6 results about "Ansys software" patented technology

The invention belongs to the field of engine design, and particularly relates to an aero-engine whole machine dynamic structure design parameter optimization method, which utilizes an APDL language of ANSYS software to carry out parametric modeling on an aero-engine whole machine (including a rotor, a support and a stator casing), and applies additional centrifugal force and additional gyroscopic moment generated by maneuvering flight. The stress level of the bearing case, the strain energy distribution of a rotor system and the rotor and stator gap change are obtained through bearing case stress analysis, critical speed analysis and unbalanced response analysis. Based on the analysis results, multi-objective optimization is carried out on complete machine dynamic design parameters, so that the stress level of a force bearing casing is lowest, rotor strain energy distribution meets rotor dynamic design requirements, rotor and stator gap changes are minimum, the rub-impact risk is reduced, optimization of the structural design parameters is completed through software, the design efficiency is improved, and the design cost is reduced. The design period is shortened.

The present application relates to a kind of compressor blade grid parameterization joint call analysis method.The present application is with MATLAB software as total control hub, by the flow control and data interaction ability of MATLAB, the grid parameterization deformation technology of HyperMesh software and the parametric finite element solution technology of ANSYS software are organically integrated together, construct a full-automatic closed loop analysis method and system from variable input to result output.The method realizes the quick response and batch calculation of several kinds of uncertain variables such as geometry, material, load, and is especially suitable for the fatigue life reliability analysis of compressor blade.

This invention relates to the field of solid rocket motor technology, specifically to a method for strength analysis and modeling of solid rocket motor casings. The steps are as follows: S1, import the 3D model of the metal casing into ANSYS software; S2, perform a series of cutting, merging, and deleting operations on the 3D model to convert it into a 2D model; S3, assign material properties to the 2D model and divide it into quadrilateral meshes to obtain a 2D finite element model; S4, based on the coordinate characteristics of the geometric model, select the inner hole line numbers of the front and rear joints of the casing, and sequentially select the inner line groups of the casing according to "points attached to lines" and "lines associated with points," thereby determining the application position of the pressure load; S5, rotate the 2D finite element model by a certain angle to expand it into a 3D model; S6, after applying the pressure load, solve the problem and extract the equivalent stress to evaluate the structural strength of the metal casing. This invention reduces the difficulty of simulation, significantly improves work efficiency, and has good versatility.

The application discloses a kind of finite element structure calculation methods of boom system of curved arm type aerial work platform, belong to aerial work platform technical field.The method is aimed at the combined arm support formed by telescopic arm and folding arm, realizes full-process automation analysis in ANSYS software platform.Specific steps are: after cleaning and mid-surface extraction to geometric model, establish finite element model in Workbench and import Mechanical APDL module;Multiple groups of working condition parameters are input through text file, drive APDL command stream to automatically adjust arm support telescoping and amplitude posture;Then automatically establish slider contact, simulate oil cylinder and hinge point connection;After applying constraint and load, open large deformation effect to carry out static force solution.Program automatically completes batch calculation of all working conditions, and outputs model, result file and key stress and deformation data.The application improves the precision and efficiency of multi-working condition analysis on complex combined arm support.

The invention belongs to the technical field of metal additive manufacturing numerical simulation, and particularly relates to a method for establishing an efficient LPBF block-by-block finite element model based on thermal-mechanical coupling, which comprises the following steps of: establishing an LPBF block-by-block finite element model on the basis of ANSYS software; constructing a three-dimensional heat transfer calculation model and a three-dimensional stress calculation model of the metal LPBF by utilizing an APDL language; the ANSYS software program is used for carrying out grid division on the target workpiece according to a block-by-block modeling strategy, and temperature distribution calculation is carried out according to thermophysical parameters of a target workpiece material; and applying the calculated temperature distribution as a load to the three-dimensional stress calculation model, and performing stress field distribution calculation according to the temperature distribution and the mechanical property parameters of the target workpiece material at different temperatures to obtain stress distribution. The method provided by the invention realizes the prediction of the temperature field and the stress field, can reduce the time cost, and improves the simulation efficiency and the simulation precision.

The invention relates to the field of dam structure intelligent design, and discloses a concrete face rockfill dam partition intelligent optimization method and system. According to the method, a partitioning problem is constructed into a mathematical model which takes four-dimensional geometric parameters as design variables, takes the three-dimensional volume utilization rate of a secondary rockfill area as an optimization target and takes multiple indexes such as dam body settlement and deformation as safety constraints. The method is characterized by comprising the following steps of: firstly, automatically generating a data set of a plurality of groups of design schemes by cooperating AutoCAD and Ansys software; secondly, training and constructing a machine learning agent model capable of replacing high-time-consumption finite element calculation by utilizing the data set; and finally, based on the high-precision agent model, performing efficient optimization by applying an intelligent optimization algorithm, and obtaining a partitioning scheme with the optimal economic benefit under the condition of meeting all security constraints. According to the method, the design efficiency and the optimization level are remarkably improved, and an automatic and intelligent solution is provided for dam partition design.