Virtual verification method for service performance of alloy material element

Abstract

The invention discloses a virtual verification method for the service performance of an alloy material element, and belongs to the technical field of element service performance prediction, and the method comprises the steps: obtaining the intrinsic attribute of an alloy material used for manufacturing an element in a to-be-verified system; simulating the actual service conditions of the to-be-verified system and the elements in the system by adopting a preset simulation method to obtain service state information of the elements in the to-be-verified system under the actual service conditions; the service state information of the element under the actual service condition is compared with the intrinsic attribute of the alloy material; and verifying the service performance of the alloy material element according to a comparison result. By the adoption of the scheme, virtual verification of the service performance of the alloy element is carried out before an experiment, the experiment cost is reduced, and the design and research and development cycle of a new alloy element product is shortened.

Description

Technical Field

[0001] The invention relates to the technical field of component service performance prediction, and in particular to a virtual verification method for the service performance of an alloy material component. Background Art

[0002] Alloy materials have been widely used in key fields such as aerospace, automobile manufacturing, and energy equipment due to their excellent mechanical properties, corrosion resistance, and high-temperature stability. In these application scenarios, alloy material components usually need to work for a long time in complex service environments, and their performance stability and reliability directly affect the safety and life of the overall system. Therefore, in the design and manufacturing process of alloy material components, accurately predicting their performance under actual service conditions has become a crucial research topic.

[0003] Virtual verification technology can test and verify the performance of products or materials in a virtual environment through calculation, simulation, emulation and other methods. Using virtual verification technology can detect potential problems in advance in the early stage of product design, reduce the number and cost of actual experiments, thereby accelerating the product development process and improving the design quality. Although virtual verification technology has significant advantages in reducing costs and accelerating product development, it still faces high data dependence and system complexity in the virtual verification of the service performance of alloy components. At present, there are many mechanical property prediction methods for alloy materials. For example, machine learning simulation or other mechanical property models are used to predict the mechanical properties of alloy materials. Chinese patent CN202410580891.6 discloses a method for predicting the mechanical properties of alloys. The method performs stress analysis on the alloy by establishing an alloy crystal model and setting tensile conditions. Chinese patent CN 116822367 A discloses a method for predicting the mechanical properties of IF steel based on an LSTM model. The method selects IF steel samples, processes data vacancies and outliers, and uses LSTM models for training to predict the yield strength, tensile strength, and elongation of IF steel.

[0004] The above-mentioned prior art does not go deep into the prediction of the service performance of alloy components, but only focuses on the prediction of the intrinsic mechanical properties of alloy materials. This is because the virtual verification of the service performance of alloy components requires not only the prediction of mechanical properties through models, but also the acquisition of a large amount of data through experiments to calibrate the models. In addition, the complex microstructure and multiphase characteristics of alloy materials, as well as the fact that their service performance is affected by multiple factors such as stress state, temperature change, and corrosive environment, make it difficult to fully execute the virtual verification process. These complexities bring great challenges to ensuring the smooth completion of the entire verification process. Summary of the invention

[0005] The present invention provides a virtual verification method for the service performance of an alloy material component, so as to solve the technical problem that the existing service performance prediction and verification of alloy material components are difficult to achieve.

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

[0007] In one aspect, the present invention provides a virtual verification method for service performance of an alloy material component, comprising:

[0008] Obtaining the intrinsic properties of the alloy material used to make the components in the system to be verified;

[0009] Using a preset simulation method, the actual service conditions of the system to be verified and the components in the system to be verified are simulated to obtain the service status information of the components in the system to be verified under the actual service conditions;

[0010] Compare the service status information of the component under actual service conditions with the intrinsic properties of the alloy material;

[0011] Based on the comparison results, the service performance of alloy material components can be verified.

[0012] Furthermore, the intrinsic properties of the alloy material include: elastic modulus of the alloy material, density of the alloy material, yield strength of the alloy material, tensile strength of the alloy material and elongation at break of the alloy material.

[0013] Furthermore, the intrinsic properties of the alloy material used to make the components in the system to be verified are obtained, including:

[0014] Collect basic information of alloy materials and establish an initial data set of alloy materials; wherein the basic information of alloy materials includes: alloy composition, heat treatment process, structure and performance;

[0015] The missing characteristic data in the initial data set of the alloy material are supplemented by first principle calculation and thermal / dynamic calculation to establish a complete data set of the alloy material; wherein the missing characteristic data include: organizational parameters and physical property parameters of the precipitated phase; wherein the organizational parameters and physical property parameters of the precipitated phase include: number density and volume fraction of the precipitated phase in the alloy, Young's modulus and Poisson's ratio of the alloy material;

[0016] Using a preset data dimension reduction algorithm to perform data dimension reduction processing on the data in the complete alloy material data set to obtain a dimension-reduced alloy material data set;

[0017] The preset machine learning model is trained using the alloy material data set after dimensionality reduction to obtain a mechanical property prediction model for the alloy material, and the mechanical properties of the alloy material are predicted using the alloy material mechanical property prediction model; wherein the input of the alloy material mechanical property prediction model is the basic information of the alloy material after dimensionality reduction, the organizational parameters and physical property parameters of the precipitated phase, and the output is the mechanical properties of the alloy material;

[0018] Use the mechanical properties model to calculate the yield strength of alloy materials;

[0019] The intrinsic properties of the alloy material are obtained according to the prediction results of the alloy material mechanical property prediction model and the calculation results of the mechanical property model.

[0020] Furthermore, the organizational parameters of the precipitated phase are calculated using the KWN precipitation model.

[0021] Furthermore, the expression of the mechanical property model is:

[0022]

[0023] Among them, σ y represents the yield strength of the alloy material; σ0 represents the basic strength of the alloy material itself; Δσ gb Indicates the grain boundary strengthening effect; Δσ ss Indicates the solid solution strengthening effect; Δσ p Indicates the precipitation strengthening effect; Δσ dis Indicates the work hardening effect; k is a coefficient, and its value is 1 or 2. When the value of k is 1, it corresponds to the linear superposition law, and when the value of k is 2, it corresponds to the Pythagorean superposition law.

[0024] Furthermore, the service status information of the component under actual service conditions includes: stress, strain and temperature borne by the component under actual service conditions.

[0025] Furthermore, the preset simulation method is used to simulate the actual service conditions of the system to be verified and the components in the system to be verified, and the service status information of the components in the system to be verified under the actual service conditions is obtained, including:

[0026] System simulation: In the system simulation, the input is the system structure and mesh division, the boundary conditions and initial conditions of each component in the system, the properties of the same materials of each component, the system service conditions, and the initial conditions and boundary conditions of the system service conditions; the output after simulation is the state and parameter evolution of each component, including: stress-strain, stress-strain-time, stress-strain-temperature and stress-strain-fluid under static load;

[0027] Simulation on material components: In the simulation on material components, the input is the component's geometry, meshing, material properties, initial and boundary conditions of the component, and the component's state and parameter evolution; the output after simulation is the service status information of all mesh cells on the component under actual service conditions.

[0028] Furthermore, the service status information of the component under actual service conditions is compared with the intrinsic properties of the alloy material, including:

[0029] The service status information of each grid unit on the component under actual service conditions is compared with the intrinsic properties of the alloy material.

[0030] Furthermore, the verification of the service performance of the alloy material component according to the comparison result includes:

[0031] The performance of each grid unit is determined based on the service status information of each grid unit on the component under actual service conditions, and the mechanical properties of the alloy material are determined based on the intrinsic properties of the alloy material. If the performance of a grid unit is less than the corresponding mechanical properties of the alloy material, it is determined that the corresponding component cannot meet the service requirements.

[0032] Furthermore, when the service performance of the alloy material component is verified based on the comparison results, the verification results include elastic deformation, plastic deformation, cracking and breakdown of the component.

[0033] On the other hand, the present invention further provides an electronic device, comprising a processor and a memory; wherein the memory stores at least one instruction, and the instruction is loaded and executed by the processor to implement the above method.

[0034] In yet another aspect, the present invention further provides a computer-readable storage medium, wherein at least one instruction is stored in the storage medium, and the instruction is loaded and executed by a processor to implement the above method.

[0035] The beneficial effects brought about by the technical solution provided by the present invention include at least:

[0036] The present invention provides a more accurate and reliable virtual verification method for the service performance of alloy material components. By combining system simulation, component simulation, theoretical calculation, etc., it solves the problem of predicting the service capability of alloy material components and judging the failure form. This method can fully consider the complexity of alloy materials and accurately predict the performance of components under actual service conditions. This method improves the performance evaluation and process optimization capabilities of alloy materials in practical applications. By performing virtual verification of the service performance of alloy components before the experiment, the number of experimental repetitions can be reduced, the experimental cost can be reduced, and the design and development cycle of new alloy component products can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 It is a flow chart of a virtual verification method of the service performance of an alloy material component provided by an embodiment of the present invention;

[0039] Figure 2 It is a detailed flow chart of a virtual verification method for service performance of an alloy material component provided by an embodiment of the present invention;

[0040] Figure 3 It is a schematic diagram of a virtual verification method for service performance of an alloy material component provided by an embodiment of the present invention;

[0041] Figure 4 It is a schematic diagram of simulation of the stretching process of an aluminum alloy original part with a hole provided by an embodiment of the present invention;

[0042] Figure 5 It is a system block diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0044] First of all, it should be noted that in the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "exemplarily" is intended to present the concept in a concrete way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0045] First embodiment

[0046] This embodiment provides a virtual verification method for the service performance of alloy material components, which aims to achieve full-process virtual verification of the service performance of alloy materials through thermodynamic calculation, first principle calculation, data set establishment, model training and finite element simulation without conducting experiments, greatly reducing the design cost of alloy material components and providing strong support for the design and optimization of alloy material components. Reduce experimental costs, optimize the design and verification process of alloy components, and ensure the reliability of components in practical applications.

[0047] The method can be implemented by an electronic device, and the execution process of the method is as follows: Figure 1 As shown, the following steps are included:

[0048] S1, obtaining the intrinsic properties of the alloy material used to make the components in the system to be verified;

[0049] Among them, it should be noted that the acquisition of new material properties can be obtained by collecting data or by various calculation methods. For example, the yield strength of new materials can be predicted by thermodynamic models or machine learning models. Before calculation, it is necessary to collect information such as the composition and preparation process of the alloy material. The intrinsic properties of the material and the macroscopic properties of the material are calculated and output through the material organization model and performance prediction model. The output data includes the elastic modulus E of the material, the material density, the yield strength of the material, the tensile strength, the elongation at break, etc.

[0050] Specifically, Figure 2 As shown in Figure 1, the process of obtaining the new material properties in S1 is as follows:

[0051] S11, material organization and acquisition of new material properties;

[0052] Among them, in the above S11, the organization and intrinsic properties of the material are obtained by collecting and collating literature data, thermal / dynamic calculations, first principle calculations, etc. The KWN precipitation model is used to calculate the organizational parameter information of the precipitated phase, and the formula is as follows:

[0053]

[0054] Where N0 is the nucleation density, Z is the Zeldovich factor, and β * is the atomic attachment rate, t is the time, τ is the incubation time of nucleation, k is the Boltzmann constant, and T represents the temperature.

[0055] S12, performance model calculation;

[0056] In the above S12, the mechanical properties of the material are calculated by the mechanical properties model, and the formula is as follows:

[0057]

[0058] In the formula, σ y is the yield strength of the alloy; σ0 is the basic strength of the material itself; Δσ gb , Δσ ss , Δσ p , Δσ dis They are grain boundary strengthening effect, solid solution strengthening effect, precipitation strengthening effect, and work hardening effect respectively; the coefficient k is between 1 and 2, when k is 1, it corresponds to the linear superposition law, and when k is 2, it corresponds to the Pythagorean superposition law.

[0059] S13, outputting mechanical properties such as yield strength and tensile strength of the material; wherein the mechanical properties can be calculated by a mechanical properties model, or obtained by an established machine learning model.

[0060] S2, using a preset simulation method to simulate the actual service conditions of the system to be verified and the components in the system to be verified, and obtain the service status information of the components in the system to be verified under the actual service conditions;

[0061] It should be noted that the system is composed of multiple components. The simulation of the system requires setting the input parameters of the system and outputting the state and parameter evolution of each component through simulation calculation. After inputting the state and parameter evolution of the component, the simulation on the material component is performed. The input at this time is the output result obtained by the system simulation. Before simulating the material component, the geometric shape and mesh division of the component are set, and the initial conditions and boundary conditions of the component are set. Specifically, Figure 2 and Figure 3 As shown, the simulation process is as follows:

[0062] S21, system simulation; the simulation of the system still uses the method of establishing a finite element model. A system model containing multiple components is established in the simulation software, boundary conditions are set, the simulation of the parts system under different conditions is realized, and the results are finally extracted from the simulation results. In the simulation of the system, the input is the system structure and mesh division, the boundary conditions and initial conditions of each component in the system, the properties of similar materials of each component, the service conditions of the system, the initial conditions and boundary conditions of the system. The output after simulation is the state and parameter evolution of each component, including: stress-strain under static load, stress-strain-time, stress-strain-temperature, stress-strain-fluid, etc.

[0063] S22, simulation on material elements; in the simulation on material elements, the input is the state and parameter evolution of the element, including: the geometric shape of the element, mesh division, properties of the new material, initial conditions and boundary conditions of the element, etc. After calculation and simulation, the calculation results are output. The output results are the states of all mesh units on the element, including: stress, strain, temperature, etc.

[0064] S23, by collecting and organizing the data obtained after the calculation simulation, the status of all grid units on the component is output: stress, strain, temperature, etc.

[0065] S3, comparing the service status information of the component under actual service conditions with the intrinsic properties of the alloy material;

[0066] S4, based on the comparison results, verify the service performance of the alloy material components;

[0067] Among them, it should be noted that this embodiment judges the service performance of the alloy element by comparing the performance of each grid unit in the material element with the predicted performance of the new material, that is, by comparing the stress, strain, temperature and other information borne by each small unit of the material element in the service state with the alloy material properties calculated by the model, the performance of the element is evaluated. Component performance evaluation includes plastic deformation, cracking, temperature change, breakdown, etc. It is mainly through comparing the stress of different micro-grids in the simulation with the calculated material mechanical properties (yield strength, the unit of stress is consistent with the unit of yield strength) and the difference between the deformation of the small unit cell and the calculated fracture elongation. Using the same time step, the stress magnitude and deformation change of different cells at the main force of the element at different service times are extracted. In the process of increasing the force of the grid unit in service, if there is a grid unit whose mechanical properties are greater than the calculated material mechanical properties, it is determined that the element cannot meet the service requirements. The specific yield phenomenon of the alloy material element is determined according to the distribution position of the unit grid where the service requirements are not met and the yield or fracture phenomenon occurs, and finally a complete virtual verification process of the service performance of the alloy element is realized. It should be noted that when the stress at the small unit cell exceeds the intrinsic yield strength of the material calculated by the model, the small unit cell will undergo plastic deformation as the stress time increases and the stress further increases. The type of service failure is determined based on the location of the different units where yielding and fracture occur. For example, in the example of the original with holes, when the stress at some units at the center hole is greater than the calculated yield strength, a crack source is formed at the unit cell, and eventually fracture occurs.

[0068] In summary, this embodiment provides a virtual verification method for the service performance of alloy material components, which realizes the full-process virtual verification of the service performance of alloy material components based on thermal / dynamic calculations, first-principles calculations, finite element simulations and other methods. It provides strong support for the design and optimization of alloy material components. It reduces the experimental cost, optimizes the design and verification process of alloy components, and ensures the reliability of components in practical applications.

[0069] Second embodiment

[0070] This embodiment takes the virtual verification of an aluminum alloy component with a hole as an example to illustrate the implementation process of the method.

[0071] Step 1

[0072] Collect basic information of 7xxx alloys, such as alloy composition, heat treatment process, organization, performance, etc., to establish an initial data set of aluminum alloy materials; supplement the missing parts of the data set through first-principles calculations and thermal / dynamic calculations. The supplemented characteristic data mainly include the organizational parameters and physical property parameters of the precipitated phase, such as the number density and volume fraction of the precipitated phase in the alloy, the Young's modulus and Poisson's ratio of the alloy material, to establish a complete 7xxx aluminum alloy data set; use data dimensionality reduction methods such as filtering, embedding, and wrapping to reduce data dimensionality and establish the latest 7xxx aluminum alloy data set; evaluate different machine learning models and use the reduced dimensionality data set to train the model; use the trained mechanical property model for the prediction of the mechanical properties of 7xxx aluminum alloys.

[0073] Step 2

[0074] The mechanical properties model / machine learning model is used to calculate the mechanical properties of the alloy material of the hole component. The mechanical properties model has the following formula:

[0075]

[0076] In the formula, σ y is the yield strength of the alloy; σ0 is the basic strength of the material itself; Δσ gb , Δσ ss , Δσ p , Δσ dis They are grain boundary strengthening effect, solid solution strengthening effect, precipitation strengthening effect, and work hardening effect respectively; the coefficient k is between 1 and 2, when k is 1, it corresponds to the linear superposition law, and when k is 2, it corresponds to the Pythagorean superposition law.

[0077] Step 3

[0078] According to the calculation results of different models, the basic properties of the material such as yield strength and tensile strength are output.

[0079] Step 4

[0080] The system is composed of multiple components. The simulation of the system requires setting the input parameters of the system and outputting the status and parameter evolution of each component through simulation calculation. The system simulation conditions are set according to the calculation results and the collected material organization, new material properties, etc. After the setting is completed, the simulation of the next material component is entered.

[0081] Step 5

[0082] After the state and parameter evolution of the input component, the simulation on the material component is carried out. The input at this time is the output result obtained by the system simulation. Before simulating the material component, set the component's geometry, mesh division, and set the component's initial conditions and boundary conditions. The mesh division method of the original with a hole is as follows Figure 4As shown in the figure, more grid numbers are set around the circular hole to better analyze the changes in the stress concentration area.

[0083] Step 6

[0084] Output the status of all mesh elements on the component based on the simulation results: stress, strain, temperature, etc.

[0085] Step 7

[0086] The results obtained from the two modules are compared to determine the state change of the component when it is subjected to force.

[0087] Step 8

[0088] The results of model calculation and component simulation show that when the perforated original part is subjected to transverse tension, the yield strength of the alloy material itself is 575.15Mpa. When the perforated aluminum alloy component undergoes plastic deformation, the maximum stress at the crack source is 587.96Mpa. The component first undergoes plastic deformation during the stress process, then cracks are generated at the center hole position, and finally cracks. Figure 4 shown.

[0089] After completing all the steps, the full-process virtual verification of the changes of aluminum alloy perforated components under tension is achieved.

[0090] Third embodiment

[0091] This embodiment provides an electronic device, such as Figure 5 As shown, the electronic device includes: a processor and a memory; wherein the processor and the memory can be connected via a communication bus; the memory stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method of the first embodiment. In addition, the electronic device may also include a transceiver, the processor and the transceiver can be connected via a communication bus, and the transceiver is used to communicate with other devices.

[0092] Next, combine Figure 5 The following is a detailed introduction to the various components of the electronic device:

[0093] Among them, the processor is the control center of the electronic device, and the electronic device may include multiple processors, each of which may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor here may be a processor or a general term for multiple processing elements. For example, the processor is one or more central processing units (CPUs), or other general-purpose processors, application specific integrated circuits (ASICs), or one or more integrated circuits configured to implement an embodiment of the present invention, such as one or more microprocessors (digital signal processors, DSPs), or one or more field programmable gate arrays (field programmable gate arrays, FPGAs), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor may execute various functions of the electronic device by running or executing software programs stored in the memory and calling data stored in the memory.

[0094] In a specific implementation, as an embodiment, the processor may include one or more CPUs, such as Figure 5 The CPU0 and CPU1 shown in the figure are, of course, only exemplary.

[0095] The memory is used to store the software program for executing the solution of the present invention, and the execution is controlled by the processor. The specific implementation method can refer to the above method embodiment and will not be repeated here.

[0096] Optionally, the memory may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be integrated with the processor or exist independently and accessed through the interface circuit ( Figure 5 (not shown) is coupled to the processor, which is not specifically limited in this embodiment of the present invention.

[0097] The transceiver may include a receiver and a transmitter ( Figure 5 The receiver is used to implement the receiving function, and the transmitter is used to implement the sending function. The transceiver can be integrated with the processor or exist independently and communicate with the electronic device through the interface circuit ( Figure 5 (not shown) is coupled to the processor, which is not specifically limited in this embodiment of the present invention.

[0098] In addition, it should be noted that Figure 5 The structure of the electronic device shown in the figure does not constitute a limitation on the device, and the actual device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. In addition, the technical effects achieved by the electronic device when executing the method of the first embodiment above can refer to the technical effects described in the first embodiment above, so they are not repeated here.

[0099] Fourth embodiment

[0100] This embodiment provides a computer-readable storage medium, which stores at least one instruction, and the instruction is loaded and executed by a processor to implement the method of the first embodiment. The computer-readable storage medium may be a ROM, a random access memory, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc. The instructions stored therein may be loaded by a processor in a terminal to execute the method.

[0101] In addition, it should be noted that the present invention can be provided as a method, an apparatus or a computer program product. Therefore, the embodiment of the present invention can be in the form of a full or partial hardware embodiment, a full or partial software embodiment or an embodiment combining software and hardware. Moreover, when implemented using software, the embodiment of the present invention can be in the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center containing one or more available media sets. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium. The semiconductor medium may be a solid state hard disk.

[0102] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0103] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable terminal device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0104] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements. In addition, the term "and / or" is only an association relationship describing the associated objects, indicating that there can be three relationships, for example, A and / or B, which can represent: A exists alone, A and B exist at the same time, and B exists alone, wherein A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding. "At least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can be represented by: a, b, c, ab, ac, bc or abc, where a, b, c can be single or plural.

[0105] In addition, it can be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0106] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0107] In several embodiments provided by the present invention, it should be understood that the disclosed equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of functional modules / units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The unit described as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0108] If the method is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0109] Finally, it should be noted that the above is only a preferred embodiment of the present invention. It should be pointed out that although the preferred embodiment of the present invention has been described, for ordinary technicians in this technical field, once the basic creative concept of the present invention is known, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the protection scope of the present invention. Therefore, the attached claims are intended to be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the embodiments of the present invention.

Claims

1. A virtual verification method for the service performance of alloy material components, characterized in that: include: Obtaining the intrinsic properties of the alloy material used to make the components in the system to be verified; Using a preset simulation method, the actual service conditions of the system to be verified and the components in the system to be verified are simulated to obtain the service status information of the components in the system to be verified under the actual service conditions; Compare the service status information of the component under actual service conditions with the intrinsic properties of the alloy material; Based on the comparison results, the service performance of alloy material components can be verified.

2. The virtual verification method for the service performance of an alloy material component according to claim 1, characterized in that: The intrinsic properties of the alloy material include: elastic modulus of the alloy material, density of the alloy material, yield strength of the alloy material, tensile strength of the alloy material and elongation at break of the alloy material.

3. The virtual verification method for service performance of alloy material components according to claim 1, characterized in that: The step of obtaining the intrinsic properties of the alloy material used to make the components in the system to be verified includes: Collect basic information of alloy materials and establish an initial data set of alloy materials; wherein the basic information of alloy materials includes: alloy composition, heat treatment process, structure and performance; The missing characteristic data in the initial data set of the alloy material are supplemented by first principle calculation and thermal / dynamic calculation to establish a complete data set of the alloy material; wherein the missing characteristic data include: organizational parameters and physical property parameters of the precipitated phase; wherein the organizational parameters and physical property parameters of the precipitated phase include: number density and volume fraction of the precipitated phase in the alloy, Young's modulus and Poisson's ratio of the alloy material; Using a preset data dimension reduction algorithm to perform data dimension reduction processing on the data in the complete alloy material data set to obtain a dimension-reduced alloy material data set; The preset machine learning model is trained using the alloy material data set after dimensionality reduction to obtain a mechanical property prediction model for the alloy material, and the mechanical properties of the alloy material are predicted using the alloy material mechanical property prediction model; wherein the input of the alloy material mechanical property prediction model is the basic information of the alloy material after dimensionality reduction, the organizational parameters and physical property parameters of the precipitated phase, and the output is the mechanical properties of the alloy material; Use the mechanical properties model to calculate the yield strength of alloy materials; The intrinsic properties of the alloy material are obtained according to the prediction results of the alloy material mechanical property prediction model and the calculation results of the mechanical property model.

4. The virtual verification method for the service performance of an alloy material component according to claim 3, characterized in that: The organizational parameters of the precipitated phase are calculated using the KWN precipitation model.

5. The virtual verification method for service performance of alloy material components according to claim 3, characterized in that: The expression of the mechanical property model is: Among them, σ y represents the yield strength of the alloy material; σ0 represents the basic strength of the alloy material itself; Δσ gb Indicates the grain boundary strengthening effect; Δσ ss Indicates the solid solution strengthening effect; Δσ p Indicates the precipitation strengthening effect; Δσ dis Indicates the work hardening effect; k is a coefficient, and its value is 1 or 2. When the value of k is 1, it corresponds to the linear superposition law, and when the value of k is 2, it corresponds to the Pythagorean superposition law.

6. The virtual verification method for service performance of alloy material components according to claim 1, characterized in that: The service status information of the component under actual service conditions includes: stress, strain and temperature borne by the component under actual service conditions.

7. The virtual verification method for service performance of alloy material components according to claim 1, characterized in that: The preset simulation method is used to simulate the actual service conditions of the system to be verified and the components in the system to be verified, and the service status information of the components in the system to be verified under the actual service conditions is obtained, including: System simulation: In the system simulation, the input is the system structure and mesh division, the boundary conditions and initial conditions of each component in the system, the properties of the same materials of each component, the system service conditions, and the initial conditions and boundary conditions of the system service conditions; the output after simulation is the state and parameter evolution of each component, including: stress-strain, stress-strain-time, stress-strain-temperature and stress-strain-fluid under static load; Simulation on material components: In the simulation on material components, the input is the component's geometry, meshing, material properties, initial and boundary conditions of the component, and the component's state and parameter evolution; the output after simulation is the service status information of all mesh cells on the component under actual service conditions.

8. The virtual verification method for the service performance of an alloy material component according to claim 7, characterized in that: Compare the service status information of the component under actual service conditions with the intrinsic properties of the alloy material, including: The service status information of each grid unit on the component under actual service conditions is compared with the intrinsic properties of the alloy material.

9. The virtual verification method for the service performance of an alloy material component according to claim 8, characterized in that: The verification of the service performance of the alloy material component based on the comparison results includes: The performance of each grid unit is determined based on the service status information of each grid unit on the component under actual service conditions, and the mechanical properties of the alloy material are determined based on the intrinsic properties of the alloy material. If the performance of a grid unit is less than the corresponding mechanical properties of the alloy material, it is determined that the corresponding component cannot meet the service requirements.

10. The virtual verification method for service performance of alloy material components according to claim 1, characterized in that: When verifying the service performance of alloy material components based on the comparison results, the verification results include elastic deformation, plastic deformation, cracking and breakdown of the components.

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