Multi-station stamping process optimization method based on intelligent temperature control

Abstract

The invention discloses a multi-station stamping process optimization method based on intelligent temperature control, and the method comprises the following steps: S1, building a forming process numerical model and a temperature field analysis numerical model, and obtaining a simulation result of the forming process numerical model through the forming process numerical model; s2, taking a simulation result of the numerical model of the forming process in the S1 as a basic boundary condition, and performing thermal-mechanical coupling analysis on the mold to obtain a finite cloud picture; and S3, outputting finite element result information through finite element analysis according to the finite cloud atlas in the S2. A forming process numerical model and a temperature field analysis numerical model are established, thermal-mechanical coupling analysis and finite element analysis are carried out, an optimized temperature field data result is obtained, production or optimization iteration is carried out according to the result, and finally heat treatment is carried out on a plate. According to the method, the temperature field is accurately controlled, and the stamping process is optimized, so that the energy consumption is reduced, the material utilization rate is improved, and the production period is shortened.

Description

Technical Field

[0001] The present invention belongs to the technical field of stamping processing, and in particular relates to a multi-station stamping process optimization method based on intelligent temperature control. Background Art

[0002] With the increasing global emphasis on environmental protection and the rapid development of the new energy vehicle market, automobile manufacturers have put forward higher requirements for the quality, performance and production efficiency of automobile components. In the field of automobile component processing, the cold stamping process is widely used in the production of components such as automobile floors due to its high efficiency, high precision and low cost. As a key component of the vehicle body structure, the innovation of the manufacturing process of the rear floor is of great significance for improving vehicle performance, reducing costs and accelerating the popularization of new energy vehicles.

[0003] Currently, the floor components of new energy vehicles mainly adopt hot stamping or traditional cold stamping processes. However, these processes have some significant problems.

[0004] First of all, high energy consumption is a prominent problem. Especially the hot stamping process, although it can significantly improve the material strength, but at the same time it also leads to a large increase in energy consumption.

[0005] Secondly, the low material utilization rate is also a problem that cannot be ignored. During the stamping process, a large amount of materials are wasted, which not only increases the production cost, but also does not conform to the concept of sustainable development.

[0006] In addition, the long production cycle is also an important factor restricting production efficiency. The stamping process often requires multiple processes, and the waiting time and adjustment time between each process will extend the entire production cycle.

[0007] Although the hot stamping process has significant advantages in improving material strength, its characteristics of high energy consumption and high cost have also become a double-edged sword. The high-temperature heating and rapid cooling processes not only consume a large amount of energy, but also require special equipment and process control, which directly lead to an increase in production costs. At the same time, the hot stamping process also has relatively high requirements for equipment and operators, which further increases the complexity and cost of production.

[0008] Although the traditional cold stamping process has relatively low energy consumption, it is often unable to cope when dealing with high-strength materials and is difficult to meet the dual requirements of lightweight and high strength for new energy vehicles. In addition, when the cold stamping process is used to process components with complex shapes, multiple processes are often required, which not only prolongs the production cycle, but also increases the complexity of the process and the possibility of errors.

[0009] In view of the above problems, the existing technology urgently needs to be improved. Therefore, it is necessary for us to design a multi-station stamping process optimization method based on intelligent temperature control to solve these problems. Summary of the Invention

[0010] The purpose of this application is to provide an optimization method for multi-station stamping process based on intelligent temperature control, which has the advantages of reducing energy consumption, improving material utilization rate, and shortening the production cycle.

[0011] This application provides an optimization method for multi-station stamping process based on intelligent temperature control. The technical solution is as follows: aiming at the stamping forming processing characteristics of multi-station progressive die, combining with the numerical simulation method according to the stamping process characteristics, the heating process of the sheet metal is considered in the numerical simulation process of the stamping forming process, which specifically includes the following steps:

[0012] S1: Establish a numerical model of the forming process and a numerical model for temperature field analysis, and obtain the simulation results of the forming process numerical model through the forming process numerical model;

[0013] S2: Take the simulation results of the forming process numerical model in S1 as the basic boundary conditions, conduct thermo-mechanical coupling analysis on the die, and obtain the finite element contour map;

[0014] S3: Output the finite element result information through finite element analysis according to the finite element contour map in S2;

[0015] S4: Use the finite element result information and superimpose it with the temperature field analysis numerical model in S1 to obtain the optimized temperature field numerical model of the forming process;

[0016] S5: Establish a post-processing model for the numerical simulation results of the optimized stamping process temperature field to obtain the shape stress contour map of the sheet metal;

[0017] S6: Compare the analysis results of S5 with the analysis results of S3 to obtain the temperature field data results of process optimization, and judge whether the analysis results of S5 meet the design requirements. If they meet the design requirements, enter S7; if the analysis results do not meet the design requirements, execute S8;

[0018] S7: Set the temperature interval value for production according to the temperature field data results in S6;

[0019] S8: According to the analysis results of S6, change the preheating temperature value of the sheet metal, the die temperature value, and the time factor, and perform optimization iteration until the design requirements are met, and obtain the temperature interval value;

[0020] S9: Perform heat treatment on the sheet metal according to the temperature interval value obtained in S8.

[0021] Furthermore, the present application also proposes that in S1, in the simulation of sheet metal forming process, based on the actual material parameters of the sheet metal, the die, and the initial temperature parameters of the sheet metal, the forming process of the sheet metal is meshed, and the whole process from the start to the end of the sheet metal forming is simulated. The finite element simulation results are used as the boundary conditions for the temperature field numerical simulation of process optimization to ensure the authenticity of the analysis results of each parameter during the stamping process.

[0022] Furthermore, the present application also proposes that in S2, based on the stamping boundary condition parameters of the sheet metal forming process, a thermal-mechanical coupling analysis is performed on the sheet metal and the die. Using the finite element simulation function of the temperature field software, the temperature change process generated by the die during the stamping process is simulated, so that the finite element results are fully coupled with the actual process. When the sheet metal enters the die to start forming after preheating, the temperature transfer between the sheet metal and the die, and the heat dissipation of the sheet metal temperature during the stamping process are simulated.

[0023] Furthermore, the present application also proposes that in S3, the temperature field simulation results during the sheet metal forming process include three parts: the sheet metal temperature, the heat dissipation on the sheet metal surface, and the die temperature.

[0024] Furthermore, the present application also proposes that in S4, in the optimization simulation of the sheet metal forming process, based on the temperature field simulation results of S3, the die is optimized. The forming process of the sheet metal is used as the boundary condition for the thermal-mechanical coupling analysis, and a thermal-mechanical coupling analysis is performed on the sheet metal to calculate the temperature interval values of each process optimization parameter. At the same time, the temperature parameters in the simulation results of S1 are used as the basic boundary conditions of the analysis model in S4 for constraint.

[0025] Furthermore, the present application also proposes that in S5, according to the temperature field simulation results extracted in S3, the forming results of the sheet metal forming process are simulated, the forming results are post-processed, and the forming shapes of each forming step of the sheet metal are extracted for analysis.

[0026] Furthermore, the present application also proposes to change the preheating temperature value of the sheet metal, the die temperature value, and the time factor, and calculate the temperature interval value of the sheet metal during the forming process in S2 by the method of optimization iteration to optimize the temperature interval value and improve the forming quality of the sheet metal.

[0027] The advantages and positive effects of the present invention are:

[0028] An optimization method for multi-station stamping process based on intelligent temperature control provided by the present invention and this application. Aiming at the stamping forming processing characteristics of multi-station progressive dies, according to the stamping process characteristics and combined with numerical simulation methods, the heating process of the sheet metal is considered in the numerical simulation process of the stamping forming process. By establishing a numerical model of the forming process and a numerical model of temperature field analysis, thermal-mechanical coupling analysis and finite element analysis are carried out to obtain the optimized temperature field data results, and production or optimization iteration is carried out according to the results, and finally the sheet metal is heat-treated. This method optimizes the stamping process by precisely controlling the temperature field, thereby reducing energy consumption, improving material utilization rate, and shortening the production cycle. Description of the Drawings

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative work, other drawings can also be obtained based on these drawings.

[0030] Figure 1 It is the flowchart of the present invention. Detailed Embodiments

[0031] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of "plurality" is two or more.

[0032] In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood through specific situations.

[0033] The present invention will be further described below in conjunction with the accompanying drawings:

[0034] Embodiment: Currently, the floor components of new energy vehicles mainly adopt hot stamping or traditional cold stamping processes, but there are problems such as high energy consumption, low material utilization rate, and long production cycle. Especially for the hot stamping process, although it can significantly improve the material strength, the energy consumption and cost also increase accordingly.

[0035] As Figure 1 shown, in order to solve the optimization problem of the heating process of the sheet metal during the multi-station progressive die stamping forming process, the present application proposes a multi-station stamping process optimization method based on intelligent temperature control. This method first establishes a numerical model of the forming process and a numerical model for temperature field analysis, and obtains the simulation results of the forming process numerical model through the forming process numerical model. Then, taking the simulation results of the forming process numerical model as the basic boundary conditions, a thermal-mechanical coupling analysis is performed on the die to obtain a finite element contour map. Next, through finite element analysis based on the finite element contour map, the finite element result information is output. Using the finite element result information, it is superimposed with the temperature field analysis numerical model to obtain a numerical model of the optimized temperature field of the forming process. Further, a post-processing model for the numerical simulation results of the optimized temperature field of the stamping process is established to obtain the stress contour map of the sheet metal shape. The analysis results are compared with the finite element result information to obtain the temperature field data results of the process optimization, and it is judged whether the analysis results meet the design requirements. If the design requirements are met, the temperature interval value is set for production. If the analysis results do not meet the design requirements, the preheating temperature value of the sheet metal, the die temperature value, and the time factor are changed for optimization iteration until the design requirements are met, and the temperature interval value is obtained. Finally, heat treatment is performed on the sheet metal according to the obtained temperature interval value.

[0036] The technical features in this application include: establishing a numerical model for the forming process and a numerical model for temperature field analysis, obtaining simulation results through the numerical model of the forming process; using the simulation results as the basic boundary conditions to conduct thermo-mechanical coupling analysis on the die to obtain a finite element contour map; outputting result information through finite element analysis; using the finite element result information to superimpose with the numerical model of temperature field analysis to obtain a numerical model of the optimized temperature field for the forming process; establishing a post-processing model for the numerical simulation results of the optimized temperature field of the stamping process to obtain a stress contour map of the sheet metal shape; comparing the analysis results with the finite element result information to obtain the temperature field data results of process optimization, and judging whether the design requirements are met. If the design requirements are met, a temperature range value is set for production. If the design requirements are not met, the preheating temperature value of the sheet metal, the die temperature value, and the time factor are changed for optimization iteration until the design requirements are met, and a temperature range value is obtained; heat-treating the sheet metal according to the obtained temperature range value. Through the mutual cooperation of these technical features, the optimization problem of the heating process of the sheet metal during the stamping process of a multi-station progressive die is solved. Through the numerical simulation method, the heating process of the sheet metal is considered in the numerical simulation process of the stamping process, ensuring the authenticity of the analysis results of each parameter during the sheet metal forming process, thereby optimizing the stamping process and improving the forming quality of the sheet metal.

[0037] In practical applications, first, a numerical model for the forming process and a numerical model for temperature field analysis are established. The numerical model for the forming process is used to simulate various physical phenomena during the sheet metal forming process, such as stress, strain, etc., while the numerical model for temperature field analysis is used to simulate the temperature changes of the sheet metal and the die during the forming process. The simulation results obtained through the numerical model of the forming process are used as the basic boundary conditions to conduct thermo-mechanical coupling analysis on the die to obtain the temperature distribution contour map of the die during the stamping process. Then, finite element result information is output through finite element analysis, and this result information includes the temperature distribution of the sheet metal, heat dissipation, etc.

[0038] Furthermore, the finite element result information and the numerical model of temperature field analysis are superimposed in a way of fusing prediction results to obtain a numerical model of the optimized temperature field for the forming process. Using this numerical model, a post-processing model for the numerical simulation results of the optimized temperature field of the stamping process is established to obtain a stress contour map of the sheet metal shape. By comparing these analysis results with the finite element result information, the temperature field data results of process optimization can be obtained. By judging whether these results meet the design requirements, if the design requirements are met, a temperature range value can be set for production; if the design requirements are not met, the preheating temperature value of the sheet metal, the die temperature value, and the time factor need to be changed for optimization iteration until the design requirements are met, and finally a temperature range value is obtained. Heat-treating the sheet metal according to the obtained temperature range value, thus completing the entire process optimization.

[0039] This method incorporates the heating process of the sheet metal into the numerical simulation of the stamping process through numerical simulation technology, ensuring the authenticity and accuracy of the analysis results, thereby realizing the optimization of the stamping process, improving the forming quality of the sheet metal, reducing energy consumption, enhancing material utilization rate, and shortening the production cycle.

[0040] Furthermore, the present application also proposes that in the simulation of the sheet metal forming process, based on the actual material parameters of the sheet metal, the die, and the initial temperature parameters of the sheet metal, mesh division is performed on the forming process of the sheet metal, and the entire process from the start to the end of the sheet metal forming is simulated. The finite element simulation results are used as the boundary conditions for the temperature field numerical simulation of process optimization to ensure the authenticity of the analysis results of various parameters during the stamping process.

[0041] In the simulation of the sheet metal forming process, based on the actual material parameters of the sheet metal, the die, and the initial temperature parameters of the sheet metal, mesh division is performed on the forming process of the sheet metal, and the entire process from the start to the end of the sheet metal forming is simulated. The finite element simulation results are used as the boundary conditions for the temperature field numerical simulation of process optimization to ensure the authenticity of the analysis results of various parameters during the stamping process. This technical solution ensures the authenticity and reliability of the analysis results of various parameters throughout the stamping process by detailedly simulating the entire process of sheet metal forming and using the finite element simulation results as boundary conditions. Through this method, the accuracy and reliability of the stamping process can be effectively improved, and the problem of untrue parameter analysis results in traditional methods is solved.

[0042] In the simulation of the sheet metal forming process, based on the actual material parameters of the sheet metal, the die, and the initial temperature parameters of the sheet metal, first, mesh division is performed on the forming process of the sheet metal. Mesh division is an important step in finite element analysis. Through reasonable mesh division, the deformation and stress distribution of the sheet metal during the forming process can be more accurately simulated. Then, using finite element simulation technology, the entire process from the start to the end of the sheet metal forming is simulated. During this process, parameters such as the deformation, stress, and temperature change of the sheet metal will be detailedly recorded and analyzed. Finally, the finite element simulation results are used as the boundary conditions for the temperature field numerical simulation of process optimization to further perform numerical simulation on the temperature field during the stamping process. In this way, the authenticity of the analysis results of various parameters during the stamping process can be ensured.

[0043] The technical solution of the present application ensures the authenticity and reliability of the analysis results of various parameters throughout the stamping process by detailedly simulating the entire process of sheet metal forming and using the finite element simulation results as boundary conditions. Compared with the prior art, the present application can effectively improve the accuracy and reliability of the stamping process and solve the problem of untrue parameter analysis results in traditional methods. Through this method, various parameters during the stamping process can be more accurately predicted and controlled, improving production efficiency and product quality.

[0044] Furthermore, the present application also proposes to perform a thermo-mechanical coupling analysis on the sheet metal and the die based on the stamping boundary condition parameters of the sheet metal forming process. By using the finite element simulation function of the temperature field software, the temperature change process generated by the die during stamping is simulated, so that the finite element results are fully coupled with the actual process. When the preheated sheet metal enters the die to start forming, the temperature transfer between the sheet metal and the die, as well as the heat dissipation of the sheet metal temperature during the stamping process, are simulated.

[0045] By performing a thermo-mechanical coupling analysis based on the stamping boundary condition parameters of the sheet metal forming process, the temperature transfer and heat dissipation between the sheet metal and the die can be accurately simulated. This process utilizes the finite element simulation function of the temperature field software to ensure that the simulation results are fully coupled with the actual process. In this way, when the preheated sheet metal enters the die to start forming, the temperature changes of the sheet metal and the die can be accurately predicted, and the heat dissipation of the sheet metal temperature during the stamping process can be effectively analyzed. This technical means solves the problems of temperature transfer and heat dissipation of the sheet metal during stamping through accurate temperature simulation and thermo-mechanical coupling analysis, ensures the reliability and accuracy of the forming process, and thus improves the quality of sheet metal forming.

[0046] On the basis of understanding the present application, the implementation manner of the newly added technical features can be further explained. Specifically, the thermo-mechanical coupling analysis can be achieved through the following steps:

[0047] 1. Establish the geometric models of the sheet metal and the die, and define their material properties, including thermodynamic parameters such as thermal conductivity and specific heat capacity.

[0048] 2. In the temperature field software, set the initial conditions and boundary conditions, including the preheating temperature of the sheet metal and the initial temperature of the die.

[0049] 3. Through the finite element method, mesh the contact surface of the sheet metal and the die to ensure the calculation accuracy.

[0050] 4. During the simulation process, calculate the heat transfer between the sheet metal and the die in real time, and record the temperature change data.

[0051] 5. Combine the actual process to calibrate and verify the simulation results to ensure the accuracy of the simulation data.

[0052] As a preferred implementation manner, different preheating temperatures and die temperatures can be adopted to perform multiple simulations to find the optimal temperature parameters. In addition, according to the characteristics of different sheet metal materials and die materials, parameters such as thermal conductivity and specific heat capacity can be adjusted to improve the simulation accuracy.

[0053] Through thermo-mechanical coupling analysis and finite element simulation of the temperature field, this application can accurately simulate the temperature transfer and heat dissipation between the sheet metal and the die. Compared with the prior art, the advantages of this application lie in its ability to more accurately predict the temperature changes of the sheet metal and the die during the forming process, thereby improving the forming quality, reducing energy consumption and material waste, and optimizing the production cycle. Thus, the reliability and accuracy of the forming process are ensured, and the overall effect of sheet metal forming is significantly improved.

[0054] Furthermore, this application also proposes that the temperature field simulation results during the sheet metal forming process include three parts: the sheet metal temperature, the heat dissipation on the sheet metal surface, and the die temperature.

[0055] The temperature field simulation results during the sheet metal forming process include the sheet metal temperature, the heat dissipation on the sheet metal surface, and the die temperature, and these technical features play their respective roles during the simulation process. The sheet metal temperature reflects the temperature change of the sheet metal during the forming process, the heat dissipation on the sheet metal surface reflects the heat exchange situation between the sheet metal and the environment during the forming process, and the die temperature reflects the temperature change of the die during the forming process. Through their mutual cooperation, these features can comprehensively and accurately simulate the temperature field change during the sheet metal forming process.

[0056] The sheet metal temperature can be measured by arranging temperature sensors on the surface and inside of the sheet metal and predicted by combining numerical simulation methods. The heat dissipation on the sheet metal surface can be simulated through heat conduction and convective heat transfer models to ensure the accuracy of heat dissipation. The die temperature can be measured by arranging temperature sensors inside the die and predicted by combining numerical simulation methods. Through these means, accurate data of the sheet metal temperature, the heat dissipation on the sheet metal surface, and the die temperature can be obtained respectively, thereby ensuring the accuracy of the temperature field simulation.

[0057] Through the above solution, all aspects of the temperature field during the sheet metal forming process can be comprehensively and accurately reflected, solving the accuracy problem of the temperature field simulation results, and thus providing reliable data support for subsequent process optimization. Compared with the prior art, by refining the simulation content of the temperature field, this application enables each key link of the temperature change to be accurately reflected, improving the reliability and accuracy of the simulation results, and contributing to improving the stability of the sheet metal forming process and the finished product quality.

[0058] Furthermore, this application also proposes that in the process optimization simulation of the sheet metal forming process, based on the temperature field simulation results of S3, the die is optimized, the forming process of the sheet metal is used as the boundary condition of the thermo-mechanical coupling analysis, the sheet metal is subjected to thermo-mechanical coupling analysis, the temperature interval values of each process optimization parameter are calculated, and at the same time, the temperature parameters of the simulation results in S1 are used as the basic boundary conditions of the analysis model in S4 for constraint.

[0059] By using the temperature field simulation results of S3 for the optimization simulation of the sheet metal forming process, the process of the die is optimized, which can ensure the consistency between the simulation results and the actual process. Taking the forming process of the sheet metal as the boundary condition of the thermo-mechanical coupling analysis can more accurately simulate the temperature change of the sheet metal during the forming process. The calculated temperature range values of each process optimization parameter contribute to further optimizing the sheet metal forming process. By using the temperature parameters of the simulation results in S1 as the basic boundary condition for constraint, the accuracy and reliability of the optimization process can be ensured. This method solves the temperature control problem in the sheet metal forming process through the optimization of the numerical simulation of the temperature field, making the process optimization more accurate and improving the quality and efficiency of sheet metal forming.

[0060] In the optimization simulation of the sheet metal forming process, based on the temperature field simulation results of S3, the process of the die is optimized. Specifically, first, the forming process of the sheet metal needs to be taken as the boundary condition of the thermo-mechanical coupling analysis. Thermo-mechanical coupling analysis refers to the analysis process in which the temperature field and stress field of the sheet metal interact under the action of heat and mechanics. Through this analysis, the temperature range values of each process optimization parameter can be calculated. If it is necessary to further improve the simulation accuracy, a finite element analysis software with higher accuracy can be considered, and the simulation results can be corrected by combining experimental data.

[0061] For example, as a preferred implementation, multiple different preheating temperature values, die temperature values, and time factors can be used for simulation, compare the temperature range values under different conditions, and select the optimal parameter combination for process optimization. By this method, the quality and efficiency of sheet metal forming can be effectively improved, and the energy consumption and cost in the production process can be reduced.

[0062] This application solves the temperature control problem in the sheet metal forming process through the optimization of the numerical simulation of the temperature field, making the process optimization more accurate. Compared with the prior art, the method of this application can more accurately simulate the temperature change of the sheet metal during the forming process, ensure the accuracy and reliability of the optimization process, and thus improve the quality and efficiency of sheet metal forming.

[0063] Furthermore, this application also proposes to simulate the forming results of the sheet metal forming process according to the temperature field simulation results extracted from S3, post-process the forming results, and extract and analyze the forming shapes of each forming step of the sheet metal.

[0064] In S5, based on the temperature field simulation results extracted from S3, the forming results of the sheet metal forming process are simulated, and the forming results are post-processed, and the forming shapes of each forming step of the sheet metal can be extracted. This can effectively analyze the shape change of the sheet metal during the forming process, thereby optimizing the entire forming process and improving the forming quality.

[0065] By using the temperature field simulation results extracted in S3 in S5, simulating the forming results of the sheet metal forming process, and post-processing the forming results, the forming shapes of each forming step of the sheet metal can be extracted. Specifically, the extracted forming shape data can be used to analyze the deformation characteristics of the sheet metal in different forming steps. For example, the forming results can be processed by finite element analysis software to obtain the stress and strain distribution of the sheet metal in each forming step. Further, based on these data, it can be determined whether there are defects in the forming process, such as cracking, wrinkling, etc., and the forming process parameters can be adjusted accordingly to optimize the forming quality.

[0066] This application can analyze in detail the shape change of the sheet metal during the forming process by simulating the forming results of the sheet metal forming process and post-processing the forming results. This analysis method not only improves the optimization efficiency of the forming process, but also significantly enhances the forming quality and reduces the defect rate during the production process. Compared with the prior art, the method of this application provides a more accurate and efficient optimization scheme for the sheet metal forming process by comprehensively considering the influence of the temperature field.

[0067] Further, this application also proposes to change the preheating temperature value of the sheet metal, the die temperature value and the time factor, and calculate the temperature range value of the sheet metal during the forming process in S2 by an optimization iteration method to optimize the temperature range value and improve the forming quality of the sheet metal.

[0068] This application calculates and optimizes the temperature range value of the sheet metal during the forming process by adjusting the preheating temperature value of the sheet metal, the die temperature value and the time factor and using an optimization iteration method. The interaction of these technical features can gradually optimize the temperature range value during the forming process, thereby improving the forming quality of the sheet metal. By this method, the problem of the forming quality of the sheet metal can be effectively solved, and the optimization and stability of the forming process can be ensured.

[0069] Further, changing the preheating temperature value of the sheet metal can be achieved by controlling the temperature setting of the heating equipment. For example, an electric heater or an induction heating device can be used to set an appropriate preheating temperature according to the characteristics of the sheet metal material. The adjustment of the die temperature value can be achieved by controlling the die temperature control system to ensure that the die remains within the set temperature range during the forming process. The adjustment of the time factor can be achieved by controlling each time node in the forming process, such as the heating time, the cooling time, etc., to achieve optimization.

[0070] By the optimization iteration method, these parameters can be continuously adjusted and optimized to gradually obtain the optimal temperature range value of the sheet metal. Specifically, in each iteration, the preheating temperature, the die temperature and the time factor can be adjusted according to the forming results until the forming quality of the sheet metal meets the expected requirements. As a preferred implementation manner, a method combining computer simulation and experimental verification can be used to quickly find the optimal temperature range value.

[0071] Through the above technical solutions, this application can significantly improve the forming quality of sheet metal and solve the problem of unstable forming quality of sheet metal in the prior art. Compared with the existing hot stamping or traditional cold stamping processes, the method of this application has advantages in terms of energy consumption, material utilization rate and production cycle. It can reduce energy consumption and costs while maintaining high material strength, and improve production efficiency. Therefore, this application has significant advantages in the optimization and stability of sheet metal forming processes.

[0072] Furthermore, this application also proposes to calculate the sheet metal temperature range value during the forming process by changing the sheet metal preheating temperature value, die temperature value and time factor, and optimize the temperature range value to improve the forming quality of the sheet metal by using the optimization iteration method.

[0073] By changing the sheet metal preheating temperature value, die temperature value and time factor, the sheet metal temperature range value during the forming process is calculated by using the optimization iteration method. This method can optimize the temperature range value, thereby improving the forming quality of the sheet metal. Through multiple iterative adjustments, the best temperature control effect can be achieved in actual production, ensuring good quality and stability of the sheet metal during the forming process.

[0074] Furthermore, by changing the sheet metal preheating temperature value, die temperature value and time factor, the optimization iteration method can be realized through the following steps: First, set the initial sheet metal preheating temperature value, die temperature value and time factor, and perform a preliminary calculation of the temperature range value. Then, use the numerical simulation method to simulate the temperature change of the sheet metal during the forming process to obtain the preliminary temperature range value. Next, carry out actual production according to the preliminary temperature range value, and adjust the sheet metal preheating temperature value, die temperature value and time factor through the feedback of the actual production results for the next round of optimization iteration. Repeat this process multiple times until the temperature range value meets the design requirements, ensuring the best temperature control effect of the sheet metal during the forming process.

[0075] This application calculates the sheet metal temperature range value during the forming process by optimizing the sheet metal preheating temperature value, die temperature value and time factor, optimizes the temperature range value, and improves the forming quality of the sheet metal. Compared with the prior art, this application can achieve more precise temperature control in actual production, ensure stable quality and good performance of the sheet metal during the forming process, and solve the problem of unstable forming quality of sheet metal in the prior art.

[0076] Furthermore, this application also proposes to change the sheet metal preheating temperature value, die temperature value and time factor, calculate the sheet metal temperature range value during the forming process by using the optimization iteration method, optimize the temperature range value, and improve the forming quality of the sheet metal.

[0077] This technical solution calculates the temperature range value of the sheet metal during the forming process by adjusting the preheating temperature of the sheet metal, the die temperature, and the time factor, and adopting an optimized iterative method. These technical features cooperate with each other to optimize the temperature control of the sheet metal, thereby improving the forming quality of the sheet metal. Through this solution, the problem of temperature control of the sheet metal during the stamping forming process can be effectively solved, ensuring the stability and consistency of various parameters of the sheet metal during the forming process, and improving production efficiency and finished product quality.

[0078] In this technical solution, changing the preheating temperature value of the sheet metal, the die temperature value, and the time factor are the key steps to achieve the optimization of the temperature range value. Specifically, these steps can be achieved through the following methods:

[0079] 1. Adjustment of preheating temperature: Different preheating equipment and methods can be adopted, such as using electric heating, induction heating, or infrared heating to preheat the sheet metal. By adjusting the parameters of the heating equipment, the preheating temperature is controlled to achieve the best preheating effect.

[0080] 2. Control of die temperature: The temperature of the die can be controlled by setting heating or cooling devices inside the die, such as electric heating rods, cooling water channels, etc. By adjusting the working parameters of these devices, the die is maintained within a suitable temperature range to ensure the stability of the temperature during the forming process.

[0081] 3. Optimization of time factor: The temperature control during the forming process can be optimized by adjusting various time parameters during the forming process, such as preheating time, forming time, and cooling time. By precisely controlling these time parameters, it is ensured that the temperature change of the sheet metal during the forming process meets the expectations.

[0082] In summary, this application calculates and optimizes the temperature range value of the sheet metal during the forming process by changing the preheating temperature value of the sheet metal, the die temperature value, and the time factor, and adopting an optimized iterative method, thereby improving the forming quality of the sheet metal. Compared with the prior art, this solution can more effectively control the temperature of the sheet metal during the stamping forming process, ensure the stability and consistency of the forming process, and improve production efficiency and finished product quality.

[0083] Furthermore, this application also proposes to change the preheating temperature value of the sheet metal, the die temperature value, and the time factor, calculate the temperature range value of the sheet metal during the forming process through an optimized iterative method, optimize the temperature range value, and improve the forming quality of the sheet metal.

[0084] By adjusting the preheating temperature value of the sheet metal, the die temperature value and the time factor, the temperature change of the sheet metal during the forming process can be effectively controlled. The optimization iteration method ensures the accurate calculation of the temperature range value of the sheet metal, thus optimizing the forming quality of the sheet metal. This method solves the problem of the influence of temperature change on the forming quality during the sheet metal forming process by continuously iterating and optimizing the temperature parameters. By means of this technical means, the forming quality problems caused by temperature change during the sheet metal forming process can be effectively addressed. The optimization iteration method ensures that each temperature parameter is accurately adjusted, thus achieving high-quality sheet metal forming.

[0085] Changing the preheating temperature value of the sheet metal can be achieved by controlling the temperature setting of the preheating device, and the adjustment of the die temperature value can be completed by the die heating or cooling system. The adjustment of the time factor can be achieved by controlling the heating and forming time. For example, the preheating temperature value can be set between 300°C and 600°C, the die temperature value can be set between 150°C and 450°C, and the time factor can be adjusted according to the specific material and process requirements. The optimization iteration method can be realized by computer simulation software. By simulating the forming process under different temperature parameters, the optimal temperature range value can be found. Further, in actual production, the temperature parameters can be monitored and adjusted in real time through sensors and control systems to ensure the stability and consistency of the forming process.

[0086] This application can effectively improve the forming quality of the sheet metal by optimizing the preheating temperature value of the sheet metal, the die temperature value and the time factor, and solves the problem of the influence of temperature change on the forming quality during the sheet metal forming process. Compared with the prior art, the method of this application can reduce energy consumption and costs, shorten the production cycle, and improve the material utilization rate while increasing the material strength, thus achieving efficient and economical production.

[0087] The above has described in detail an embodiment of the present invention, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the present invention application shall still fall within the scope covered by the patent of the present invention.

Claims

1. A multi-station stamping process optimization method based on intelligent temperature control, characterized in that: According to the stamping forming processing characteristics of multi-station progressive dies, combined with the numerical simulation method according to the stamping process characteristics, the heating process of the sheet metal is considered in the numerical simulation process of the stamping forming process, which specifically includes the following steps: S1: Establish a numerical model of the forming process and a numerical model for temperature field analysis. Obtain the simulation results of the forming process numerical model through the forming process numerical model; S2: Take the simulation results of the forming process numerical model in S1 as the basic boundary conditions, conduct thermal-mechanical coupling analysis on the die, and obtain the finite element contour map; S3: Output the finite element result information through finite element analysis according to the finite element contour map in S2; S4: Use the finite element result information and superimpose it with the temperature field analysis numerical model in S1 to obtain the optimized temperature field numerical model of the forming process; S5: Establish a post-processing model for the numerical simulation results of the optimized stamping process temperature field to obtain the shape stress contour map of the sheet metal; S6: Compare the analysis results of S5 with the analysis results of S3 to obtain the temperature field data results of process optimization, and judge whether the analysis results of S5 meet the design requirements. If they meet the design requirements, enter S7. If the analysis results do not meet the design requirements, execute S8; S7: Set the temperature interval value for production according to the temperature field data results in S6; S8: According to the analysis results of S6, change the preheating temperature value of the sheet metal, the die temperature value and the time factor, and perform optimization iteration until the design requirements are met, and obtain the temperature interval value; S9: Perform heat treatment on the sheet metal according to the temperature interval value obtained in S8.

2. The multi-station stamping process optimization method based on intelligent temperature control according to claim 1, wherein: In S1, in the sheet metal forming process simulation, based on the actual material parameters of the sheet metal, the initial temperature parameters of the die and the sheet metal, the forming process of the sheet metal is meshed, and the whole process from the start to the end of the sheet metal forming is simulated. The finite element simulation results are used as the boundary conditions for the temperature field numerical simulation of process optimization to ensure the authenticity of the analysis results of each parameter during the stamping process.

3. A method for optimizing a multi-station stamping process based on intelligent temperature control according to claim 1, characterized in that: In S2, based on the stamping boundary condition parameters of the sheet metal forming process, thermal-mechanical coupling analysis is performed on the sheet metal and the die. Using the finite element simulation function of the temperature field software, the temperature change process generated by the die during the stamping process is simulated, so that the finite element results are fully coupled with the actual process. Simulate the temperature transfer between the sheet metal and the die when the sheet metal enters the die to start forming after preheating, and the heat dissipation of the sheet metal temperature during the stamping process.

4. A method for optimizing a multi-station stamping process based on intelligent temperature control according to claim 1, characterized in that: In S3, the temperature field simulation results during the sheet metal forming process include three parts: sheet metal temperature, heat dissipation on the sheet metal surface, and die temperature.

5. A method for optimizing a multi-station stamping process based on intelligent temperature control according to claim 1, characterized in that: In S4, in the optimized simulation of the sheet metal forming process, based on the temperature field simulation results of S3, process optimization is performed on the die. The forming process of the sheet metal is used as the boundary condition for thermal-mechanical coupling analysis, and thermal-mechanical coupling analysis is performed on the sheet metal to calculate the temperature interval values of each process optimization parameter. At the same time, the temperature parameters of the simulation results in S1 are used as the basic boundary conditions of the analysis model in S4 for constraint.

6. The multi-station stamping process optimization method based on intelligent temperature control according to claim 1, wherein: In S5, according to the temperature field simulation results extracted in S3, the forming results of the sheet metal forming process are simulated, and the forming results are post-processed to extract and analyze the forming shapes of each forming step of the sheet metal.

7. A method for optimizing a multi-station stamping process based on intelligent temperature control according to claim 1, characterized in that: Change the preheating temperature value of the sheet metal, the die temperature value and the time factor, and calculate the sheet metal temperature range value during the forming process in S2 by means of optimization iteration to optimize the temperature range value and improve the forming quality of the sheet metal.

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