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Laminae-based feature recognition

Lim, T.C. and Corney, J.R. and Clark, D. (2001) Laminae-based feature recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23 (9). pp. 1043-1048. ISSN 0162-8828

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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

Item type: Article
ID code: 5170
Keywords: geometric feature recognition, CAD, CAM, Mechanical engineering and machinery, Electrical engineering. Electronics Nuclear engineering, Artificial Intelligence, Computational Theory and Mathematics, Software, Applied Mathematics, Computer Vision and Pattern Recognition
Subjects: Technology > Mechanical engineering and machinery
Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Design, Manufacture and Engineering Management
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 15 Jan 2008
    Last modified: 04 Sep 2014 14:42
    URI: http://strathprints.strath.ac.uk/id/eprint/5170

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