50 results about "Crystal plasticity" patented technology

The invention discloses a test-based crystal plasticity and cohesion model coupling hydrogen induced cracking simulation method, which comprises the following steps: carrying out a hydrogen filling mechanical property test on a metal material to obtain a true stress-true strain curve of the metal material in a hydrogen environment; carrying out a hydrogen-filled fracture toughness test on the metal material to obtain a stress intensity factor of the metal material in a hydrogen environment; constructing a cohesion constitutive model; a metal material electron back scattering diffraction microscopic characterization test is carried out, microstructure characteristics are obtained, and a polycrystalline model is constructed; constructing a crystal plastic constitutive model; coupling crystal plasticity constitutive and cohesion constitutive, and calibrating crystal plasticity to-be-determined parameters by adopting a trial-and-error method; and carrying out finite element simulation analysis on hydrogen-induced cracking behaviors with different microstructure characteristics in a hydrogen environment to obtain stress-strain data and crack data of the hydrogen-induced cracking behaviors. According to the invention, high-precision simulation of the hydrogen-induced cracking micromechanism of the metal material in the hydrogen environment is realized.

The invention discloses a welding thermal stress simulation method, device, equipment and medium based on a crystal plasticity finite element, and relates to the technical field of welding thermal stress finite element simulation. The method comprises the steps that a sample is prepared according to a specific multi-phase metal material, and phase distribution and crystal orientation information of a two-dimensional plane of the material are obtained through a metallographic experiment; and a three-dimensional multi-grain model is constructed based on the two-dimensional information. According to the method, a crystal plastic constitutive model is adopted to describe the flowing behavior of the material at high temperature, crystal slippage and polycrystal interaction are considered, the influence on the material performance is reflected from the microstructure evolution level, and the problem that the influence on the macroscopic mechanical performance of a microstructure is difficult to capture in welding multiphase metal material simulation is solved; two-dimensional representation is obtained through a metallographic experiment, the Young modulus and rigidity matrix parameters are accurately calculated by combining forward stretching and shear simulation, the rigidity matrix precision is improved, a temperature field area is divided, stress evolution and residual stress are calculated by combining a thermal-elastic-plastic model, and the welding thermal stress calculation precision is improved.

The invention discloses a method for evaluating a fatigue weak area of a welded joint based on crystal plasticity, which aims at the problem of fatigue failure of the welded joint caused by complex microstructures such as grain orientation difference and uneven grain size distribution, establishes a quantitative correlation model of grain orientation and size evolution through CPFEM, and combines a macro-micro cross-scale analysis method to evaluate the fatigue weak area of the welded joint. And precise prediction of local stress concentration and crack initiation behaviors of the welding joint under a real fatigue load working condition is realized, so that scientific evaluation of a fatigue weak region is completed. According to the method, an innovative framework of fatigue weak area evaluation is constructed through load working condition reduction and grain characteristic multi-scale coupling, so that excessive simplification of a traditional method on real load conditions is made up, the limitation that a traditional model is difficult to couple a microstructure and a real load is overcome, and the fatigue weakening quantization precision is remarkably improved; and a high-precision analysis technology is provided for anti-fatigue design, process optimization and service life evaluation of the engineering welding structure.

The invention relates to the technical field of nuclear reactor fuel element analysis, in particular to an irradiated zirconium alloy plasticity limit prediction method based on a crystal plasticity finite element, which comprises the following steps: establishing a three-dimensional polycrystalline representative body cell model conforming to the actual grain size of zirconium alloy; based on a crystal plasticity theoretical model, zirconium alloy material parameters are obtained through calculation; boundary conditions and load conditions are determined, finite element calculation is executed in combination with material parameters, and an element stiffness matrix of each increment step is output; assembling the unit stiffness matrix, and obtaining a macroscopic stress-strain matrix of the three-dimensional polycrystal cell model through a homogenization method; and substituting the macroscopic stress-strain matrix into the Rice theoretical criterion, traversing the macroscopic stress-strain matrix of each increment step, and determining the plastic strain meeting the judgment critical condition. According to the method, accurate finite element plastic limit analysis can be carried out on the irradiation material, and the plastic limit strain of the zirconium alloy under the irradiation condition can be accurately judged.

The invention provides a method for establishing a nonlinear constitutive model of low-temperature marine steel, and relates to the technical field of ships and materials. A heterogeneous time series data set is provided for model construction through multi-type sample multi-axial load tests and full-field strain acquisition; nonlinear mapping of deformation activation energy about temperature and microscopic state variables is established by taking a crystal plasticity theory as a framework, and the defect that a low-temperature dislocation evolution rule cannot be reflected due to the fact that a traditional model solidifies physical parameters into constants is overcome; a damage evolution operator jointly induced by stress triaxial degree and a principal stress threshold is embedded, Bayesian inference is adopted to carry out parameter joint calibration, model dynamic calibration and parameter continuous optimization are realized through a simulation and experiment closed-loop iteration mechanism, and finally a digital design evaluation model capable of being under untested extreme working conditions is produced. And an engineering tool taking physical interpretability and probabilistic safety margin into consideration is provided for the ice-resistant design of the polar region ship.

The invention discloses a modeling and analysis method for a metal matrix composite crystal plasticity finite element, and particularly relates to the field of metal matrix composites for spaceflight. Comprising the following steps: acquiring EBSD data of a to-be-detected metal-based composite material; identifying a metal matrix phase and a reinforced fiber phase according to the EBSD data; carrying out texture analysis on the to-be-detected metal matrix composite material, and determining grain orientation data; according to the grain orientation data, establishing a finite element model of the to-be-tested metal matrix composite material, and generating a geometric grid; identifying a metal matrix phase and a reinforced fiber phase in the finite element model, and endowing each phase with parameters; according to the crystal plasticity constitutive model, determining the strain of the to-be-measured metal-based composite material; and original crystal plasticity parameters are corrected according to the actually-measured strain and strain, and the metal-based composite material model is obtained. The metal matrix composite model can obtain the grain plastic strain in the plastic deformation process.

The application discloses a method and system for predicting mechanical properties of laser welded particle reinforced welds of aluminum-lithium alloys, and particularly relates to the field of predicting mechanical properties of laser welded joints. A cross-scale parameter transfer path from first principles to crystal plasticity is established. By constructing a unified high-precision machine learning potential function, the mechanical behavior of complex multi-phase interfaces is accurately quantified, providing a solution for understanding the micro-damage mechanism of the weld. Secondly, by establishing an experiment-driven closed-loop self-correction mechanism, the cumulative error problem introduced by the simplification of models at different scales is effectively solved, and the self-optimization and precision improvement of the prediction model are realized. Finally, a high-confidence digital tool is provided for welding process parameter optimization and new material design, significantly shortening the research and development cycle and reducing the test cost, and having important engineering application value in the field of high-end manufacturing such as aerospace.

The present application relates to the technical field of force sensor, disclose a kind of nonlinear decoupling method and system of triaxial force sensor, comprising: acquisition multi-dimensional original data, and carry out adaptive noise reduction, dynamically select wavelet base, construct filter matrix and obtain denoising signal;Dynamic PINN proxy model is constructed, material parameters and environmental variables are fused, and stiffness matrix is output, online parameter updating mechanism is established, and the optimized parameter calculated is constructed enhanced dynamic compensation matrix;The output stiffness matrix and enhanced dynamic compensation matrix are fused and the main singular value is reserved;Reconstruction obtains reconstructed strain field, establishes multi-physical field coupling model compensation quantum-thermal coupling error, and compensates the lead inductance coupling under high frequency;Multi-scale graph structure is constructed, loss function is reinforced by physical constraint, crystal plasticity hysteresis compensation is carried out, multi-scale features are fused, and the decoupling force value is calculated;Establish intelligent calibration decision, predict drift trend and dynamically adjust calibration cycle.

The application discloses a kind of based on crystal plastic finite element and sequence condition generation formula deep learning agent model's oriented electrical steel cold rolling texture fast prediction method, system and medium, with cold rolling process parameter set as input, with ODF slice image as output;Through the crystal plastic finite element model driven by physical mechanism, "process path-ODF" virtual labeling data pair is generated in batch in pre-set cold rolling process design space, and data set is constructed;Then using sequence condition generation formula deep learning agent model realizes the end-to-end nonlinear mapping from cold rolling process path to high-dimensional ODF image, so that the premise of not needing to call crystal plastic finite element model successively, realize the fast prediction, visualization and path regulation of cold rolling texture evolution.This application solves the problem of existing fusion crystal plastic simulation precision advantage and deep learning model high efficient generalization ability, realizes the fast and accurate prediction of cold rolling texture evolution.

The application discloses a kind of gradient nanostructure sliding wear high-efficiency calculation method, comprising: obtaining gradient nanostructure grain size parameter and load parameter, determine the material parameter at different depths;Establish size-dependent crystal plasticity constitutive model and dislocation density evolution model and cluster homogenization model;Establish three-dimensional friction contact finite element model, calibrate constitutive model parameters and friction and wear parameters;In three-dimensional friction contact finite element model, calculate the results such as contact pressure, relative slip, cumulative plastic strain, dislocation density;Based on energy dissipation theory, calculate the wear depth increment of each contact node.The application can be coupled in the same calculation framework gradient grain size, crystal plastic deformation, dislocation density evolution, friction contact and surface wear evolution, obtain the wear depth, contact pressure, cumulative plastic strain, dislocation density of gradient nanostructure under reciprocating sliding load, and can be used for comparing the wear resistance under different surface grain size.

The invention relates to a topological decoupling-based complex component crystal plasticity finite element cross-scale modeling method, which comprises the following steps of: firstly, carrying out macroscopic finite element grid division on a geometric model of a component to be analyzed to export an isolated grid file, and then establishing an RVE voxel grid based on microstructure source data of a material of the component to be analyzed; calculating the geometric centroid coordinate of each unit after macroscopic finite element grid division, and judging the attribution crystal grain ID of each geometric centroid coordinate in the RVE voxel grid through a centroid mapping algorithm to generate a unit set mapping file; then calculating a rotation matrix for each crystal grain ID based on crystal orientation distribution data, combining the rotation matrix with crystal plasticity constitutive model parameters to generate a physical attribute library file, and finally performing semantic analysis and recombination on an isolated grid file to generate a CPFE cross-scale simulation model. According to the method, macroscopic finite elements and microscopic voxel grids are decoupled, the problem that complex geometric expression precision and microstructure fidelity are difficult to consider at the same time is solved, and CPFE cross-scale accurate modeling of complex components is achieved.

The application discloses a spherical tooth tip blade safety evaluation method and system based on data analysis, and relates to the technical field of cutting processing.The application comprises the following steps: collecting blade surface morphology, microscopic lattice structure and cutting dynamic load data through a white light interferometer, EBSD and a dynamometer; establishing a macro finite element model and embedding a microscopic crystal plasticity submodel; matching macro and microscopic stress fields, calculating lattice orientation conversion matrix and Schmid factor, and extracting slip system characteristic parameters; determining crack initiation, calculating an extension path in combination with an anisotropy criterion, and reconstructing three-dimensional crack morphology; calculating a cumulative damage factor, dividing three-level safety threshold values, and outputting a visual report and a life prediction value.The application establishes a coupling equation of macro stress field and microscopic crystal orientation, integrates the mechanical response characteristics of a material at different scales, and improves the physical authenticity of crack initiation and extension prediction.

The invention relates to the technical field of single crystal alloy fatigue life prediction, in particular to a nickel-based single crystal alloy fatigue life prediction method considering second orientation and recrystallization defects. The specific method comprises the following steps: obtaining a plurality of nickel-based single crystal alloys as single crystal alloy samples which have different second orientations and have recrystallization defects partially; establishing a crystal plastic model; acquiring fatigue life and fatigue stress parameters; inputting the fatigue stress parameter into a crystal plastic model to calculate the accumulated plastic shear strain of the dangerous point; 1 / 2 of the product of the cumulative plastic cutting strain and the fatigue load in the crystal plasticity or the cumulative plastic cutting strain is used as a fatigue indication factor; and fitting by taking the fatigue indication factor as a vertical coordinate and the fatigue life as a horizontal coordinate to obtain a fatigue life prediction model. According to the method, the recrystallization defect and the influence of different second orientations are considered, the related fatigue indication factors are introduced to construct the fatigue life prediction model between the fatigue indication factors and the fatigue life, and the accuracy and reliability of the prediction result are improved.

The invention discloses an additive manufacturing metal crystal plastic constitutive model establishment and parameter determination method, which can realize high-precision physical mechanism driven determination of additive manufacturing metal crystal plastic constitutive model parameters based on a synchronous X-ray diffraction technology and EBSD-RVE modeling. And the description accuracy of the model on the microstructure and the deformation behavior of the material is obviously improved.

The application discloses a method for establishing and determining a metal crystal plasticity constitutive model of additive manufacturing, which can realize high-precision and physical mechanism driven determination of parameters of the metal crystal plasticity constitutive model of additive manufacturing based on a simultaneous X-ray diffraction technology and EBSD-RVE modeling, and significantly improves the description accuracy of the model on microstructure and deformation behavior of materials.

The application relates to the field of power module reliability evaluation, and particularly discloses a crystal plasticity constitutive model construction method based on a density characteristic, which comprises the following steps: S1: modifying the initial value and the saturation value of a critical decomposed shear stress through a correction coefficient; S2: taking the initial value and the saturation value of the corrected critical decomposed shear stress obtained in the step S1 as parameters and substituting the parameters into a hardening law of a crystal plasticity constitutive model to establish the crystal plasticity constitutive model based on the density characteristic; and S3: simulating in finite element software based on the crystal plasticity constitutive model established in the step S2, inputting values of different density characteristic parameters and macroscopic shear strain rates, and calculating and outputting the mechanical performance prediction result of the material. The application effectively quantifies the influence of manufacturing process uncertainty on the mechanical performance of a packaging interconnection material by introducing the density characteristic parameter, and improves the accuracy of simulation analysis.

The invention discloses a residual stress detection method and system based on dual-scale contour fusion and three-dimensional stress constraint, and belongs to the technical field of material mechanical property testing. The method comprises the following steps: preparing a micro-pit array with a nano-scale corrugated structure and a reinforced coating on the surface of a sample by adopting a femtosecond laser double-beam interference technology as a high-precision reference mark; stress freezing release is achieved through a liquid nitrogen atomization spraying auxiliary low-temperature micro-cutting technology, and cutting heat-force damage is effectively restrained; the white light interferometer and the laser confocal microscope are combined for multi-mode scanning, and high-signal-to-noise-ratio surface topography data are obtained; adopting a deep learning algorithm to realize sub-pixel-level data registration and fusion; a cube is cut from the interior of a sample innovatively through an electrolysis-assisted low-speed wire cutting technology to serve as a three-dimensional stress constraint body, and the accurate geometric contour of the cube serves as a physical calibration reference; and finally, establishing an anisotropic inversion model based on a crystal plasticity theory, training a neural network agent model by taking cube data as a priori constraint condition, carrying out iterative calculation in combination with multi-modal fusion data, and reconstructing a three-dimensional residual stress field with a spatial resolution of 50 microns. According to the method, by introducing the physical calibration reference, the precision and reliability of stress field reconstruction are remarkably improved, and the problems that a traditional method is large in model error and lacks three-dimensional constraint are solved.

The invention discloses a metal stress regulation and control method based on expanded graphite. The method comprises the following steps that 1, a scanning electron microscope is used for obtaining data such as workpiece morphology; 2, establishing a cavity metal thin-wall part crystal plasticity-finite element model; 3, establishing a macroscopic geometric model and a finite element model of the cavity thin-wall part; step 4, determining a bulging process parameter range; 5, determining the proportion of the expanded graphite in the mixed solid filling structure; 6, purified water and wheat flour are added to form a mixed solid filling structure; 7, the cavity structure of the target regulation and control metal is filled, and heating bulging is carried out to eliminate residual stress; and step 8, performing a sampling experiment, and verifying the residual stress eliminating effect. According to the method, the thermally induced volume deformation characteristic of the expanded graphite-based mixed solid filling structure is utilized, and the cavity metal thin-wall part is induced to complete stress release and relaxation through the controllable bulging force, so that the residual stress is efficiently eliminated. According to the method, key conditions and internal rules of stress release and plastic strengthening of the thin-wall part under the working conditions of heating, filling and bulging can be defined, and the method has important practical significance on residual stress control of the cavity metal thin-wall weak-rigidity structure.

The invention discloses a crystal plasticity constitutive model construction method under an ultrasonic vibration auxiliary processing condition, and relates to the technical field of ultrasonic auxiliary processing, a multi-stage deformation frame is constructed, and a total deformation gradient is decomposed into an elastic deformation gradient, a plastic deformation gradient and a thermal deformation gradient; introducing an ultrasonic softening factor and a thermal softening factor into the classic crystal plastic constitutive model, and correcting a shear strain rate expression; establishing a crystal plasticity constitutive equation considering the ultrasonic vibration and temperature coupling effect; establishing a three-dimensional polycrystalline representative volume element model, and applying an ultrasonic cyclic load and a thermal load in finite element software; and developing a user material subprogram, and integrating the crystal plasticity constitutive equation to a finite element platform for numerical simulation. The method is closer to actual material response, the problem that the ultrasonic thermal coupling effect is difficult to accurately simulate by a crystal plasticity finite element method is solved, and the model prediction precision is improved.

This invention belongs to the field of material fatigue simulation technology, and discloses an accelerated calculation method for crystal plastic fatigue based on finite element software simulation. It establishes a cyclic skip acceleration algorithm with adaptive step size control, and dynamically adjusts the skip loading cycle step size Δ in real time based on the state variables of the current loading cycle and their rate of change. N In order to deal with the next Δ N This invention employs a skip-step approach across loading cycles to accelerate the calculation of crystalline plastic fatigue simulation. This avoids the problem of existing fixed-step-size strategies failing to adapt to the significant differences in the evolution rate of material damage state variables at different stages, thus significantly improving the computational efficiency of fatigue simulation while maintaining computational accuracy. Multiple user subroutines were developed to work collaboratively, integrating the accelerated calculation method into the ABAQUS platform. This invention improves efficiency by more than 100 times while maintaining computational accuracy and can be used for the study of fatigue micro-damage mechanisms and life prediction of various metallic materials.

The invention discloses a method for regulating and controlling anisotropic mechanical properties of molten formed metal of a laser powder bed, and belongs to the technical field of additive manufacturing. The method comprises the following steps: constructing a data set related to laser power, powder laying thickness, scanning speed and molten pool size; the mapping relation between the molten pool size and anisotropy is determined; constructing an anisotropic crystal plasticity theory framework based on the molten pool morphology; anisotropy data of the target macrostructure is obtained, and the anisotropy mechanical property of the component under the target forming scheme is calculated; and laser powder bed melting forming parameters of the target macrostructure are optimized. According to the method, support can be provided for anisotropy regulation and control and forming parameter selection of a forming structure by combining crystal plasticity finite element simulation under a small number of experiments according to the anisotropy characteristics of molten metal of the laser powder bed.

The application relates to a fatigue life prediction method based on a physical failure mechanism under a liquid lead-bismuth environment, which comprises the following steps: establishing a representative volume element model and defining elements belonging to a slip band; defining a crystal plasticity constitutive equation; determining parameters in the crystal plasticity constitutive equation; calculating an average shear strain range of the slip band; carrying out a fracture toughness test to obtain a specific fracture energy; establishing a fatigue life prediction model based on the physical failure mechanism; carrying out a low-cycle fatigue test of a metal material under a high-temperature and high-oxygen liquid lead-bismuth environment to determine an oxide film thickness; and establishing a fatigue life prediction model under a high-oxygen-concentration liquid lead-bismuth environment to predict the fatigue life of the metal material under the high-oxygen-concentration liquid lead-bismuth environment. The low-cycle fatigue test for calibrating parameters of the crystal plasticity constitutive equation in the prediction temperature air and the fracture toughness test in the air and the liquid lead-bismuth environment can be carried out, so that the fatigue life under the liquid lead-bismuth environment can be predicted.

The invention discloses a simulation method based on a crystal plasticity finite element coupling irradiation effect and damage, and the method comprises the specific steps: S1, building a three-dimensional polycrystalline model with controllable grain size and sphericity based on electron back scattering diffraction (EBSD) experimental data; s2, constructing a crystal plastic model coupled with dislocation density evolution, distinguishing movable and immovable dislocation densities, and correcting a slip resistance formula; s3, introducing an irradiation-induced dislocation loop term into the crystal plastic model to add an irradiation effect in the slip resistance and dislocation evolution equation of the crystal plastic model, and coupling the maximum shear strain damage factor to a flow equation of the crystal plastic model; s4, a crystal plastic model is achieved through a UMAT subprogram, periodic boundary conditions are applied to the three-dimensional polycrystalline model to execute uniaxial stretching simulation, and a stress-strain curve is output through volume averaging on the basis of the crystal plastic model. The method can accurately predict the tensile properties of the nuclear power steel before and after irradiation, and has the advantages of clear physical significance, high calculation efficiency and the like.

The invention discloses a welding crack propagation multi-scale simulation method based on cohesion-crystal plasticity. The method specifically comprises the following steps: aiming at the limitation that parameters of a traditional cohesion model depend on macroscopic inversion, adopting molecular dynamics simulation to obtain a traction force-separation displacement relationship reflecting a microscopic damage mechanism of a crack tip, and obtaining initial parameters of the cohesion model; aiming at the problem that an idealized homogeneous model cannot reflect the influence of a microstructure of a heat affected zone of a welding joint, a method based on electron back scattering diffraction experiment reconstruction is adopted, a finite element model capable of accurately reflecting actual grain morphology and grain boundary distribution characteristics is established, and a cohesion model unit is embedded into a grain boundary. A cohesion model and a crystal plastic constitutive model are coupled, a complete cross-scale calculation framework is constructed, simulation of the whole process of a welding joint heat affected zone from microscopic damage initiation and evolution to crack propagation is achieved, and a cross-scale correlation mechanism of a welding joint crack propagation behavior is clarified.

The invention discloses a crystal plasticity finite element method based on crystal grain size and crystal grain morphology correlation, which comprises the following steps: S1, establishing a finite element model with a gradient crystal grain structure and morphology difference, and carrying out inversion based on crystal plasticity parameters updated by the finite element model; s2, an aluminum alloy laser welding experiment, welding joint microscopic observation and a uniaxial tensile test of a welding sample are carried out in sequence; s3, finite element simulation of the tensile test is carried out, and the macromechanical response of the welding joint is obtained from the grain level; according to the crystal plasticity finite element method, a mesoscopic crystal plasticity constitutive model is constructed based on the lens size form, the method is suitable for mechanical modeling analysis of a laser welding joint with a gradient grain structure, and a novel inversion method of crystal plasticity parameters is provided. The mechanical property difference and the failure mechanism of each area of the laser welding joint are systematically given from the perspective of a mesoscopic organization structure, and a theoretical basis is provided for research on the influence of the mechanical property gradient of the aluminum alloy laser welding joint.

The invention relates to a method for identifying the mechanical property of each composition phase of a multiphase material, which comprises the following steps: firstly, pretreating the surface of a material to be detected, obtaining grain orientation and grain boundary distribution through EBSD, selecting an indentation position in a target phase single grain, and implementing a nanoindentation experiment to obtain a load-displacement curve; then, scanning the three-dimensional morphology of the indentation through AFM, and extracting the depth of a feature point; establishing a single crystal three-dimensional nanoindentation CPFEM model, endowing crystal orientation measured by EBSD, and simulating to obtain a curve and morphology depth; fitting an experiment curve and a simulation curve by using a parabolic function to obtain a characteristic coefficient, and incorporating the characteristic coefficient and the morphology depth into a back analysis objective function; and finally, carrying out back analysis by adopting a global optimization algorithm to solve crystal plasticity parameters, and outputting a single crystal constitutive parameter set. Compared with the prior art, through curve and morphology double-information constraint and three-dimensional simulation, the deviation of a traditional method is overcome, the parameter identification precision and reliability are improved, and the method is suitable for multi-phase materials such as high-strength steel and titanium alloy.

The present application relates to a kind of polycrystalline metal material fatigue small crack propagation simulation method, comprising: determining the accurate value of crystal plasticity constitutive model and each undetermined parameter thereof;Establish the crack propagation finite element model of polycrystalline metal material, and the crack propagation finite element model is embedded in crack propagation finite element model with each undetermined parameter having respective accurate value of crystal plasticity constitutive model and the crack propagation criterion obtained in advance;Load and boundary condition are applied to crack propagation finite element model, and crack propagation finite element analysis is carried out, to obtain finite element analysis result, including stress-strain data calculated based on crystal plasticity constitutive model and crack propagation data calculated based on crack propagation criterion and stress-strain data.The polycrystalline metal material fatigue small crack propagation simulation method of the present application introduces Hall-Petch size effect in crystal plasticity constitutive model to consider the influence of grain size on slip resistance, to improve the accuracy of simulation.

The application belongs to the technical field of material deformation analysis, and provides a laser additive manufacturing process-structure-performance cross-scale modeling method and system, which comprises establishing a discrete dislocation dynamics model, simulating the movement behavior of dislocations under external load under different temperature field-strain rate field conditions, establishing a quantitative relationship between dislocation flux and temperature field and strain rate field, establishing a cyclic crystal plasticity constitutive model based on dislocation density, calling the dislocation flux generation model to obtain dislocation flux in each time increment step, updating dislocation density and material state variables according to the dislocation flux, and coupling phase field damage evolution; through cross-scale mapping of dislocation flux between the discrete dislocation dynamics model and the cyclic crystal plasticity constitutive model coupled with phase field damage evolution, the evolution of material mechanical properties is predicted, and the process parameters are fed back and optimized. The problem of space-time discontinuity from discrete dislocation dynamics to cyclic crystal plasticity model is solved.

The invention relates to the field of rolling bearing reliability prediction, in particular to a rolling bearing reliability analysis method considering crystal plasticity and electronic equipment, and the method comprises the following steps: S1, constructing a constitutive model; s2, detecting the material; s3, sampling and establishing a grain distribution model; s4, establishing a finite element prediction model; s5, establishing prediction models of different samples; s6, observing damage evolution characteristics; s7, calculating the maximum contact stress; s8, drawing a Weibull distribution diagram; according to the method provided by the invention, the test cost of reliability prediction can be greatly reduced, and the prediction efficiency is improved; according to the method, the randomness of the material microstructure and surface machining is considered, the prediction result has high batch adaptability, the method is suitable for scenes with high batch consistency requirements, and the prediction adaptability of the reliability of the rolling bearing can be effectively improved.

The application relates to a kind of polycrystal plastic finite element simulation method and device, wherein, method includes: using polycrystal model to obtain original file;File is imported into first preset script and is run, and first file is generated according to numbering and actual crystal orientation;First file is imported into preset program, and second file is obtained according to the polycrystal model of cohesive grain boundary element;Second file is imported into second preset script and is run, and complete polycrystal model is obtained;Complete polycrystal model is imported into finite element software, and polycrystal plastic finite element model containing cohesive grain boundary element and grid is generated;At least one mechanical behavior in polycrystal plastic finite element model is calculated by calling crystal plasticity subroutine;The crack crystal plasticity of the complete polycrystal model is simulated and calculated.Thereby, the problems that the related art less considers the back stress influence of cyclic load and the grain boundary damage, the finite element result exists error, the accuracy and reliability of finite element simulation are reduced and the like are solved.