5 results about "Volume mesh" patented technology

The present application belongs to the technical field of solid engine nondestructive testing and finite element analysis, and relates to a solid engine finite element analysis method based on CT image fusion modeling, which comprises the following steps: step S1: performing CT step-by-step scanning on key positions of a defect high-occurrence area of a solid engine to be tested to obtain real CT images of the defect part; step S2: constructing a cross-section model of a part to be simulated, simulating CT data of an unscanned area, and generating a simulated CT image; step S3: fusing the real CT image and the simulated CT image to generate a triangular facet mesh model; step S4: importing the triangular facet mesh model into 3-matic software to generate a volume mesh model that can be used for finite element analysis; and step S5: importing the volume mesh model into Abaqus finite element analysis software to perform health state evaluation. The present application fuses the simulated CT image and the real CT image, and effectively reduces the detection cost and technical difficulty.

A technique generates a hierarchical three-dimensional structure or volume mesh and uses intelligent compaction using a Barycenter compact model. Any primitive cells or blocks can be represented physically by a Barycenter compact model (or Barycenter model), and any black box model can also be physically represented by a Barycenter compact model physically. A boundary condition between blocks is formulated by the Barycenter compact model. Boundary condition problems between blocks can be limited within two levels only if using the Barycenter compact model. A technique generates a hierarchical three-dimensional volume mesh and uses intelligent compaction using a Barycenter compact model.

This application provides an automatic RTM mesh generation method based on implicit distance mapping and normal growth, comprising: acquiring a triangular mesh on the surface of a composite material part; obtaining a local normal field on the part surface by calculating the unit normal vector of each triangular facet; using the implicit distance field as the geometric representation basis, converting the layup thickness into a distance offset value according to the thickness mapping relationship to generate an enhanced initial reference surface; projecting points on the part surface onto the implicit distance field through the thickness mapping relationship, calculating the signed distance value of each point, determining the nested region affiliation, and obtaining supplementary nested space affiliation labels; using the optimized material region as boundary constraint conditions, performing voxel growth operations layer by layer along the local normal field of each layer to generate an initial volume mesh corresponding to each layup; and outputting the final solid mesh for simulation analysis of resin transfer molding process flow and curing.

A computer-implemented method of generating a volume mesh between two proximate, disjoint, and opposing mesh surfaces of a three-dimensional object in a modelling system is described. In the method, a projected volume is determined, wherein a mesh volume having a first topology is generated when the volume reaches the opposing mesh surfaces within a distance determined by the local mesh size. A second volume mesh with a different topology is generated when the projected volume does not reach the opposing mesh surface.

This invention discloses a multi-level partitioning constraint method and apparatus for general mesh deformation problems, relating to the field of mesh deformation technology in numerical computation. The method includes: reading mesh data; partitioning the object surface mesh into multiple levels; constructing a local radial basis function interpolation system within each partition using a greedy algorithm; using the difference between the previous level deformation result and the target deformation result as the deformation target to progressively correct the positions of the object surface and volume mesh nodes; calculating the global deformation using radial basis functions in the first level, and limiting the local deformation range using dual-constraint radial basis functions in non-first levels; accelerating the calculation of dynamic and static boundary distances using distance search based on K-dimensional tree pre-screening; and outputting the deformed mesh. This invention avoids the high cost of direct global solution through multi-level partitioning and hierarchical point selection strategies, significantly reducing the computational cost of constructing a radial basis function interpolation system in large-scale 3D mesh deformation while maintaining mesh quality and deformation accuracy, effectively improving the efficiency of deformation calculation.