Lightweight design and research of liquid expansion axle housing based on response surface method-GA

In this paper, the lightweight design and research are carried out for a certain type of hydraulic bulging axle housing. In this paper, the local wall thickness of the axle housing is used as the optimization variable, and the maximum stress of the axle housing under the shock load condition is the response constraint. The Box-Behnken test design method is used to determine the best test point and conduct the test, and the response surface function of the liquid expansion axle housing is established. Then the genetic algorithm (GA for short) is used to solve the response surface function, and finally the goal of optimizing the axle housing quality is achieved. The optimized axle housing meets the design requirements while reducing the mass by 7.4Kg, and the weight reduction rate reaches 10.11%.