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Optimal design of an automotive diaphragm spring with high fatigue resistance

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Kaya, Necmettin

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Inderscience

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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.

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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.

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