OPTIMIZATION METHODS FOR SPUR GEAR DYNAMICS
In the present paper two different approaches for spur gear noise reduction using micro-geometrical modifications are compared. The two approaches are based respectively on the reduction of Static Transmission Error (STE) and Dynamic Transmission Error (DTE) fluctuations. The dynamic behaviour of the system is computed through a simple lumped parameter model. A genetic algorithm is proposed to find the best solutions inside the parameters space because the evaluation of the objective functions requires finite elements calculations and numerical ODE integrations. A reliability analysis is afterwards performed to evaluate the effect of manufacturing errors on the dynamic performance of the achieved optimum.