DocumentCode :
1539330
Title :
Laminae-based feature recognition
Author :
Lim, T. ; Corney, J. ; Clark, D.E.R.
Author_Institution :
Dept. of Mech. & Chem. Eng., Heriot-Watt Univ., Edinburgh, UK
Volume :
23
Issue :
9
fYear :
2001
fDate :
9/1/2001 12:00:00 AM
Firstpage :
1043
Lastpage :
1048
Abstract :
Motivated by the needs of mould and die manufacturers, this paper presents a novel approach to recognizing shape features on geometric models composed of both simple and complex ruled surfaces. The algorithm described uses a network of adjacent 2D-laminae (i.e., bounded surfaces) derived from a component´s CAD model to both locate and create generic protrusion and depression feature volumes. The approach also enables the automatic generation of alternative feature descriptions and requires no predefined feature libraries
Keywords :
CAD/CAM; computational geometry; edge detection; feature extraction; solid modelling; 2D-laminae; 3D models; CAD/CAM; bounded surfaces; depression feature; feature extraction; geometric feature recognition; geometric models; mould manufacture; protrusion feature; Computer aided manufacturing; Computer numerical control; Design automation; Geometry; Libraries; Machining; Pulp manufacturing; Shape; Solid modeling; Virtual manufacturing;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.955117
Filename :
955117
Link To Document :
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