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Proceedings Paper

IFBDS: an intelligent feature-based design system for machining process planning
Author(s): Nabil N. Z. Gindy; Yong Yue; Chengfeng Zhu
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Paper Abstract

CAPP (computer aided process planning) is an important bridge linking CAD and CAM. It has been a major problem to convert design into suitable forms for various applications. Two common approaches (i.e. feature recognition and design by features) have been widely used to tackle this problem, but the progress has not met industrial expectations. This paper presents a hybrid method that combines both approaches to create a feature-based component data model (FBCDM) which is suitable for machining process planning and NC programming. Illustrative examples are provided to demonstrate the concept and algorithms devised. Attempts are made to reduce human intervention to a minimum at the design stage in tagging feature-related information while making full use of geometric reasoning to generate the FBCDM. Essential manufacturability assessment is carried out during the modeling process.

Paper Details

Date Published: 22 March 1996
PDF: 8 pages
Proc. SPIE 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics, (22 March 1996); doi: 10.1117/12.235549
Show Author Affiliations
Nabil N. Z. Gindy, Univ. of Nottingham (United Kingdom)
Yong Yue, Univ. of Nottingham (United Kingdom)
Chengfeng Zhu, Univ. of Nottingham (United Kingdom)

Published in SPIE Proceedings Vol. 2644:
Fourth International Conference on Computer-Aided Design and Computer Graphics
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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