Study on the damage prediction model of PTFE/AL projectiles on the basis of regression analysis

Polytetrafluoroethylene/aluminum (PTFE/AL) projectiles can effectively enhance the damage efficiency of traditional projectiles. Numerical simulation via ANSYS AUTODYN and data analysis via Origin are effective means to help predict the damage efficiency of PTFE/AL projectiles. In order to obtain a suitable damage prediction model to describe the explosive damage behavior, the Smoothed Particle Hydrodynamics (SPH) algorithm was used to describe the deflagration behavior of the core. In addition, core reactive models under different conditions of projectile caliber, impact velocity, Rolled Homogeneous Armor (RHA) steel target thickness, and head metal block thickness were established. The reactive behaviors under the influence of multiple factors were analyzed on the basis of the single-factor model. In addition, the multiple nonlinear regression damage prediction model was obtained, and the effectiveness of the model was verified. The results show that the multiple relationship index model has the highest reliability, and the overall error can be controlled within 20%. The research method has a certain guiding significance for the damage evaluation of the PTFE/AL projectile.