A method, system and medium for controlling the volume fraction of variants in high-temperature alloys

Abstract

This application discloses a method, system, and medium for controlling the volume fraction of variants in a superalloy, relating to the fields of materials science and engineering. The method comprises: obtaining grain orientation data of any target superalloy sample and constructing a finite element model; obtaining the volume fractions of various variants in the target superalloy sample after electrolytic corrosion; performing tensile tests on the target superalloy sample at different temperatures and different tensile rates to obtain the material properties and true stress-strain curve of the target superalloy; using finite element software that imports the finite element model and a crystal plasticity constitutive model, sequentially performing tensile simulations and creep simulations of the target superalloy to determine the optimal operating conditions corresponding to the expected volume fraction of variants in the target superalloy; and, under the optimal operating conditions, heat treating the target metal alloy using a creep tensile machine to obtain the target superalloy with the expected volume fraction of variants. This application enables precise control of the volume fraction of variants in a superalloy.

Description

Technical Field

[0001] The present application relates to the field of materials science and engineering technology, and in particular to a method, system, and medium for regulating the volume fraction of variants in a high-temperature alloy. Background Art

[0002] Variants in superalloys refer to crystal structures with different orientations that form when the matrix phase transforms into precipitated phases during high-temperature heat treatment. The presence and distribution of these variants directly impact the mechanical properties and durability of superalloys. Therefore, precisely controlling the volume fraction of these variants is key to improving their performance.

[0003] In existing technologies, obtaining a high-temperature alloy with a specific variant volume fraction typically requires heat treatment using a creep tensile tester under specific operating conditions (such as temperature, loading time, and loading stress). However, the specific operating conditions corresponding to a specific variant volume fraction typically rely on accumulated experience and experimental control, and cannot be directly determined, resulting in unsatisfactory control results. Summary of the Invention

[0004] The purpose of this application is to provide a method, system and medium for regulating the volume fraction of variants in a high-temperature alloy, which can accurately regulate the volume fraction of variants in a high-temperature alloy and obtain a high-temperature alloy with a desired volume fraction of variants.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for regulating the volume fraction of variants in a high-temperature alloy, the method comprising:

[0007] cutting the target high-temperature alloy to obtain a plurality of target high-temperature alloy specimens;

[0008] Acquiring grain orientation data of any target high-temperature alloy sample, and constructing a finite element model based on the grain orientation data;

[0009] Electrolytically corrode any target high-temperature alloy sample, and obtain the volume fraction of each variant in the target high-temperature alloy sample after electrolytic corrosion;

[0010] Conduct tensile tests on any target superalloy specimen at different temperatures and tensile rates to obtain the material properties and true stress-strain curve of the target superalloy.

[0011] Based on the material properties, the volume fractions of various variants in the target superalloy sample after electrolytic corrosion, and the actual stress-strain curve, finite element software into which the finite element model and the crystal plasticity constitutive model are imported is used to sequentially perform tensile simulation and creep simulation of the target superalloy, and determine the optimal operating condition corresponding to the expected volume fraction of the variants in the target superalloy;

[0012] Under the optimal working conditions, the target metal alloy is heat treated using a creep tensile machine to obtain a target high-temperature alloy with an expected variant volume fraction.

[0013] In a second aspect, the present application also provides a computer system comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for regulating the volume fraction of variants in a high-temperature alloy as described in the first aspect.

[0014] In a third aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for controlling the volume fraction of variants in a high-temperature alloy as described in the first aspect.

[0015] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0016] This application uses a combination of experiments and software analysis to accurately obtain the working conditions corresponding to the expected variant volume fraction in the target high-temperature alloy, and heat treats the target high-temperature alloy under the working conditions to obtain the target high-temperature alloy with the expected variant volume fraction. That is, first, a finite element model is constructed using the target high-temperature alloy sample, and the material properties and the true stress-strain curve of the target high-temperature alloy are determined. Then, the finite element software that imports the finite element model and the crystal plasticity constitutive model is used to perform tensile simulation and creep simulation to obtain the variant volume fraction under different working conditions. Finally, the least squares method is used to accurately select the optimal working condition from multiple working conditions. Therefore, the high-temperature alloy with the expected variant volume fraction in this application is obtained under the optimal working conditions, which can be determined without the need for experience accumulation and repeated control, and the variant volume fraction in the high-temperature alloy can be accurately controlled. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0018] Figure 1A flow chart of a method for controlling the volume fraction of variants in a high-temperature alloy provided in an embodiment of the present application;

[0019] Figure 2 This is a grain orientation distribution map scanned by the EBSD system provided in the embodiment of the present application;

[0020] Figure 3 The simulated and real stress-strain curves provided in the embodiments of this application;

[0021] Figure 4 This is a diagram of the internal structure of the computer system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0023] The purpose of this application is to provide a method, system and medium for regulating the volume fraction of variants in a high-temperature alloy, which can accurately regulate the volume fraction of variants in a high-temperature alloy and obtain a high-temperature alloy with a desired volume fraction of variants.

[0024] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0025] Example 1

[0026] This embodiment provides a method for controlling the volume fraction of variants in a high-temperature alloy. Figure 1 As shown, the method for regulating the volume fraction of variants in a high-temperature alloy specifically includes:

[0027] Step S1: cutting the target high-temperature alloy to obtain a plurality of target high-temperature alloy specimens.

[0028] In this embodiment, the target high-temperature alloy is a nickel-based high-temperature alloy.

[0029] Step S2: Obtain grain orientation data of any target high-temperature alloy sample, and construct a finite element model based on the grain orientation data.

[0030] In this embodiment, an electron backscattered diffraction (EBSD) system is used to obtain grain orientation data of any target high-temperature alloy sample. Figure 2The grain orientation data are generally the coordinates of multiple pixels obtained by scanning any target high-temperature alloy sample with an EBSD system, as well as the Euler angle corresponding to the coordinates of each pixel.

[0031] Furthermore, the pixels scanned by the EBSD system were used to construct nodes in the finite element model. Eight adjacent nodes formed a finite element unit, and the average of the Euler angles of the eight nodes on the unit was taken as the Euler angle value of the unit. For adjacent finite element units, if the difference in Euler angles was less than the set error, the adjacent finite element units were considered to belong to the same grain. This was used to determine the grain affiliation of all finite element units, and the finite element units in each grain were set as a collection. This constructed the finite element model used in subsequent finite element software simulation analysis.

[0032] Step S3: electrolytically corrode any target high-temperature alloy sample, and obtain the volume fraction of each variant in the target high-temperature alloy sample after electrolytic corrosion.

[0033] In this embodiment, any target high-temperature alloy sample is electrolytically corroded for 3 to 6 seconds, and then a field emission scanning electron microscope (SEM) is used to observe the microstructure of the target high-temperature alloy sample after electrolytic corrosion, and the volume fraction of each variant is counted and calculated.

[0034] Step S4: performing a tensile test on any target high-temperature alloy sample at different temperatures and different tensile rates to obtain the material properties and true stress-strain curve of the target high-temperature alloy.

[0035] In this embodiment, any target high-temperature alloy specimen is first polished, and a tensile specimen is prepared with reference to the standard GB / T228.2-2015. Then, tensile tests are performed at different temperatures and tensile rates to obtain true stress-strain curves of the tensile specimens. The material properties (elastic constants, yield strength, hardening rate, etc.) of the target high-temperature alloy at different temperatures and tensile rates are then determined. Actual results show that the material properties of the target high-temperature alloy do not change with changes in temperature and tensile rate.

[0036] Step S5: Based on the material properties, the volume fractions of various variants in the target high-temperature alloy sample after electrolytic corrosion, and the actual stress-strain curve, finite element software with an imported finite element model and a crystal plasticity constitutive model is used to sequentially perform tensile simulation and creep simulation of the target high-temperature alloy, and determine the optimal operating conditions corresponding to the expected volume fraction of the variants in the target high-temperature alloy.

[0037] In this embodiment, step S5 specifically includes:

[0038] The first step is to import the finite element model and the crystal plasticity constitutive model into the finite element software to obtain the finite element software of the imported model. The finite element software is Abaqus software; the formula used to predict the variant volume fraction in the crystal plasticity constitutive model includes:

[0039] F=F e F p F t ,

[0040]

[0041] F is the deformation gradient at any point in the target high-temperature alloy, F e is the elastic deformation gradient of any point in the target high-temperature alloy, F p is the plastic deformation gradient at any point in the target high-temperature alloy, F t is the deformation gradient of the phase transformation at any point in the target high-temperature alloy, is the phase transformation velocity gradient at any point in the target high-temperature alloy, N f is the total number of variant types, ε β is the misfit strain caused by the β-th variant per unit volume, is the first derivative of the volume fraction of the βth variant, is the material constant, is the driving force for phase transition, γ SF is the stacking fault energy per unit volume, h t is the average molecular layer height of the stacking fault energy, q β is the resistance of phase transition in the βth variant, sgn(·) is the sign function, det is the determinant sign, σ is the Cauchy stress, : is the double dot product sign, For the The driving force of the mechanical part of the variant.

[0042] In the second step, based on the material properties and the volume fractions of various variants in the target high-temperature alloy specimen after electrolytic corrosion, the finite element software with the imported model was used to perform tensile simulation of the target high-temperature alloy at different tensile rates to obtain the simulated stress-strain curve.

[0043] The third step, such as Figure 3 As shown, the simulated stress-strain curve is compared with the real stress-strain curve, and the parameters of the calibration crystal plasticity constitutive model are adjusted until the difference between the simulated stress-strain curve and the real stress-strain curve is less than a set threshold; wherein the set threshold is 10%.

[0044] The fourth step is to update the finite element software of the imported model based on the adjusted and calibrated crystal plasticity constitutive model, and perform creep simulation of the target high-temperature alloy under different working conditions to predict the variant volume fraction under different working conditions.

[0045] In the fifth step, based on the expected variant volume fraction in the target high-temperature alloy and the variant volume fraction under different working conditions obtained by creep simulation of the target high-temperature alloy, the least squares method is used to select one working condition from all working conditions as the optimal working condition.

[0046] Step S6: Under optimal working conditions, the target metal alloy is heat treated using a creep tensile machine to obtain a target high-temperature alloy having a desired variant volume fraction.

[0047] In summary, this embodiment utilizes existing material microstructure characterization techniques (EBSD, SEM) to effectively obtain the microstructure information of the target high-temperature alloy, thereby providing accurate parameters and material structure information for subsequent calculations. Secondly, this embodiment develops a crystal plasticity theory of coupled phase transitions, which can effectively simulate and calculate the evolution of the variant volume fraction of the target high-temperature alloy using finite element software that imports finite element models and crystal plasticity constitutive models. Finally, this embodiment utilizes existing heat treatment technology to effectively perform heat treatments under various working conditions, thereby achieving the regulation of the evolution of each variant.

[0048] Example 2

[0049] This embodiment provides a computer system, which can be a server or a terminal. Its internal structure diagram can be as follows: Figure 4 As shown. The computer system includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer system is used to provide computing and control capabilities. The memory of the computer system includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer system is used to exchange information between the processor and an external device. The communication interface of the computer system is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for regulating the volume fraction of variants in a high-temperature alloy is implemented.

[0050] Those skilled in the art will understand that Figure 4The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer system to which the solution of the present application is applied. The specific computer system may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0051] Example 3

[0052] This embodiment provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the above-mentioned method for controlling the volume fraction of variants in a high-temperature alloy.

[0053] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0054] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0055] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0056] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0057] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for regulating the volume fraction of variants in a high-temperature alloy, characterized in that: The method for regulating the volume fraction of variants in a high-temperature alloy comprises: cutting the target high-temperature alloy to obtain a plurality of target high-temperature alloy specimens; Acquiring grain orientation data of any target high-temperature alloy sample, and constructing a finite element model based on the grain orientation data; Electrolytically corrode any target high-temperature alloy sample, and obtain the volume fraction of each variant in the target high-temperature alloy sample after electrolytic corrosion; Conduct tensile tests on any target superalloy specimen at different temperatures and tensile rates to obtain the material properties and true stress-strain curve of the target superalloy. Based on the material properties, the volume fractions of various variants in the target high-temperature alloy sample after electrolytic corrosion, and the actual stress-strain curve, the finite element software that imports the finite element model and the crystal plasticity constitutive model is used to sequentially perform tensile simulation and creep simulation of the target high-temperature alloy, and determine the optimal working condition corresponding to the expected volume fraction of the variant in the target high-temperature alloy, specifically including: importing the finite element model and the crystal plasticity constitutive model into the finite element software to obtain the finite element software of the imported model; based on the material properties and the volume fractions of various variants in the target high-temperature alloy sample after electrolytic corrosion, the finite element software that imports the model is used to perform tensile simulation of the target high-temperature alloy at different tensile rates to obtain a simulated stress-strain curve. ; Compare the simulated stress-strain curve with the actual stress-strain curve, and adjust the parameters of the calibrated crystal plasticity constitutive model until the difference between the simulated stress-strain curve and the actual stress-strain curve is less than a set threshold; update the finite element software of the imported model based on the adjusted and calibrated crystal plasticity constitutive model, and perform creep simulation of the target high-temperature alloy under different working conditions to predict the variant volume fraction under different working conditions; based on the expected variant volume fraction in the target high-temperature alloy and the variant volume fraction under different working conditions obtained by the creep simulation of the target high-temperature alloy, use the least squares method to select one working condition from all working conditions as the optimal working condition; wherein, the formula for predicting the variant volume fraction in the crystal plasticity constitutive model includes: F=F e F p F t , F is the deformation gradient at any point in the target high-temperature alloy, F e is the elastic deformation gradient of any point in the target high-temperature alloy, F p is the plastic deformation gradient at any point in the target high-temperature alloy, F t is the deformation gradient of the phase transformation at any point in the target high-temperature alloy, is the phase transformation velocity gradient at any point in the target high-temperature alloy, N f is the total number of variant types, ε β is the misfit strain caused by the β-th variant per unit volume, is the first derivative of the volume fraction of the βth variant, is the material constant, is the driving force for phase transition, γ SF is the stacking fault energy per unit volume, h t is the average molecular layer height of the stacking fault energy, q β is the resistance of phase transition in the βth variant, sgn(·) is the sign function, det is the determinant sign, σ is the Cauchy stress, : is the double dot product sign, p φ For the The driving force of the mechanical part of each variant; Under the optimal working conditions, the target metal alloy is heat treated using a creep tensile machine to obtain a target high-temperature alloy with an expected variant volume fraction.

2. The method for controlling the volume fraction of variants in a high-temperature alloy according to claim 1, characterized in that: The EBSD system is used to obtain grain orientation data of any target superalloy sample.

3. The method for controlling the volume fraction of variants in a high-temperature alloy according to claim 2, characterized in that: The grain orientation data includes: coordinates of a plurality of pixel points obtained by scanning any target high-temperature alloy sample by the EBSD system, and Euler angles corresponding to the coordinates of each pixel point.

4. The method for controlling the volume fraction of variants in a high-temperature alloy according to claim 1, wherein: Electrolytic corrosion is performed on any target high-temperature alloy sample, and the volume fraction of each variant in the target high-temperature alloy sample after electrolytic corrosion is obtained, specifically including: Electrolytically corrode any target high-temperature alloy sample for 3 to 6 seconds; Field emission scanning electron microscopy was used to observe the microstructure of the target high-temperature alloy sample after electrolytic corrosion, and the volume fraction of each variant was counted and calculated.

5. The method for controlling the volume fraction of variants in a high-temperature alloy according to claim 1, wherein: The optimal working conditions include at least: optimal temperature, optimal loading stress and optimal loading time.

6. The method for controlling the volume fraction of variants in a high-temperature alloy according to claim 1, characterized in that: The finite element software is Abaqus software.

7. A computer system comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for controlling the volume fraction of variants in a high-temperature alloy according to any one of claims 1 to 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for controlling the volume fraction of variants in a high-temperature alloy according to any one of claims 1 to 6 is implemented.

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