Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

Development of Feature Recognition and Extraction System Based on NX Platform

Authors
Yan Cao, Ailing Zhou, Hao Wu, Hengguo Cheng
Corresponding Author
Yan Cao
Available Online September 2012.
DOI
10.2991/emeit.2012.252How to use a DOI?
Keywords
feature recognition, interactive CAPP, information extraction, feature description.
Abstract

The research is to improve the level of CAPP automation and CAD/CAPP integration and lays the foundation for the development of an interactive CAPP system. Feature recognition and extraction from a part based on NX system is beneficial to the integration of CAD/CAPP. Based on the NX/Open interface provided by NX system, the geometrical data of the part can be obtained from its 3D model. Then, non-geometric data and subsidiary relations are added to a feature model that are needed to complete feature recognition and extraction. Thus, the transformation from geometrical data to processing technical data can be realized.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
978-90-78677-60-4
ISSN
1951-6851
DOI
10.2991/emeit.2012.252How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Cao
AU  - Ailing Zhou
AU  - Hao Wu
AU  - Hengguo Cheng
PY  - 2012/09
DA  - 2012/09
TI  - Development of Feature Recognition and Extraction System Based on NX Platform
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1154
EP  - 1157
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.252
DO  - 10.2991/emeit.2012.252
ID  - Cao2012/09
ER  -