Transactions of Nonferrous Metals Society of China The Chinese Journal of Nonferrous Metals

您目前所在的位置:首页 - 期刊简介 - 详细页面


Transactions of Nonferrous Metals Society of China

Vol. 22    No. 2    December 2012

[PDF Download]    [Flash Online]    


Advanced feature detection algorithms for incrementally formed sheet metal parts
Amar Kumar BEHERA, Bert LAUWERS, Joost R. DUFLOU

Department of Mechanical Engineering, Katholieke Universiteit Leuven,
Celestijnenlaan 300, B-3001 Leuven, Belgium

Abstract:New advanced algorithms for the detection of detailed features in parts formed by single point incremental forming (SPIF) were developed. The features were detected in STL part specifications that took into account the geometry, curvature, location, orientation and process parameters to detect 33 different features within an expert CAPP system for SPIF. The detection process was facilitated by using multi-level edge segmentation routines that first created a frame of edge features. Within this frame, the remaining features were then detected using region growing algorithms. The results show successful detection for a number of test cases. A case study for a double curved hemisphere illustrates the generation of optimal tool paths using compensation for the detected features in the part. These tool paths lead to the improvement in the accuracy of the formed sheet metal parts.


Key words: feature detection; single point incremental forming; algorithm; CAPP; expert system

ISSN 1004-0609
CN 43-1238/TG

ISSN 1003-6326
CN 43-1239/TG

主管:中国科学技术协会 主办:中国有色金属学会 承办:中南大学
湘ICP备09001153号 版权所有:《中国有色金属学报》编辑部
地 址:湖南省长沙市岳麓山中南大学内 邮编:410083
电 话:0731-88876765,88877197,88830410   传真:0731-88877197   电子邮箱