Please use this identifier to cite or link to this item: https://doi.org/10.1115/DETC2008-49159
Title: General and partial shape matching approaches on feature-based CAD models to support efficient part retrieval
Authors: Li, M.
Fuh, J.Y.H. 
Zhang, Y.F. 
Qiu, Z.M.
Issue Date: 2008
Source: Li, M.,Fuh, J.Y.H.,Zhang, Y.F.,Qiu, Z.M. (2008). General and partial shape matching approaches on feature-based CAD models to support efficient part retrieval. Proceedings of the ASME Design Engineering Technical Conference 3 (PARTS A AND B) : 121-130. ScholarBank@NUS Repository. https://doi.org/10.1115/DETC2008-49159
Abstract: Presently, mechanical design activities are almost fully digitalized and a large percentage of CAD models that are digitally created can be reused to facilitate new designs. Conventional alphanumeric-based part retrieval methods are error-prone. In order to support users to efficiently locate desirable parts to reuse, two novel knowledge-based approaches for feature-based model retrieval are proposed in the paper, namely general shape matching and partial shape matching, to assess CAD models by measuring their overall similarity without details and local similarity of sub-parts, respectively. The first approach simplifies feature-based CAD models from fully detailed to less detailed, and progressively simplified shapes are characterized by general shape descriptors. When a 3D query model that represents the general shape of a desired part is sketched, the approach compares the query model against pre-generated general shape descriptors so that all parts similar to the 3D query in overall shapes are retrieved; therefore the general shape matching is achieved. The second approach extracts reusable sub-parts from feature-based CAD models in an unsupervised way and indexes them using partial shape descriptors. Based on the partial shape descriptors indexed, designers could retrieve all existing parts sharing a desirable sub-part by sketching the shape of the sub-part; the partial shape matching is thereby realized to facilitate the part retrieval on local similarity. The approaches proposed in this paper are implemented on a prototype system and tested by hundreds of mechanical parts. The preliminary results show that the proposed approaches are feasible and promising. Copyright © 2008 by ASME.
Source Title: Proceedings of the ASME Design Engineering Technical Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/51601
ISBN: 9780791843277
DOI: 10.1115/DETC2008-49159
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

10
checked on Jan 9, 2018

Page view(s)

47
checked on Jan 12, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.