Numerical simulation of gas-liquid flow through a 90° duct bend with a gradual contraction pipe

Hu, Dongfang; Huang, Zhengliang; Sun, Jingyuan; Wang, Jingdai; Liao, Zuwei; Jiang, Binbo; Jian, Yang; Yang, Yongrong

doi:10.1631/jzus.a1600016

Cited by 8 publications

(1 citation statement)

References 31 publications

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“…Several models such as Munzer-Reichardt model and Logvinovich model have been developed. Hu (2017) conducted numerical simulation and experiments to study the shape of cavitation under different initial conditions. It was concluded that the shape conforms to Logvinovich's independent expansion theorem, expressed as follows:…”

Section: Assumptionsmentioning

confidence: 99%

Ricochet behavior of air–water trans-media vehicle during water-entry crossing

Chen

Liu

et al. 2019

Fluid Dyn. Res.

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In this study, the ricochet behavior of air-water trans-media vehicle (AWTMV) during water-entry crossing was evaluated by both theoretical computations and experiments. First, Logvinovich model was introduced to predict the shape of cavitation. The AWTMV was divided into three areas to deduce hydrodynamic forces based on the relative position of AWTMV and cavitation. Accordingly, a mathematical model of AWTMV during waterentry crossing was established. Then, three types of projectiles including the nose of cone, ogive, and flat were used on an angle-adjustable experimental system to analyze the ricochet behavior under different initial conditions. A comparative analysis was carried out to evaluate the influence on trajectory. The computational and experimental results show a good agreement. Further, the effect of noses on ricochet behavior was evaluated; the experimental and calculation results show that the AWTMV with a cone nose is more likely to change trajectory and behavior under the same initial conditions. Finally, the critical angles of ricochet were derived based on the mathematical model, and an empirical formula is proposed to predict the occurrence of ricochet behavior. These results provide a reference for the design and use of AWTMV.

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Section: Assumptionsmentioning

confidence: 99%