Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

Numerical simulation and optimization of hot stamping and quenching processes of automobile anticollision beam

Authors
Zezhong Chen, Xi Su, Xueyuan Li
Corresponding Author
Zezhong Chen
Available Online December 2016.
DOI
https://doi.org/10.2991/icsma-16.2016.51How to use a DOI?
Keywords
Numerical Simulation; Optimization; Hot Stamping; Quenching; Anticollision Beam
Abstract
LS-DYNA and ANSYS software are adopted to simulate hot stamping and quenching processes of M-shaped 1038mm*1.85mm B1500HS automobile anticollision beam. Different stress distribution are obtained among different start temperature as 800 , 850 , 900 , 950 and different stamping velocity as 25mm/s, 50mm/s, 75mm/s and 100mm/s. The higher the start temperature, the better the metal formability; the higher the temperature at the end of forming, the smaller the flow stress. The faster the stamping velocity, the shorter the cooling time, and the lower the maximum flow stress. After optimization, the difference between the minimum and maximum temperature of forming part decreases from 74 to 47 , indicating that the temperature distribution after cooling is more uniformed.
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Volume Title
Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-274-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsma-16.2016.51How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zezhong Chen
AU  - Xi Su
AU  - Xueyuan Li
PY  - 2016/12
DA  - 2016/12
TI  - Numerical simulation and optimization of hot stamping and quenching processes of automobile anticollision beam
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 284
EP  - 287
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.51
DO  - https://doi.org/10.2991/icsma-16.2016.51
ID  - Chen2016/12
ER  -