchronously input the part features and the product requirements of the part into the structural feature analysis model to perform structural analysis, establish a structure-sensitive identifier, and then perform mold optimization fitting with the structure-sensitive identifier and the restricted space to establish a plan set of mold ribs. Among them, the mold rib corresponds to the part rib, and the part rib is restricted by the restricted space. Then optimize the stamping key parameters of the part based on the plan set and establish a control parameter optimization set mapped to the plan set. Finally, perform evaluation and analysis of the mapping result through a multi-dimensional fitness evaluation function and generate a process optimization plan according to the evaluation and analysis result, achieving the technical effect of comprehensively optimizing from mold design to process parameters by closely combining mold design and process optimization. Brief Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the operations in the front or below do not necessarily need to be executed precisely in sequence. On the contrary, according to needs, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0015] Figure 1 It is a schematic flowchart of a mold stamping process optimization method provided by an embodiment of the present application; Figure 2 It is a schematic structural diagram of a mold stamping process optimization system provided by an embodiment of the present application.

[0016] Description of reference numerals: part feature extraction module 10, restricted space establishment module 20, structure-sensitive identification establishment module 30, mold rib plan set establishment module 40, stamping key parameter optimization module 50, process optimization plan generation module 60. Detailed implementation manners

[0017] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the description. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0018] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings. The described embodiments should not be regarded as limitations on the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0019] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first\second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0020] The embodiment of the present application provides a method for optimizing a mold stamping process, as Figure 1 shown, the method includes: Step S100, obtain the data set of the workpiece. The workpiece is a product to be processed by the die stamping process. Extract the workpiece features based on the data set. Among them, the workpiece features include the structural features and material features of the workpiece. Specifically, collect the design drawings, technical specifications, material information, etc. of the workpiece to form the data set of the workpiece. Use CAD or other relevant software to extract the structural features (such as vertical depth, thickness, corner structure, shape, size, holes, etc.) and material features (such as hardness, toughness, corrosion resistance, etc.) of the workpiece from the data set of the workpiece. By extracting the workpiece features, it provides basic data support for subsequent analysis and processing.

[0021] Step S200, establish a three-dimensional fitting model of the workpiece and the mating part. Perform a mating simulation of the workpiece and the mating part according to the three-dimensional fitting model, and establish the restricted space of the workpiece. Specifically, the mating part refers to other parts or components that cooperate with the workpiece during the assembly process. The mating part is a component that is connected, assembled, or fitted with the workpiece to ensure the correct position, function, and stability of the workpiece in the overall mechanical structure. Collect the design data of the mating part, including dimensions, shapes, tolerances, etc. Use three-dimensional modeling software (such as SolidWorks, UG, etc.) to establish the three-dimensional models of the workpiece and the mating part respectively according to the data sets of the workpiece and the fitting parts. The three-dimensional models are used to reflect the actual situation of the product. Fit the two models, set the mating conditions in the three-dimensional modeling software, simulate the assembly process of the workpiece and the mating part in actual work, run the simulation program, analyze the interaction and dynamic changes between the workpiece and the mating part during the assembly process, record the data during the simulation process, such as assembly force, assembly clearance, assembly angle, etc. According to the results of the mating simulation, determine the restrictions and constraints on the workpiece during the assembly process, mark the restricted and constrained areas in the three-dimensional model, and form the restricted space of the workpiece. That is, the restricted space of the workpiece refers to the area where the workpiece is restricted and constrained by the mating part during the assembly process, which is the boundary condition that the workpiece must comply with during the assembly process. By establishing the restricted space, it is used to guide the die design and the optimization of the stamping process to ensure that the workpiece can meet the assembly requirements.

[0022] In a possible implementation, step S200 further includes step S210 of configuring the mating state of the workpiece and the mating part and setting the basic restricted space in the mating state. Specifically, analyze the design drawings and technical specifications of the workpiece and the mating part to determine the mating method and requirements of the workpiece and the mating part. In the 3D modeling software, according to the mating method and requirements, configure the relative position and attitude of the workpiece and the mating part. According to the configured mating state, preliminarily set the basic restricted space of the workpiece. The basic restricted space is the restricted space based on the theoretical mating state of the workpiece and the mating part without considering the actual deformation and deviation during the assembly process. Step S220 is to perform the assembly fitting of the workpiece and the mating part and establish the assembly restricted space according to the assembly fitting result. Specifically, in the 3D modeling software, start the assembly fitting function, simulate the assembly process of the workpiece and the mating part, analyze the interference, clearance, etc. during the assembly process, record the data during the assembly process, and according to the assembly fitting result, analyze the actual restrictions and constraints that the workpiece is subjected to during the assembly process. According to the actual restrictions and constraints, establish the assembly restricted space. The assembly restricted space is the restricted space based on the simulation result of the actual assembly process, considering the deformation and deviation during the assembly process. Step S230 is to complete the establishment of the restricted space of the workpiece according to the basic restricted space and the assembly restricted space. Specifically, integrate the information of the basic restricted space and the assembly restricted space, analyze the overlapping, complementary or conflicting relationship between the two, and according to the analysis result, merge, adjust or optimize the two restricted spaces to form a complete restricted space of the workpiece. This implementation method not only considers the theoretical mating state when establishing the restricted space of the workpiece, but also considers the actual situation during the actual assembly process, forming a comprehensive and accurate restricted space of the workpiece, achieving a better technical effect of guiding the subsequent mold design and stamping process optimization.

[0023] Step S300: Synchronously input the part features and the product requirements of the part into the structural feature analysis model to perform structural analysis and establish structural sensitivity markings. Specifically, determine the product requirements of the part. The product requirements are specific functional and performance requirements that the part needs to meet during actual use, such as functional requirements, usage environment, service life, etc. Synchronously input the part feature data and the product requirements into the structural feature analysis model. The structural feature analysis model is a tool based on engineering analysis and mathematical models, used to predict and evaluate the structural performance of the part under different conditions. The structural feature analysis model performs structural analysis according to the input part features and product requirements. The analysis can include stress analysis, deformation analysis, fatigue analysis, thermal analysis, etc., depending on the characteristics of the part and the product requirements. The structural feature analysis model uses preset algorithms and formulas, combined with part features (material properties, geometric shapes, etc.), to calculate and analyze the structural performance under various conditions. During the structural analysis process, the structural feature analysis model identifies the areas in the part that have a greater impact on the structural performance, i.e., the structurally sensitive areas. The structurally sensitive areas can be stress concentration points, areas with large deformations, or areas prone to fatigue failure. According to the results of the structural analysis, mark the structurally sensitive areas on the 3D model of the part. The markings can be color markings, annotations, or other forms of markings.

[0024] Step S400: Optimally fit the mold with the structural sensitivity markings and the restricted space to establish a set of mold rib reinforcement schemes, where the mold ribs correspond to the part ribs, and the part ribs are constrained by the restricted space. Specifically, the mold rib is a structural element in mold design, used to enhance the structural strength and stability of the part. The design of the mold rib corresponds to the structurally sensitive areas of the part and is constrained by the restricted space. The structural sensitivity markings represent the weak links in the structure of the part and are the focus of the reinforcement design. Analyze the structural sensitivity markings to determine the areas in the part where there are weaknesses or potential risks in the structure, and analyze the reasons for the formation of the sensitive areas, such as uneven material distribution, complex geometric shapes, etc. Use the restricted space as a constraint condition for mold design to ensure that the design of the mold rib does not interfere with the assembly and mating parts of the part. By analyzing the influence of the restricted space on the layout and size of the mold rib, ensure that the mold rib can effectively enhance the structural strength of the part while meeting the space limitations. According to the structural sensitivity markings and the restricted space, adjust and optimize design elements such as the mold cavity and parting surface of the mold to adapt to the structural characteristics and reinforcement requirements of the part. Generate multiple mold rib reinforcement schemes through simulation or actual mold trial. Each scheme strengthens the structurally sensitive areas of the part to enhance the structural rigidity and strength of the part. Organize all the designed mold rib reinforcement schemes to form a set of schemes, that is, the set of schemes provides multiple possible mold rib design schemes.

[0025] Step S500: Optimize the key stamping parameters of the workpiece based on the solution set, and establish an optimization set of control parameters mapped to the solution set. Specifically, analyze the solution set of the die rib, evaluate the possible impacts of different solutions on the stamping forming process of the workpiece, including aspects such as forming force, material flow, and forming accuracy. According to the material, shape, size of the workpiece and the design of the die rib, determine the key parameters that affect the stamping forming quality and efficiency. The key parameters may include stamping speed, punching pressure, die temperature, holding pressure time, etc. Use mathematical modeling and simulation technology to establish a stamping key parameter optimization model corresponding to the die rib solution set, solve the stamping key parameter optimization model through optimization algorithms (such as genetic algorithm, particle swarm algorithm, etc.), find the optimal combination of stamping key parameters under each die rib solution, evaluate the impact of different combinations of stamping key parameters on the forming quality, and select the optimal solution as the control parameter. Organize each die rib solution and its corresponding optimal control parameter to form an optimization set of control parameters. The optimization set of control parameters reflects the mapping relationship between different die rib solutions and stamping control parameters.

[0026] In a possible implementation manner, for the optimization of the key stamping parameters of the workpiece based on the solution set, step S500 further includes step S510 of establishing a stamping database for the workpiece. Specifically, historical stamping data is collected, including stamping parameters, material properties, forming quality, etc. under different die rib solutions. The collected data is sorted, classified, and standardized, and the processed data is stored in the database to establish a stamping database. Step S520, based on the stamping database, comprehensively evaluate the influence of N stamping parameters on stamping. Specifically, N stamping parameters (such as stamping speed, punching force, die temperature, etc.) are extracted from the stamping database, and statistical analysis, machine learning and other methods are used to analyze the influence of these stamping parameters on the forming quality of the workpiece, including aspects such as forming accuracy, surface quality, and material utilization rate, and a comprehensive evaluation is carried out to determine the influence degree of each stamping parameter on the stamping forming quality, and a comprehensive evaluation result is formed. By comprehensively evaluating the N stamping parameters, it is determined which stamping parameters have a greater influence on the forming quality and which have a smaller influence. Step S530, determine the adaptive key parameters according to the comprehensive evaluation result of the influence, establish the stamping key parameters, and perform the optimization with the stamping key parameters. Specifically, the comprehensive evaluation result of the influence of each stamping parameter on the forming quality is read from the output of step S520, and these comprehensive evaluation results of the influence are sorted according to the influence degree to form a parameter influence list. A threshold is set, which is used to distinguish key parameters and non-key parameters. According to the parameter influence list, the stamping parameters whose influence degree exceeds the threshold are selected as key parameters. For each stamping key parameter, a value range or constraint condition is set, and a corresponding mathematical model or optimization algorithm is established. The optimization algorithm is used to optimize the stamping key parameters to find the combination of the values of the stamping key parameters that makes the forming quality reach the optimum. This implementation manner can efficiently and accurately find the most critical stamping parameters affecting the forming quality by adaptively determining the key parameters, thus achieving the technical effect of improving the efficiency and accuracy of key parameter determination.

[0027] Step S600: Evaluate and analyze the mapping results through a multi-dimensional fitness evaluation function, and generate a process optimization plan according to the evaluation and analysis results. Specifically, since the stamping forming of parts involves multiple performance indicators, a single-dimensional evaluation function cannot comprehensively reflect the advantages and disadvantages of the process plan. Therefore, according to the requirements and key performance indicators of the stamping forming of parts, the dimensions of the multi-dimensional fitness evaluation function are set. These dimensions can include forming accuracy, surface quality, material utilization rate, die life, production efficiency, etc. Combining the set dimensions, a multi-dimensional fitness evaluation function that comprehensively reflects the performance of each dimension is constructed. The multi-dimensional fitness evaluation function is used to uniformly quantify multiple key indicators in the stamping forming process of parts, so as to facilitate the comprehensive evaluation of different process plans. Take the control parameter optimization set mapped based on the plan set as the input and input it into the multi-dimensional fitness evaluation function. Through the multi-dimensional fitness evaluation function, calculate the fitness value of each mapping result. The fitness value reflects the comprehensive performance of the process plan in multiple dimensions. According to the calculated fitness value, sort the mapping results, and output the process plan with a higher fitness value as the process optimization plan. The embodiments of the present application adopt technical means such as extracting part features, performing mating simulation of parts and mating parts, establishing structure-sensitive identifiers, performing die optimization fitting, establishing a control parameter optimization set, and performing multi-dimensional fitness evaluation, etc., to achieve the technical effect of comprehensively optimizing from die design to process parameters by closely combining die design and process optimization.

[0028] In a possible implementation, step S600 further includes step S610 of establishing a normalization integration ratio for the multi-dimensional fitness evaluation function. Specifically, the normalization integration ratio is established to ensure that evaluation indicators of different dimensions can be compared and integrated on a unified scale, avoiding certain dimensions from overly influencing the overall evaluation result due to differences in dimension or value range. By analyzing each evaluation dimension, determine the value range, distribution characteristics, and the degree of influence on the overall performance of each evaluation dimension, determine the normalization method according to the dimension characteristics, such as linear transformation, maximum-minimum normalization, etc., and calculate the normalization integration ratio for each dimension according to the normalization method and dimension characteristics. Step S620, when performing mapping result evaluation and analysis through the multi-dimensional fitness evaluation function, if any evaluation result does not meet the basic threshold, generate an elimination instruction, and eliminate the corresponding mapping result according to the elimination instruction. Specifically, according to the requirements and key performance indicators of the part stamping forming, set a basic threshold for each evaluation dimension. Setting the basic threshold is to ensure that the selected process plan meets at least certain performance requirements. Apply the multi-dimensional fitness evaluation function to the mapping results to obtain the evaluation values of each mapping result in each dimension, compare the evaluation value of each dimension with the corresponding basic threshold. If the evaluation value of any dimension is lower than the basic threshold, it is determined that the mapping result does not meet the requirements. For the mapping results that do not meet the requirements, generate an elimination instruction and remove them from the candidate solutions. Step S630, normalize all the evaluation results that meet the basic threshold through the normalization integration ratio, and generate an evaluation analysis result based on the normalized result. Specifically, select all the evaluation results that meet the basic threshold as the input for normalization processing. According to the normalization integration ratio established in step S610, perform normalization processing on the selected evaluation results, integrate the normalized evaluation results according to the set integration method to obtain the comprehensive evaluation score or grade of each mapping result, and generate the final evaluation analysis result based on the comprehensive evaluation score or grade. This implementation ensures that the finally selected process optimization plan can meet certain standards in all aspects by setting a basic threshold and eliminating mapping results that do not meet the requirements. Because in actual production, any shortcoming in any dimension may lead to a decline in overall performance or an increase in production costs. Therefore, by eliminating mapping results that do not meet the basic requirements in advance, it avoids wasting resources and time due to some obviously non-compliant solutions, achieving the technical effects of improving the efficiency and accuracy of the optimization work.

[0029] In a possible implementation, step S600 further includes step S640. Based on the product requirements, a surface fitness evaluation function is established, which is used as the first-dimensional fitness evaluation function. A time-cost fitness evaluation function is established and used as the second-dimensional fitness evaluation function. A material-cost fitness evaluation function is established and used as the third-dimensional fitness evaluation function. A stability fitness evaluation function is established and used as the fourth-dimensional fitness evaluation function. The first-dimensional, second-dimensional, third-dimensional, and fourth-dimensional fitness evaluation functions are used as multi-dimensional fitness evaluation functions to evaluate and analyze the mapping results. Specifically, analyze the quality requirements of the product surface, including smoothness, flatness, texture, etc. According to the surface requirements, determine the indicators for evaluating the surface quality, such as surface roughness, glossiness, etc. Based on the determined evaluation indicators, use mathematical methods or empirical formulas to construct a surface fitness evaluation function, which is used to quantitatively evaluate the quality of the product surface to ensure that the appearance and performance requirements of the product are met; record the time required for each link in the stamping process of the product, and according to the actual situation, assign weights to different time-cost items. Based on the time data and combined with the weight assignment, construct a time-cost fitness evaluation function, which is used to evaluate the economy of the stamping process of the product. By optimizing the time cost, the production efficiency can be improved and the production cost can be reduced; count the types, quantities, and prices of materials used in the stamping process of the product, including the material improvement cost of the mold, the cost of new ribs of the product, etc. Incorporate the material utilization rate into the evaluation scope to reflect the degree of material conservation of the process. Based on the material usage and utilization rate, construct a material-cost fitness evaluation function, which is used to evaluate the material consumption of the stamping process of the product. By optimizing the material usage, it helps to reduce the production cost; analyze the factors affecting stability in the stamping process of the product, such as equipment accuracy, mold life, etc. According to the stability factors, determine the indicators for evaluating the process stability. Based on the stability indicators, construct a stability fitness evaluation function, which is used to evaluate the reliability of the stamping process of the product. Ensuring the stability of the process can reduce faults and losses in production. Apply the established first-dimensional to fourth-dimensional fitness evaluation functions to the evaluation and analysis of the mapping results. According to the outputs of the evaluation functions of each dimension, combined with the normalization integration ratio, calculate the comprehensive evaluation value of the mapping result. Based on the comprehensive evaluation value, generate the final evaluation and analysis result. This implementation establishes four fitness evaluation functions for specific performance requirements or cost factors, and integrates these four fitness evaluation functions into a multi-dimensional fitness evaluation function to comprehensively and integrally evaluate the performance and cost of the stamping process of the product. Through this evaluation method, the technical effect of being able to more accurately screen out the process optimization plan that meets the product requirements and has good economy is achieved.

[0030] In a possible implementation, after generating the process optimization plan according to the evaluation and analysis results, step S600 further includes step S650, which is to proof the product according to the process optimization plan, establish a set of proofed products, perform defect detection on the set of proofed products, and generate a defect identification result. Specifically, according to the generated process optimization plan, perform the proofing operation of the product. The proofing process strictly follows the various parameters and steps of the process optimization plan. Collect all the proofed products to form a set of proofed products. Perform defect detection on each product in the set of proofed products. The detection content may include appearance defects, performance defects, dimensional deviations, etc. According to the detection results, generate a defect identification result. The defect identification result includes the defect type, location, and degree of each product, etc. Step S660 is to generate a first optimization constraint with the reversible defects in the defect identification result and generate a second optimization constraint with the irreversible defects in the defect identification result. Specifically, analyze the defect identification result to distinguish reversible defects and irreversible defects. Reversible defects refer to defects that can be eliminated by adjusting process parameters or methods, and irreversible defects refer to defects that cannot be eliminated by simple adjustment. For reversible defects, generate a first optimization constraint, which includes the process parameters or methods that need to be adjusted, as well as the adjustment target and direction. For irreversible defects, generate a second optimization constraint, which includes the overall improvement or re-design of the process optimization plan to eliminate irreversible defects. Step S670 is to adjust the process optimization plan based on the first optimization constraint and the second optimization constraint. Specifically, comprehensively evaluate the generated first optimization constraint and second optimization constraint to determine the priority and importance. According to the evaluation results, adjust the original process optimization plan, including fine-tuning of process parameters, reorganization of process steps, or improvement of process methods, etc. Perform proofing and defect detection again on the adjusted process optimization plan to verify whether the adjustment effect meets the expectations. This implementation method makes targeted improvements to the process optimization plan through steps such as proofing, defect detection, generating optimization constraints, and plan adjustment, forming a complete process optimization closed loop. Through iteration and adjustment, it continuously promotes the optimization and improvement of the process plan, achieving the technical effect of continuously improving product quality by iteratively optimizing the process plan.

[0031] In a possible implementation, the step of generating a process optimization plan according to the evaluation and analysis results, step S600 further includes step S680 of establishing a steady-state alternative execution plan according to the evaluation and analysis results. Specifically, analyze the evaluation and analysis results, determine the performance and potential problems of the process optimization plan in each dimension, and based on the evaluation and analysis results, identify the potential risk points in the process optimization plan, such as unstable material supply, high equipment failure rate, etc. For the identified potential risk points, formulate corresponding alternative execution plans. The alternative execution plan is a countermeasure proposed for the potential risk points based on the evaluation and analysis results, and is used to ensure that when an abnormal situation occurs, it can quickly switch to the alternative execution plan to maintain the continuity and stability of the production process. Step S690, when the process optimization plan meets the preset abnormal threshold during execution, generate an emergency call instruction, and enable the alternative execution plan through the emergency call instruction to perform processing management with the alternative execution plan. Specifically, during the execution of the process optimization plan, monitor various key indicators in real time, compare the monitored data with the preset abnormal threshold to determine whether an abnormal situation occurs. The abnormal threshold is set according to historical data, industry standards or expert suggestions. Once an abnormal situation is detected and meets the preset abnormal threshold, immediately generate an emergency call instruction, and automatically or manually enable the alternative execution plan established in step S680 through the emergency call instruction. Under the guidance of the alternative execution plan, perform subsequent processing management work. This implementation ensures that when an abnormal situation occurs during the execution of the process optimization plan, it can quickly respond, avoid production interruption or loss expansion, and achieves the technical effect of ensuring the smooth progress of the production process and improving the stability and adaptability of the production process.

[0032] In the foregoing, reference is made to Figure 1 A method for optimizing a die stamping process according to an embodiment of the present invention is described in detail. Next, reference will be made to Figure 2 Describe a die stamping process optimization system according to an embodiment of the present invention.

[0033] A die stamping process optimization system according to an embodiment of the present invention is used to solve the technical problem that the existing die stamping process optimization method separates die design and process parameter adjustment, lacking integrity and synergy, resulting in limited optimization effects, and achieves the technical effect of comprehensively optimizing from die design to process parameters by closely combining die design and process optimization. A die stamping process optimization system includes: a part feature extraction module 10, a restricted space establishment module 20, a structure-sensitive identification establishment module 30, a die rib plan set establishment module 40, a stamping key parameter optimization module 50, and a process optimization plan generation module 60.

[0034] The workpiece feature extraction module 10 is used to obtain the dataset of the workpiece. The workpiece is a product to be processed by the stamping process of a die. Based on the dataset, the workpiece features are extracted. Among them, the workpiece features include the structural features and material features of the workpiece. The restricted space establishment module 20 is used to establish a three-dimensional fitting model of the workpiece and the mating part. According to the three-dimensional fitting model, the mating simulation of the workpiece and the mating part is carried out, and the restricted space of the workpiece is established. The structure-sensitive identification establishment module 30 is used to synchronously input the workpiece features and the product requirements of the workpiece into the structural feature analysis model to perform structural analysis and establish structure-sensitive identifications. The die rib plan set establishment module 40 is used to perform die optimization fitting with the structure-sensitive identifications and the restricted space, and establish a plan set of die ribs. Among them, the die ribs correspond to the workpiece ribs, and the workpiece ribs are constrained by the restricted space. The stamping key parameter optimization module 50 is used to optimize the stamping key parameters of the workpiece based on the plan set, and establish a control parameter optimization set mapped to the plan set. The process optimization plan generation module 60 is used to perform evaluation and analysis of the mapping results through a multi-dimensional fitness evaluation function, and generate a process optimization plan according to the evaluation and analysis results.

[0035] Next, the specific configuration of the process optimization plan generation module 60 will be described in detail. As described above, the evaluation and analysis of the mapping results are performed through a multi-dimensional fitness evaluation function, and a process optimization plan is generated according to the evaluation and analysis results. The process optimization plan generation module 60 may further include: a normalization integration ratio establishment unit for establishing the normalization integration ratio of the multi-dimensional fitness evaluation function; an elimination unit for generating an elimination instruction if any evaluation result cannot meet the basic threshold when performing the evaluation and analysis of the mapping results through the multi-dimensional fitness evaluation function, and eliminating the corresponding mapping result according to the elimination instruction; a normalization processing unit for performing normalization processing on all evaluation results that meet the basic threshold through the normalization integration ratio, and generating an evaluation and analysis result with the normalization processing result.

[0036] Among them, for the evaluation and analysis of the mapping result through the multi-dimensional fitness evaluation function, and generating a process optimization plan according to the evaluation and analysis result, the process optimization plan generation module 60 may further include: a multi-dimensional fitness evaluation function establishment unit for establishing a surface fitness evaluation function based on the product requirements, taking the surface fitness evaluation function as the first-dimensional fitness evaluation function, establishing a time cost fitness evaluation function, taking the time cost fitness evaluation function as the second-dimensional fitness evaluation function, establishing a material cost fitness evaluation function, taking the material cost fitness evaluation function as the third-dimensional fitness evaluation function, establishing a stability fitness evaluation function, taking the stability fitness evaluation function as the fourth-dimensional fitness evaluation function, and using the first-dimensional fitness evaluation function, the second-dimensional fitness evaluation function, the third-dimensional fitness evaluation function, and the fourth-dimensional fitness evaluation function as the multi-dimensional fitness evaluation function to conduct the evaluation and analysis of the mapping result.

[0037] Among them, after generating the process optimization plan according to the evaluation and analysis result, the process optimization plan generation module 60 may further include: a proofing product set establishment unit for proofing the product according to the process optimization plan to establish a proofing product set; a defect detection unit for detecting defects in the proofing product set to generate a defect identification result; an optimization constraint generation unit for generating a first optimization constraint based on the reversible defects in the defect identification result and generating a second optimization constraint based on the irreversible defects in the defect identification result; and a plan adjustment unit for adjusting the process optimization plan based on the first optimization constraint and the second optimization constraint.

[0038] Next, the specific configuration of the restricted space establishment module 20 will be described in detail. As described above, a three-dimensional fitting model of the workpiece and the mating part is established, and the mating simulation of the workpiece and the mating part is carried out according to the three-dimensional fitting model to establish the restricted space of the workpiece. The restricted space establishment module 20 may further include: a basic restricted space setting unit for configuring the mating state of the workpiece and the mating part and setting the basic restricted space in accordance with the mating state; an assembly restricted space establishment unit for performing the assembly fitting of the workpiece and the mating part and establishing the assembly restricted space according to the assembly fitting result; and a restricted space establishment unit for completing the establishment of the restricted space of the workpiece based on the basic restricted space and the assembly restricted space.

[0039] Next, the specific configuration of the stamping key parameter optimization module 50 will be described in detail. As described above, based on the solution set, the stamping key parameters of the workpiece are optimized. The stamping key parameter optimization module 50 may further include: a stamping database establishment unit for establishing a stamping database of the workpiece; a stamping influence comprehensive evaluation unit for comprehensively evaluating the influence of N stamping parameters on stamping based on the stamping database; a stamping key parameter establishment unit for adaptively determining key parameters according to the comprehensive evaluation result of the influence and establishing stamping key parameters, and performing optimization with the stamping key parameters.

[0040] Among them, for generating a process optimization plan according to the evaluation and analysis result, the process optimization plan generation module 60 may further include: an alternative execution plan establishment unit for establishing a steady-state alternative execution plan according to the evaluation and analysis result; an emergency call instruction generation unit for generating an emergency call instruction when the process optimization plan meets a preset abnormal threshold during execution; an alternative execution plan enabling unit for enabling the alternative execution plan through the emergency call instruction for the alternative execution plan to perform processing management.

[0041] The die stamping process optimization system provided by the embodiment of the present invention can execute the die stamping process optimization method provided by any embodiment of the present invention, and has corresponding function modules and beneficial effects for executing the method.

[0042] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The included various units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for facilitating mutual distinction and do not limit the protection scope of the present invention.

[0043] The above specific implementation manners do not constitute a limitation to the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be executed in a different order from that in the embodiments and still achieve the desired result. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for optimizing a die stamping process, characterized in that The method includes: Obtain a data set of the workpiece, where the workpiece is a product to be processed by a die stamping process. Extract workpiece features based on the data set. Among them, the workpiece features include the structural features and material features of the workpiece; Establish a three-dimensional fitting model of the workpiece and the mating part. Perform mating simulation of the workpiece and the mating part according to the three-dimensional fitting model, and establish a restricted space of the workpiece; Synchronously input the workpiece features and the product requirements of the workpiece into a structural feature analysis model to perform structural analysis, and establish a structure-sensitive identifier; Perform die optimization fitting with the structure-sensitive identifier and the restricted space, and establish a set of solutions for die ribs. Among them, the die ribs correspond to the workpiece ribs, and the workpiece ribs are constrained by the restricted space; Optimize the key stamping parameters of the workpiece based on the set of solutions, and establish an optimization set of control parameters mapped to the set of solutions; Perform evaluation and analysis of the mapping results through a multi-dimensional fitness evaluation function, and generate a process optimization plan according to the evaluation and analysis results.

2. The optimization method of a die stamping process according to claim 1, characterized in that The evaluation and analysis of the mapping results through a multi-dimensional fitness evaluation function, and generating a process optimization plan according to the evaluation and analysis results includes: Establish a normalization integration ratio of the multi-dimensional fitness evaluation function; When performing evaluation and analysis of the mapping results through a multi-dimensional fitness evaluation function, if any evaluation result does not meet the basic threshold, generate an elimination instruction, and eliminate the corresponding mapping result according to the elimination instruction; Normalize all evaluation results that meet the basic threshold through the normalization integration ratio, and generate an evaluation and analysis result with the normalized processing result.

3. The optimization method of a die stamping process according to claim 2, characterized in that The evaluation and analysis of the mapping results through a multi-dimensional fitness evaluation function, and generating a process optimization plan according to the evaluation and analysis results includes: Establish a surface fitness evaluation function based on the product requirements, and use the surface fitness evaluation function as the first-dimensional fitness evaluation function; Establish a time cost fitness evaluation function, and use the time cost fitness evaluation function as the second-dimensional fitness evaluation function; Establish a material cost fitness evaluation function, and use the material cost fitness evaluation function as the third-dimensional fitness evaluation function; Establish a stability fitness evaluation function, and use the stability fitness evaluation function as the fourth-dimensional fitness evaluation function; Use the first-dimensional fitness evaluation function, the second-dimensional fitness evaluation function, the third-dimensional fitness evaluation function, and the fourth-dimensional fitness evaluation function as the multi-dimensional fitness evaluation function to perform evaluation and analysis of the mapping results.

4. A method for optimizing a die stamping process according to claim 1, characterized in that, After generating the process optimization plan according to the evaluation and analysis results, it further includes: Perform proofing of the product according to the process optimization plan, and establish a set of proofing products; Perform defect detection on the set of proofing products, and generate a defect identification result; Generate a first optimization constraint with the reversible defects in the defect identification result; Generate a second optimization constraint with the irreversible defects in the defect identification result; Adjust the process optimization plan based on the first optimization constraint and the second optimization constraint.

5. A method for optimizing a die stamping process according to claim 1, characterized in that The establishment of a three-dimensional fitting model of the workpiece and the mating part, performing mating simulation of the workpiece and the mating part according to the three-dimensional fitting model, and establishing a restricted space of the workpiece includes: Configure the mating state of the workpiece and the mating part, and set the basic restricted space in the mating state; Execute the assembly fitting of the workpiece and the mating part, and establish the assembly restricted space according to the assembly fitting result; Complete the establishment of the restricted space of the workpiece based on the basic restricted space and the assembly restricted space.

6. The optimization method of a die stamping process according to claim 1, characterized in that, The optimization of the key stamping parameters of the workpiece based on the set of solutions includes: Establish a stamping database for the workpiece; Based on the stamping database, conduct a comprehensive evaluation of the influence of N stamping parameters on stamping; Determine the adaptive key parameters according to the comprehensive evaluation result of the influence, establish the key stamping parameters, and perform optimization based on the key stamping parameters.

7. A method for optimizing a die stamping process according to claim 1, characterized in that, The generation of the process optimization plan according to the evaluation and analysis result further includes: Establish a steady-state alternative execution plan according to the evaluation and analysis result; When the process optimization plan meets the preset abnormal threshold during execution, generate an emergency call instruction; Enable the alternative execution plan through the emergency call instruction, and use the alternative execution plan to execute the processing management.

8. An optimization system for die stamping process, characterized in that, The system is used to implement the mold stamping process optimization method described in any one of claims 1-7. The system includes: A workpiece feature extraction module, which is used to obtain the data set of the workpiece. The workpiece is a product to be processed by the mold stamping process. Based on the data set, the workpiece features are extracted. Among them, the workpiece features include the structural features and material features of the workpiece; A restricted space establishment module, which is used to establish a three-dimensional fitting model of the workpiece and the mating part, conduct a mating simulation of the workpiece and the mating part according to the three-dimensional fitting model, and establish the restricted space of the workpiece; A structure-sensitive identification establishment module, which is used to synchronously input the workpiece features and the product requirements of the workpiece into the structural feature analysis model to perform structural analysis and establish structure-sensitive identifications; A mold rib solution set establishment module, which is used to perform mold optimization fitting with the structure-sensitive identification and the restricted space, and establish a solution set of mold ribs. Among them, the mold ribs correspond to the workpiece ribs, and the workpiece ribs are constrained by the restricted space; A key stamping parameter optimization module, which is used to optimize the key stamping parameters of the workpiece based on the solution set and establish a control parameter optimization set mapped to the solution set; A process optimization plan generation module, which is used to conduct evaluation and analysis of the mapping result through a multi-dimensional fitness evaluation function, and generate a process optimization plan according to the evaluation and analysis result.

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