Optimization Design of Interior Trajectory Parameters of Fully-Immersed Artillery

The interior trajectory optimization design of underwater artillery has become an active topic in underwater attack and defense research owing to the increasing threat to underwater security. The launching process of artillery in water is more complicated than that in the air environment, especially regarding small-caliber artillery in the presence of a variable burning rate propellant. In this study, the optimization design of internal ballistic parameters is conducted using a multi-island genetic algorithm, based on the classical interior ballistic model, to investigate the launching process of fully immersed artillery. Some parameters such as the insensitive propellant, work of a projectile on the water column in a barrel, water resistance of the muzzle, and the influence of water depth are considered to establish the interior ballistic equations. The loading and propellant parameters, such as chamber volume, projectile travel length, propellant web size, insensitive depth, surface burning rate coefficient correction, and mass of charge, are set to achieve the maximum bore pressure and muzzle velocity. Engineering analysis of the optimization results shows that the proposed method can quickly achieve reasonable parameter indicators to greatly reduce the workload of interior trajectory design