Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

Simulation of Cushion Characteristic of Airbags Based on Corpuscular Particle Method

Authors
Mohan Zhou, ChangcHun Di, YuLiang Yang
Corresponding Author
Mohan Zhou
Available Online March 2017.
DOI
10.2991/amcce-17.2017.34How to use a DOI?
Keywords
Airdrop, Airbag, Corpuscular particle method, Cushion Characteristic.
Abstract

In this paper, cushion process of the cylinder airbag in airdrop equipment landing system has been simulated. Based on the finite element theory, the finite element model of the airbag cushioning system is modeled by using the dynamic analysis software LS-DYNA in ANSYS, and the air bag cushion process is simulated by the corpuscular particle method. The simulated variation of airbag cushion height, cargo table acceleration meet the requirements of equipment airdrop overload. Compared with the traditional control volume method, the corpuscular particle method simulation is verified. The research results can provide reference for the engineering staff in the airbag design or reliability.

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 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.34
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.34How 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  - Mohan Zhou
AU  - ChangcHun Di
AU  - YuLiang Yang
PY  - 2017/03
DA  - 2017/03
TI  - Simulation of Cushion Characteristic of Airbags Based on Corpuscular Particle Method
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 200
EP  - 203
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.34
DO  - 10.2991/amcce-17.2017.34
ID  - Zhou2017/03
ER  -