Multi-objective optimization design of double resilient groove metal seat for ball valve in liquid hydrogen receiving stations

For the liquid hydrogen receiving station ball valve seat in ultra-low temperature working conditions the cold shrinkage deformation is easy to lead to valve seal failure. Design a dual-elastic groove metal valve seat and a preliminary assessment of its performance. The seat performance is optimized based on the radial basis function (RBF) approximation model combined with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm. The Spearman method is used for sensitivity analysis, and the final multi-objective optimization design variables of the parameters that have a greater impact on the optimization objectives are selected. Based on the maximum equivalent stress S max , maximum deformation D max , minimum fatigue life L min , and mass M as the optimized goal, different design variables have different effects on the four optimization objectives. The optimal Latin superposition method samples the valve seat structure parameters, and the establishment of High-precision RBF proxy model combined with the NSGA-II algorithm to find excellent Pareto cutting-edge solutions, comprehensively considering the performance requirements of valve seats to determine the optimal structural parameters of the valve seat. The maximum stress of the valve seat after the optimization decreased by 43.45%, the maximum deformation decreased by 45.33%, the quality was reduced by 22.49%, and the life expectancy increased by 114.11%. The finite element analysis of the seal verifies that the optimized seat has an excellent compensation effect under the ultra-low temperature conditions of liquid hydrogen.