A systematic approach for Cad model generation Of hole features from point cloud data

One of the most familiar problem in reverse engineering for generating CAD model from point cloud of physical part is presence of deep and narrow holes. Triangulation is one of the important step for generating a CAD model in reverse engineering. Due to formation of incorrect triangulations along the boundary of a hole, reconstruction algorithms are not able to recover the hole boundaries. A systematic approach for CAD model generation of parts with hole features is presented in this paper, which includes three modules of the system: a pre-processing algorithm to reduce the size of point cloud data, surface reconstruction algorithm based on Delaunay triangulation, and post processing algorithm to refine the mesh generated through triangulation. The proposed system is verified on some example parts containing hole features. The results obtained from the proposed system are encouraging and, we intend to implement this on some point cloud data obtained from physically existing parts.