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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.