Yayın: Optimal design of an automotive diaphragm spring with high fatigue resistance
Tarih
Kurum Yazarları
Kaya, Necmettin
Yazarlar
Danışman
Dil
Türü
Yayıncı:
Inderscience
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Özet
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.
Açıklama
Kaynak:
Anahtar Kelimeler:
Konusu
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
Alıntı
Kaya, N. (2006). ''Optimal design of an automotive diaphragm spring with high fatigue resistance''. International Journal of Vehicle Design, 40(1-3), 126-143.
