A method for evaluating the effectiveness of standard parts design

Abstract

The present invention discloses a method for evaluating the effectiveness of standard part design, comprising: determining morphological design parameters, material properties, and a production process flow according to a standard part design scheme; determining original morphological parameters and material properties of the original processing material according to the production process flow, and applying the original morphological parameters and material properties to a finite element model; simulating the production process flow through process simulation software to obtain state parameters of the standard part processing and forming full cycle; driving the finite element model to perform dynamic performance analysis of the standard part processing and forming based on the state parameters to obtain multiple performance indicators of the standard part; and evaluating multiple performance indicators based on preset performance indicator requirements to obtain an evaluation result of the effectiveness of the standard part design. The present invention extracts and evaluates the effectiveness of the standard part design through physical simulation of the standard part production process and finite element analysis of the full cycle of the production process, making it convenient for designers to optimize the standard part during the design phase.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent design, and in particular relates to a method for evaluating the effectiveness of standard part design. Background Art

[0002] With the rapid development of industrial manufacturing technology, the performance and reliability requirements for standard parts are increasing. As fundamental components in industrial products, the design and manufacturing quality of standard parts directly impacts the performance and safety of the final product. Traditional standard part design methods often rely on empirical judgment and physical testing. These methods are not only time-consuming and labor-intensive, but also costly and unable to quickly respond to design changes and optimization needs. Furthermore, traditional design processes lack comprehensive consideration of the entire production lifecycle, resulting in the possibility that the designed standard parts will encounter unexpected problems in actual production.

[0003] In modern industrial production, the emergence of physical simulation and finite element analysis (FEA) technologies has provided new solutions for standard component design. Physical simulation can simulate actual production environments and conditions, predicting the behavior and response of materials during processing. Finite element analysis, on the other hand, numerically simulates complex physical phenomena, providing detailed data such as stress, strain, and temperature distribution, helping engineers gain a deeper understanding of material and structural performance.

[0004] Based on this technical background, this paper proposes a method for evaluating the design effectiveness of standard parts that combines physical simulation and finite element analysis. This method simulates the production process of standard parts and performs finite element analysis of the entire production process, thereby extracting and evaluating the effectiveness of standard part designs. This method not only improves design efficiency and reduces testing costs, but also identifies potential problems during the design phase, providing a scientific basis for optimizing standard parts. Summary of the Invention

[0005] In view of this, the present invention proposes a method for evaluating the effectiveness of standard parts design. The present invention extracts and evaluates the effectiveness of standard parts design through physical simulation of the production process of standard parts and finite element analysis of the entire production process, which facilitates the optimization of standard parts in the design stage.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] The present invention provides a method for evaluating the effectiveness of standard part design, comprising:

[0008] Determine the corresponding morphological design parameters, material properties and production process flow of standard parts according to the standard parts design plan;

[0009] Determine the original morphological parameters and material properties of the original processing material according to the production process, and establish a finite element model to apply the original morphological parameters and material properties to the finite element model;

[0010] The production process is simulated by process simulation software to obtain the state parameters of the entire processing cycle of standard parts;

[0011] Based on the state parameters, the finite element model is driven into the dynamic performance analysis of the processing of standard parts to obtain multiple performance indicators of the standard parts;

[0012] Based on the preset performance index requirements, multiple performance indicators are evaluated to obtain the evaluation results of the effectiveness of standard part design.

[0013] Preferably, the production process is simulated by process simulation software to obtain the state parameters of the full cycle of standard parts processing and forming, including:

[0014] The process simulation software Deform 3D is used to simulate and analyze the equivalent stress, equivalent strain, and temperature distribution of the original processing material during each pass of the processing and forming process;

[0015] Create a 3D geometric model of the original processing material in Deform 3D, and mesh the model to create a grid system;

[0016] Input detailed properties of the original processed material, including thermophysical properties and flow stress data;

[0017] According to the production process, set the process parameters required for simulation, including forging temperature, deformation rate and reduction;

[0018] The physical simulation process is set to comply with the principle of physical similarity, using the same material composition as in actual production, and setting the deformation temperature and deformation degree in the physical simulation to be consistent with the actual production conditions to ensure the reliability of the simulation results;

[0019] Run Deform 3D software to perform the simulation process, simulating the physical behavior of the original processing material in each pass of the processing and forming process, and record the equivalent stress, equivalent strain, strain rate and temperature distribution of each pass as state parameters during the simulation process.

[0020] Preferably, the Deform 3D software performs the simulation process to calculate the equivalent stress, equivalent strain, strain rate and temperature distribution in the following manner:

[0021] Based on the 3D geometric model of the workpiece at each pass in Deform 3D and the grid system created under its corresponding mesh division, the equivalent stress σ in Deform 3D is calculated based on the VonMises stress criterion for the unidirectional tensile or compressive stress corresponding to each unit during the processing. eq :

[0022]

[0023] Among them, σ x , σ y and σ z is the normal stress in each direction, τ xy , τ yz and τ zx is the shear stress in each direction;

[0024] The equivalent strain ε corresponding to each unit during the processing is calculated by the following formula eq :

[0025]

[0026] Among them, ε x , ε y and ε z is the normal strain in each direction, γ xy , γ yz and γ zx is the shear strain in each direction;

[0027] In the grid system, the temperature of each unit during the processing is approximated by the interpolation function, and the heat conduction equation of each unit is solved and assembled into a global equation group, and finally the temperature distribution of the entire workpiece is obtained, where the heat conduction equation is:

[0028]

[0029] Where ρ is the material density, c p is the material specific heat capacity, T is the material temperature, t is the temperature propagation time, k is the material thermal conductivity, and Q is the heat source term;

[0030] When the temperature distribution inside the workpiece is known, the Arrhenius relationship of the hyperbolic sine function is used to construct the high-temperature deformation flow stress constitutive equation:

[0031]

[0032] in, is the strain rate, σ pis the peak flow stress, A is the reference value of the flow stress of the material at a given temperature and strain rate, B is a constant related to the material's resistance to plastic deformation, n is the strain hardening exponent or an index of the material's hardening behavior, K is the deformation activation energy, R is the gas constant, and T is the absolute temperature.

[0033] Preferably, the finite element model is driven to perform dynamic performance analysis of the processing and forming of the standard part based on the state parameters, and multiple performance indicators of the standard part are obtained, including:

[0034] Determine the equivalent stress, equivalent strain and temperature distribution of the original processing material during the processing and forming process based on the state parameters;

[0035] Construct a phased finite element model for each phased workpiece formed after each processing pass;

[0036] The equivalent stress, equivalent strain and temperature distribution corresponding to each processing pass are used as input, and the equivalent stress and equivalent strain are applied to the model as boundary conditions or loads. At the same time, the temperature distribution is used as a thermal load. According to the actual sequence and time interval of the processing process, the dynamic response of the material in the actual processing process is simulated;

[0037] Based on the nonlinear behavior of the material, the stress, strain and displacement physical quantities of the material under different states are calculated to simulate the dynamic behavior of the standard parts during the processing and forming process;

[0038] Extract key performance indicators based on dynamic behavior analysis results, including maximum stress, maximum strain, deformation, and temperature change;

[0039] Based on the extracted performance indicators, multiple properties of standard parts are calculated, including load-bearing capacity, stiffness, fatigue life and corrosion resistance.

[0040] Preferably, multiple properties of the standard component are calculated based on the extracted performance indicators, including load-bearing capacity, stiffness, fatigue life and corrosion resistance, including:

[0041] Using the maximum stress and strain values ​​obtained from finite element analysis, the simulation results are compared with the fatigue properties of the material to predict the cycle of fatigue failure under cyclic loading. The fatigue life of the standard part is calculated by combining the material's SN curve and Smith correction factor.

[0042] Based on the surface treatment and coating conditions of the standard parts in the standard parts design plan, according to the chemical composition of the material and the working environment, the corrosion rate model is used to predict the corrosion rate of the material in a specific medium and determine the corrosion resistance of the standard parts;

[0043] Determine the load-bearing capacity of the standard part by comparing the maximum stress obtained from the simulation with the yield strength or tensile strength of the material;

[0044] The finite element model is used to analyze the deformation of the standard parts under the preset load and calculate their stiffness.

[0045] The present invention has achieved at least the following beneficial effects:

[0046] 1. Through physical simulation of the production process of standard parts and finite element analysis of the entire production process, the effectiveness of standard part design is extracted and evaluated, facilitating the optimization of standard parts during the design stage.

[0047] 2. A comprehensive evaluation of the effectiveness of standard parts design has been achieved, with overall beneficial effects including improving design accuracy, optimizing production processes, reducing production costs and risks, enhancing product reliability and safety, improving market competitiveness, and promoting environmental sustainability.

[0048] 3. A comprehensive evaluation of the effectiveness of standard parts design has been achieved, which has overall improved the accuracy and reliability of the design, optimized the production process, reduced production costs and risks, enhanced the market competitiveness of the product, and complied with sustainable development and environmental protection requirements.

[0049] Other advantages, objectives and features of the present invention will be described in the following description and will be apparent to those skilled in the art to some extent, or those skilled in the art can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to make the purpose, technical solutions and beneficial effects of the present invention more clear, the present invention provides the following drawings for illustration:

[0051] Figure 1 The present invention provides a flowchart of a method for evaluating the effectiveness of standard component design according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0053] The present invention provides a method for evaluating the effectiveness of standard parts design, referring to Figure 1 ,include:

[0054] Determine the corresponding morphological design parameters, material properties and production process flow of standard parts according to the standard parts design plan;

[0055] Determine the original morphological parameters and material properties of the original processing material according to the production process, and establish a finite element model to apply the original morphological parameters and material properties to the finite element model;

[0056] The production process is simulated by process simulation software to obtain the state parameters of the entire processing cycle of standard parts;

[0057] Based on the state parameters, the finite element model is driven into the dynamic performance analysis of the processing of standard parts to obtain multiple performance indicators of the standard parts;

[0058] Based on the preset performance index requirements, multiple performance indicators are evaluated to obtain the evaluation results of the effectiveness of standard part design.

[0059] The working principle and beneficial effects of the above technical solution are as follows: First, the morphological design parameters, material properties, and production process flow of the standard parts are determined based on the standard part design plan. This step ensures the accuracy and adaptability of the design and provides basic data for subsequent simulation and evaluation. Next, the original morphological parameters and material properties of the original processing material are determined based on the production process flow. A finite element model is established and these parameters are applied to the model. By simulating actual production conditions, a basis for predicting the performance of the product in actual use is provided. The production process flow is simulated using process simulation software to obtain the state parameters of the standard part's entire processing cycle, including equivalent stress, equivalent strain, and temperature distribution. This simulation process helps identify potential problems in the production process, allowing for early adjustment and optimization. Based on these state parameters, the finite element model is driven to perform dynamic performance analysis of the standard part's processing and forming, obtaining multiple performance indicators of the standard part, such as maximum stress, maximum strain, deformation, and temperature change. The analysis results are directly related to the product's load-bearing capacity, stiffness, fatigue life, and corrosion resistance, providing key data for product reliability and safety. Finally, multiple performance indicators are evaluated based on preset performance index requirements to obtain an evaluation result of the effectiveness of the standard part design, ensuring that the product design meets the established performance standards and user needs. Overall, the technical solution of the present invention extracts and evaluates the effectiveness of the standard part design through physical simulation of the standard part production process and finite element analysis of the entire production process cycle, facilitating the optimization of standard parts during the design phase. This method not only improves design efficiency and product quality, reduces production costs and risks, but also enhances the market competitiveness of the product and user satisfaction.

[0060] In a preferred embodiment, the production process is simulated by process simulation software to obtain the state parameters of the full cycle of standard part processing and forming, including:

[0061] The process simulation software Deform 3D is used to simulate and analyze the equivalent stress, equivalent strain, and temperature distribution of the original processing material during each pass of the processing and forming process;

[0062] Create a 3D geometric model of the original processing material in Deform 3D, and mesh the model to create a grid system;

[0063] Input detailed properties of the original processed material, including thermophysical properties and flow stress data;

[0064] According to the production process, set the process parameters required for simulation, including forging temperature, deformation rate and reduction;

[0065] The physical simulation process is set to comply with the principle of physical similarity, using the same material composition as in actual production, and setting the deformation temperature and deformation degree in the physical simulation to be consistent with the actual production conditions to ensure the reliability of the simulation results;

[0066] Run Deform 3D software to perform the simulation process, simulating the physical behavior of the original processing material in each pass of the processing and forming process, and record the equivalent stress, equivalent strain, strain rate and temperature distribution of each pass as state parameters during the simulation process.

[0067] The working principle and beneficial effects of the above technical solution are as follows: First, Deform 3D software is used to simulate and analyze the equivalent stress, equivalent strain, and temperature distribution of the raw material during each forming process. This allows prediction of stress concentration and uneven deformation that may occur during actual processing, enabling design optimization to improve the structural integrity and performance of the product. Next, a 3D geometric model of the raw material is created in Deform 3D, and meshing is performed to create a grid system. A detailed physical simulation is performed based on the precise geometric model to ensure the accuracy of the simulation results. This provides a detailed physical model for subsequent simulation analysis. Detailed properties of the raw material, including thermophysical properties and flow stress data, are input, allowing the simulation process to more accurately reflect the actual material behavior. This improves the reliability of the simulation results and ensures their consistency with actual production conditions. The required process parameters, including forging temperature, deformation rate, and reduction, are set according to the production process flow, facilitating simulation of actual production conditions. This makes the simulation results more closely aligned with actual production conditions, helping to identify potential production issues and implement proactive adjustments. The physical simulation process adheres to the principle of physical similarity, using the same material composition as in actual production. The deformation temperature and degree in the physical simulation are set to align with actual production conditions to ensure the reliability and validity of the simulation results, thereby improving the accuracy of the simulation and enabling its use in actual production guidance and process optimization. Finally, the simulation is executed using Deform 3D software, simulating the physical behavior of the raw material during each forming pass. The simulation records the equivalent stress, equivalent strain, strain rate, and temperature distribution of each pass as state parameters. This enables detailed recording and analysis of key process parameters, providing detailed data support for subsequent performance evaluation and facilitating the precise evaluation and optimization of standard component designs. This technical solution enables a comprehensive assessment of the effectiveness of standard component designs, improving overall design accuracy and reliability, optimizing production processes, reducing production costs and risks, enhancing product market competitiveness, and complying with sustainable development and environmental protection requirements. This approach allows for a comprehensive performance evaluation of standard components during the design phase, ensuring high performance and longevity in actual applications, while also providing a scientific basis for continuous product improvement and innovation.

[0068] In a preferred embodiment, the Deform 3D software performs a simulation process to calculate equivalent stress, equivalent strain, strain rate, and temperature distribution in the following manner:

[0069] Based on the 3D geometric model of the workpiece at each pass in Deform 3D and the grid system created under its corresponding mesh division, the equivalent stress σ in Deform 3D is calculated based on the VonMises stress criterion for the unidirectional tensile or compressive stress corresponding to each unit during the processing. eq :

[0070]

[0071] Among them, σ x , σ y and σ z is the normal stress in each direction, τ xy , τ yz and τ zx is the shear stress in each direction;

[0072] The equivalent strain ε corresponding to each unit during the processing is calculated by the following formula eq :

[0073]

[0074] Among them, ε x , ε y and ε z is the normal strain in each direction, γ xy , γ yz and γ zx is the shear strain in each direction;

[0075] In the grid system, the temperature of each unit during the processing is approximated by the interpolation function, and the heat conduction equation of each unit is solved and assembled into a global equation group, and finally the temperature distribution of the entire workpiece is obtained, where the heat conduction equation is:

[0076]

[0077] Where ρ is the material density, c p is the material specific heat capacity, T is the material temperature, t is the temperature propagation time, k is the material thermal conductivity, and Q is the heat source term;

[0078] When the temperature distribution inside the workpiece is known, the Arrhenius relationship of the hyperbolic sine function is used to construct the high-temperature deformation flow stress constitutive equation:

[0079]

[0080] in, is the strain rate, σ pis the peak flow stress, A is the reference value of the flow stress of the material at a given temperature and strain rate, B is a constant related to the material's resistance to plastic deformation, n is the strain hardening exponent or an index of the material's hardening behavior, K is the deformation activation energy, R is the gas constant, and T is the absolute temperature.

[0081] In a preferred embodiment, the finite element model is driven into the processing and forming dynamic performance analysis of the standard part based on the state parameters, and multiple performance indicators of the standard part are obtained, including:

[0082] Determine the equivalent stress, equivalent strain and temperature distribution of the original processing material during the processing and forming process based on the state parameters;

[0083] Construct a phased finite element model for each phased workpiece formed after each processing pass;

[0084] The equivalent stress, equivalent strain and temperature distribution corresponding to each processing pass are used as input, and the equivalent stress and equivalent strain are applied to the model as boundary conditions or loads. At the same time, the temperature distribution is used as a thermal load. According to the actual sequence and time interval of the processing process, the dynamic response of the material in the actual processing process is simulated;

[0085] Based on the nonlinear behavior of the material, the stress, strain and displacement physical quantities of the material under different states are calculated to simulate the dynamic behavior of the standard parts during the processing and forming process;

[0086] Extract key performance indicators based on dynamic behavior analysis results, including maximum stress, maximum strain, deformation, and temperature change;

[0087] Based on the extracted performance indicators, multiple properties of standard parts are calculated, including load-bearing capacity, stiffness, fatigue life and corrosion resistance.

[0088] The working principle and beneficial effects of the above technical solution are as follows: The equivalent stress, equivalent strain, and temperature distribution of the raw material during the machining process are determined. These state parameters are obtained using the process simulation software Deform 3D. This process accurately captures the physical state of the material during the actual machining process, providing an accurate physical model for subsequent performance analysis and evaluation. Next, a stage-by-stage finite element model is constructed for the workpiece after each machining pass. This step simulates the actual machining process by creating a detailed model, enabling detailed analysis of material behavior at each stage and predicting potential problems and improvement measures. The equivalent stress, equivalent strain, and temperature distribution corresponding to each pass are then applied to the model as boundary conditions or loads to simulate the dynamic response of the material during the actual machining process. This accurately simulates the material's response during the actual machining process and provides reliable data for subsequent performance evaluation. Based on the material's nonlinear behavior, the stress, strain, and displacement physical quantities of the material under different states are calculated to simulate the dynamic behavior of a standard part during the machining process. This enables prediction of material behavior under complex loading conditions. Finally, key performance indicators are extracted based on the results of dynamic behavior analysis, including maximum stress, maximum strain, deformation, and temperature change, and multiple performance indicators of standard parts, such as load-bearing capacity, stiffness, fatigue life, and corrosion resistance, are calculated based on these indicators. This enables a comprehensive evaluation of the performance of standard parts to ensure that the design meets established performance requirements and safety standards. Combining these steps, the technical solution of the present invention achieves a comprehensive evaluation of the effectiveness of standard part design, and its overall beneficial effects include improving design accuracy, optimizing production processes, reducing production costs and risks, enhancing product reliability and safety, improving market competitiveness, and promoting environmental sustainability. Through this method, we can conduct a comprehensive performance evaluation of standard parts during the design phase to ensure the high performance and long life of the product in actual applications, while also providing a scientific basis for continuous improvement and innovation of the product.

[0089] In a preferred embodiment, multiple properties of the standard component are calculated based on the extracted performance indicators, including load-bearing capacity, stiffness, fatigue life, and corrosion resistance, including:

[0090] Using the maximum stress and strain values ​​obtained from finite element analysis, the simulation results are compared with the fatigue properties of the material to predict the cycle of fatigue failure under cyclic loading. The fatigue life of the standard part is calculated by combining the material's SN curve and Smith correction factor.

[0091] Based on the surface treatment and coating conditions of the standard parts in the standard parts design plan, according to the chemical composition of the material and the working environment, the corrosion rate model is used to predict the corrosion rate of the material in a specific medium and determine the corrosion resistance of the standard parts;

[0092] Determine the load-bearing capacity of the standard part by comparing the maximum stress obtained from the simulation with the yield strength or tensile strength of the material;

[0093] The finite element model is used to analyze the deformation of the standard parts under the preset load and calculate their stiffness.

[0094] The working principle and beneficial effects of the above technical solution are as follows: Using the maximum stress and strain values ​​obtained from finite element analysis, these simulation results are compared with the fatigue properties of the material. By combining the material's SN curve and Smith correction factor, the fatigue failure cycle of the standard component under cyclic loading is predicted, and the fatigue life of the standard component is calculated. This ensures that the standard component will not fail due to fatigue within its expected service life, thereby improving product reliability and safety. Next, based on the standard component's surface treatment and coating in the standard component design, a corrosion rate model is used to predict the material's corrosion rate in a specific medium based on the material's chemical composition and operating environment, and to determine the standard component's corrosion resistance. This step allows the durability of the standard component in a specific environment to be evaluated, allowing the most appropriate material and surface treatment method to be selected, extending the product's service life and beneficially improving the product's environmental adaptability and durability. Then, by comparing the maximum stress obtained from the simulation with the material's yield strength or tensile strength, the load-bearing capacity of the standard component is determined, ensuring that the standard component will not undergo plastic deformation or failure under the maximum expected load, thereby improving the product's structural integrity and safety. Finally, the finite element model is used to analyze the deformation of the standard component under a preset load and calculate its stiffness. This allows the stability and accuracy of standard parts in actual applications to be assessed, ensuring that they maintain their intended shape and position when subjected to stress, meeting functional requirements. Combining the above steps, the technical solution of the present invention provides a method for comprehensively evaluating the performance of standard parts, with overall beneficial effects including improving design accuracy, optimizing material selection, reducing production costs and risks, enhancing product market competitiveness, and promoting environmental sustainability. This method allows for a comprehensive performance evaluation of standard parts during the design phase, ensuring high performance and long life in actual applications, while also providing a scientific basis for continuous product improvement and innovation.

[0095] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. A method for evaluating the effectiveness of standard part design, characterized in that: include: Determine the corresponding morphological design parameters, material properties and production process flow of standard parts according to the standard parts design plan; Determine the original morphological parameters and material properties of the original processing material according to the production process, and establish a finite element model to apply the original morphological parameters and material properties to the finite element model; The production process is simulated by process simulation software to obtain the state parameters of the entire processing cycle of standard parts; Based on the state parameters, the finite element model is driven into the dynamic performance analysis of the processing of standard parts to obtain multiple performance indicators of the standard parts; Based on the preset performance index requirements, multiple performance indicators are evaluated to obtain the evaluation results of the effectiveness of standard part design.

2. A method for evaluating the effectiveness of standard component design according to claim 1, characterized in that: The production process is simulated by process simulation software, and the state parameters of the whole cycle of standard parts processing and forming are obtained, including: The process simulation software Deform 3D is used to simulate and analyze the equivalent stress, equivalent strain, and temperature distribution of the original processing material during each pass of the processing and forming process; Create a 3D geometric model of the original processing material in Deform 3D, and mesh the model to create a grid system; Input detailed properties of the original processed material, including thermophysical properties and flow stress data; According to the production process, set the process parameters required for simulation, including forging temperature, deformation rate and reduction; The physical simulation process is set to comply with the principle of physical similarity, using the same material composition as in actual production, and setting the deformation temperature and deformation degree in the physical simulation to be consistent with the actual production conditions to ensure the reliability of the simulation results; Run Deform 3D software to perform the simulation process, simulating the physical behavior of the original processing material in each pass of the processing and forming process, and record the equivalent stress, equivalent strain, strain rate and temperature distribution of each pass as state parameters during the simulation process.

3. A method for evaluating the effectiveness of standard component design according to claim 2, characterized in that: Deform 3D software performs simulations to calculate equivalent stress, equivalent strain, strain rate, and temperature distribution using the following methods: Based on the 3D geometric model of the workpiece at each pass in Deform 3D and the grid system created under its corresponding mesh division, the equivalent stress σ in Deform 3D is calculated based on the VonMises stress criterion for the unidirectional tensile or compressive stress corresponding to each unit during the processing. eq : Among them, σ x , σ y and σ z is the normal stress in each direction, τ xy , τ yz and τ zx is the shear stress in each direction; The equivalent strain ε corresponding to each unit during the processing is calculated by the following formula eq : Among them, ε x , ε y and ε z is the normal strain in each direction, γ xy , γ yz and γ zx is the shear strain in each direction; In the grid system, the temperature of each unit during the processing is approximated by the interpolation function, and the heat conduction equation of each unit is solved and assembled into a global equation group, and finally the temperature distribution of the entire workpiece is obtained, where the heat conduction equation is: Where ρ is the material density, c p is the material specific heat capacity, T is the material temperature, t is the temperature propagation time, k is the material thermal conductivity, and Q is the heat source term; When the temperature distribution inside the workpiece is known, the Arrhenius relationship of the hyperbolic sine function is used to construct the high-temperature deformation flow stress constitutive equation: in, is the strain rate, σ p is the peak flow stress, A is the reference value of the flow stress of the material at a given temperature and strain rate, B is a constant related to the material's resistance to plastic deformation, n is the strain hardening exponent or an index of the material's hardening behavior, K is the deformation activation energy, R is the gas constant, and T is the absolute temperature.

4. A method for evaluating the effectiveness of standard component design according to claim 1, characterized in that: Based on the state parameters, the finite element model is driven into the dynamic performance analysis of the processing of standard parts, and multiple performance indicators of standard parts are obtained, including: Determine the equivalent stress, equivalent strain and temperature distribution of the original processing material during the processing and forming process based on the state parameters; Construct a phased finite element model for each phased workpiece formed after each processing pass; The equivalent stress, equivalent strain and temperature distribution corresponding to each processing pass are used as input, and the equivalent stress and equivalent strain are applied to the model as boundary conditions or loads. At the same time, the temperature distribution is used as a thermal load. According to the actual sequence and time interval of the processing process, the dynamic response of the material in the actual processing process is simulated; Based on the nonlinear behavior of the material, the stress, strain and displacement physical quantities of the material under different states are calculated to simulate the dynamic behavior of the standard parts during the processing and forming process; Extract key performance indicators based on dynamic behavior analysis results, including maximum stress, maximum strain, deformation, and temperature change; Based on the extracted performance indicators, multiple properties of standard parts are calculated, including load-bearing capacity, stiffness, fatigue life and corrosion resistance.

5. A method for evaluating the effectiveness of standard component design according to claim 1, characterized in that: Based on the extracted performance indicators, multiple properties of standard parts are calculated, including load-bearing capacity, stiffness, fatigue life and corrosion resistance. Using the maximum stress and strain values ​​obtained from finite element analysis, the simulation results are compared with the fatigue properties of the material to predict the cycle of fatigue failure under cyclic loading. The fatigue life of the standard part is calculated by combining the material's SN curve and Smith correction factor. Based on the surface treatment and coating conditions of the standard parts in the standard parts design plan, according to the chemical composition of the material and the working environment, the corrosion rate model is used to predict the corrosion rate of the material in a specific medium and determine the corrosion resistance of the standard parts; Determine the load-bearing capacity of the standard part by comparing the maximum stress obtained from the simulation with the yield strength or tensile strength of the material; The finite element model is used to analyze the deformation of the standard parts under the preset load and calculate their stiffness.

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