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Computer-Aided Design
Article . 2003 . Peer-reviewed
License: Elsevier TDM
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https://dx.doi.org/10.1016/s00...
Article
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Korea Advanced Institute of Science and Technology: KOASAS - KAIST Open Access Self-Archiving System
Article . 2003
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C-space based CAPP algorithm for freeform die-cavity machining

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2003 English Publisher:Elsevier BVJournal:Computer-Aided Design, volume 35, pages 179-189 (issn: 0010-4485, Copyright policy )
Authors: Choi, B.K. Choi, Byoung Kyu; Ko, K.;

doi: 10.1016/s0010-4485(02)00051-9

handle: 10203/2968

C-space based CAPP algorithm for freeform die-cavity machining

Abstract

Presented in the paper is a C-space based computer automated process planning (CAPP) algorithm for freeform die-cavity machining, which is an extension of the hierarchical CAPP model proposed earlier by the authors. In order to demonstrate its validity, the proposed CAPP algorithm has been implemented and applied to actual die-cavity machining examples.

Related Organizations
Keywords

Die-cavity machining, Machining feature extraction, Computer automated process planning

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
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