Method and system for regulating and controlling volume fraction of variants in high-temperature alloy and medium

Abstract

The invention discloses a method and system for regulating and controlling the volume fraction of variants in high-temperature alloy and a medium, and relates to the field of material science and engineering.The method comprises the steps that grain orientation data of any target high-temperature alloy sample is obtained, and a finite element model is constructed; obtaining the volume fraction of each variant in the target high-temperature alloy sample after electrolytic corrosion; performing a tensile experiment on any target high-temperature alloy sample at different temperatures and different tensile rates to obtain material attributes and a real stress-strain curve of the target high-temperature alloy; performing tensile simulation and creep simulation on the target high-temperature alloy in sequence by utilizing finite element software imported with a finite element model and a crystal plasticity constitutive model, and determining an optimal working condition corresponding to an expected variant volume fraction in the target high-temperature alloy; and under the optimal working condition, the target metal alloy is subjected to heat treatment through a creep stretching machine, and the target high-temperature alloy with the expected variant volume fraction is obtained. The volume fraction of the variants in the high-temperature alloy can be accurately regulated and controlled.

Description

Technical Field

[0001] The present application relates to the field of material 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] The variants in high-temperature alloys refer to the crystal structures with different orientation relationships formed when the alloy material transforms from the matrix parent phase to the precipitation phase during high-temperature heat treatment. The existence and distribution of variants directly affect the mechanical properties and durability of high-temperature alloys. Therefore, precise control of the volume fraction of variants in high-temperature alloys has become the key to improving the performance of high-temperature alloys.

[0003] In the prior art, in order to obtain a high-temperature alloy with a specific variant volume fraction, it is generally necessary to use a creep tensile machine to heat treat the high-temperature alloy under specific working conditions (specific temperature, loading time, loading stress, etc.). However, the specific working conditions corresponding to the specific variant volume fraction usually rely on the staff's experience accumulation and experimental control, and cannot be directly determined, so the actual control effect is not ideal. Summary of the invention

[0004] The purpose of the present 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 to obtain a high-temperature alloy with an expected 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 a variant in a high-temperature alloy, the method for regulating the volume fraction of a variant in a high-temperature alloy comprising:

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

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

[0009] 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;

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

[0011] Based on the material properties, the volume fractions of each variant in the target high-temperature alloy sample after electrolytic corrosion, and the true stress-strain curve, using finite element software imported with the finite element model and the crystal plasticity constitutive model, tensile simulation and creep simulation of the target high-temperature alloy are sequentially performed, and the optimal working condition corresponding to the expected volume fraction of the variant in the target high-temperature alloy is determined;

[0012] Under the optimal working conditions, the target metal alloy is heat treated by 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 regulating 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 use the target high-temperature alloy sample to build a finite element model, and determine the material properties and true stress-strain curve of the target high-temperature alloy, and then use the finite element software that imports the finite element model and the crystal plasticity constitutive model to perform tensile simulation and creep simulation to obtain the variant volume fraction under different working conditions, and finally use the least squares method 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 regulation, and can accurately regulate the variant volume fraction in the high-temperature alloy. 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 drawings required for use in the embodiments will be briefly introduced below. 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 creative labor.

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

[0019] Figure 2 A distribution diagram of grain orientations scanned by an EBSD system provided in an embodiment of the present application;

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

[0021] Figure 4 This is a diagram of the internal structure of a 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 the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0023] The purpose of the present 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 to obtain a high-temperature alloy with a desired volume fraction of variants.

[0024] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with 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, such as Figure 1 As shown, the method for regulating the volume fraction of variants in a high-temperature alloy specifically comprises:

[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 to obtain Figure 2The distribution diagram of different grain orientations is shown. The grain orientation data is generally the coordinates of multiple pixel points obtained by scanning any target high-temperature alloy sample by the EBSD system, and the Euler angle corresponding to the coordinate of each pixel point.

[0031] Furthermore, the pixels scanned by the EBSD system are used to construct nodes in the finite element model. Eight adjacent nodes form a finite element unit, and the average value of the Euler angles of the eight nodes on the unit is taken as the value of the Euler angle of the unit. For adjacent finite element units, if the difference in the Euler angles is less than the set error, it is considered that the adjacent finite element units belong to the same grain, so as to determine the grain ownership of all finite element units, and set the finite element units in each grain as a set, thereby constructing the finite element model used in the 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: Perform 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 sample is first polished, and a tensile specimen is made with reference to the standard of GB / T228.2-2015. Then, a tensile test is performed using different temperatures and tensile rates to obtain a true stress-strain curve of the tensile specimen, and then the material properties (elastic constant, yield strength, hardening rate, etc.) of the target high-temperature alloy at different temperatures and tensile rates are determined. According to actual results, it is proved 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, the tensile simulation and creep simulation of the target high-temperature alloy are performed in sequence using finite element software that imports the finite element model and the crystal plasticity constitutive model, and the optimal working condition corresponding to the expected variant volume fraction in the target high-temperature alloy is determined.

[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. Among them, the finite element software is Abaqus software; the formula used to predict the volume fraction of the variant 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 of any point in the target high-temperature alloy, F t is the deformation gradient of the phase transformation part 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 sign of the determinant, 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 is Figure 3 As shown, the simulated stress-strain curve is compared with the real stress-strain curve, and the parameters of the calibrated 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 volume fraction of variants under different working conditions.

[0045] The fifth step is to select one working condition as the optimal working condition from all working conditions using the least squares method 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.

[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 technology (EBSD, SEM) to 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 the crystal plasticity theory of coupled phase transitions, and can effectively simulate and calculate the evolution of the variant volume fraction of the target high-temperature alloy by 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 may be a server or a terminal, and its internal structure diagram may be as follows: Figure 4 As shown. The computer system includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the 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 the 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 scheme of the present application, and does not constitute a limitation on the computer system to which the scheme 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 arrangement of components.

[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 regulating 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 of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed 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 the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can 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 can 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 database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[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 article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will 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; Acquire grain orientation data of any target high-temperature alloy sample, and construct a finite element model based on the grain orientation data; 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; Conduct tensile tests on any target high-temperature alloy specimen at different temperatures and different tensile rates to obtain the material properties and true stress-strain curve of the target high-temperature alloy; Based on the material properties, the volume fractions of each variant in the target high-temperature alloy sample after electrolytic corrosion, and the true stress-strain curve, using finite element software imported with the finite element model and the crystal plasticity constitutive model, tensile simulation and creep simulation of the target high-temperature alloy are sequentially performed, and the optimal working condition corresponding to the expected volume fraction of the variant in the target high-temperature alloy is determined; Under the optimal working conditions, the target metal alloy is heat treated by 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: Based on the material properties, the volume fractions of each variant in the target high-temperature alloy sample after electrolytic corrosion, and the true stress-strain curve, the tensile simulation and creep simulation of the target high-temperature alloy are sequentially performed using finite element software that imports the finite element model and the crystal plasticity constitutive model, and the optimal working condition corresponding to the expected volume fraction of the variant in the target high-temperature alloy is determined, specifically including: Importing the finite element model and the crystal plasticity constitutive model into finite element software to obtain 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, using finite element software imported into the model, a tensile simulation of the target high-temperature alloy is performed at different tensile rates to obtain a simulated stress-strain curve; The simulated stress-strain curve is compared with the real stress-strain curve, and the parameters of the calibrated 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; 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 volume fraction of variants 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 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.

3. The method for controlling the volume fraction of variants in a high-temperature alloy according to claim 2, characterized in that: The formula used in the crystal plasticity constitutive model to predict the volume fraction of the variants includes: 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 of any point in the target high-temperature alloy, F t is the deformation gradient of the phase transformation part 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 sign of the determinant, σ is the Cauchy stress, : is the double dot product sign, For the The driving force of the variant mechanical part.

4. 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 high-temperature alloy sample.

5. The method for controlling the volume fraction of variants in a high-temperature alloy according to claim 4, 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 the Euler angle corresponding to the coordinate of each pixel point.

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

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

8. 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.

9. 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 8.

10. 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 8 is implemented.

Images