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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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