Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

<Previous Article In Volume
Next Article In Volume>

Genetic Algorithm Optimal Design on Diaphragm Spring by MATLAB

Authors
Shuxin Chen, Lingyu Zhang, Xingwang Cheng
Corresponding Author
Shuxin Chen
Available Online June 2015.
DOI
10.2991/icecee-15.2015.42How to use a DOI?
Keywords
Clutch; Diaphragm Spring; Reserve Coefficient; Optimized Design
Abstract

Diaphragm spring is one of the key parts of the clutch. The paper set up a mathematical model to optimize its parameters, which can be make reserve coefficient stability, improve clutch reliability, through analyzing its deformation-load characteristic curve. Based on an instance, the results showed that the optimal design parameters were significantly better than the original design.

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)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
10.2991/icecee-15.2015.42How 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

risenwbib
TY  - CONF
AU  - Shuxin Chen
AU  - Lingyu Zhang
AU  - Xingwang Cheng
PY  - 2015/06
DA  - 2015/06
TI  - Genetic Algorithm Optimal Design on Diaphragm Spring by MATLAB
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 186
EP  - 190
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.42
DO  - 10.2991/icecee-15.2015.42
ID  - Chen2015/06
ER  -