Method and device for predicting properties of niobium alloy thin-walled pipe during rolling

Abstract

The present application relates to the technical field of niobium alloy pipe rolling production, and particularly relates to a performance prediction method and device for niobium alloy thin-wall pipe in a rolling process, the performance prediction method for the niobium alloy thin-wall pipe in the rolling process comprising: obtaining processing parameters of the niobium alloy thin-wall pipe and technical parameters of a pilger mill; determining pass parameters of a roll of the pilger mill and a variable cross-section mandrel size matched with the pass parameters of the roll; establishing a finite element analysis three-dimensional model of the roll and the mandrel, performing finite element simulation on the niobium alloy thin-wall pipe to predict macroscopic performance of the niobium alloy thin-wall pipe, and obtaining a simulation finished pipe model; assigning initial texture of a cross section of the niobium alloy thin-wall pipe to the simulation finished pipe model to predict microscopic performance, and obtaining microscopic texture evolution law of the niobium alloy thin-wall pipe in the rolling process. In this way, the present application improves performance prediction efficiency, accuracy and reliability of the niobium alloy thin-wall pipe in the rolling process.

Description

Technical Field

[0001] This invention relates to the field of niobium alloy tube rolling production technology, specifically to a method and apparatus for predicting the performance of niobium alloy thin-walled tubes during the rolling process. Background Technology

[0002] Niobium alloy thin-walled tubes are thin-walled tubular materials made from niobium as a base and other elements (such as hafnium, tungsten, zirconium, and titanium). Pilger rolling is a rolling technology used for metal tube processing. When rolling niobium alloy thin-walled tubes using Pilger rolling, a mandrel is used. The rolls have a groove of varying depth, and the niobium alloy thin-walled tube is fed in sections within this groove. The upper and lower rolls form the outer diameter of the steel tube, and the mandrel is placed inside the tube to create a hollow structure. The rolls compress the niobium alloy thin-walled tube, changing its diameter and wall thickness, and this process is repeated periodically. During Pilger rolling, its special manufacturing process imparts axial and radial anisotropic characteristics to the niobium alloy thin-walled tube. Therefore, accurately predicting the plastic rheological characteristics and texture changes during Pilger rolling is a key breakthrough for improving the overall performance of niobium alloy thin-walled tubes.

[0003] In some scenarios, research on performance prediction of niobium alloy thin-walled tubes during the rolling process mainly relies on large-scale experimental methods. This approach not only leads to lengthy process development cycles and high costs, but also results in low accuracy and reliability of performance predictions due to various factors, such as human subjectivity and environmental factors. Therefore, the aforementioned experimental methods lead to low efficiency, accuracy, and reliability in predicting the performance of niobium alloy thin-walled tubes during the rolling process. Summary of the Invention

[0004] To address the technical problems of low efficiency, accuracy, and reliability in performance prediction during the rolling process of niobium alloy thin-walled tubes, the present invention aims to provide a method and apparatus for performance prediction of niobium alloy thin-walled tubes during the rolling process. The specific technical solution adopted is as follows: In a first aspect, embodiments of the present invention provide a method for predicting the performance of niobium alloy thin-walled tubes during the rolling process, comprising: obtaining the processing parameters of the niobium alloy thin-walled tubes and the technical parameters of the Pilger mill; determining the roll pass parameters of the Pilger mill and the variable cross-section mandrel size matching the roll pass parameters based on the processing parameters and technical parameters; establishing a finite element analysis three-dimensional model of the rolls and mandrel based on the roll pass parameters and the variable cross-section mandrel size; performing finite element simulation on the niobium alloy thin-walled tubes based on the finite element analysis three-dimensional model to predict the macroscopic performance of the niobium alloy thin-walled tubes, thereby obtaining a simulated finished tube model; and assigning the initial texture of the cross-section of the niobium alloy thin-walled tubes to the simulated finished tube model for microscopic performance prediction, thereby obtaining the microscopic texture evolution law of the niobium alloy thin-walled tubes during the rolling process.

[0005] Optionally, determining the roll pass parameters of the Pilger mill and the variable cross-section mandrel size matching the roll pass parameters based on the processing parameters and technical parameters includes: obtaining a first input from the target user in the roll pass design interface, the first input including processing parameters and technical parameters; and in response to the first input, determining the roll pass parameters corresponding to the processing parameters and technical parameters and the variable cross-section mandrel size matching the roll pass parameters.

[0006] Optionally, establishing a finite element analysis 3D model of the roll and mandrel based on the die profile parameters and the variable cross-section mandrel dimensions includes: calling the functions of the 3D application through the API interface functions provided by the 3D application; and passing the die profile parameters and the variable cross-section mandrel dimensions to the 3D application to establish a finite element analysis 3D model of the roll and mandrel through the functions of the 3D application.

[0007] Optionally, finite element simulation of niobium alloy thin-walled tubes based on a 3D finite element analysis model is performed to predict the macroscopic properties of the niobium alloy thin-walled tubes, resulting in a simulated finished tube model. This includes: pre-processing settings for the finite element analysis software, including setting material properties, analysis steps, interactions, loads, and mesh generation; performing finite element simulation of the 3D finite element analysis model in the finite element analysis software with different feed rates and rotation angles to obtain the simulated finished tube model; and extracting macroscopic performance data from the 3D finite element analysis model simulation process using the finite element analysis software, including mechanical response, deformation characteristics, and springback behavior.

[0008] Optionally, the initial texture of the cross-section of the niobium alloy thin-walled tube is assigned to the simulated finished tube model for microscopic property prediction. The microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process is obtained by: obtaining the initial texture of the cross-section of the niobium alloy thin-walled tube using electron backscatter diffraction; inputting the initial texture into the initial tube blank of the simulated finished tube model and extracting the initial Euler angles of the grains in the initial tube blank of the simulated finished tube model; and obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process by analyzing the deformation of the initial Euler angles of the grains under different process parameters during the finite element simulation of the simulated finished tube model based on the viscoplastic self-consistent polycrystalline constitutive algorithm.

[0009] Optionally, after assigning the initial texture of the niobium alloy thin-walled tube cross-section to the simulated finished tube model for microscopic performance prediction and obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process, the method further includes: obtaining the process parameters of the finite element analysis three-dimensional model during the simulation process; selecting niobium alloy thin-walled tube blanks from the same batch with consistent initial states, and conducting rolling tests on the niobium alloy thin-walled tube blanks according to the process parameters of the finite element analysis three-dimensional model during the simulation process, and obtaining the test results; determining the optimal process parameters of the niobium alloy thin-walled tube based on the simulation results and test results of the finite element analysis three-dimensional model under the process parameters.

[0010] Secondly, embodiments of the present invention provide a performance evaluation device for niobium alloy thin-walled tubes during the rolling process, comprising: an acquisition module for acquiring the processing parameters of the niobium alloy thin-walled tubes and the technical parameters of the Pilger mill; The determination module is used to determine the roll pass parameters of the Pilger mill and the size of the variable cross-section mandrel that matches the roll pass parameters based on the processing parameters and technical parameters. The prediction module is used to establish a finite element analysis three-dimensional model of the roll and mandrel based on the roll pass parameters and the size of the variable cross-section mandrel. Based on the finite element analysis three-dimensional model, finite element simulation is performed on the niobium alloy thin-walled tube to predict the macroscopic properties of the niobium alloy thin-walled tube and obtain a simulated finished tube model. The prediction module is also used to assign the initial texture of the cross section of the niobium alloy thin-walled tube to the simulated finished tube model to predict the microscopic properties and obtain the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process.

[0011] Optionally, the determining module is also used to obtain the first input from the target user in the die design interface, the first input including processing parameters and technical parameters; in response to the first input, to determine the die parameters of the roll corresponding to the processing parameters and technical parameters, and the variable cross-section mandrel size matching the die parameters of the roll.

[0012] Optionally, the prediction module is also used to call the functions of the 3D application through the API interface functions provided by the 3D application; to pass the die parameters and variable cross-section mandrel dimensions to the 3D application so as to build a finite element analysis 3D model of the roll and mandrel through the functions of the 3D application.

[0013] Optionally, the prediction module is also used for pre-processing settings of the finite element analysis software, including setting material properties, analysis steps, interactions, loads, and mesh generation; performing finite element simulation on the finite element analysis 3D model in the finite element analysis software with process parameters of different feed rates and rotation angles to obtain a simulated finished pipe model; and using the finite element analysis software to extract macroscopic performance data from the finite element analysis 3D model simulation process, including mechanical response, deformation characteristics, and springback laws.

[0014] The present invention has the following beneficial effects: First, the processing parameters of niobium alloy thin-walled tubes and the technical parameters of the Pilger mill are obtained; then, based on the processing parameters and technical parameters, the roll profile parameters of the Pilger mill and the variable cross-section mandrel dimensions that match the roll profile parameters are determined; second, based on the roll profile parameters and variable cross-section mandrel dimensions, a finite element analysis three-dimensional model of the rolls and mandrel is established; based on the finite element analysis three-dimensional model, finite element simulation is performed on the niobium alloy thin-walled tubes to predict the macroscopic properties of the niobium alloy thin-walled tubes, and a simulated finished tube model is obtained; finally, the initial texture of the cross-section of the niobium alloy thin-walled tubes is assigned to the simulated finished tube model to predict the microscopic properties, and the microscopic texture evolution law of the niobium alloy thin-walled tubes during the rolling process is obtained.

[0015] Thus, this embodiment of the invention only requires the use of the processing parameters of the niobium alloy thin-walled tube and the technical parameters of the Pilger mill to establish a finite element analysis three-dimensional model of the rolls and mandrel. This finite element analysis three-dimensional model can predict the macroscopic properties of the niobium alloy thin-walled tube throughout the rolling process. After the macroscopic properties are predicted, the initial texture of the cross-section of the niobium alloy thin-walled tube can be assigned to the simulated finished tube model to predict the microscopic properties of the niobium alloy thin-walled tube. In this way, the prediction of both the microscopic and macroscopic properties of the niobium alloy thin-walled tube during the rolling process is achieved. In this embodiment of the invention, performance prediction through simulation is not only unaffected by subjective human factors and environmental factors, but also significantly reduces the process development cycle and lowers production costs. It can obtain the macroscopic properties and microscopic texture of the entire rolling process of the niobium alloy thin-walled tube, improving the efficiency, accuracy, and reliability of performance prediction for niobium alloy thin-walled tubes during the rolling process. Attached Figure Description

[0016] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention 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 only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a method for predicting the performance of niobium alloy thin-walled tubes during the rolling process, as provided in an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of the interface of a Pilger roll pass design software provided in an embodiment of the present invention.

[0019] Figure 3 This is a schematic diagram of a finite element analysis three-dimensional model of a niobium alloy thin-walled tube provided in an embodiment of the present invention.

[0020] Figure 4 This is a schematic diagram of the triaxial stress variation curve during finite element simulation of a niobium alloy thin-walled tube, provided as an embodiment of the present invention.

[0021] Figure 5 This invention provides a radar chart showing the changes in inner and outer diameters of a niobium alloy thin-walled tube during finite element simulation.

[0022] Figure 6 This is a schematic diagram illustrating the springback pattern during finite element simulation of a niobium alloy thin-walled tube, as provided in an embodiment of the present invention.

[0023] Figure 7 This is a schematic diagram illustrating the change of residual stress during finite element simulation of a niobium alloy thin-walled tube, as provided in an embodiment of the present invention.

[0024] Figure 8 This is a schematic diagram of the microstructure evolution of a niobium alloy thin-walled tube during the rolling process, provided as an embodiment of the present invention.

[0025] Figure 9 This is a schematic diagram of a performance evaluation device for niobium alloy thin-walled tubes during the rolling process, provided as an embodiment of the present invention.

[0026] Figure 10 This is a schematic diagram of the structure of an electronic device provided in one embodiment of the present invention. Detailed Implementation

[0027] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a method and apparatus for predicting the performance of niobium alloy thin-walled tubes during the rolling process according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0029] The following description, in conjunction with the accompanying drawings, details the specific scheme of the performance prediction method and apparatus for niobium alloy thin-walled tubes during the rolling process provided by the present invention.

[0030] like Figure 1 As shown in the embodiments of the present invention, the method for predicting the performance of niobium alloy thin-walled tubes during the rolling process includes: Step S101: Obtain the processing parameters of the niobium alloy thin-walled tube and the technical parameters of the Pilger rolling mill.

[0031] Specifically, the processing parameters for niobium alloy thin-walled tubes include, but are not limited to, initial diameter and wall thickness, finished product dimensions and wall thickness, die block gap, and horizontal flattening coefficient. The technical parameters of the Pilger mill include, but are not limited to, stand stroke (the maximum distance the rolls travel during rolling), effective working section length (the actual contact area between the rolls and the tube), synchronous gear pitch circle radius (affecting the synchronization of the roll and mandrel movement), roll diameter (determining rolling force and deformation efficiency), feed rate, warping coefficient, pre-finishing coefficient, reduction section cone angle, and mandrel cone angle.

[0032] Step S102: Determine the roll pass parameters of the Pilger mill and the variable cross-section mandrel size that matches the roll pass parameters based on the processing parameters and technical parameters.

[0033] Specifically, this invention utilizes self-developed Pilger roll pass design software to automatically determine the roll pass parameters of the Pilger mill and the dimensions of the variable cross-section mandrel that match these parameters. The roll pass parameters of the Pilger mill include, but are not limited to, roll pass segment parameters, geometric parameters of each section, and single-sided pass height. The roll pass segment parameters include, but are not limited to, the calculated and actual lengths of the reduction section (which gradually reduces the tube's outer diameter by shrinking the pass diameter), the calculated and actual lengths of the pressing end (which adjusts the wall thickness and controls the radial compression of the tube), the calculated and actual lengths of the pre-finishing section (which initially corrects the shape to prepare for final sizing), and the calculated and actual lengths of the sizing section (which ensures the tube reaches the finished product dimensional accuracy), as well as the calculated and actual lengths of the sizing section. Furthermore, the roll pass segment parameters may also include the feeding section and the rotary section. The cross-sectional geometric parameters include, but are not limited to, opening value, opening width (opening angle), and opening depth.

[0034] Furthermore, the dimensions of the variable cross-section mandrel include, but are not limited to, the diameter and length of the variable cross-section mandrel corresponding to each segment of the bore, such as the diameter of the cylindrical segment of the mandrel, the diameter of the conical segment of the mandrel, the length of the conical segment of the mandrel, and the length of the cylindrical segment of the mandrel. The diameter and length of the variable cross-section mandrel corresponding to each segment of the bore are used to control the internal shape and wall thickness uniformity of the tube.

[0035] Furthermore, embodiments of the present invention can pre-set the correspondence between processing parameters and technical parameters and the roll pass parameters and variable cross-section mandrel dimensions of the Pilger mill. That is, different values ​​of processing parameters and technical parameters each have their corresponding roll pass parameters and variable cross-section mandrel dimensions. This correspondence can be pre-stored in a database. After obtaining the processing parameters of the niobium alloy thin-walled tube and the technical parameters of the Pilger mill, the corresponding roll pass parameters and variable cross-section mandrel dimensions can be retrieved from the database. Alternatively, a calculation program for the processing parameters and technical parameters and the roll pass parameters and variable cross-section mandrel dimensions of the Pilger mill can be pre-set. This calculation program can be pre-stored in a database. After obtaining the processing parameters of the niobium alloy thin-walled tube and the technical parameters of the Pilger mill, the corresponding roll pass parameters and variable cross-section mandrel dimensions can be calculated from the database using this calculation program.

[0036] Furthermore, as an optional embodiment of the present invention, determining the roll pass parameters of the Pilger mill and the variable cross-section mandrel size matching the roll pass parameters based on processing parameters and technical parameters includes: obtaining a first input from a target user on the roll pass design interface, the first input including processing parameters and technical parameters; and, in response to the first input, determining the roll pass parameters corresponding to the processing parameters and technical parameters and the variable cross-section mandrel size matching the roll pass parameters.

[0037] Specifically, the die design interface is the interface diagram of the die design software designed in the embodiment of the present invention. In the interface diagram, the user can customize the input of processing parameters and technical parameters. The die design software in the embodiment of the present invention determines the die parameters of the roll and the variable cross-section mandrel size that matches the die parameters of the roll according to the pre-set correspondence or calculation program in the above embodiment.

[0038] For example, such as Figure 2 As shown, Figure 2 This is a schematic diagram of the interface of a Pilger roll pass design software provided in an embodiment of the present invention. Figure 2 In this invention, the design parameters correspond to the processing parameters in the embodiments of the invention, and the rolling process parameters correspond to the technical parameters in the embodiments of the invention. The rolled section unfolded diagram shows the roll pass parameters of the Pilger mill, such as the working section parameters, the length and corresponding angle of each section of the groove, the pass height, the opening value, the opening angle, and the opening depth. The mandrel parameters show the diameter and length of each section of the mandrel. In this invention embodiment, the processing parameters and technical parameters are input into... Figure 2 After the corresponding position is reached, the automatic output of the roll pass parameters of the Pilger mill and the variable cross-section mandrel dimensions that match the roll pass parameters is generated. Furthermore, Figure 2 It also includes buttons for exporting roll model, exporting mandrel model, and exporting roll cross-section data. After inputting design and technical parameters, users can click the corresponding buttons to output the corresponding models and data.

[0039] Step S103: Based on the die parameters and the dimensions of the variable cross-section mandrel, establish a finite element analysis three-dimensional model of the roll and the mandrel. Based on the finite element analysis three-dimensional model, perform finite element simulation on the niobium alloy thin-walled tube to predict the macroscopic properties of the niobium alloy thin-walled tube and obtain the simulated finished tube model.

[0040] Specifically, after obtaining the hole shape parameters and the dimensions of the variable cross-section mandrel, this embodiment of the invention uses the API interface functions provided by the 3D software, combined with a programming language, to control various functions of the 3D software, such as creating parts, adding features, and setting dimensions.

[0041] Furthermore, as an optional embodiment of the present invention, establishing a finite element analysis three-dimensional model of the roll and mandrel based on the die profile parameters and the variable cross-section mandrel dimensions includes: calling the functions of the three-dimensional application through the API interface functions provided by the three-dimensional application; and passing the die profile parameters and the variable cross-section mandrel dimensions to the three-dimensional application to establish a finite element analysis three-dimensional model of the roll and mandrel through the functions of the three-dimensional application.

[0042] Specifically, the 3D application in this embodiment of the invention can be SolidWorks software. This embodiment uses the API interface functions provided by SolidWorks, combined with the Visual Basic 6.0 programming language, to programmatically control various functions of SolidWorks, such as creating parts, adding features, and setting dimensions. In this embodiment, code is written using Visual Basic 6.0 to call the SolidWorks API interface functions, passing the previously calculated die parameters and variable cross-section mandrel dimensions to the SolidWorks software, thereby creating 3D models of the roll and mandrel based on these parameters.

[0043] More specifically, in this embodiment of the invention, the written Visual Basic 6.0 code needs to be compiled into a program that the computer can directly execute. The compilation process is the conversion of high-level language (such as Visual Basic 6.0 code) into machine language. After compilation, an executable file with the extension .exe is generated. This file contains all the code and resources and can be run directly in the Windows operating system. Furthermore, when the user runs the generated .exe executable program, the program will launch the SolidWorks software through a communication mechanism. This is usually achieved by calling relevant functions of the Windows operating system, such as using system commands or specific API functions to launch a specified application. After launching the SolidWorks software, the executable program will pass the previously calculated die parameters and variable cross-section mandrel dimensions to the SolidWorks software and call the previously written SolidWorks API-based code to automatically create three-dimensional models of the roll and mandrel based on these parameters. The entire process is automated; users only need to run the executable program and do not need to perform tedious modeling operations manually in SolidWorks.

[0044] For example, such as Figure 3 As shown, Figure 3This is a schematic diagram of a finite element analysis three-dimensional model of a niobium alloy thin-walled tube provided for an embodiment of the present invention. The diagram shows three-dimensional models of the rolls and mandrel. The rolls are key components that apply pressure to the tube blank during the rolling process, causing it to undergo plastic deformation. The tube blank, as the original tube material for rolling, is the object of rolling. The mandrel is placed inside the tube blank, supporting it to control its inner diameter and wall thickness uniformity. Pushers propel the tube blank forward according to process requirements during the rolling process, ensuring the smooth progress of the rolling process.

[0045] Furthermore, after obtaining the 3D model for finite element analysis, this 3D model can be directly used for finite element analysis. As an optional embodiment of the present invention, finite element simulation of niobium alloy thin-walled tubes is performed based on the 3D model to predict the macroscopic properties of the niobium alloy thin-walled tubes. The process to obtain the simulated finished tube model includes: pre-processing settings for the finite element analysis software, including setting material properties, analysis steps, interactions, loads, and mesh generation; performing finite element simulation of the 3D model in the finite element analysis software with process parameters of different feed rates and rotation angles to obtain the simulated finished tube model; and extracting macroscopic performance data from the simulation process of the 3D model using the finite element analysis software, including mechanical response, deformation characteristics, and springback behavior.

[0046] Specifically, this embodiment of the invention utilizes finite element analysis software to perform finite element simulation of niobium alloy thin-walled tubes based on the finite element analysis 3D model. The finite element analysis software can be ABAQUS. In this embodiment, preprocessing settings are first performed in ABAQUS before the simulation is implemented. Preprocessing settings include, but are not limited to, setting material properties, analysis steps, interactions, loads, and mesh generation. Material properties define the elasto-plastic parameters of the niobium alloy thin-walled tube (such as elastic modulus, yield strength, and hardening curve), while the rolls and mandrel are set as rigid bodies. The analysis step is used to select a dynamic explicit analysis step to adapt to the large deformation scenario of rolling, and the analysis duration is set to match the roll motion cycle. Interactions establish the contact between the rolls / mandrel and the niobium alloy thin-walled tube, defining the friction coefficient (Coulomb friction) to ensure realistic force transmission simulation. Loads are applied to simulate the actual rolling motion by applying reciprocating displacement loads from the rolls and rotational loads from the mandrel. Mesh generation finely divides the niobium alloy thin-walled tube mesh (e.g., refining the mesh in the contact area), while the rolls / mandrel are simplified to analytical rigid bodies, balancing computational accuracy and efficiency.

[0047] Furthermore, after setting up the finite element analysis software, this embodiment of the invention uses the aforementioned finite element analysis three-dimensional model to simulate different combinations of process parameters such as feed rate (single axial feed rate of niobium alloy thin-walled tube) and rotation angle (single rotation angle of the roll) in the finite element analysis software. This simulates the plastic deformation process of niobium alloy thin-walled tube during Pilger rolling under the aforementioned finite element analysis three-dimensional model of the roll and mandrel, and outputs a simulated finished tube model.

[0048] Furthermore, during the process of obtaining the simulated finished tube model, the post-processing module of ABAQUS software is used to extract data such as mechanical response, deformation characteristics, and springback patterns. The mechanical response includes, but is not limited to, equivalent stress and residual stress. Equivalent stress reflects the equivalent stress values ​​in the X (axial), Y (radial), and Z (circumferential) directions of the niobium alloy thin-walled tube at each stage of rolling. Equivalent stress reflects the peak stress during material deformation. In this embodiment of the invention, the X (axial), Y (radial), and Z (circumferential) stress values ​​of the tube at each stage of rolling are extracted using the ABAQUS post-processing module. Then, stress-time curves are plotted to compare the peak values ​​and distribution of the three-dimensional stress under different process parameters; or stress cloud maps are generated to visually present the stress state in high-stress areas (such as the reduction end and sizing section) during rolling. After simulation, this embodiment of the invention extracts the residual stress of the niobium alloy thin-walled tube at each unloading stage. The residual stress reflects the stress remaining after unloading, which affects dimensional stability. This embodiment of the invention analyzes the correlation between the magnitude and distribution of residual stress and the feed rate and rotation angle through residual stress cloud maps or distribution curves along the wall thickness (e.g., as the feed rate increases, the peak value of residual stress may increase). By analyzing the mechanical response, its distribution pattern at each rolling stage can be analyzed, and high-stress risk areas can be located.

[0049] Deformation characteristics include equivalent strain and changes in inner and outer diameter dimensional accuracy. Equivalent strain analysis is used to assess deformation uniformity, and combined with inner and outer diameter dimensional accuracy data, the impact of process parameters on pipe forming quality is evaluated. This embodiment of the invention utilizes the ABAQUS post-processing module to generate an equivalent strain cloud map, identifying areas of concentrated deformation (such as the diameter reduction section). Then, an equivalent strain-process parameter curve is plotted to analyze the influence of rotation angle and feed rate on overall deformation uniformity. After obtaining the simulated finished pipe model, this embodiment first measures the inner and outer diameter dimensions at different locations on the simulated finished pipe model, compares the deviation with the target dimensions to calculate the deviation, and then plots a dimensional accuracy change curve with feed rate / rotation angle as the abscissa and inner and outer diameter deviation as the ordinate to clarify the trend of parameter influence on accuracy.

[0050] The springback pattern is derived by extracting the dimensions of the niobium alloy thin-walled tube before and after unloading in this embodiment of the invention, and calculating the radial springback amount (e.g., outer diameter springback amount = outer diameter before unloading - final stable outer diameter). Then, through the springback amount-process parameter curve, the influence of feed rate and rotation angle on springback is analyzed (e.g., as the rotation angle increases, the springback amount may first increase and then decrease).

[0051] It is worth noting that finite element simulation of niobium alloy thin-walled tubes based on a 3D model of finite element analysis simulates the macroscopic properties of niobium alloy thin-walled tubes during the rolling process. Data such as mechanical response, deformation characteristics, and springback law reflect the macroscopic properties of niobium alloy thin-walled tubes during the rolling process.

[0052] For example, such as Figures 4 to 7 As shown, Figure 4 This is a schematic diagram of the triaxial stress variation curve during finite element simulation of a niobium alloy thin-walled tube, provided as an embodiment of the present invention. Figure 5 This invention provides a radar chart illustrating the changes in the inner and outer diameters of a niobium alloy thin-walled tube during finite element simulation. Figure 6 This is a schematic diagram illustrating the springback behavior during finite element simulation of niobium alloy thin-walled tubing, as provided in an embodiment of the present invention. Figure 7 This is a schematic diagram illustrating the change of residual stress during finite element simulation of a niobium alloy thin-walled tube, as provided in an embodiment of the present invention. Figure 4 To illustrate this invention, finite element simulations were performed on the Pilger rolling process under different feed rates and rotation angles, resulting in a simulated finished tube model. The variations in equivalent stress, residual stress, equivalent strain, inner and outer diameter dimensional accuracy, and springback during the rolling process were analyzed. Figure 4 The figure shows the stress variation in the AD, RD, and CD directions with angle (°), and the Y-axis represents the stress value (MPa). It is used to analyze the equivalent stress distribution in different directions at the contact point between the niobium alloy thin-walled tube and the roll during the rolling process. Figure 5 In the diagram, a radar chart is used to display the dimensions (mm) of the pipe's inner diameter (orange) and outer diameter (blue) at different angles from 0° to 330°, intuitively reflecting the dimensional accuracy of the inner and outer diameters. Figure 6 The changes in springback under different parameter values ​​(Q=0.89, 1.44, etc.) are presented in the form of radar charts to analyze the influence of process parameters on springback. Figure 7In the diagram, the residual stress cloud map reflects the residual stress generated on the surface of the niobium alloy thin-walled tube at different rolling stages. The upper left corner features a scale representing the stress magnitude; blue to red indicates increasing stress, corresponding to the stress value at the scale position. Specifically, the residual stress distribution is displayed through a color-coded cloud map, with different colors corresponding to different stress value ranges, used to assess the internal residual stress state of the material after rolling. These charts collectively serve to analyze key parameters such as mechanical behavior and dimensional accuracy during the rolling process.

[0053] Step S104: The initial texture of the cross section of the niobium alloy thin-walled tube is assigned to the simulated finished tube model for microscopic performance prediction, thereby obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process.

[0054] Specifically, this invention utilizes electron backscatter diffraction (EBSD) characterization technology to accurately determine the initial grain orientation (i.e., initial texture) on the cross-section of a niobium alloy thin-walled tube. The initial texture data is then input into the initial billet of the simulated finished tube model, ensuring that the initial simulation conditions closely resemble the actual microstructure of the material. EBSD involves bombarding the cross-section of the niobium alloy thin-walled tube with an electron beam, collecting backscattered electrons to form a Kikuchi pattern, and calculating and analyzing the grain orientation. During operation, the cross-section of the niobium alloy thin-walled tube is first finely polished to eliminate surface stress and processing marks. Then, EBSD equipment is used to scan and acquire a large amount of grain orientation data, generating an initial texture (such as the grain orientation distribution function ODF). The initial texture measured by EBSD is input into the initial billet of the simulated finished tube model, ensuring that the initial simulation conditions highly replicate the actual microstructure of the raw material. This provides a precise microscopic starting point for subsequent rolling deformation simulation, ensuring that the simulation more closely resembles the actual material behavior.

[0055] Furthermore, as an optional embodiment of the present invention, the initial texture of the cross-section of the niobium alloy thin-walled tube is assigned to the simulated finished tube model for microscopic performance prediction. The microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process is obtained by: obtaining the initial texture of the cross-section of the niobium alloy thin-walled tube using electron backscatter diffraction; inputting the initial texture into the initial tube blank of the simulated finished tube model, and extracting the initial Euler angles of the grains in the initial tube blank of the simulated finished tube model; and obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process by analyzing the deformation of the initial Euler angles of the grains under different process parameters during the finite element simulation of the simulated finished tube model based on the viscoplastic self-consistent polycrystalline constitutive algorithm.

[0056] Specifically, in this embodiment of the invention, electron backscatter diffraction (EBSD) characterization technology is used to accurately determine the initial grain orientation (i.e., initial texture) on the cross-section of the niobium alloy thin-walled tube. Since ABAQUS natively does not directly output grain Euler angles, an interface program needs to be developed using Python or Fortran. The program is embedded in the ABAQUS solution flow, and the user material subroutine Umat is activated simultaneously when calculating the macroscopic stress and strain of the material. Therefore, this embodiment of the invention performs the aforementioned secondary development on the ABAQUS software. After inputting the initial texture into the initial tube blank of the simulated finished tube model, the initial Euler angles of the grains in the simulated finished tube model after macroscopic simulation are extracted through Umat (the user material subroutine). Euler angles reflect the spatial orientation of the grains, providing a data basis for microscopic texture analysis. Finally, this embodiment of the invention, based on the viscoplastic self-consistent theory, uses the Fortran language to construct a viscoplastic self-consistent polycrystalline constitutive algorithm. This theory considers grain anisotropy and defines the constitutive relations of grain plastic deformation, such as slip system initiation conditions and strain distribution rules. This algorithm combines macroscopic rolling process parameters (such as feed rate and rotation angle) to simulate the interaction of grains during plastic deformation. It calculates the deformation of the initial Euler angles of grains in the simulated finished tube model under different process parameters, revealing the mechanism of microstructure change during the rolling process. When the viscoplastic self-consistent polycrystalline constitutive algorithm runs, it takes macroscopic rolling parameters (feed rate, rotation angle, etc.) as input and iteratively calculates the deformation of the initial Euler angles of each grain in the initial billet of the simulated finished tube model under rolling force, simulating the mutual constraints and coordinated deformation between grains. Based on different process parameters, the viscoplastic self-consistent polycrystalline constitutive algorithm predicts the texture evolution of the finished niobium alloy thin-walled tube, such as the aggregation or dispersion trend of grains with specific orientations, revealing the dynamic change mechanism of microstructure with the rolling process. For example, it can analyze the increase in grains of a certain orientation under a large feed rate, providing a theoretical basis for process optimization and texture control.

[0057] For example, such as Figure 8 As shown, Figure 8 This is a schematic diagram of the microstructure evolution of a niobium alloy thin-walled tube during the rolling process, provided as an embodiment of the present invention. Figure 8In this embodiment of the invention, the Euler angles of the niobium alloy thin-walled tube grains after macroscopic simulation are extracted. Finally, a viscoplastic self-consistent polycrystalline constitutive algorithm based on Fortran language is used to predict the texture, and the microstructure evolution law of each stage during rolling with different process parameters is obtained, including the unrolled section, diameter reduction section, wall reduction section, pre-finishing section, finishing section, and finished section. Below the corresponding position (AF point) of each stage, the distribution and evolution of the niobium alloy thin-walled tube grain orientation (texture) of each stage are presented through pole figures (circular color figures) and orientation distribution function figures (triangular color figures), which are used to analyze the influence of the rolling process on the microstructure of the niobium alloy thin-walled tube.

[0058] Furthermore, the embodiments of the present invention also include experimental verification and process optimization. As an optional embodiment of the present invention, after assigning the initial texture of the cross-section of the niobium alloy thin-walled tube to the simulated finished tube model for microscopic performance prediction and obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process, the method further includes: obtaining the process parameters of the finite element analysis three-dimensional model during the simulation process; selecting niobium alloy thin-walled tube blanks from the same batch and with the same initial state, and conducting rolling tests on the niobium alloy thin-walled tube blanks according to the process parameters of the finite element analysis three-dimensional model during the simulation process, and obtaining the test results; determining the optimal process parameters of the niobium alloy thin-walled tube based on the simulation results of the finite element analysis three-dimensional model under the process parameters and the test results.

[0059] Specifically, the embodiments of this invention first conduct experimental verification, that is, selecting niobium alloy thin-walled tube blanks from the same batch with consistent initial conditions, and strictly following the process parameters set in the simulation (such as multiple sets of feed rates and rotation angle combinations) to conduct rolling tests, ensuring that the test conditions completely match the simulation. After the rolling test is completed, high-precision equipment such as a coordinate measuring machine is first used to measure the inner and outer diameters and wall thickness deviations of the finished niobium alloy thin-walled tubes to determine whether they meet the design tolerance requirements. Then, tensile tests are conducted to obtain indicators such as tensile strength, yield strength, and elongation; a hardness tester is used to detect the overall hardness uniformity of the material to evaluate the impact of rolling on mechanical properties. Next, radial sections of the tubes are cut, and metallographic observation is performed using an optical microscope and a scanning electron microscope to analyze grain morphology and size changes; finally, EBSD technology is used to detect texture, obtain the actual grain orientation distribution after rolling, and compare it with the initial texture to clarify the actual impact of process parameters on texture evolution.

[0060] Then, model verification and correction are performed, which involves comparing the texture data (such as ODF spectra) and quality indicators obtained from the experiment with the simulation results of the finite element analysis 3D model. If the consistency is high, the accuracy of the finite element analysis 3D model is verified to be relatively high; if the deviation is large, the simulation parameters of the finite element analysis 3D model (material properties, contact settings, load application, etc.) are checked back, and the model is corrected until the simulation results match the experimental results.

[0061] Finally, the optimization and derivation of process parameters involves comparing the texture evolution trends and quality differences between simulations and experiments under different process parameters. For example, if a certain combination of feed rate and rotation angle is found to result in consistent texture uniformity and high dimensional accuracy in both simulations and experiments, then that parameter range is locked in. Through multiple analyses, the optimal combination of process parameters for new materials or new sizes of niobium alloy thin-walled tubes is deduced, providing precise guidance for actual production, avoiding the resource waste of traditional trial-and-error methods, and improving process development efficiency.

[0062] This invention only requires the use of processing parameters of niobium alloy thin-walled tubes and technical parameters of the Pilger mill to establish a finite element analysis three-dimensional model of the rolls and mandrel. This finite element analysis three-dimensional model can predict the macroscopic properties of niobium alloy thin-walled tubes throughout the rolling process. After the macroscopic properties are predicted, the initial texture of the cross-section of the niobium alloy thin-walled tube can be assigned to the simulated finished tube model to predict the microscopic properties of the niobium alloy thin-walled tube. Thus, it achieves the prediction of both the microscopic and macroscopic properties of niobium alloy thin-walled tubes during the rolling process. In this invention, performance prediction through simulation is not only unaffected by subjective human factors and environmental factors, but also significantly reduces the process development cycle and lowers production costs. It can obtain the macroscopic properties and microscopic texture of the entire rolling process of niobium alloy thin-walled tubes, improving the efficiency, accuracy, and reliability of performance prediction during the rolling process of niobium alloy thin-walled tubes.

[0063] Corresponding to the performance prediction method for niobium alloy thin-walled tubes during the rolling process provided in the above embodiments, based on the same technical concept, this embodiment of the invention also provides a performance prediction device for niobium alloy thin-walled tubes during the rolling process. This performance prediction device for niobium alloy thin-walled tubes during the rolling process is used to execute the above-described performance prediction method for niobium alloy thin-walled tubes during the rolling process. Figure 9 This is a schematic diagram of a performance prediction device for niobium alloy thin-walled tubes during the rolling process, provided in one embodiment of the present invention. Figure 9As shown, the performance prediction device 900 for niobium alloy thin-walled tubes during the rolling process includes: an acquisition module 901 for acquiring the processing parameters of the niobium alloy thin-walled tubes and the technical parameters of the Pilger mill; a determination module 902 for determining the roll pass parameters of the Pilger mill and the variable cross-section mandrel size matching the roll pass parameters based on the processing parameters and the technical parameters; a prediction module 903 for establishing a finite element analysis three-dimensional model of the rolls and mandrel based on the roll pass parameters and the variable cross-section mandrel size, and performing finite element simulation on the niobium alloy thin-walled tubes based on the finite element analysis three-dimensional model to predict the macroscopic properties of the niobium alloy thin-walled tubes, thereby obtaining a simulated finished tube model; the prediction module 903 is also used to assign the initial texture of the cross-section of the niobium alloy thin-walled tubes to the simulated finished tube model for microscopic performance prediction, thereby obtaining the microscopic texture evolution law of the niobium alloy thin-walled tubes during the rolling process.

[0064] This invention only requires the use of processing parameters of niobium alloy thin-walled tubes and technical parameters of the Pilger mill to establish a finite element analysis three-dimensional model of the rolls and mandrel. This finite element analysis three-dimensional model can predict the macroscopic properties of niobium alloy thin-walled tubes throughout the rolling process. After the macroscopic properties are predicted, the initial texture of the cross-section of the niobium alloy thin-walled tube can be assigned to the simulated finished tube model to predict the microscopic properties of the niobium alloy thin-walled tube. Thus, it achieves the prediction of both the microscopic and macroscopic properties of niobium alloy thin-walled tubes during the rolling process. In this invention, performance prediction through simulation is not only unaffected by subjective human factors and environmental factors, but also significantly reduces the process development cycle and lowers production costs. It can obtain the macroscopic properties and microscopic texture of the entire rolling process of niobium alloy thin-walled tubes, improving the efficiency, accuracy, and reliability of performance prediction during the rolling process of niobium alloy thin-walled tubes.

[0065] Optionally, the determining module 902 is further configured to acquire a first input from the target user in the die design interface, the first input including the processing parameters and the technical parameters; in response to the first input, determine the die parameters of the roll corresponding to the processing parameters and the technical parameters, and the variable cross-section mandrel size matching the die parameters of the roll.

[0066] Optionally, the prediction module 903 is also used to call the functions of the 3D application through the API interface functions provided by the 3D application; to pass the die parameters and the variable cross-section mandrel dimensions to the 3D application, so as to establish a finite element analysis 3D model of the roll and mandrel through the functions of the 3D application.

[0067] Optionally, the prediction module 903 is also used to perform pre-processing settings for the finite element analysis software, including setting material properties, analysis steps, interactions, loads, and mesh generation; performing finite element simulation on the finite element analysis 3D model in the finite element analysis software with process parameters of different feed rates and rotation angles to obtain a simulated finished pipe model; and using the finite element analysis software to extract macroscopic performance data from the simulation process of the finite element analysis 3D model, including mechanical response, deformation characteristics, and springback behavior.

[0068] Corresponding to the performance prediction method for niobium alloy thin-walled tubes during the rolling process provided in the above embodiments, based on the same technical concept, this embodiment of the invention also provides an electronic device for executing the aforementioned performance prediction method for niobium alloy thin-walled tubes during the rolling process. Figure 10 This is a schematic diagram of the structure of an electronic device provided in one embodiment of the present invention, as shown below. Figure 10 As shown. Electronic devices can vary considerably due to differences in configuration or performance, and may include one or more processors 1001 and memories 1002. The memory 1002 stores computer programs that can run on the processor 1001, and the processor 1001 executes the programs stored in the memory 1002 to achieve the above. Figure 1 The various steps in the method embodiment are described. The memory 1002 can be temporary or persistent storage. The application stored in the memory 1002 may include one or more modules (not shown), each module may include a series of computer-executable instructions for the electronic device.

[0069] Furthermore, the processor 1001 may be configured to communicate with the memory 1002 and execute a series of computer-executable instructions stored in the memory 1002 on the electronic device. The electronic device may also include one or more power supplies 1003, one or more wired or wireless network interfaces 1004, one or more input / output interfaces 1005, and one or more keyboards 1006.

[0070] Specifically, in this embodiment, the electronic device includes a processor, a communication interface, a memory, and a communication bus; wherein, the processor, the communication interface, and the memory communicate with each other via the bus; the memory is used to store computer programs; and the processor is used to execute the programs stored in the memory to achieve the above. Figure 1 The various steps in the method embodiments are the same as those in the above method embodiments, and have the same beneficial effects. To avoid repetition, the embodiments of the present invention will not be described again here.

[0071] It should be noted that the electronic device provided in this embodiment of the invention and the performance prediction method for niobium alloy thin-walled tubes during the rolling process provided in this embodiment of the invention are based on the same application concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned performance prediction method for niobium alloy thin-walled tubes during the rolling process, and has the same or similar beneficial effects. Repeated parts will not be repeated.

[0072] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0073] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for predicting the performance of niobium alloy thin-walled tubes during the rolling process, characterized in that, include: Obtain the processing parameters of niobium alloy thin-walled tubes and the technical parameters of the Pilger rolling mill; The roll pass parameters of the Pilger mill and the variable cross-section mandrel size that matches the roll pass parameters are determined based on the processing parameters and the technical parameters. Based on the die shape parameters and the dimensions of the variable cross-section mandrel, a finite element analysis three-dimensional model of the roll and the mandrel is established. Based on the finite element analysis three-dimensional model, a finite element simulation is performed on the niobium alloy thin-walled tube to predict the macroscopic properties of the niobium alloy thin-walled tube, and a simulated finished tube model is obtained. The initial texture of the cross-section of the niobium alloy thin-walled tube is assigned to the simulated finished tube model for microscopic property prediction, thereby obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process. Specifically, this step involves: obtaining the initial texture of the cross-section of the niobium alloy thin-walled tube using electron backscatter diffraction; inputting the initial texture into the initial tube blank of the simulated finished tube model, and extracting the initial Euler angles of the grains in the initial tube blank; and, based on the viscoplastic self-consistent polycrystalline constitutive algorithm, analyzing the deformation of the initial Euler angles of the grains under different process parameters during the finite element simulation of the simulated finished tube model, thereby obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process.

2. The method for predicting the performance of niobium alloy thin-walled tubes during the rolling process according to claim 1, characterized in that, The process of determining the roll pass parameters of the Pilger mill and the variable cross-section mandrel dimensions matching the roll pass parameters based on the processing parameters and the technical parameters includes: Obtain the first input from the target user in the hole design interface, the first input including the processing parameters and the technical parameters; In response to the first input, the roll profile parameters corresponding to the processing parameters and the technical parameters, and the variable cross-section mandrel size matching the roll profile parameters are determined.

3. The method for predicting the performance of niobium alloy thin-walled tubes during the rolling process according to claim 1, characterized in that, The establishment of the finite element analysis three-dimensional model of the roll and mandrel based on the die shape parameters and the variable cross-section mandrel dimensions includes: The functions of the 3D application are invoked through the API interface functions provided by the 3D application. The die profile parameters and the variable cross-section mandrel dimensions are transferred to the 3D application to establish a finite element analysis 3D model of the roll and mandrel using the functions of the 3D application.

4. The method for predicting the performance of niobium alloy thin-walled tubes during the rolling process according to claim 1, characterized in that, The finite element analysis three-dimensional model is used to perform finite element simulation on the niobium alloy thin-walled tube to predict its macroscopic properties, resulting in a simulated finished tube model including: Preprocessing settings are performed on the finite element analysis software, including setting material properties, analysis steps, interactions, loads, and mesh generation. The 3D model of the finite element analysis was simulated in the finite element analysis software with different feed rates and rotation angles to obtain a simulated finished pipe model. The macroscopic performance data of the finite element analysis three-dimensional model simulation process are extracted using the finite element analysis software. The macroscopic performance data includes mechanical response, deformation characteristics, and springback law.

5. The method for predicting the performance of niobium alloy thin-walled tubes during the rolling process according to claim 1, characterized in that, After the initial texture of the cross-section of the niobium alloy thin-walled tube is applied to the simulated finished tube model for microscopic property prediction, and the evolution law of the microscopic texture of the niobium alloy thin-walled tube during the rolling process is obtained, the method further includes: Obtain the process parameters of the finite element analysis three-dimensional model during the simulation process; Niobium alloy thin-walled tube blanks from the same batch and with the same initial state were selected, and rolling tests were conducted on the niobium alloy thin-walled tube blanks according to the process parameters of the finite element analysis three-dimensional model in the simulation process, and the test results were obtained. The optimal process parameters for the niobium alloy thin-walled tube are determined based on the simulation results of the finite element analysis three-dimensional model under the stated process parameters and the experimental results.

6. A performance prediction device for niobium alloy thin-walled tubes during the rolling process, characterized in that, include: The acquisition module is used to acquire the processing parameters of niobium alloy thin-walled tubes and the technical parameters of the Pilger rolling mill; The determination module is used to determine the roll pass parameters of the Pilger mill and the variable cross-section mandrel size that matches the roll pass parameters based on the processing parameters and the technical parameters. The prediction module is used to establish a finite element analysis three-dimensional model of the roll and the mandrel based on the die parameters and the size of the variable cross-section mandrel, and to perform finite element simulation on the niobium alloy thin-walled tube based on the finite element analysis three-dimensional model to predict the macroscopic properties of the niobium alloy thin-walled tube and obtain a simulated finished tube model. The prediction module is further configured to assign the initial texture of the cross-section of the niobium alloy thin-walled tube to the simulated finished tube model for microscopic performance prediction, thereby obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process. Specifically, the microscopic performance prediction involves: obtaining the initial texture of the cross-section of the niobium alloy thin-walled tube using electron backscatter diffraction; inputting the initial texture into the initial tube blank of the simulated finished tube model, and extracting the initial Euler angles of the grains in the initial tube blank of the simulated finished tube model; and, based on the viscoplastic self-consistent polycrystalline constitutive algorithm, analyzing the deformation of the initial Euler angles of the grains under different process parameters during the finite element simulation of the simulated finished tube model, thereby obtaining the microscopic texture evolution law of the niobium alloy thin-walled tube during the rolling process.

7. The performance prediction device for niobium alloy thin-walled tubes during the rolling process according to claim 6, characterized in that, The determining module is further configured to obtain the first input from the target user in the hole design interface, the first input including the processing parameters and the technical parameters; In response to the first input, the roll profile parameters corresponding to the processing parameters and the technical parameters, and the variable cross-section mandrel size matching the roll profile parameters are determined.

8. The performance prediction device for niobium alloy thin-walled tubes during the rolling process according to claim 7, characterized in that, The prediction module is also used to call the functions of the 3D application through the API interface functions provided by the 3D application; The die profile parameters and the variable cross-section mandrel dimensions are transferred to the 3D application to establish a finite element analysis 3D model of the roll and mandrel using the functions of the 3D application.

9. The performance prediction device for niobium alloy thin-walled tubes during the rolling process according to claim 7, characterized in that, The prediction module is also used to perform preprocessing settings for the finite element analysis software, including setting material properties, analysis steps, interactions, loads, and mesh generation. The 3D model of the finite element analysis was simulated in the finite element analysis software with different feed rates and rotation angles to obtain a simulated finished pipe model. The macroscopic performance data of the finite element analysis three-dimensional model simulation process are extracted using the finite element analysis software. The macroscopic performance data includes mechanical response, deformation characteristics, and springback law.

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