Research On Triangular Mesh Simplification And Long-narrow Triangular Mesh Optimization Based On Industrial CT Image

The triangular mesh model is a commonly used model in the fields of finite element analysis,3D printing,and rapid prototyping.Due to the incomplete algorithm,the complex cavity of the detected workpiece and the aging of the instrument,the image generated by the industrial CT scanning workpiece has certain errors in the process of reconstructing the triangular mesh model.The reconstructed triangular mesh model has a large amount of data and a narrow triangle.More grids.In view of the above problems,this paper mainly completes the 3D reconstruction of the workpiece to the mesh simplification,the narrow triangular mesh optimization in the grid based on the workpiece image of the industrial CT scan,and finally prints it through the 3D printer,mainly research The content is as follows:(1)The MC algorithm is used to reconstruct the industrial CT image in three dimensions.First,the scanned two-layer two-dimensional image data is regarded as a cube;then the adjacent cubes are processed sequentially in order and judged whether or not the isosurface intersects and the table classification is used,and the equivalence surface and the cube are calculated by the normal vector interpolation method.The intersection of the edges;finally,according to the relative position of each vertex of the cube and the isosurface,the point surface information of the isosurface is obtained and the vertex normal vector is adjusted to obtain the three-dimensional mesh model.In this paper,a mesh model with good quality nozzles and carburetor is reconstructed.(2)A triangular mesh simplification method based on improved 3 subdivision method is proposed.This method adds Laplacian coordinates as the correction factor of the folding point.In addition,four folding costs are determined and the order is determined as the basis for folding.This method can effectively The mesh data stream is reduced and the geometric error of the simplified model and the original model is smaller.The operational error of the mesh simplification can be effectively reduced,the number of over-common vertices in the mesh model can be reduced,and the characteristics of the mesh model can be maintained.(3)Aiming at the large number of small or narrow triangular meshes in the mesh after mesh simplification and correlation optimization,a narrow triangular mesh optimization algorithm based on least squares support vector machine is proposed.Firstly,a narrow triangular mesh is detected,and the training sample region of the mesh model is acquired;then the second-order weighted Laplacian coordinates of the vertices of the narrow triangular mesh and the second-order neighborhood triangular mesh are taken as XTrains;The coordinates on the tangent plane are YTrains;the hexadecimal crossvalidation is used to determine the kernel function parameters,and finally the narrow triangular mesh and its first-order neighborhood mesh are used as the test set to obtain the final predicted vertex position.The experimental results show that the proposed method greatly reduces the number of narrow triangular meshes in the mesh model and improves the quality of the mesh model.(4)The mesh simplification and narrow triangle mesh optimization methods are integrated into the software platform and the experiments of reverse engineering using industrial CT technology are studied with examples.The scanned industrial CT images can be efficiently reconstructed,simplified and narrow triangular grids.Optimized to obtain a triangular mesh model of better quality STL format.Finally,it is printed using a 3D printer to obtain a streamlined,high-quality print product.