Design optimization on Automobile final drive in Genetic Algorithm and neural network

The structure and size of final drive can affect the dynamic and economic of automobile greatly, therefore it is very important to adopt optimization methods to design the automobile final drive. Being satisfied with the contact strength of gears, tooth beam strength of gears and boundary constraints conditions, the optimization mathematical model is created which is to minimize the sum of volume of pitch circle cylinder of gearsets. Considering the problem of low efficiency and local optimum caused by traditional optimal methods, the hybrid genetic algorithm are adopted to solve the optimization model, and neural network method is applied to fit coefficient. So that the optimization process is simplified and global optimum is acquired reliably.