Optimization Modeling of Gas Catapult Interior Ballistic Parameters Based on NSGA-II Algorithm

Based on the classical catapult interior ballistic theory, a numerical analysis method was applied to solve the interior ballistic mathematical model and evaluate the effect of different interior ballistic parameters on the interior ballistic performance. The burning rate coefficient, burning rate pressure exponent, virtual quality coefficient, and thermal correction coefficient were used as optimization variables, and the consistency between the theoretical and experimental values was used as the optimization objective. The NSGA-II algorithm was used to optimize the interior trajectory parameters, the Pareto optimal solution of each optimization variable was obtained, and the optimal compromise solution was used to select a reasonable optimal solution. The optimization design results demonstrated that the theoretical calculations of the interior ballistics were in agreement with the experimental values, and the differences between the theoretical and experimental values of the maximum bore pressure and outlet velocity were smaller. The optimization method used in this study can effectively improve the calculation accuracy of the interior ballistic mathematical model and is of significance to interior ballistic optimization design.