Abstract:Taking the aerostatic bearing with orifice restrictors as the research object,aiming at the shortcomings of low bearing capacity and stiffness and large mass flow,the response surface design method was used to comprehensively analyze the influence of restrictor parameters on bearing performance and the interaction between parameters.The fitting formula was obtained which can be used to predict the objective function.Taking the maximum bearing capacity,the maximum stiffness and the minimum mass flow as the design objectives,the multi-objective genetic algorithm with elite strategy was used to optimize the bearing performance.The results show that the influence of restrictor parameters on bearing performance is very obvious,and the interaction between parameters has impact on the objective function.Orifice diameter is the dominant interaction parameter of bearing capacity and mass flow,eccentric ratio is the dominant interaction parameter of stiffness.The obtained second-order polynomial fitting formula can approximate the bearing performance and can be used to predict the objective function.After multi-objective optimization,the bearing capacity is increased by 57.1%,the stiffness is increased by 50.2%,and the mass flow is reduced by 40%,which significantly improves the bearing performance.