Welcome to Acta Armamentarii ! Today is

Acta Armamentarii ›› 2012, Vol. 33 ›› Issue (12): 1473-1479.doi: 10.3969/j.issn.1000-1093.2012.12.011

• Paper • Previous Articles     Next Articles

An Experimental Research on Lowvelocity Projectiles Perforating Fiber and Metal Combined Thin Targets

CHEN Chang-hai1 , ZHU Xi1 , HOU Hai-liang1 , SHEN Xiao-le2 , TANG Ting1   

  1. (1. Department of Naval Architectural Engineering, Naval University of Engineering, Wuhan 430033, Hubei, China;2. Lvshun Proving Ground, Naval Unit No. 91439, Dalian 116041, Liaoning, China)
  • Received:2011-12-21 Revised:2011-12-21 Online:2014-01-09
  • Contact: CHEN Chang-hai E-mail:chenchanghai0746@163.com

Abstract: Lowvelocity ballistic experiments were carried out to study the perforationresistant mechanisms of warship topside composite armor system, which was simulated by composite laminates at the front and homogeneous steel plates at the back. Failure modes and energy absorbing mechanisms were investigated and the influence of the area density of front composite armors on total perforation resistance of combined targets was analyzed. Based on the experiments, an equation was obtained to predict the residual velocities in the case of lowvelocity perforation of combined targets by hemisphericalnosed projectiles according to the failure modes of the targets. The results show that under low velocity perforation, combined targets mainly exhibit local damage. A few amounts of fiber at the impact side of front composite armor are sheared by the projectile. Failure modes of front composite armors are mainly fiber tensile rupture while for steel backing plates, failure modes are primarily petaloid damage. The whole energyabsorbing capability of combined targets increases with increasing the area density of front composite armors. It is shown that theoretical predictions coincide with the experimental results in terms of residual velocities.

Key words: explosion mechanics, lowvelocity perforation, combined target, ballistic experiment, theoretical prediction

CLC Number: