Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/23427
Title: Optimal design of an automotive diaphragm spring with high fatigue resistance
Authors: Uludağ Üniversitesi/Mühendislik-Mimarlık Fakültesi/Makine Mühendisliği Bölümü.
0000-0002-8297-0777
Kaya, Necmettin
R-4929-2018
7005013334
Keywords: Engineering
Transportation
Shape optimisation
Hill climbing
Genetic algorithms
Diaphragm spring
Automotive clutch
Stress
Beta-splines
Genetic algorithms
Shape optimization
Plate
Vehicle springs
Optimization
Fatigue of materials
Automotive industry
Issue Date: 2006
Publisher: Inderscience
Citation: Kaya, N. (2006). ''Optimal design of an automotive diaphragm spring with high fatigue resistance''. International Journal of Vehicle Design, 40(1-3), 126-143.
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.
URI: https://doi.org/10.1504/IJVD.2006.008457
http://www.inderscience.com/offer.php?id=8457
http://hdl.handle.net/11452/23427
ISSN: 0143-3369
1741-5314
Appears in Collections:Scopus
Web of Science

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