Optimal design of an automotive diaphragm spring with high fatigue resistance

Kaya N.

INTERNATIONAL JOURNAL OF VEHICLE DESIGN, vol.40, pp.126-143, 2006 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 40
  • Publication Date: 2006
  • Doi Number: 10.1504/ijvd.2006.008457
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.126-143
  • Keywords: automotive clutch, diaphragm spring, genetic algorithms, hill climbing, shape optimisation, SHAPE OPTIMIZATION, GENETIC ALGORITHMS, BETA-SPLINES, STRESS, PLATE
  • Bursa Uludag University Affiliated: Yes


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.