173 results about "Finite element analysis software" patented technology

The invention discloses a valve processing and manufacturing method based on digital twinning, which comprises the following steps: S1, constructing a valve digital twinning model, creating a valve geometric model by using three-dimensional modeling software, and endowing the valve geometric model with physical attributes and material characteristics through finite element analysis software, carrying out design optimization through fluid mechanics simulation and stress analysis; s2, establishing a processing technology digital twin model, performing digital modeling on the device, integrating processing technology parameters, and simulating a material processing process; s3, the machining process is monitored in real time, multiple types of sensors are deployed on machining equipment, and operation data of the machining equipment are collected in real time; s4, dynamic simulation and comparative analysis are conducted, specifically, the digital twin model dynamically simulates the actual machining process according to real-time collected data, and a simulation result and design requirements are compared and analyzed; and S5, feedback control optimization: when the processing deviation exceeds a preset threshold value, automatically generating a process parameter adjustment scheme and feeding back the process parameter adjustment scheme to a processing equipment control system.

The invention relates to the technical field of engineering mechanical structure optimization, in particular to an excavator structure topological optimization method and system based on real-time stress field reconstruction. The method comprises the following steps of: designing finite element analysis software, modeling and simulating in the finite element analysis software to obtain virtual data, designing a Kalman filter to carry out error correction on the virtual data and actual test data, training the Kalman filter by utilizing the corrected data to obtain prediction of real-time stress field distribution, and further, establishing a topological optimization model of an excavator structure, according to the method, material attributes are coded into a weight matrix in a neural network, and a stress constraint partial differential equation is used as a constraint condition, so that high-precision reconstruction of the stress field of the movable arm of the excavator under an actual working condition is realized, and an accurate boundary condition is provided for topological optimization.

The invention discloses a flexible support design method for a spatial large-aperture reflector and a support structure, and relates to the field of quasi-kinematics support design of large-aperture spatial reflectors. According to the method, a titanium alloy material is selected, parameters such as the size of a connecting frame and the total height of a Bipod support are determined according to the quality of a reflector, the size of a glue spot and an installation space, a cross-shaped blade flexible element is designed to serve as a flexible knot, a three-dimensional parameterized model is established and imported into finite element analysis software, and the three-dimensional parameterized model is obtained. And optimizing structural parameters by taking the RMS value of the optical surface deformation of the reflector as a judgment standard, and finally carrying out dynamic verification such as modal analysis and random vibration analysis. According to the supporting structure, rigidity and flexibility are balanced through a flexible joint, thermal stress can be released, rigidity in the optical axis direction is guaranteed, the bending moment and the influence of machining and assembling errors are reduced, the supporting structure is suitable for reliable supporting of the spatial large-aperture silicon carbide reflector, and the positioning precision and the surface shape precision of the reflector during on-orbit work are effectively guaranteed.

The invention discloses a skin stretch forming residual stress rapid calculation method which comprises the following steps: randomly generating a combination of a pre-stretching amount, a coating elongation rate and a friction coefficient, submitting the combination to finite element analysis software to execute batch simulation, and generating a result file named by process parameters; traversing all the result files, extracting node numbers and residual stress values, and storing the node numbers and the residual stress values as a text format data set corresponding to the process parameters; a full-connection neural network model is constructed, an input layer receives the three process parameters of the pre-stretching amount, the coating elongation and the friction coefficient, a hidden layer comprises multiple layers of neurons and adopts a ReLU activation function, and an output layer generates residual stress values of all nodes; training the neural network model by using the data set, and adjusting the network weight through an optimizer; and inputting target process parameters to the trained neural network model, and outputting residual stress calculation results of all nodes of the skin. The technical purposes of rapidness, high efficiency and low cost are achieved.

The invention discloses a building structure explosion multistage early warning and damage assessment integrated analysis method, which relates to the field of building structure safety, and comprises a BIM-FEM model conversion module, an FEM explosion response and damage assessment module, an Internet of Things gas sensor acquisition module, an early warning analysis and grading early warning module and a data storage module. And an efficient automatic model conversion interface between the BIM and the FEM is developed. The interface realizes bidirectional data conversion between the BIM model and the finite element analysis model; a gas explosion load is applied to finite element analysis software, dynamic response and damage of each component under the gas explosion load are studied through numerical simulation, and anti-explosion damage evaluation attributes of each component are formed. The problem of low modeling efficiency of a complex structure in finite element analysis software is effectively solved, and automatic data extraction, model mapping and result write-back between the BIM model and the FEM model are realized.

The invention belongs to the field of artificial intelligence and industrial finite element analysis software, and particularly relates to an LLM agent-based Abaqus finite element modeling code generation method and device. According to the method, high-precision and high-reliability finite element analysis script generation is realized through construction of an instruction-code pair database, semantic retrieval and instruction reasoning, code generation and verification and lightweight model deployment. Comprising the following steps: constructing an instruction-code pair database; performing semantic retrieval and instruction reasoning; code generation and verification; and lightweight model deployment. By using the method, the accuracy and the reliability of finite element analysis script generation can be effectively improved, and the threshold and the cost of an engineering simulation task are remarkably reduced. The industrial finite element analysis software script generation method based on the large model agent can be widely applied to finite element analysis tasks in the fields of aerospace, machine manufacturing and the like.

The invention discloses a beam structure fault intelligent diagnosis method based on a DIC and a CNN. The method comprises the steps that a beam structure model is established in finite element analysis software, a plurality of node positions corresponding to DIC measuring points are arranged on the surface of a structure, loads are applied, time domain vibration response signals of the multiple measuring points are extracted, and Gaussian white noise is superposed; performing wavelet packet analysis and multi-band adaptive noise reduction on the acquired multi-channel vibration signals, judging the energy distribution characteristics of the signals by using the change rate of wavelet energy entropy, and adaptively adjusting the length of a segmented window to decompose original non-stationary signals into a plurality of stationary time periods; the inherent frequency, the damping ratio and the vibration mode modal parameters of the structure are obtained through working modal analysis; and constructing a feature sample set by taking the extracted modal parameters and time domain features as inputs, inputting the feature sample set into a convolutional neural network model for training and prediction, and realizing classification and identification of various states such as structure health, early cracks, middle cracks and late cracks.

The invention provides an engine cylinder cover thermal fatigue virtual test verification method and system, and relates to the technical field of virtual simulation modeling, and the method comprises the steps: obtaining the micro-macro parameter characteristics of an engine cylinder cover; constructing a parameterized model of micro-macro coupling; performing reverse solution on the control parameters of the physical rack based on a target temperature circulation curve set by a user to obtain a boundary condition parameter set required by a virtual test; generating a virtual-real homologous file according to the parameterized model and the boundary condition parameter set; actual measurement temperature data after the physical rack executes the control instruction file and simulation temperature data after the finite element analysis software executes the simulation input file are collected; according to the two-dimensional topological structure of the fire power surface, virtual thermocouple measuring point coordinates are generated; establishing data channel mapping according to the measuring point coordinates of the virtual thermocouple; calculating temperature errors of the plurality of measuring points; when the temperature error exceeds a threshold value, a correction prompt for the measuring point is output; and verifying the parameterized model according to the correction prompt.

The present application relates to the technical field of stress field of drum, in particular to a kind of winding type permanent-magnet outer rotor hoist drum stress field prediction method.The present application is to solve the problem that the stress field of permanent-magnet outer rotor hoist drum cannot be predicted in prior art, therefore a new winding type permanent-magnet outer rotor hoist drum stress field prediction method is provided, comprising the following steps: one, establishing the three-dimensional geometric model of drum;Two, import three-dimensional geometric model into finite element analysis software;Three, obtain the simulation stress field of drum;Four, obtain the modal base function and modal coefficient capable of representing the simulation stress field of drum;Five, establish nonlinear relationship regression model and approximate reconstruction stress field;Six, predict the running position and steel wire rope tension at future time;Seven, the running position and steel wire rope tension at future time predicted are introduced into step five, so as to realize the prediction of stress field.The present application realizes the prediction of drum stress field.

The present invention specifically relates to a method for preparing a piezoelectric MEMS smart speaker, including: using a theoretical formula for film vibration frequency to preliminarily calculate the film vibration frequency according to a target frequency range; using finite element analysis software to perform simulation and predict the resonance frequency of each vibration membrane to determine the material of each layer; selecting a piezoelectric material; selecting a substrate material; sputtering a first electrode material on the substrate, and etching to form a required electrode pattern; depositing a piezoelectric layer material to ensure uniform thickness; sputtering a second electrode material on the piezoelectric layer, and etching to form a required electrode pattern; testing the actual performance frequency of the speaker; adjusting the thickness or shape of the piezoelectric layer according to the test results; and also including using a dynamic algorithm to adjust the thickness or shape of the piezoelectric layer; re-depositing the piezoelectric layer and adjusting it; until the resonance frequencies of all vibration membranes are within the target range.

This invention relates to the field of engineering machinery structural optimization technology, specifically to a method and system for topology optimization of excavator structures based on real-time stress field reconstruction. The method involves acquiring deformation and stress data of key parts of the excavator boom using a distributed fiber optic grating sensor array, and then modeling and simulating these data in finite element analysis software to obtain virtual data. A Kalman filter is designed to correct errors between the virtual and actual test data, and the corrected data is used to train the Kalman filter to predict the real-time stress field distribution. Furthermore, a topology optimization model of the excavator structure is established, encoding material properties into weight matrices in a neural network, and using stress constraint partial differential equations as constraints. This achieves high-precision reconstruction of the excavator boom stress field under actual working conditions, providing accurate boundary conditions for topology optimization.

The invention belongs to the technical field of biomass boilers, and particularly relates to a water circulation design method for a pipeline support boiler, which comprises the following steps of: firstly, constructing a 3D geometric model of the biomass boiler, simplifying to obtain a simplified model, then defining material attributes and fluid attributes of the simplified model, performing stress simulation analysis by utilizing simulation software, and finally, calculating the water circulation of the pipeline support boiler. Obtaining a constraint lower limit of each pipeline size parameter in the simplified model meeting the structural mechanical property requirement, then forming an adjustment scheme by upwards adjusting each pipeline size parameter based on the constraint lower limit, and substituting the obtained adjustment scheme into the simplified model to obtain the structural mechanical property requirement. And after setting boundary conditions, carrying out finite element analysis by utilizing finite element analysis software to obtain a medium flow analysis result, and finally screening out an adjustment scheme with the most appropriate circulation ratio based on the medium flow analysis result. According to the biomass boiler, the circulation ratio of the biomass boiler can be effectively increased on the premise that the stress stability is guaranteed.

The invention discloses a method for analyzing the bearing capacity of a long and short pile composite foundation based on finite element analysis, and relates to the technical field of long and short pile composite foundations, the method comprises the following steps: utilizing Optistruct finite element analysis software to model piles, soil layers and cushion layers in the long and short pile composite foundation to obtain a composite foundation model; according to the first length information of the long piles, the second length information of the short piles and the arrangement mode of the long piles and the short piles in the composite foundation model, a long and short pile distance adjacent matrix is determined; vertical stress is applied to the long and short pile composite foundation in a simulated mode to obtain a settlement result of the long and short pile composite foundation; vectorizing settlement information of each grid in the composite foundation map to obtain a foundation settlement characteristic matrix; analyzing the bearing capacity of the long and short pile composite foundation according to the long and short pile distance adjacent matrix and the foundation settlement characteristic matrix; the bearing capacity of the long and short pile composite foundation is automatically analyzed.

The application relates to a laser selective melting intelligent process design and simulation optimization platform and method, and belongs to the technical field of laser selective melting processing, and solves the problem that the prior art cannot meet the requirements of a new generation of laser selective melting process and rapid response, high efficiency and high quality manufacturing. The platform comprises a three-dimensional model construction module, a model feature identification module, a process database, a knowledge base, a search similar laser selective melting process parameter of a target part to obtain laser selective melting initial recommended process parameters of the target part, a simulation interaction module, a three-dimensional model is imported into finite element analysis software, the finite element analysis software is driven to calculate and analyze under different parameter iterations, and calculation results are extracted for quality result data analysis. Laser selective melting process parameters can be quickly obtained without relying on manual experience trial and error and manual simulation analysis, and the digitization and intelligent level of process design is improved.

The invention discloses a roof reticulated shell splicing structure and a construction method, and belongs to the technical field related to building construction technologies, the roof reticulated shell splicing structure comprises a plurality of drum joints, and six butt joint assemblies are fixed to the outer portions of the drum joints at equal intervals; the butt joint assembly comprises a connecting rod, an inner cylinder is fixed in the connecting rod, four rows of telescopic springs are fixed in the inner cylinder, the outer end of each row of telescopic springs is fixedly connected with an extrusion block, and the extrusion blocks protrude out of the connecting rod; finite element analysis software is used for carrying out topological optimization on the tail plate so as to meet the preset strength and rigidity requirements under the target mold clamping force, an integrated reinforcing rib network is designed, and meanwhile, in a casting cavity at a pull rod penetrating hole, a plurality of connecting rods are arranged in the casting cavity at the pull rod penetrating hole. And a structure used for presetting the high-strength alloy steel sleeve is designed, so that the problem of complex reticulated shell assembly is solved, and the comprehensive construction risk is reduced.

The invention relates to the technical field of marine flexible riser monitoring, in particular to a marine flexible riser axial strain monitoring and verification method. The strain monitoring device comprises a corrosion-resistant pipe clamp and a stepped shaft type strain rod, a fiber bragg grating sensor is packaged on the strain rod and is fixed on a vertical pipe through a metal pipe clamp, and the strain value of the vertical pipe is calculated through the change of the central wavelength of the fiber bragg grating sensor. The strain relation between the strain of the vertical pipe and the strain rod is obtained; finite element models of the riser and the strain monitoring device are established by adopting Ansys finite element analysis software, theoretical values of riser strain are calculated, the theoretical values are compared with simulation values, the strain monitoring device shows high accuracy, the actual monitoring accuracy is as high as 90%, the actual monitoring accuracy is remarkably improved compared with a traditional mode, and the reliability of monitoring data is ensured.

The invention provides a prediction method for an impact environment of an underwater distributed vehicle. The prediction method comprises the following steps: determining an underwater explosion impact load acting on the underwater distributed vehicle; based on the underwater explosion impact load, determining a fluid-solid coupling relationship between the underwater distributed vehicle and an external flow field; according to the determined fluid-solid coupling relationship, calculating the finite element model of the underwater distributed vehicle based on an acoustic-solid coupling method of finite element analysis software to obtain rigid body acceleration response of the to-be-measured point; and calculating the relative acceleration response of the to-be-measured point based on the obtained rigid body acceleration response of the to-be-measured point, and deriving an impact spectrum according to the relative acceleration response of the to-be-measured point so as to obtain the impact environment of the to-be-measured point. According to the prediction method provided by the invention, the problems of long actual ship test period and high cost in the prior art are solved, the corrected spectrum displacement is obtained by eliminating the rigid body displacement, and the obtained impact spectrum is high in prediction efficiency and high in precision.

The present invention discloses a method for optimizing the initial alignment of submarine cable laying simulations based on a genetic algorithm. By constructing a genetic algorithm population to generate cubic spline curves with different control points as the initial alignment of the submarine cable, a numerical iteration method is used to calculate the static equilibrium of each initial alignment of the submarine cable using finite element analysis software. The fitness function of the genetic algorithm is used to calculate the fitness value based on the tension at the bottom point of each submarine cable alignment that meets the convergence conditions and the deformation of the submarine cable end. The initial alignment of the submarine cable corresponding to the minimum fitness value is determined as the optimal initial alignment of the submarine cable. The present invention solves the problem that the iterative solution process of the submarine cable simulation calculation diverges when the catenary equation is used to determine the initial alignment of the submarine cable, and also solves the problem that the trial-and-error rate of determining the initial alignment of the submarine cable based on empirical parameters is high.

The invention discloses a machine tool guide rail cooling aperture and cooling liquid parameter collaborative optimization design method, and relates to the technical field of machine tool guide rail cooling, and the method comprises the following steps: building an overall model of a machine tool guide rail slide block in SolidWorks; the model is imported into ANSYS WorkBench finite element analysis software to be subjected to one-way flow thermosetting simulation analysis; parameterization setting is conducted on the cooling hole diameter, the cooling liquid inlet temperature and the flow speed; obtaining a data sample through Latin hypercube experiment design; constructing a response surface model of the cooling parameters about the average thermal deformation of the guide rail; the method comprises the following steps of: optimizing a cooling parameter by utilizing ANSYS WorkBench; and verifying and comparing the average thermal deformation of the guide rail of the initial model and the optimization model. According to the method, key design variables including the aperture and the cooling flow parameters can be optimized at the same time, the guide rail average thermal deformation serves as an optimization target, the globally optimal cooling parameter scheme is rapidly determined, and therefore the thermal state precision and design efficiency of the machine tool are remarkably improved.

The invention provides a method for converting a geometric model into a finite element model. The method comprises the following steps: obtaining an IGS format file of a geometric model, importing the IGS format file into finite element preprocessing software, repairing the geometric model to form a preprocessing model, carrying out grid division on the preprocessing model, and outputting a grid finite element file, the grid finite element text file comprises a finite element file of a curved surface structure and a finite element file of a curve structure, performing batch processing on the finite element file of the curved surface structure and the finite element file of the curve structure to form a model file, and importing the model file into the finite element analysis software to form a finite element model. According to the method, the deviation between the finite element model and the original geometric model caused by the contradiction between the irregularity of the geometric features of the spatial free-form surface geometric model and the regularity of the finite element grid can be reduced, the precision of the finite element model is improved, and a basis is provided for mechanical calculation and structural safety evaluation.

The application belongs to the technical field of all-solid-state lithium metal batteries, and discloses an all-solid-state lithium metal battery cycle performance prediction method and system, which comprises the following steps: taking the Helmholtz free energy evolution of dendrites as the basis to construct an electrochemical-mechanical coupling polycrystalline phase field model, wherein the polycrystalline phase field model introduces grain boundary phase field parameters and dendrite phase field parameters to distinguish a three-phase system; deriving lithium diffusion control equations, electrostatic potential distribution equations and stress balance equations; randomly generating a polycrystalline solid-state electrolyte by using a Voronoi algorithm; simulating and solving the polycrystalline phase field model by using finite element analysis software; and predicting the cycle performance of the all-solid-state lithium metal battery according to the simulation result. The application can realize in-depth and systematic research on the lithium dendrite growth and stripping mechanism in the solid-state battery, thereby enabling the cycle performance of the battery to be predicted based on the lithium dendrites, and being conducive to targeted regulation and improvement to improve the battery performance.

The invention discloses a vibration fatigue finite element analysis method for a vertical low-temperature heat-insulation gas cylinder system. The method comprises the following steps: constructing a three-dimensional model of the vertical low-temperature heat-insulation gas cylinder system by utilizing modeling software; respectively importing the three-dimensional models of the vertical low-temperature heat-insulation gas cylinder system into ANSYS finite element analysis software, setting material attributes according to reality, and performing contact and grid division; setting load and constraint according to the actual vibration test working condition, and calculating the inherent frequency of the vertical low-temperature heat-insulation gas cylinder system in the ANSYS modal analysis module; converting the actually measured pavement unevenness power spectral density or the national standard pavement unevenness power spectral density into a random vibration load, and calculating a random vibration dynamic response by combining the inherent frequency obtained by modal analysis; the random vibration fatigue life of the low-temperature heat-insulation gas cylinder system is determined by combining an S-N curve of a material and a fatigue failure criterion, and theoretical guidance is provided for vibration characteristic research and safety application of the vertical low-temperature heat-insulation gas cylinder system.

The present invention discloses a switched reluctance motor control method based on a neural network algorithm. First, the rated speed of the motor is determined according to the motor power and starting time, the motor is modeled and analyzed in finite element analysis software to obtain the electromagnetic parameters of the motor, the output torque of the motor under different chopping currents is analyzed by finite element analysis, and the chopping current amplitude is determined. On this basis, the product of the maximum average output torque and the torque-current ratio is maximized, and the optimal opening and closing angles are obtained through finite element simulation scanning. A set of nonlinear mappings with the motor speed as input and the opening and closing angles as output are obtained. The mapping is fitted through a BP neural network learning algorithm to obtain the optimal control curve at each speed. Finally, the control parameters are adjusted by the curve to control the operation of the motor. The method of the present invention simplifies the control model by flexibly adjusting the control parameters, and has higher output torque and smaller torque pulsation.

The present invention provides a method, device, equipment, and medium for designing a flexible pipe for a ship's sea-access system, belonging to the field of ship technology. The method comprises: constructing a static model of the hull shell based on finite element analysis software; simulating the deformation of the hull shell at different drafts based on the static model of the hull shell to obtain different expected displacement compensation amounts for the flexible pipe; and determining the optimal displacement compensation index of the flexible pipe based on the different expected displacement compensation amounts for the flexible pipe. The present invention can effectively avoid the flexible pipe displacement compensation index being too large, resulting in waste and pressure risks, and the flexible pipe displacement compensation index being too small, resulting in axial or radial deviation problems during operation and the risk of fracture, thereby ensuring the safe operation of the ship's sea-access system.

The invention discloses a neural network method and computer system for foundation pit soil parameter uncertainty inversion, and the method comprises the following steps: 1, building a numerical simulation data set: employing finite element analysis software to build a two-dimensional numerical model of actual foundation pit engineering excavation; selecting a horizontal displacement measuring point at the midpoint of the long side of the enclosure structure of the actual foundation pit engineering; generating combinations of more than 10000 groups of soil mass parameters through a Latin hypercube sampling method, extracting more than 70% of the combinations of all the soil mass parameters to form a training set, and forming a test set by the groups of the remaining soil mass parameters; 2, constructing and training a neural network model; 3, acquiring actual engineering data, and acquiring horizontal displacement data of an actual vertical measuring line of the enclosure structure; 4, performing uncertainty inversion; and 5, outputting and applying a result. According to the method, the accuracy and reliability of parameter estimation can be improved, and scientific support is provided for safe construction and optimization of foundation pit engineering.

The invention relates to the technical field of intelligent auxiliary calculation and shell spring metal forming, and provides a hyperbolic aluminum plate springback intelligent calculation and prediction method and system. The method comprises the following steps: automatically setting a finite element analysis software forming analysis strategy, collecting stress data and different amplitude data of an aluminum plate in a Z direction, and generating an analysis file; automatically processing the analysis file by utilizing a pre-written series restart analysis script to obtain Z-direction displacement of each point corresponding to the hyperbolic aluminum plate after springback; training a neural network model by taking a processing result obtained by automatic processing, corresponding coordinates before simulation and material parameters during analysis as input data; and setting material parameters, inputting the material parameters into a coordinate data table, and based on the trained neural network model, outputting a coordinate correction result of each point corresponding to the hyperbolic aluminum plate so as to realize estimation and correction of the hyperbolic aluminum plate rebound error. And leap-type upgrading of hyperbolic aluminum plate springback analysis from manual trial and error to intelligent prediction is realized.

The invention relates to the technical field of metal processing, in particular to an optimization method for prolonging the service life of an aluminum alloy extrusion die and improving the forming precision of the aluminum alloy extrusion die, which comprises the following steps of: adopting finite element analysis software, constructing a three-dimensional model of the aluminum alloy extrusion die matched with reality, setting material attributes and boundary conditions, and establishing a three-dimensional model of the aluminum alloy extrusion die; an innovative design concept of asymmetric reinforcing ribs is introduced, H13 high-toughness hot working steel is adopted as a mold core material, pre-hardened 40Cr steel is adopted as a mold sleeve material, the wear resistance and corrosion resistance are improved through mold core surface nitriding treatment, and an innovative design of an internal annular cooling channel and a spiral backflow structure is adopted, so that the aluminum alloy extrusion mold with higher performance and reliability is obtained. The problems that a traditional aluminum alloy extrusion die is short in service life, low in forming precision and difficult to continuously optimize and improve after a production test due to unreasonable stress distribution, poor material selection and matching, insufficient surface and contact surface strengthening, unreasonable cooling channel structure and the like are solved.

The invention discloses a finite element simulation method for multi-pass rolling of a Ti2AlNb alloy, relates to the technical field of finite element simulation, and is used for solving the technical problems that the rolling efficiency is low, the prediction precision of the strain stress of a formed part is reduced and the quality evaluation difficulty of the formed part is high as the finite element simulation in the existing plate rolling process is mostly concentrated in a single rolling process. The finite element simulation method for multi-pass rolling of the Ti2AlNb alloy comprises the steps that a three-dimensional geometric model of a roller, a rolling plate and a push block is established, and material attributes are given to the three-dimensional geometric model; a thermal deformation constitutive model of the Ti2AlNb alloy is determined; importing the constitutive model into finite element analysis software; the positions among the roller, the rolling plate and the push block are set, and an assembly body is formed; an initial heating procedure and a rolling deformation procedure are created through a module editor, and a heating-deformation alternating procedure is determined; the method comprises the following steps of: performing grid division on a roller, a rolling plate and a push block, setting boundary conditions, and automatically solving by configuring process parameters and an operation program.

The invention discloses a karst area subway track bed floating simulation method based on finite element analysis software, which adopts the finite element analysis simulation software and comprises the following steps of: 1, simplifying a steel rail of a to-be-simulated karst area subway track bed in a pressed state into a beam unit, simplifying a track bed main body and a lower backfill layer into entity units, and simplifying the beam unit into a beam unit; constraint of a fastener system on a steel rail is simplified into a point supporting linear spring, supporting is simplified into a nonlinear rod unit which can only bear pressure, and a backfill layer of a subway ballast bed in a karst area to be simulated is simplified into a rod unit; 2, setting boundary conditions; 3, modeling the simplified subway track bed of the karst area to be simulated; in modeling, buoyancy is fully distributed under one single roadbed slab needing to be calculated in the erected roadbed main body, and the influence of buoyancy under other single roadbed slabs is neglected; a slab is added to each of the two sides of a single roadbed slab needing to be calculated so as to reduce the influence of boundary conditions on a calculation area.

The application discloses a kind of flat wire winding permanent magnet synchronous motor hybrid thermal network modeling method, belong to the temperature field analysis design technical field of permanent magnet synchronous motor.Utilize two-dimensional finite element analysis software FEMM to calculate the detailed temperature distribution in the radial direction of motor, again in combination with thermal resistance network method to winding end space area and motor axial heat dissipation are modeled, on the basis of guaranteeing calculation precision, reduce model calculation time.The application has the advantages of high calculation precision, high calculation efficiency, compared with three-dimensional transient field finite element analysis, the model has faster calculation speed.On the other hand, compared with the traditional lumped parameter network model, the model can show more abundant permanent magnet motor temperature field results.