Paper
22 March 1996 IFBDS: an intelligent feature-based design system for machining process planning
Nabil N. Z. Gindy, Yong Yue, Chengfeng Zhu
Author Affiliations +
Proceedings Volume 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics; (1996) https://doi.org/10.1117/12.235549
Event: Fourth International Conference on Computer-Aided Design and Computer Graphics, 1995, Wuhan, China
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nabil N. Z. Gindy, Yong Yue, and Chengfeng Zhu "IFBDS: an intelligent feature-based design system for machining process planning", Proc. SPIE 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics, (22 March 1996); https://doi.org/10.1117/12.235549
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Computer aided design

Data modeling

Manufacturing

Tolerancing

Intelligence systems

Process modeling

Content addressable memory

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