DOI QR코드

DOI QR Code

Numerical investigation of water-entry characteristics of high-speed parallel projectiles

  • Lu, Lin (School of Mechatronics Engineering, North University of China) ;
  • Wang, Chen (School of Mechatronics Engineering, North University of China) ;
  • Li, Qiang (School of Mechatronics Engineering, North University of China) ;
  • Sahoo, Prasanta K. (Department of Ocean Engineering and Sciences, Florida Institute of Technology)
  • 투고 : 2021.03.01
  • 심사 : 2021.05.26
  • 발행 : 2021.11.30

초록

In this study, an attempt has been made to investigate the water-entry characteristics of the high-speed parallel projectile numerically. The shear stress transport k-𝜔 turbulence model and the Zwart-Gerber-Belamri cavitation model based on the Reynolds-Averaged Navier-Stokes method were used. The grid independent inspection and grid convergence index is carried out and verified. The influences of the parallel water-entry on flow filed characteristics, trajectory stability and drag reduction performance for different values of initial water-entry speed (𝜈0 = 280 m/s, 340 m/s, 400 m/s) and clearance between the parallel projectiles (Lp = 0.5D, 1.0D, 2.0D, 3.0D) are presented and analyzed in detail. Under the condition of the parallel water-entry, it can be found that due to the intense interference between the parallel projectiles, the distribution of cavity is non-uniform and part of the projectile is exposed to water, resulting in the destruction of the cavity structure and the decline of trajectory stability. In addition, the parallel projectile suffers more severe lateral force that separates the two projectiles. The drag reduction performance is impacted and the velocity attenuation is accelerated as the clearance between the parallel projectiles reduces.

키워드

과제정보

This work is supported by the National Natural Science Foundation of China (Grant No. 51909245), the Natural Science Foundation of Shanxi Province (Grant No. 201801D221038), Shanxi Scholarship Council of China (Grant No. 2020-106), the Postgraduate Science and Technology Project of North University of China (Grant No. 20201701).

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