Based on parametric modeling and neural network technology,an optimization method for double-lip oil seal structure was proposed.With the thickness of the sealing lip and the coordinates of the lip tip as design variables,the parametric model of the double lip oil seal was established.The optimal Latin hypercube sampling method was used to sample the design space and the finite element analysis was combined to carry out the design of experiment.The neural network was introduced to fit the response surface model and approximatively replace the objection function,the influence of each design parameter on contact pressure,radial force and equivalent stress was comprehensively analyzed.Taking the maximum contact pressure,the minimum equivalent stress and redial force as objectives,and using the optimization algorithm to find the optimal solution in the design space,a mathematical model was established for the optimization design of the double-lip seal.The results show that the contact pressure of the optimized oil seal is increased by 6.3% and the contact pressure distribution is more in line with the requirements of a good seal.Both the equivalent stress and radial force are significantly reduced,so as to improve the reliability of the oil seal.The improvement in the performance of the lip seal proves the effectiveness of this optimization method.