Study on optimal design and vibration characteristics of diaphragm spring based on Genetic algorithm

The parameters of diaphragm spring are optimized and the dimensional in this design determined with careful derivation. global optimization feature genetic algorithm is used to optimize compared damping effect standard algorithms. results show that can significantly reduce force realize vibration control clutch when requirements met. Due large error calculating characteristics by commonly A-L method, finite element method study influence separation finger structure on load-deflection spring. To end, three different window shapes springs verified real-life measurements, effective pressure test data for types (type A, type B C) selected. Finally, load displacement peak valley obtained summing their averages under loading unloading each model. Moreover, a new introducing algorithms into optimal springs. Compared proposed measured data, it has high accuracy