Enhanced Invariance Class Partitioning using Discrete Curvatures and Conformal Geometry

Mesh models have been widely employed in current CAD/CAM systems, where the workpiece is considered as made up of a number of features limited by natural boundaries. The natural boundaries among features are in most cases edges where an abrupt change of point differential geometry properties occurs. However, such features and underlying surface portions could also be connected smoothly without an abrupt change at the natural boundaries. In the context of ISO GPS (Geometrical Product Specifications and Verification) Standards, partitioning is a fundamental operation that decomposes a mechanical part into independent surface portions for a functional specification purpose. In this paper, an enhanced mesh partitioning method is proposed to enable a feature-based decomposition considering kinematic invariance classes. The proposed two-step method includes an initial partitioning based on sharp edge detection and an enhanced partitioning process based on non-sharp edge rectification. The partitioning criteria rely on two surface descriptors derived from shapes' principal curvatures: Curvedness and Shape Index. To refine the boundary points on non-sharp edges, conformal geometry is exploited during the enhanced partitioning process by mapping the 3D surface onto a 2D unit disk. Connecting regions without abrupt changes at their natural boundaries are well partitioned after the boundary rectification process. A statistical evaluation process is used to address invariance class identification for each partitioned surface portion on the part. Experiments and results on different mesh models are presented to demonstrate the effectiveness of invariance class partitioning for ISO GPS. (C) 2020 Elsevier Ltd. All rights reserved.

Automated summary

An enhanced mesh partitioning method is proposed in this paper to enable more accurate feature decomposition by considering kinematic invariance classes. This two-step method involves partitioning based on sharp edge detection and enhanced partitioning based on non-sharp edge rectification. By utilizing conformal geometry to map 3D surfaces onto a 2D unit disk, the boundary points on non-sharp edges are refined, leading to effective partitioning of connecting regions at their natural boundaries.