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Math. Comput. Appl. 2016, 21(4), 47; doi:10.3390/mca21040047

Multi-Objective Optimization of a Spring Diaphragm Clutch on an Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II)

1
School of Mechanical Engineering, Sichuan University of Science and Engineering, Zigong 643000, China
2
Sichuan Provincial Key Lab of Process Equipment and Control Engineering, Zigong 643000, China
3
School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Fazal M. Mahomed
Received: 25 September 2016 / Revised: 8 November 2016 / Accepted: 17 November 2016 / Published: 3 December 2016
View Full-Text   |   Download PDF [1288 KB, uploaded 3 December 2016]   |  

Abstract

The weight coefficients of the diaphragm spring depend on experiences in the traditional optimization. However, this method not only cannot guarantee the optimal solution but it is also not universal. Therefore, a new optimization target function is proposed. The new function takes the minimum of average compress force changing of the spring and the minimum force of the separation as total objectives. Based on the optimization function, the result of the clutch diaphragm spring in a car is analyzed by the non-dominated sorting genetic algorithm (NSGA-II) and the solution set of Pareto is obtained. The results show that the pressing force of the diaphragm spring is improved by 4.09% by the new algorithm and the steering separation force is improved by 6.55%, which has better stability and steering portability. The problem of the weight coefficient in the traditional empirical design is solved. The pressing force of the optimized diaphragm spring varied slightly during the abrasion range of the friction film, and the manipulation became remarkably light. View Full-Text
Keywords: clutch; diaphragm spring; multi-objective; optimization; NSGA-II clutch; diaphragm spring; multi-objective; optimization; NSGA-II
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhou, J.; Wang, C.; Zhu, J. Multi-Objective Optimization of a Spring Diaphragm Clutch on an Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II). Math. Comput. Appl. 2016, 21, 47.

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