Multi-field coupling high-temperature alloy ring forging roll forming process optimization method and system

Abstract

The application provides a multi-field coupling high-temperature alloy ring forging piece rolling forming process optimization method and system, and is applied to the ring forging piece manufacturing technical field. The method comprises the following steps: setting initial cross-section geometric parameters and an initial rolling process path in a first three-dimensional geometric model of an initial pre-rolled blank corresponding to a high-temperature alloy ring forging piece, obtaining a second three-dimensional geometric model, combining a flow field, a temperature field, a strain field and a microstructure evolution model to construct a finite element model, and then simulating and emulating the rolling forming process of the initial pre-rolled blank to obtain roundness error, end face flatness, strain distribution uniformity, ring forging piece cross-section dynamic recrystallization fraction and average grain size pass rate; when the comprehensive evaluation score determined according to the five data is greater than a preset score threshold, the finite element model is determined as a target finite element model, the initial cross-section geometric parameters are determined as target cross-section geometric parameters and the initial rolling process path is determined as a target rolling process path. The product qualification rate and performance consistency are significantly improved.

Description

Technical Field

[0001] This application relates to the field of ring forging technology, and in particular to an optimization method and system for the rolling forming process of high-temperature alloy ring forgings with multi-field coupling. Background Technology

[0002] High-temperature alloy ring forgings (hereinafter referred to as ring forgings) are widely used in key fields such as aerospace, energy, and petrochemicals due to their excellent high-temperature strength, oxidation resistance, and creep resistance. These high-performance ring forgings are usually manufactured through a rolling forming process. Specifically, the radial feed of the mandrel and the rotational drive of the main roll cause the ring forging billet (i.e., the initial pre-rolled billet of the ring forging) to continuously undergo local plastic deformation, gradually increasing the diameter until the target size of the ring forging is reached.

[0003] Traditional rolling forming processes, especially for difficult-to-deform ring forgings, are highly sensitive to temperature and strain rate. Therefore, they are prone to problems such as inhomogeneous microstructure and poor dimensional accuracy during the rolling process. In particular, because high-temperature alloys are extremely sensitive to hot working parameters, the temperature and strain fields during rolling are complex and change over time. This easily leads to uneven recrystallization and inconsistent grain size in different parts of the ring forging, severely affecting its service performance. Specifically, microstructure inhomogeneity significantly impacts the fatigue life and high-temperature creep resistance of the ring forging. Furthermore, unreasonable pre-rolled billet design or process parameters can easily lead to defects in the ring forging, such as ellipticity (out-of-roundness), end face concavity, or convexity (fishtail marks). This results in large finishing allowances, low material utilization, and poor dimensional accuracy, making it difficult for the final ring forging to meet high precision requirements, resulting in low yield and a large amount of subsequent machining.

[0004] Therefore, how to solve the problem of uneven microstructure and poor dimensional accuracy of ring forgings during the rolling and expanding process has become an urgent issue. Summary of the Invention

[0005] This application provides a method and system for optimizing the rolling and expanding process of high-temperature alloy ring forgings with multi-field coupling. It can effectively solve the problems of uneven microstructure and poor contour dimensional accuracy that occur in the rolling and expanding process of ring forgings, thereby realizing the integrated and precise control of the "shape-property-dimension" of ring forgings and significantly improving the product qualification rate and performance consistency.

[0006] This application provides an optimization method for the rolling and expanding process of multi-field coupled high-temperature alloy ring forgings, including: S1. In the first three-dimensional geometric model of the initial pre-rolled billet before the high-temperature alloy ring forging is rolled and expanded, the initial cross-sectional geometric parameters and the initial rolling and expanding process path are set to obtain the second three-dimensional geometric model; and based on the second three-dimensional geometric model, the flow field, the temperature field, the strain field and the microstructure evolution model, the finite element model of the initial pre-rolled billet is constructed. S2. Based on the finite element model, the entire process from the start of rolling to forming of the initial pre-rolled billet is simulated to obtain the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate of the high-temperature alloy ring forging. S3. Determine the comprehensive evaluation score of the high-temperature alloy ring forging based on the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate. S4. If the comprehensive evaluation score is greater than the preset score threshold, the finite element model is determined as the target finite element model of the initial pre-rolled billet, the initial cross-sectional geometric parameters are determined as the target cross-sectional geometric parameters of the high-temperature alloy ring forging, and the initial rolling process path is determined as the target rolling process path of the high-temperature alloy ring forging.

[0007] According to an embodiment of this application, a method for optimizing the rolling forming process of a multi-field coupled high-temperature alloy ring forging is provided. The method involves determining a comprehensive evaluation score for the high-temperature alloy ring forging based on the roundness error, end-face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging cross-section, and average grain size compliance rate. This includes: determining the roundness pass rate based on the roundness error; determining the end-face pass rate based on the end-face flatness; and weighting and summing the roundness pass rate, end-face pass rate, strain distribution uniformity, dynamic recrystallization fraction of the ring forging cross-section, average grain size compliance rate, and their respective weighting coefficients to obtain the comprehensive evaluation score.

[0008] According to an embodiment of this application, a method for optimizing the rolling and expanding process of high-temperature alloy ring forgings using multi-field coupling is provided. The step of constructing a finite element model of the initial pre-rolled billet based on a second three-dimensional geometric model, flow field, temperature field, strain field, and microstructure evolution model includes: determining the first geometric dimensions of the initial pre-rolled billet, the second geometric dimensions of the rolling and expanding die, and the relative position between the initial pre-rolled billet and the rolling and expanding die based on the second three-dimensional geometric model, and performing mesh generation on the initial pre-rolled billet; determining the material constitutive equation of the initial pre-rolled billet based on the flow field, and applying relative motion boundary conditions between the core roller and the main roller in the rolling and expanding die; and further optimizing the process based on the flow field. Based on the temperature field, the contact heat transfer boundary conditions between the initial pre-rolled billet and the rolling forming die are determined, and the convective-radiative heat dissipation boundary conditions between the initial pre-rolled billet and the air are applied. Based on the strain field and the microstructure evolution model, the cumulative strain distribution of the initial pre-rolled billet and the temperature field are coupled and input into the dynamic recrystallization model to obtain the grain evolution calculation model. Based on the first geometric dimensions, the second geometric dimensions, the relative position, the divided mesh, the material constitutive equation, the relative motion boundary conditions, the contact heat transfer boundary conditions, the convective-radiative heat dissipation boundary conditions, and the grain evolution calculation model, the finite element model is constructed.

[0009] According to an embodiment of this application, a method for optimizing the rolling and expanding process of a multi-field coupled high-temperature alloy ring forging is provided. The method further includes: when the comprehensive evaluation score is less than or equal to the preset score threshold, updating the initial rolling and expanding process path and using the updated initial rolling and expanding process path as the new initial rolling and expanding process path, and / or updating the initial cross-sectional geometric parameters and using the updated cross-sectional geometric parameters as the new initial cross-sectional geometric parameters; repeating the above steps S1-S3 until the absolute value of the difference between the last output comprehensive evaluation score and the previous output comprehensive evaluation score is less than the preset difference threshold; determining the finite element model corresponding to the last output comprehensive evaluation score as the target finite element model, determining the initial cross-sectional geometric parameters corresponding to the last output comprehensive evaluation score as the target cross-sectional geometric parameters, and determining the initial rolling and expanding process path corresponding to the last output comprehensive evaluation score as the target rolling and expanding process path.

[0010] According to an embodiment of this application, an optimization method for the rolling and expanding process of a multi-field coupled high-temperature alloy ring forging is provided. The rolling and expanding die includes at least a mandrel, a main roll, and a tapered roll. The step of determining the first geometric dimension of the initial pre-rolled billet, the second geometric dimension of the rolling and expanding die, and the relative position between the initial pre-rolled billet and the rolling and expanding die based on the second three-dimensional geometric model includes: determining the first geometric dimension of the initial pre-rolled billet, the first sub-geometric dimension of the mandrel, the second sub-geometric dimension of the main roll, and the third sub-geometric dimension of the tapered roll based on the second three-dimensional geometric model; using the first sub-geometric dimension, the second sub-geometric dimension, and the third sub-geometric dimension as the second geometric dimension; and determining the first sub-relative position between the initial pre-rolled billet and the mandrel, the second sub-relative position between the initial pre-rolled billet and the main roll, and the third sub-relative position between the initial pre-rolled billet and the tapered roll based on the second three-dimensional geometric model, using the first sub-relative position, the second sub-relative position, and the third sub-relative position as the relative position.

[0011] According to an embodiment of this application, a method for optimizing the rolling and expanding process of a multi-field coupled high-temperature alloy ring forging is provided. The initial cross-sectional geometric parameters include at least the inner diameter, outer diameter, height, and the aspect ratio of a rectangular cross-section or the dimensional proportions of each part of an irregular cross-section. The initial rolling and expanding process path includes at least the core roller feed speed, the main roller rotation speed, and the initial heating temperature of the billet.

[0012] This application also provides an optimization system for the rolling and expanding process of multi-field coupled high-temperature alloy ring forgings, including: The model building module is used to set the initial cross-sectional geometric parameters and the initial rolling process path in the first three-dimensional geometric model of the initial pre-rolled billet before the high-temperature alloy ring forging is rolled and expanded, so as to obtain the second three-dimensional geometric model; and to construct the finite element model of the initial pre-rolled billet based on the second three-dimensional geometric model, the flow field, the temperature field, the strain field and the microstructure evolution model. The simulation module is used to simulate the entire process of the initial pre-rolled billet from the start of rolling to forming based on the finite element model, and to obtain the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section and the average grain size compliance rate of the high-temperature alloy ring forging. The data processing module is used to determine the comprehensive evaluation score of the high-temperature alloy ring forging based on the roundness error, the end face flatness, the strain distribution uniformity, the dynamic recrystallization fraction of the ring forging section, and the average grain size compliance rate. The process optimization module is used to determine the initial cross-sectional geometric parameters as the target cross-sectional geometric parameters of the high-temperature alloy ring forging when the comprehensive evaluation score is greater than a preset score threshold, and to determine the initial rolling process path as the target rolling process path of the high-temperature alloy ring forging.

[0013] This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the optimization method for the rolling forming process of multi-field coupled high-temperature alloy ring forgings as described above.

[0014] This application also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the multi-field coupled high-temperature alloy ring forging process optimization method as described above.

[0015] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the multi-field coupled high-temperature alloy ring forging process optimization method as described above.

[0016] The multi-field coupled high-temperature alloy ring forging rolling forming process optimization method and system provided in this application embodiment involves setting initial cross-sectional geometric parameters and initial rolling process path in the first three-dimensional geometric model of the initial pre-rolled billet before rolling forming of the high-temperature alloy ring forging, thereby obtaining a second three-dimensional geometric model; and constructing a finite element model of the initial pre-rolled billet based on the second three-dimensional geometric model, flow field, temperature field, strain field, and microstructure evolution model; and simulating the entire process of the initial pre-rolled billet from the start of rolling to forming based on the finite element model, obtaining the roundness error, end face flatness, and strain distribution of the high-temperature alloy ring forging. The evaluation criteria for the high-temperature alloy ring forging include uniformity, dynamic recrystallization fraction of the ring forging cross-section, and average grain size compliance rate. Based on the roundness error, end-face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging cross-section, and average grain size compliance rate, a comprehensive evaluation score is determined. If the comprehensive evaluation score exceeds a preset threshold, the finite element model is designated as the target finite element model for the initial pre-rolled billet, the initial cross-sectional geometric parameters are designated as the target cross-sectional geometric parameters for the high-temperature alloy ring forging, and the initial rolling process path is designated as the target rolling process path for the high-temperature alloy ring forging. This method is a closed-loop rolling forming process design based on "design-simulation-evaluation-optimization," aiming to perform high-fidelity multi-field coupled simulation for the rolling forming process characteristics of ring forgings, and then automatically optimize based on this simulation. The entire process enables precise prediction of the rolling and expanding process of ring forgings and intelligent design of the shape and process parameters of the initial pre-rolled billet. Ultimately, it achieves the goal of controlling the geometric dimensions of ring forgings, improving the uniformity of the microstructure and the overall performance. The final determined target finite element model, target cross-sectional geometric parameters and target rolling and expanding process path can effectively solve the problems of microstructure inhomogeneity and poor contour dimensional accuracy that occur in the rolling and expanding process of ring forgings. This enables the integrated and precise control of the "shape-property-dimension" of ring forgings, significantly improving the product qualification rate and performance consistency. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the optimization method for the rolling and expanding process of high-temperature alloy ring forgings with multi-field coupling provided in the embodiments of this application. Figure 2 This is a schematic diagram of the structure of the multi-field coupled high-temperature alloy ring forging process optimization system provided in the embodiments of this application; Figure 3 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] To better understand the embodiments of this application, the application scenarios of the multi-field coupled high-temperature alloy ring forging process optimization method provided in the embodiments of this application are first described in detail: The optimization method for the rolling and expanding process of high-temperature alloy ring forgings provides data support for efficient and precise rolling and expanding processes. It is commonly used in high-end equipment manufacturing and belongs to the field of precision ring forging rolling and expanding technology. It can solve problems such as uneven microstructure and poor dimensional accuracy of ring forgings during the rolling and expanding process.

[0021] Specifically, in the aerospace field, this method is used to optimize the manufacturing processes of critical load-bearing components such as engine casings and rocket shells to meet stringent requirements for high-performance materials. In the energy sector, it is used to optimize the manufacturing processes of typical ring forgings such as large wind turbine bearing rings and nuclear power pressure vessel support rings, resulting in ring forgings with excellent load-bearing and fatigue performance. Furthermore, this method is also widely used to optimize the manufacturing processes of core basic components such as slewing bearings in heavy machinery, wheel bearings in rail transportation, and high-strength gear rings in automobiles.

[0022] It should be noted that the execution subject involved in the embodiments of this application can be a multi-field coupled high-temperature alloy ring forging rolling forming process optimization system, or it can be an electronic device. Optionally, the electronic device may include: computer / laptop, mobile terminal, server, electronic assembly equipment, and electrical production equipment, etc.

[0023] The following section uses electronic devices as an example to elaborate on the optimization method for the rolling and expanding process of high-temperature alloy ring forgings with multi-field coupling provided in the embodiments of this application: Figure 1 This is a schematic flowchart of the optimization method for the rolling and expanding process of high-temperature alloy ring forgings with multi-field coupling provided in the embodiments of this application. Figure 1 As shown, the method includes the following steps 101-104.

[0024] Step 101: In the first three-dimensional geometric model of the initial pre-rolled billet before the high-temperature alloy ring forging is rolled and expanded, the initial cross-sectional geometric parameters and the initial rolling and expanding process path are set to obtain the second three-dimensional geometric model; and based on the second three-dimensional geometric model, the flow field, the temperature field, the strain field and the microstructure evolution model, the finite element model of the initial pre-rolled billet is constructed.

[0025] High-temperature alloy ring forgings refer to high-performance metal ring parts prepared by plastic forming methods (especially roll forming processes). For example, the ring forging can be a GH4169 high-temperature alloy ring forging.

[0026] The initial pre-rolled billet refers to the starting or intermediate metal material billet used in the roll forming process. It usually undergoes pretreatment processes such as blanking, heating, upsetting, and punching, and has a specific geometric shape (such as a thick-walled ring or a disc-shaped ring). It is the input material for the final plastic deformation of the roll forming die.

[0027] A three-dimensional geometric model is a mathematical model that accurately describes the geometry, size, and relative position of the initial pre-rolled billet and the rolling forming die in three-dimensional space.

[0028] Initial cross-sectional geometric parameters refer to the set of key variables describing the cross-sectional shape and dimensions of the initial pre-rolled billet. Optionally, these initial cross-sectional geometric parameters may include at least the inner diameter, outer diameter, height, and the aspect ratio of a rectangular cross-section or the dimensional proportions of various parts of an irregular cross-section.

[0029] The initial rolling process path refers to a sequence of key process variables pre-set in a simulation or optimization iteration to guide the motion control and thermal environment control of the rolling forming die. Optionally, the initial rolling process path may include at least the mandrel feed speed v(t), the main roll rotation speed ω, and the initial heating temperature T0 of the billet. Optionally, the mandrel feed speed may include a constant feed speed or a segmented feed speed.

[0030] The flow field refers to the macroscopic material flow and deformation state of the metal material in the initial pre-rolled billet under stress during high-temperature and large-deformation plastic processing. It is used to describe the continuous local plastic deformation of the metal material, such as the strain rate distribution.

[0031] The temperature field refers to the distribution of the internal and surface temperatures of the initial pre-rolled billet with spatial location and time during the rolling and forming process. It is used to describe the deformation heat generation and contact heat transfer, such as energy transfer and temperature changes caused by heating, contact heat transfer, convection and radiation heat dissipation.

[0032] The strain field refers to the distribution of the degree of plastic deformation inside the initial pre-rolled billet during the rolling process. It is used to describe the strain or cumulative equivalent strain of a metal material at different locations and is a key indicator for evaluating the deformation uniformity of a metal material.

[0033] The microstructure evolution model is a computational model that describes the changes in the internal grain structure of high-temperature alloy materials over time and location under the coupled effects of high temperature and plastic deformation. It mainly includes dynamic recrystallization, dynamic recovery, and grain growth, and is a fundamental factor affecting the final performance (such as strength and toughness) of ring forgings.

[0034] A finite element model is a computational model built based on the finite element method for numerically solving multi-field coupled physical problems. This finite element model can achieve transient simulation of the rolling forming process by defining material constitutive equations, boundary conditions (such as contact heat transfer boundary conditions and flow radiation heat dissipation boundary conditions), and coupling relationships.

[0035] In the digital model initialization stage of the pre-rolled billet described in step 101, the electronic device first acquires the initial pre-rolled billet of the high-temperature alloy ring forging before rolling and expanding. Based on the final three-dimensional model of the high-temperature alloy ring forging (such as a rectangular or irregularly shaped ring), and combined with the principle of volume conservation, it creates a parameterized first three-dimensional geometric model of the initial pre-rolled billet. This provides accurate geometric input and physical boundaries for all subsequent calculations and analyses, which is a prerequisite for ensuring a high degree of consistency between the final simulation results and the actual rolling and expanding process. Then, in the first three-dimensional geometric model, the electronic device sets the initial cross-sectional geometric parameters and the initial rolling and expanding process path containing the core roller feed speed, the main roller rotation speed, and the initial heating temperature of the billet to obtain the second three-dimensional geometric model. The second three-dimensional geometric model is then imported into a multiphysics coupling solver to establish a finite element model that simultaneously considers the flow field, temperature field, strain field, and microstructure evolution model for subsequent simulation to optimize the rolling and expanding process of the ring forging.

[0036] The principle of volume conservation means that the volume of the metal material remains unchanged during the plastic forming process of high-temperature alloy ring forgings.

[0037] In some embodiments, the electronic device constructs a finite element model of the initial pre-rolled billet based on a second three-dimensional geometric model, a flow field, a temperature field, a strain field, and a microstructure evolution model. This may include: the electronic device determining the first geometric dimensions of the initial pre-rolled billet, the second geometric dimensions of the rolling forming die, and the relative position between the initial pre-rolled billet and the rolling forming die based on the second three-dimensional geometric model, and meshing the initial pre-rolled billet; the electronic device determining the material constitutive equation of the initial pre-rolled billet based on the flow field, and applying relative motion boundary conditions between the core roll and the main roll in the rolling forming die; the electronic device determining the material constitutive equation of the initial pre-rolled billet based on the temperature field; and the electronic device determining the material constitutive equation of the initial pre-rolled billet based on the flow field, and applying relative motion boundary conditions between the core roll and the main roll in the rolling forming die; ... and the electronic device determining the material constitutive equation of the initial pre-rolled billet based on the temperature field. The electronic device determines the contact heat transfer boundary conditions between the initial pre-rolled billet and the rolling forming die, and applies convective-radiative heat dissipation boundary conditions between the initial pre-rolled billet and the air. Based on the strain field and microstructure evolution model, the electronic device couples the cumulative strain distribution and temperature field of the initial pre-rolled billet into the dynamic recrystallization model to obtain the grain evolution calculation model. Based on the first geometric dimension, the second geometric dimension, the relative position, the divided mesh, the material constitutive equation, the relative motion boundary conditions, the contact heat transfer boundary conditions, the convective-radiative heat dissipation boundary conditions, and the grain evolution calculation model, the electronic device constructs a finite element model.

[0038] In this embodiment, the first step involves the electronic device quantizing and locating the data in the second three-dimensional geometric model to determine the initial volume and shape of the initial pre-rolled billet (i.e., the first geometric dimensions), the functional boundary and contact area of ​​the rolling forming die (i.e., the second geometric dimensions), and the relative position between the initial pre-rolled billet and the rolling forming die, thereby defining kinematics and contact boundary conditions. Simultaneously, the electronic device meshes the initial pre-rolled billet, obtaining the resulting mesh. This entire process provides a solid foundation for the accurate construction of the finite element model and the precise application of boundary conditions.

[0039] The second step involves the electronic device determining the material constitutive equation of the initial pre-rolled billet based on the flow field. This equation accurately describes the nonlinear relationship between the rheological stress and strain of the initial pre-rolled billet of the high-temperature alloy under the influence of rolling temperature, strain, and strain rate, thus defining the plastic deformation characteristics of the initial pre-rolled billet. Simultaneously, the electronic device determines the mandrel and main roll in the rolling forming die and applies relative motion boundary conditions between them, transforming the mandrel feed speed and main roll rotation speed in the initial rolling process path into executable driving commands for the finite element model. This entire process endows the finite element model with accurate material response capabilities and dynamic simulation capabilities, becoming a necessary prerequisite for conducting transient multi-field coupled solutions. Furthermore, for the deformation analysis of the flow field, the electronic device employs a thermoviscoplastic material model to simulate the complex metal flow behavior of the ring forging in the roll gap, including continuous local flattening, widening, and diameter expansion. This accurately describes the relative motion between the mandrel and main roll, as well as the continuous rotation and diameter expansion process of the ring forging.

[0040] The third step involves the electronic device determining the intermittent contact heat transfer boundary conditions between the initial pre-rolled billet and the rolling forming die based on the temperature field. These boundary conditions describe the efficiency of heat conduction at the high-temperature contact interface (usually defined by the contact heat transfer coefficient). Simultaneously, the electronic device applies convective-radiative heat dissipation boundary conditions between the initial pre-rolled billet and the air. These boundary conditions describe the process of heat loss from the free surface of the ring forging to the environment (determined by the convective heat transfer coefficient and the radiative emissivity). In other words, the key to the electronic device's thermodynamic analysis of the temperature field, specifically solving the transient heat conduction equation, is to accurately simulate the deformation heat generation in the deformation zone of the ring forging, the intermittent contact heat transfer between the ring forging and the rollers in the rolling forming die (i.e., the core roller, main roller, and tapered roller (such as the end face tapered roller)), and the heat exchange between the surface of the ring forging and the surrounding environment (i.e., the aforementioned air).

[0041] In the fourth step, the electronic equipment couples the cumulative strain distribution of the initial pre-rolled billet during multiple rotary rolling processes and the aforementioned temperature field into the dynamic recrystallization model based on the strain field and microstructure evolution model. The cumulative strain distribution provides information on the plastic deformation energy driving grain evolution, while the temperature field provides the thermal activation conditions controlling the evolution rate. Both work together in the dynamic recrystallization model. Ultimately, a grain evolution calculation model is obtained, used to predict grain evolution, specifically for the recrystallization fraction and grain size evolution of the ring forging at different locations (e.g., radial and axial). This entire process achieves deep coupling between macroscopic thermodynamic behavior (e.g., strain, temperature) and microstructural changes (e.g., grain evolution), providing a theoretical basis for accurately predicting the internal microstructure inhomogeneity of the ring forging and optimizing the final product performance.

[0042] Fifth, based on the output results of the first four steps, namely the first geometric dimension, the second geometric dimension, the relative position, the divided mesh, the material constitutive equation, the relative motion boundary conditions, the contact heat transfer boundary conditions, the convective and radiative heat dissipation boundary conditions, and the grain evolution calculation model, the electronic equipment imports all input elements such as geometry, discretization, material properties, motion drive, thermal environment, and microstructure evolution into a multiphysics coupled solver to establish a finite element model that simultaneously considers the flow field, temperature field, strain field, and microstructure evolution model. This is in preparation for subsequent transient simulation of the entire process from the initial pre-rolled billet to its final shape.

[0043] In some embodiments, the rolling forming die includes at least a mandrel, a main roll, and a tapered roll. The electronic device, based on a second three-dimensional geometric model, determines the first geometric dimension of the initial pre-rolled billet, the second geometric dimension of the rolling forming die, and the relative position between the initial pre-rolled billet and the rolling forming die. This may include: the electronic device determining, based on the second three-dimensional geometric model, the first sub-geometric dimension of the initial pre-rolled billet, the first sub-geometric dimension of the mandrel, the second sub-geometric dimension of the main roll, and the third sub-geometric dimension of the tapered roll; the electronic device using the first sub-geometric dimension, the second sub-geometric dimension, and the third sub-geometric dimension as the second geometric dimension; the electronic device determining, based on the second three-dimensional geometric model, the first sub-relative position between the initial pre-rolled billet and the mandrel, the second sub-relative position between the initial pre-rolled billet and the main roll, and the third sub-relative position between the initial pre-rolled billet and the tapered roll; the electronic device using the first sub-relative position, the second sub-relative position, and the third sub-relative position as the relative position.

[0044] The first sub-geometric dimension refers to the diameter, length, and other dimensions of the mandrel, which are used to control the inner diameter of the ring forging.

[0045] The second sub-geometry refers to the diameter, width, and other dimensions of the main roller, which are used to provide driving force and control the outer diameter of the ring forging.

[0046] The third sub-geometric dimension refers to the angle, diameter, width, and other dimensions of the tapered roller, which are used to control the height and end face flatness of the ring forging.

[0047] The first relative position defines the initial contact point and gap of the core roller, which is the starting point of the core roller's feed motion.

[0048] The second relative position defines the initial contact point between the initial pre-rolled billet and the main roll, which is the starting point for motion input and frictional force application.

[0049] The third sub-relative position defines the initial positional relationship between the tapered roll and the upper and lower end faces of the initial pre-rolled billet, controlling the initial constraint of axial deformation.

[0050] In this embodiment, the first, second, and third sub-geometric dimensions are used as the second geometric dimension, ensuring its integrity and accuracy. Only by accurately obtaining the dimensions of each roller can the functional boundaries of the corresponding roller in the simulation be accurately defined. Furthermore, based on these three sub-relative positions (first, second, and third), kinematic and contact boundary conditions can be precisely defined. In complex rolling processes, even minute differences in these sub-relative positions can lead to significant variations in the final forming result. This refinement is crucial for ensuring high-fidelity transient simulation. The entire process guarantees the accuracy and reliability of the rolling forming process optimization method.

[0051] Similarly, the contact heat transfer boundary conditions between the initial pre-rolled billet and the rolling forming die include at least the first contact heat transfer boundary conditions between the initial pre-rolled billet and the mandrel, the second contact heat transfer boundary conditions between the initial pre-rolled billet and the main roll, and the third contact heat transfer boundary conditions between the initial pre-rolled billet and the tapered roll.

[0052] It should be noted that decomposing the contact heat transfer boundary condition into these three sub-items ensures the completeness and accuracy of the boundary condition setting. Only by precisely defining the heat exchange efficiency (i.e., contact heat transfer coefficient) at the contact interfaces between the initial pre-rolled billet and the mandrel, main roll, and tapered roll can the cooling effect of different rolls be accurately simulated. Furthermore, based on these three sub-boundary conditions—the first, second, and third contact heat transfer boundary conditions—the heat loss path of the initial pre-rolled billet during the rolling process can be precisely defined. In complex rolling processes, even small differences in these contact heat transfer boundary conditions can lead to significant changes in the internal temperature field of the initial pre-rolled billet. These three sub-boundary conditions are crucial for ensuring the accuracy of the temperature field and microstructure evolution model results in multi-field coupled simulations.

[0053] Step 102: Based on the finite element model, simulate the entire process of the initial pre-rolled billet from the start of rolling to forming, and obtain the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section and the average grain size compliance rate of the high-temperature alloy ring forging.

[0054] Among them, roundness error is used to reflect the degree of deviation between the final contour of the ring forging and the ideal circle, which is directly related to the product accuracy.

[0055] The flatness of the end face reflects whether the upper and lower end faces of the ring forging are parallel and flat, which is related to the difficulty of subsequent processing and the yield.

[0056] Strain distribution uniformity is used to reflect the differences in the distribution of cumulative strain (from the strain field) inside the cross section of a ring forging, and is an important basis for assessing the tendency of internal defects (such as cracks and coarse microstructure).

[0057] The dynamic recrystallization fraction of the ring forging section reflects the degree of grain refinement and softening inside the ring forging, and is the key to determining the material's plasticity and toughness.

[0058] Average grain size compliance rate refers to the degree of conformity of the grain size of the final product. The finer the grains, the higher the average grain size compliance rate, and the better the overall performance (such as fatigue life) of the high-temperature alloy. Optionally, the average grain size refers to the average grain size of critical parts (such as the inner and outer edges).

[0059] In step 102, after the electronic device has constructed the finite element model, it can simulate the entire process from the initial pre-rolled billet rolling to forming based on the finite element model, obtaining the simulation results of the high-temperature alloy ring forging. These simulation results include at least geometric dimensional indicators (such as roundness error and end face flatness), macroscopic quality indicators (such as strain distribution uniformity), and microstructure indicators (such as dynamic recrystallization fraction of the ring forging section and average grain size compliance rate). The entire process, through full-process transient simulation and a multi-field coupled finite element model, can simultaneously and accurately predict the geometric dimensions, macroscopic quality, and microstructure properties of the high-temperature alloy ring forging, providing comprehensive and highly reliable data support for subsequent process optimization. This solves the problems of microstructure inhomogeneity and poor contour dimensional accuracy in traditional rolling forming processes.

[0060] Step 103: Determine the comprehensive evaluation score of the high-temperature alloy ring forging based on roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate.

[0061] Among them, the comprehensive evaluation score can realize the comprehensive evaluation of the quality and microstructure of ring forgings, and is used to intuitively reflect the quality of the current finite element model, the initial rolling process path and the initial cross-sectional geometric parameters.

[0062] In some embodiments, the electronic device determines the comprehensive evaluation score of the high-temperature alloy ring forging based on roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate. This may include: the electronic device determining the roundness pass rate based on the roundness error; the electronic device determining the end face pass rate based on the end face flatness; and the electronic device performing a weighted summation of the roundness pass rate, end face pass rate, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, average grain size compliance rate, and their respective weighting coefficients to obtain the comprehensive evaluation score.

[0063] Optionally, the formula for calculating the comprehensive evaluation score is: F=w1 (1-I_roundness)+w2 (1-I_flatness)+w3 I_strain_uniform+w4 I_DRX_volume+w5 I_grain_size.

[0064] Wherein, F represents the comprehensive evaluation score; w1 represents the weighting coefficient corresponding to roundness error; I_roundness represents roundness error; 1-I_roundness represents the roundness pass rate; w2 represents the weighting coefficient corresponding to end face flatness; I_flatness represents end face flatness; 1-I_flatness represents the end face pass rate; w3 represents the weighting coefficient corresponding to strain distribution uniformity; I_strain_uniform represents strain distribution uniformity; w4 represents the weighting coefficient corresponding to the dynamic recrystallization fraction of the ring forging section; I_DRX_volume represents the dynamic recrystallization fraction of the ring forging section; w5 represents the weighting coefficient corresponding to the average grain size compliance rate; and I_grain_size represents the average grain size compliance rate.

[0065] It should be noted that the weighting coefficients w1, w2, w3, w4 and w5 are set according to the technical requirements of ring forgings, that is, they are adjusted according to the primary requirements of the product (such as whether more emphasis is placed on dimensional accuracy or fatigue performance).

[0066] Step 104: If the comprehensive evaluation score is greater than the preset score threshold, the finite element model is determined as the target finite element model of the initial pre-rolled billet, the initial cross-sectional geometric parameters are determined as the target cross-sectional geometric parameters of the high-temperature alloy ring forging, and the initial rolling process path is determined as the target rolling process path of the high-temperature alloy ring forging.

[0067] In some embodiments, after step 104, the method may further include: if the comprehensive evaluation score is less than or equal to a preset score threshold, the electronic device updates the initial rolling process path and uses the updated initial rolling process path as the new initial rolling process path, and / or updates the initial cross-sectional geometric parameters and uses the updated cross-sectional geometric parameters as the new initial cross-sectional geometric parameters; the electronic device repeats the above steps 101-103 until the absolute value of the difference between the last output comprehensive evaluation score and the previous output comprehensive evaluation score is less than a preset difference threshold; the electronic device determines the finite element model corresponding to the last output comprehensive evaluation score as the target finite element model, determines the initial cross-sectional geometric parameters corresponding to the last output comprehensive evaluation score as the target cross-sectional geometric parameters, and determines the initial rolling process path corresponding to the last output comprehensive evaluation score as the target rolling process path.

[0068] In this embodiment, the electronic device can achieve intelligent feedback optimization iteration. Specifically, it aims to achieve the optimal comprehensive evaluation score by employing an intelligent optimization algorithm (such as a genetic algorithm) to automatically adjust the initial rolling process path and / or initial cross-sectional geometric parameters of the initial pre-rolled billet as design variables, driving a simulation cycle until a preset convergence condition is met to find the optimal solution. Specifically, after obtaining the comprehensive evaluation score, the electronic device can compare it with a preset score threshold. If the comprehensive evaluation score is greater than the preset score threshold, it indicates that the performance of the currently used initial cross-sectional geometric parameters and initial rolling process path has met the preset quality and microstructure requirements. At this time, the electronic device can determine the finite element model as the target finite element model of the initial pre-rolled billet, determine the initial cross-sectional geometric parameters as the target cross-sectional geometric parameters of the high-temperature alloy ring forging, and determine the initial rolling process path as the target rolling process path of the high-temperature alloy ring forging.

[0069] If the overall evaluation score is less than or equal to the preset score threshold, it indicates that the currently used initial cross-sectional geometric parameters and initial rolling process path fail to meet the preset quality and microstructure requirements, and further optimization and adjustment are needed. In this case, the electronic device can update the initial rolling process path to obtain an updated initial rolling process path, and use the updated initial rolling process path as the new initial rolling process path; and / or, the electronic device can update the initial cross-sectional geometric parameters to obtain updated initial cross-sectional geometric parameters, and use the updated initial cross-sectional geometric parameters as the new initial cross-sectional geometric parameters; then, the electronic device repeats the above steps 101-103. The iteration optimization process reaches convergence when the absolute value of the difference between the last output comprehensive evaluation score and the previous output comprehensive evaluation score is less than the preset difference threshold. This indicates that the parameters automatically adjusted by the intelligent optimization algorithm have found a local optimum or a global optimum, and the score no longer increases significantly within the preset range. Finally, the electronic device determines the finite element model corresponding to the last output comprehensive evaluation score as the target finite element model, the initial cross-sectional geometric parameters corresponding to the last output comprehensive evaluation score as the target cross-sectional geometric parameters, and the initial rolling process path corresponding to the last output comprehensive evaluation score as the target rolling process path.

[0070] The entire process described above is driven by a cyclical iteration of steps through a standard-reaching judgment (compared with a preset score threshold) and an intelligent optimization algorithm (automatically adjusting parameters). This allows the system to automatically find the target process parameters and geometric parameters that enable the comprehensive evaluation score to reach the optimal (converged) level, thereby efficiently and accurately solving problems such as uneven microstructure and poor dimensional accuracy of ring forgings during the rolling and forming process.

[0071] Optionally, after step 104, the method may further include: the electronic device outputting a target finite element model and a rolling process parameter table containing the target cross-sectional geometric parameters and the target rolling process path.

[0072] The entire process transforms the optimized virtual design into a guiding document that can be directly referenced and implemented in actual production by outputting the target finite element model and a complete rolling process parameter table, which significantly improves the operability, reliability and success rate of the rolling forming process.

[0073] In this embodiment, the technical solution described in steps 101-104 is a closed-loop rolling forming process design of "design-simulation-evaluation-optimization". It aims to perform high-fidelity multi-field coupled simulation on the process characteristics of ring forging rolling forming, and then automatically optimize based on this simulation. The entire process achieves accurate prediction of the ring forging rolling forming process and intelligent design of the shape and process parameters of the initial pre-rolled billet. Ultimately, it achieves the goal of controlling the geometric dimensions of the ring forging, improving the uniformity of the microstructure and the overall performance. The final determined target finite element model, target cross-sectional geometric parameters, and target rolling process path can effectively solve problems such as microstructure inhomogeneity and poor contour dimensional accuracy that occur in the ring forging rolling forming process. This enables integrated and precise control of the ring forging's "shape-property-dimension" and significantly improves product qualification rate and performance consistency.

[0074] In addition, the above technical solution also has the following beneficial effects: 1. Highly targeted: Specifically developed for the rolling and expanding process of ring forgings, it accurately simulates the characteristics of continuous rotation and local forming of the initial pre-rolled billet, with high prediction accuracy.

[0075] 2. Achieve “shape-property synergy” control: For the first time, the geometric accuracy (roundness, end face quality) and microstructure uniformity of ring forgings are incorporated into a unified optimization framework, achieving dual optimization of size and performance.

[0076] 3. Significantly reduce costs and increase efficiency: By replacing physical trial and error with digital "virtual trial and error", the R&D cycle of high-end ring forgings is significantly shortened, and material and mold costs are reduced.

[0077] 4. Enhance product competitiveness: Based on the final determined target cross-sectional geometric parameters and target rolling process path, the produced ring forgings are dimensionally accurate, have uniform microstructure, excellent performance and good consistency, meeting the stringent requirements of key basic components in aerospace and other fields.

[0078] To better understand the optimization method for the rolling and expanding process of multi-field coupled high-temperature alloy ring forgings provided in the embodiments of this application, the following example illustrates the rolling and expanding process of a GH4169 high-temperature alloy aero-engine casing ring forging: The first step is to set the initial cross-sectional geometric parameters and the initial rolling process path in the first three-dimensional geometric model of the rectangular cross-section ring before the irregular cross-section casing is rolled and formed, so as to obtain the second three-dimensional geometric model; and to construct the finite element model of the rectangular cross-section ring based on the second three-dimensional geometric model, the flow field, the temperature field, the strain field and the microstructure evolution model.

[0079] The second step involves simulating the entire process of rolling and forming the rectangular cross-section ring based on the finite element model. This simulation yields the roundness error, end-face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate of the irregularly shaped casing. The simulation results show that due to the mismatch in cross-sectional shape, wavy defects appear on the end face of the irregularly shaped casing. Furthermore, in areas with larger wall thickness, insufficient strain leads to inadequate dynamic recrystallization, predicting coarse grains.

[0080] The third step involves determining the comprehensive evaluation score of the high-temperature alloy ring forging based on the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate. Notably, the poor end face flatness and average grain size compliance rate resulted in a comprehensive evaluation score lower than the preset threshold.

[0081] The fourth step involves iterative optimization, using the optimization strategy of transforming the pre-rolled billet cross section into an irregular profile similar to the final forging, and employing a segmented feed speed for the core roll.

[0082] Step 5: The optimized solution shows that by adopting a new rectangular cross-section ring and an optimized segmented feed speed for the core roller, the simulated predictions show that the irregular cross-section casing end face is flat, the strain distribution across the entire cross-section is uniform, dynamic recrystallization is sufficient, and the grains are fine and uniform. The optimal solution was used in actual production, and the trial production was successful on the first attempt. All product indicators met the design requirements.

[0083] The following describes the multi-field coupled high-temperature alloy ring forging rolling and forming process optimization system provided in the embodiments of this application. The multi-field coupled high-temperature alloy ring forging rolling and forming process optimization system described below can be referred to in correspondence with the multi-field coupled high-temperature alloy ring forging rolling and forming process optimization method described above.

[0084] Figure 2 This is a schematic diagram of the structure of the multi-field coupled high-temperature alloy ring forging process optimization system provided in the embodiments of this application. Figure 2 As shown, the system includes: a model building module 201, a simulation module 202, a data processing module 203, and a process optimization module 204.

[0085] The model building module 201 is used to set the initial cross-sectional geometric parameters and the initial rolling process path in the first three-dimensional geometric model of the initial pre-rolled billet before the high-temperature alloy ring forging is rolled and formed, so as to obtain the second three-dimensional geometric model; and to construct the finite element model of the initial pre-rolled billet based on the second three-dimensional geometric model, the flow field, the temperature field, the strain field and the microstructure evolution model. The simulation module 202 is used to simulate the entire process of the initial pre-rolled billet from the start of rolling to forming based on the finite element model, and to obtain the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section and the average grain size compliance rate of the high-temperature alloy ring forging. The data processing module 203 is used to determine the comprehensive evaluation score of the high-temperature alloy ring forging based on the roundness error, the end face flatness, the strain distribution uniformity, the dynamic recrystallization fraction of the ring forging section and the average grain size compliance rate. The process optimization module 204 is used to determine the initial cross-sectional geometric parameters as the target cross-sectional geometric parameters of the high-temperature alloy ring forging when the comprehensive evaluation score is greater than the preset score threshold, and to determine the initial rolling process path as the target rolling process path of the high-temperature alloy ring forging.

[0086] It should be noted that the model building module 201, simulation module 202, data processing module 203 and process optimization module 204 are connected in sequence to form a closed-loop optimization workflow for the rolling expansion process of ring forgings.

[0087] Optionally, the data processing module 203 is specifically used to determine the roundness pass rate based on the roundness error; determine the end face pass rate based on the end face flatness; and perform a weighted summation of the roundness pass rate, the end face pass rate, the strain distribution uniformity, the dynamic recrystallization fraction of the ring forging section, the average grain size compliance rate, and their respective weighting coefficients to obtain the comprehensive evaluation score.

[0088] Optionally, the model building module 201 is specifically used to determine the first geometric dimensions of the initial pre-rolled billet, the second geometric dimensions of the rolling forming die, and the relative position between the initial pre-rolled billet and the rolling forming die based on the second three-dimensional geometric model, and to mesh the initial pre-rolled billet; to determine the material constitutive equation of the initial pre-rolled billet based on the flow field, and to apply relative motion boundary conditions between the core roll and the main roll in the rolling forming die; to determine the contact heat transfer boundary conditions between the initial pre-rolled billet and the rolling forming die based on the temperature field, and to apply convective-radiative heat dissipation boundary conditions between the initial pre-rolled billet and the air; to couple the cumulative strain distribution of the initial pre-rolled billet and the temperature field into the dynamic recrystallization model based on the strain field and the microstructure evolution model to obtain the grain evolution calculation model; and to construct the finite element model based on the first geometric dimensions, the second geometric dimensions, the relative position, the mesh, the material constitutive equation, the relative motion boundary conditions, the contact heat transfer boundary conditions, the convective-radiative heat dissipation boundary conditions, and the grain evolution calculation model.

[0089] Optionally, the process optimization module 204 is further configured to, when the comprehensive evaluation score is less than or equal to the preset score threshold, update the initial rolling process path and use the updated initial rolling process path as the new initial rolling process path, and / or update the initial cross-sectional geometric parameters and use the updated cross-sectional geometric parameters as the new initial cross-sectional geometric parameters; repeat the above steps S1-S3 until the absolute value of the difference between the last output comprehensive evaluation score and the previous output comprehensive evaluation score is less than the preset difference threshold; determine the finite element model corresponding to the last output comprehensive evaluation score as the target finite element model, determine the initial cross-sectional geometric parameters corresponding to the last output comprehensive evaluation score as the target cross-sectional geometric parameters, and determine the initial rolling process path corresponding to the last output comprehensive evaluation score as the target rolling process path.

[0090] Optionally, the rolling forming die includes at least a core roll, a main roll, and a tapered roll; the model building module 201 is specifically used to determine, based on the second three-dimensional geometric model, the first geometric dimension of the initial pre-rolled billet, the first sub-geometric dimension of the core roll, the second sub-geometric dimension of the main roll, and the third sub-geometric dimension of the tapered roll; and to use the first sub-geometric dimension, the second sub-geometric dimension, and the third sub-geometric dimension as the second geometric dimension; and to determine, based on the second three-dimensional geometric model, the first sub-relative position between the initial pre-rolled billet and the core roll, the second sub-relative position between the initial pre-rolled billet and the main roll, and the third sub-relative position between the initial pre-rolled billet and the tapered roll, and to use the first sub-relative position, the second sub-relative position, and the third sub-relative position as the relative position.

[0091] Optionally, the initial cross-sectional geometric parameters include at least the inner diameter, outer diameter, height, and the aspect ratio of the rectangular cross-section or the dimensional proportions of each part of the irregular cross-section; the initial rolling process path includes at least the core roller feed speed, the main roller rotation speed, and the initial heating temperature of the billet.

[0092] Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. For example... Figure 3 As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 can call logical instructions in the memory 330 to execute a multi-field coupled high-temperature alloy ring forging rolling and forming process optimization method. This method includes: setting initial cross-sectional geometric parameters and an initial rolling and forming process path in the first three-dimensional geometric model of the initial pre-rolled billet before the high-temperature alloy ring forging is rolled and formed, to obtain a second three-dimensional geometric model; and constructing a finite element model of the initial pre-rolled billet based on the second three-dimensional geometric model, flow field, temperature field, strain field, and microstructure evolution model; and simulating the entire process of the initial pre-rolled billet from the start of rolling and forming based on the finite element model to obtain the roundness error and end face of the high-temperature alloy ring forging. The following parameters are considered: flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate. Based on the roundness error, end-face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate, a comprehensive evaluation score for the high-temperature alloy ring forging is determined. If the comprehensive evaluation score exceeds a preset score threshold, the finite element model is determined as the target finite element model for the initial pre-rolled billet, the initial cross-sectional geometric parameters are determined as the target cross-sectional geometric parameters for the high-temperature alloy ring forging, and the initial rolling process path is determined as the target rolling process path for the high-temperature alloy ring forging.

[0093] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0094] On the other hand, this application also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the multi-field coupled high-temperature alloy ring forging rolling and expanding process optimization method provided by the above methods. This method includes: setting initial cross-sectional geometric parameters and an initial rolling and expanding process path in the first three-dimensional geometric model of the initial pre-rolled billet of the high-temperature alloy ring forging before rolling and expanding to obtain a second three-dimensional geometric model; and constructing a finite element model of the initial pre-rolled billet based on the second three-dimensional geometric model, flow field, temperature field, strain field, and microstructure evolution model; and performing the initial pre-rolled billet from the beginning according to the finite element model. The entire rolling and forming process is simulated to obtain the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate of the high-temperature alloy ring forging. Based on the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate, the comprehensive evaluation score of the high-temperature alloy ring forging is determined. If the comprehensive evaluation score is greater than a preset score threshold, the finite element model is determined as the target finite element model of the initial pre-rolled billet, the initial cross-sectional geometric parameters are determined as the target cross-sectional geometric parameters of the high-temperature alloy ring forging, and the initial rolling process path is determined as the target rolling process path of the high-temperature alloy ring forging.

[0095] In another aspect, embodiments of this application also provide a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, this computer program implements a method for optimizing the multi-field coupled rolling forming process of high-temperature alloy ring forgings provided by the methods described above. This method includes: setting initial cross-sectional geometric parameters and an initial rolling process path in a first three-dimensional geometric model of the initial pre-rolled billet before rolling forming of the high-temperature alloy ring forging, thereby obtaining a second three-dimensional geometric model; constructing a finite element model of the initial pre-rolled billet based on the second three-dimensional geometric model, flow field, temperature field, strain field, and microstructure evolution model; and simulating the entire process of the initial pre-rolled billet from the start of rolling to forming based on the finite element model. The roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate of the high-temperature alloy ring forging are obtained. Based on the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate, the comprehensive evaluation score of the high-temperature alloy ring forging is determined. If the comprehensive evaluation score is greater than a preset score threshold, the finite element model is determined as the target finite element model of the initial pre-rolled billet, the initial cross-sectional geometric parameters are determined as the target cross-sectional geometric parameters of the high-temperature alloy ring forging, and the initial rolling process path is determined as the target rolling process path of the high-temperature alloy ring forging.

[0096] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0097] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. An optimization method for the rolling and expanding process of multi-field coupled high-temperature alloy ring forgings, characterized in that, include: S1. In the first three-dimensional geometric model of the initial pre-rolled billet before the high-temperature alloy ring forging is rolled and expanded, the initial cross-sectional geometric parameters and the initial rolling and expanding process path are set to obtain the second three-dimensional geometric model; and based on the second three-dimensional geometric model, the flow field, the temperature field, the strain field and the microstructure evolution model, the finite element model of the initial pre-rolled billet is constructed. S2. Based on the finite element model, the entire process from the start of rolling to forming of the initial pre-rolled billet is simulated to obtain the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate of the high-temperature alloy ring forging. S3. Determine the comprehensive evaluation score of the high-temperature alloy ring forging based on the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate. S4. If the comprehensive evaluation score is greater than the preset score threshold, the finite element model is determined as the target finite element model of the initial pre-rolled billet, the initial cross-sectional geometric parameters are determined as the target cross-sectional geometric parameters of the high-temperature alloy ring forging, and the initial rolling process path is determined as the target rolling process path of the high-temperature alloy ring forging.

2. The method for optimizing the rolling and expanding process of multi-field coupled high-temperature alloy ring forgings according to claim 1, characterized in that, The comprehensive evaluation score of the high-temperature alloy ring forging is determined based on the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, and average grain size compliance rate, including: Determine the roundness pass rate based on the roundness error; The end face pass rate is determined based on the end face flatness. The comprehensive evaluation score is obtained by weighting and summing the roundness pass rate, end face pass rate, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section, average grain size compliance rate and their respective weighting coefficients.

3. The method for optimizing the rolling and expanding process of high-temperature alloy ring forgings with multi-field coupling according to claim 1, characterized in that, The construction of the finite element model of the initial pre-rolled billet based on the second three-dimensional geometric model, flow field, temperature field, strain field, and microstructure evolution model includes: Based on the second three-dimensional geometric model, the first geometric dimensions of the initial pre-rolled billet, the second geometric dimensions of the rolling forming die, and the relative position between the initial pre-rolled billet and the rolling forming die are determined, and the initial pre-rolled billet is meshed. Based on the flow field, the material constitutive equation of the initial pre-rolled billet is determined, and the relative motion boundary conditions of the core roll and main roll in the rolling forming die are applied. Based on the temperature field, the contact heat transfer boundary conditions between the initial pre-rolled billet and the rolling forming die are determined, and the convective radiation heat dissipation boundary conditions between the initial pre-rolled billet and the air are applied. Based on the strain field and the microstructure evolution model, the cumulative strain distribution of the initial pre-rolled billet and the temperature field are coupled and input into the dynamic recrystallization model to obtain the grain evolution calculation model. The finite element model is constructed based on the first geometric dimension, the second geometric dimension, the relative position, the divided mesh, the material constitutive equation, the relative motion boundary condition, the contact heat transfer boundary condition, the convective-radiative heat dissipation boundary condition, and the grain evolution calculation model.

4. The method for optimizing the rolling and expanding process of multi-field coupled high-temperature alloy ring forgings according to any one of claims 1-3, characterized in that, The method further includes: If the overall evaluation score is less than or equal to the preset score threshold, the initial rolling process path is updated and the updated initial rolling process path is used as the new initial rolling process path, and / or the initial cross-sectional geometric parameters are updated and the updated cross-sectional geometric parameters are used as the new initial cross-sectional geometric parameters; Repeat steps S1-S3 until the absolute value of the difference between the last output comprehensive evaluation score and the previous output comprehensive evaluation score is less than the preset difference threshold. The finite element model corresponding to the last output comprehensive evaluation score is determined as the target finite element model, the initial cross-sectional geometric parameters corresponding to the last output comprehensive evaluation score are determined as the target cross-sectional geometric parameters, and the initial rolling process path corresponding to the last output comprehensive evaluation score is determined as the target rolling process path.

5. The method for optimizing the rolling and expanding process of high-temperature alloy ring forgings with multi-field coupling according to claim 3, characterized in that, The rolling forming die includes at least a core roll, a main roll, and a tapered roll; determining the first geometric dimensions of the initial pre-rolled billet, the second geometric dimensions of the rolling forming die, and the relative position between the initial pre-rolled billet and the rolling forming die according to the second three-dimensional geometric model includes: Based on the second three-dimensional geometric model, the first geometric dimension of the initial pre-rolled billet, the first sub-geometric dimension of the mandrel, the second sub-geometric dimension of the main roll, and the third sub-geometric dimension of the tapered roll are determined; The first sub-geometric dimension, the second sub-geometric dimension, and the third sub-geometric dimension are used as the second geometric dimension; Based on the second three-dimensional geometric model, the first sub-relative position between the initial pre-rolled billet and the mandrel, the second sub-relative position between the initial pre-rolled billet and the main roll, and the third sub-relative position between the initial pre-rolled billet and the tapered roll are determined. The first sub-relative position, the second sub-relative position, and the third sub-relative position are taken as the relative positions.

6. The method for optimizing the rolling and expanding process of multi-field coupled high-temperature alloy ring forgings according to claim 3 or 5, characterized in that, The initial cross-sectional geometric parameters include at least the inner diameter, outer diameter, height, and the aspect ratio of a rectangular cross-section or the dimensional proportions of various parts of an irregular cross-section; The initial rolling process path includes at least the core roller feed speed, the main roller rotation speed, and the initial heating temperature of the billet.

7. A multi-field coupled high-temperature alloy ring forging rolling and expanding process optimization system, characterized in that, include: The model building module is used to set the initial cross-sectional geometric parameters and the initial rolling process path in the first three-dimensional geometric model of the initial pre-rolled billet before the high-temperature alloy ring forging is rolled and expanded, so as to obtain the second three-dimensional geometric model; and to construct the finite element model of the initial pre-rolled billet based on the second three-dimensional geometric model, the flow field, the temperature field, the strain field and the microstructure evolution model. The simulation module is used to simulate the entire process of the initial pre-rolled billet from the start of rolling to forming based on the finite element model, and to obtain the roundness error, end face flatness, strain distribution uniformity, dynamic recrystallization fraction of the ring forging section and the average grain size compliance rate of the high-temperature alloy ring forging. The data processing module is used to determine the comprehensive evaluation score of the high-temperature alloy ring forging based on the roundness error, the end face flatness, the strain distribution uniformity, the dynamic recrystallization fraction of the ring forging section, and the average grain size compliance rate. The process optimization module is used to determine the initial cross-sectional geometric parameters as the target cross-sectional geometric parameters of the high-temperature alloy ring forging when the comprehensive evaluation score is greater than a preset score threshold, and to determine the initial rolling process path as the target rolling process path of the high-temperature alloy ring forging.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for optimizing the rolling forming process of high-temperature alloy ring forging with multi-field coupling as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for optimizing the rolling forming process of high-temperature alloy ring forging with multi-field coupling as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for optimizing the rolling forming process of high-temperature alloy ring forging with multi-field coupling as described in any one of claims 1 to 6.

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