J
Jung Shin Lee
Researcher at Yonsei University
Publications - 17
Citations - 314
Jung Shin Lee is an academic researcher from Yonsei University. The author has contributed to research in topics: Boiling & Heat transfer. The author has an hindex of 7, co-authored 16 publications receiving 275 citations. Previous affiliations of Jung Shin Lee include Bharathiar University.
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Natural convection in a rectangular cavity with partially active side walls
TL;DR: In this article, the effect of aspect ratio on the natural convection of a fluid contained in a rectangular cavity with partially thermally active side walls is investigated and the results are obtained for Grashof numbers between 103 and 105 and the effects of the aspect ratios on the flow and temperature fields and the rate of heat transfer from the walls of the enclosure are presented.
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Natural convection in confined fluids with combined horizontal temperature and concentration gradients
Jung Shin Lee,M.T. Hyun,K.W. Kim +2 more
TL;DR: In this paper, steady-state natural convection of a saltwater solution due to the combined horizontal temperature and concentration gradients is studied experimentally in rectangular enclosures of aspect ratio, 0.2 and 2.0.
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Confined natural convection due to lateral heating in a stably stratified solution
TL;DR: In this paper, the steady natural convection of a stably stratified saltwater solution due to lateral heating in a rectangular enclosure of aspect ratio 3.0 was studied, and four distinct flow regimes were observed.
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Critical heat flux enhancement of pool boiling with adaptive fraction control of patterned wettability
Jung Shin Lee,Joon Sang Lee +1 more
TL;DR: In this paper, an adaptive fraction control of the pitch of hydrophobic dots is proposed to solve the high superheat problem and maintain the high CHF, which can avoid the boiling crisis in the center region and drop the superheat in the outer region at low temperature.
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Study of transporting of droplets on heterogeneous surface structure using the lattice Boltzmann approach
TL;DR: In this article, a computational fluid dynamics (CFD) modeling method known as the lattice Boltzmann method (LBM) was used to simulate droplet movement on heterogeneous surfaces.