Multi-objective Optimization of a Projectile Tip for Normal Penetration

The main purpose of the present work is multi-objective shape optimization of a projectile tip for impacting and normal penetrating. Velocity drop, weight and inner volume of projectile have beenconsidered as three conflicting objective functions. For this purpose, at the first step, finite elementmodeling was done using ABAQUS/Explicit and projectile penetration was examined in differentgeometric dimensions. Hammersley sequence sampling was employed for designing computerexperiments. In the next step, results of the FEM were employed as raw data for MLF-type neuralnetwork training to achieve a mathematical model which is able to describe velocity drop behavior.Projectile weight and Inner volume were also expressed in explicit mathematical form using geometricrelations. Obtained mathematical models were used as conflicting objective functions for multiobjectiveoptimization of projectile tip using modified NSGA-II. Finally, it is shown that some interesting and important relationships as useful optimal design principles involved in the performance of projectile impact have been discovered by Pareto based multi-objective optimization

Keywords:

Projectile , Impact , Finite Element Method , Neural Networks , Multi-objective Optimization , NSGA-II