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

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
https://doi.org/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.
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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.42How 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  - 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  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.42
DO  - https://doi.org/10.2991/icecee-15.2015.42
ID  - Chen2015/06
ER  -