IFBDS: an intelligent feature-based design system for machining process planning

Nabil N. Gindy*, Yong Yue, Chengfeng Zhu

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsJi Zhou
Pages394-401
Number of pages8
Publication statusPublished - 1996
Externally publishedYes
EventFourth International Conference on Computer-Aided Design and Computer Graphics - Wuhan, China
Duration: 23 Oct 199525 Oct 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2644
ISSN (Print)0277-786X

Conference

ConferenceFourth International Conference on Computer-Aided Design and Computer Graphics
CityWuhan, China
Period23/10/9525/10/95

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