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CLC number: TP391.7; TG3

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Received: 2008-10-11

Revision Accepted: 2009-04-24

Crosschecked: 2009-08-14

Cited: 5

Clicked: 6695

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.10 P.1439-1449


Automatic recognition of intersecting features of freeform sheet metal parts

Author(s):  Chun-jie ZHANG, Xiong-hui ZHOU, Cong-xin LI

Affiliation(s):  National Die and Mold CAD Engineering Research Center, Shanghai Jiao Tong University, Shanghai 200030, China

Corresponding email(s):   zhang_chunjie@263.net

Key Words:  Feature recognition (FR), Freeform surface, Feature intersection, Sheet metal forming

Chun-jie ZHANG, Xiong-hui ZHOU, Cong-xin LI. Automatic recognition of intersecting features of freeform sheet metal parts[J]. Journal of Zhejiang University Science A, 2009, 10(10): 1439-1449.

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author="Chun-jie ZHANG, Xiong-hui ZHOU, Cong-xin LI",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%T Automatic recognition of intersecting features of freeform sheet metal parts
%A Chun-jie ZHANG
%A Xiong-hui ZHOU
%A Cong-xin LI
%J Journal of Zhejiang University SCIENCE A
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820705

T1 - Automatic recognition of intersecting features of freeform sheet metal parts
A1 - Chun-jie ZHANG
A1 - Xiong-hui ZHOU
A1 - Cong-xin LI
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 10
SP - 1439
EP - 1449
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0820705

This paper presents an approach for recognizing both isolated and intersecting geometric features of freeform surface models of parts, for the purpose of automating the process planning of sheet metal forming. The developed methodology has three major steps: subdivision of B-spline surfaces, detection of protrusions and depressions, and recognition of geometric features for sheet metal forming domain. The input geometry data format of the part is based on an IGES CAD surface model represented in the form of trimmed B-spline surfaces. Each surface is classified or subdivided into different curvature regions with the aid of curvature property surfaces obtained by using symbolic computation of B-spline surfaces. Those regions satisfying a particular geometry and topology relation are recognized as protrusion and depression (DP) shapes. The DP shapes are then classified into different geometric features using a rule-based approach. A verified feasibility study of the developed method is also presented.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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