On the Development of Virtual Inner Loops for Feature Recognition

• Published in: Key Engineering Materials Vol. 656-657; pp. 761 - 767
• Main Authors: Wang, Ming Hsuan, Lai, Jiing Yih, Chiu, Yu Kai, Hsu, Chia Hsiang, Tsai, Yao Chen, Huang, Chung Yi
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 23.07.2015
• Subjects: Algorithms; Boundary conditions; Feasibility; Feature recognition; Industrial applications; Searching; Taiwan; Feature Recognition; Virtual Inner Loop; Rib Recognition; Hole Recognition
• ISBN: 3038354953; 9783038354956
• ISSN: 1013-9826; 1662-9795; 1662-9795
• DOI: 10.4028/www.scientific.net/KEM.656-657.761

Typical feature recognition algorithms in industrial applications are primarily used for solving cases where a feature locates on a single face only. A feature locating on multiple surfaces is quite common in real CAD models, but it has not been received extensive study yet. The reason is because the loop data in current B-rep model is limited to a face only. The aim of this study is to develop a method to search for all kinds of inner loops on a CAD model, including the ones within a face and those across multiple faces. These inner loops are called virtual inner loops because they do not exist in current B-rep model. Several realistic examples are also presented to illustrate the meaning and feasibility of the proposed method.