Proceedings of the 2014 International Conference on Computer Science and Electronic Technology

the geometry optimization design of a rectangular cross-sectional rail launcher

Authors
Chengwei Yang, Zhen-yuan Liu, Bao Kang
Corresponding Author
Chengwei Yang
Available Online January 2015.
DOI
10.2991/iccset-14.2015.73How to use a DOI?
Keywords
Geometry; Influencing Factors; Optimization Design
Abstract

The conclusion that geometry?quality of the armature?initial charging voltage of the capacitor and capacitance size are the main factors which influence the system performance of a rectangular cross-sectional rail launcher is got by studying of the literature. A mechanical model and electromechanical model are built in this paper. Both the Artificial fish-swarm algorithm (AFSA) and Particle Swarm Optimization (PSO) are imported to optimize the system for rail geometry. The experiment results show that the conclusions obtained by two methods are close which shows the veracity and practicality of this method. This paper can provide certain reference for the design of a rectangular cross-sectional rail launcher.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/iccset-14.2015.73
ISSN
2352-538X
DOI
10.2991/iccset-14.2015.73How to use a DOI?
Copyright
© 2015, 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  - Chengwei Yang
AU  - Zhen-yuan Liu
AU  - Bao Kang
PY  - 2015/01
DA  - 2015/01
TI  - the geometry optimization design of a rectangular cross-sectional rail launcher
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 331
EP  - 334
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.73
DO  - 10.2991/iccset-14.2015.73
ID  - Yang2015/01
ER  -