Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

Analysis and Optimization of Stamping B-pillar of High Strength Steel DH780

Authors
Wenyu Ma, Jianwei Yang, Jun Zhang, Xuebin Zheng, Baochuan Wang
Corresponding Author
Wenyu Ma
Available Online August 2018.
DOI
https://doi.org/10.2991/caai-18.2018.53How to use a DOI?
Keywords
high strength steel; B-pillar; blank holder force; optimization
Abstract

In this study, the high strength steel DH780 produced by Shougang Group was used to form a traditional part B-pillar. The effect of process parameters, namely blank holder force and friction coefficient on the formability was analyzed. The decrease of BHF and friction coefficient can increase the formability. And the optimization methods were introduced and applied to form a qualified part. Three optimization methods were employed, namely optimizing the critical surface of die, modifying the geometric parameter of drawbead, and changing the corner size near the critical area. The qualified part can be formed with the proper optimization.

Copyright
© 2018, 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 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
August 2018
ISBN
978-94-6252-595-5
ISSN
2589-4919
DOI
https://doi.org/10.2991/caai-18.2018.53How to use a DOI?
Copyright
© 2018, 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  - Wenyu Ma
AU  - Jianwei Yang
AU  - Jun Zhang
AU  - Xuebin Zheng
AU  - Baochuan Wang
PY  - 2018/08
DA  - 2018/08
TI  - Analysis and Optimization of Stamping B-pillar of High Strength Steel DH780
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 221
EP  - 224
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.53
DO  - https://doi.org/10.2991/caai-18.2018.53
ID  - Ma2018/08
ER  -