Genetic Algorithm Optimal Design on Diaphragm Spring by MATLAB
Shuxin Chen, Lingyu Zhang, Xingwang Cheng
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.42How to use a DOI?
- Clutch; Diaphragm Spring; Reserve Coefficient; Optimized Design
- 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.
- 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 - 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 - https://doi.org/10.2991/icecee-15.2015.42 ID - Chen2015/06 ER -