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Byeong Rog Shin

Researcher at Changwon National University

Publications -  16
Citations -  178

Byeong Rog Shin is an academic researcher from Changwon National University. The author has contributed to research in topics: Cavitation & Sump. The author has an hindex of 6, co-authored 16 publications receiving 158 citations. Previous affiliations of Byeong Rog Shin include Tohoku University.

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Prediction of cavitating flow noise by direct numerical simulation

TL;DR: The far-field noise predicted by direct simulation is well compared with that of acoustic analogy, and it also confirms the f^-^2 decaying rate in the spectrum, as predicted by the model of Fitzpatrik and Strasberg with the Rayleigh-Plesset equation.
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Application of Preconditioning Method to Gas-Liquid Two-Phase Flow Computations

TL;DR: In this article, a preconditioned numerical method for gas-liquid two-phase flows is applied to solve cavitating flow, which employs a finite-difference method of the dual time-stepping integration procedure and Roe's flux difference splitting approximation with the MUSCL-TVD scheme.
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Numerical analysis of 3-D flow through LNG marine control valves for their advanced design †

TL;DR: In this paper, a numerical analysis of three dimensional incompressible turbulent flows through high pressure drop control valves was carried out by using a CFD-ACE code to develop anti-cavitation control valve used in LNG marine system.
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An effective shape of floor splitter for reducing sub-surface vortices in pump sump

TL;DR: In this paper, an experimental investigation on the effective shape of a floor splitter to reduce sub-surface vortices and cavitation which arise in the vicinity of the pump bells in pump sump is performed.
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Numerical investigation of suction vortices behavior in centrifugal pump

TL;DR: In this paper, a numerical simulation on suction vortices behavior in a centrifugal pump was carried out to investigate their influence on the internal flow through impellers including formation and shedding of cavitation by using a finite-volume method and k-ω Shear Stress Transport turbulence model.