Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

Study on Half Shaft Bushing Punching Slug Defect and Process Optimization

Authors
Li-ying Liu, Wan-gui Yao, Pan Li
Corresponding Author
Li-ying Liu
Available Online February 2017.
DOI
10.2991/icmeim-17.2017.112How to use a DOI?
Keywords
Punching Process, Half Shaft Bushing,Numerical Simulation,Process Optimization
Abstract

Half shaft bushing is the important parts of automobile axle housing. Slug is a very typical defect in metal punching progress. In this dissertation, the punching slug forming process has been simulated by DEFORM-3D software, and related causes have been analyzed. To optimize the process data for punching process and ensure the appropriate thickness of the slug, BP neural network combined with genetic algorithm is applied. Qualified half shaft bushing has been produced with the process data after optimizing in the practical experiment. The research results are of great worth for diminishing the half shaft bushing forming defects and making the reasonable technological procedure.

Copyright
© 2017, 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 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Series
Advances in Engineering Research
Publication Date
February 2017
ISBN
10.2991/icmeim-17.2017.112
ISSN
2352-5401
DOI
10.2991/icmeim-17.2017.112How to use a DOI?
Copyright
© 2017, 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  - Li-ying Liu
AU  - Wan-gui Yao
AU  - Pan Li
PY  - 2017/02
DA  - 2017/02
TI  - Study on Half Shaft Bushing Punching Slug Defect and Process Optimization
BT  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 662
EP  - 665
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.112
DO  - 10.2991/icmeim-17.2017.112
ID  - Liu2017/02
ER  -