Authors: Necmettin Kaya
Addresses: Uludag University, Mechanical Engineering Department, Bursa 16059, Turkey
Abstract: In this paper, shape optimisation of an automobile clutch diaphragm spring is performed using a genetic algorithm. In order to have high fatigue resistance, optimum window profile is determined and concentrated stress at the window region is decreased. A genetic algorithm based approach is developed to optimise the diaphragm spring window profile which has concentrated stress, through integrating a finite element code running in batch mode to compute the objective function values for each generation. Finally, a hill climbing local search algorithm is employed to tune the window profile parameters.
Keywords: automotive clutch; diaphragm spring; genetic algorithms; hill climbing; shape optimisation; optimal design; vehicle design; fatigue resistance; stress distributions; modelling; stress analysis; FEA; finite element analysis.
International Journal of Vehicle Design, 2006 Vol.40 No.1/2/3, pp.126 - 143
Available online: 21 Dec 2005 *Full-text access for editors Access for subscribers Purchase this article Comment on this article