Seoul National University · Engineering
Professor Chongam Kim's research lab specializes in computational fluid dynamics, multiphase flows, and advanced numerical methods for fluid-structure interaction and turbulent flows. The lab focuses on developing physics-based models for cavitation and thermal effects in fluids, innovative finite volume methods for complex flow networks, and gas-kinetic schemes for accurate Riemann solver alternatives. Recent work also extends into high-performance computing and distributed deep learning for scientific computing, emphasizing efficiency and accuracy in heterogeneous GPU environments. The lab bridges fundamental fluid dynamics with cutting-edge computational techniques and machine learning integration for engineering applications.
Figures are computed from collected data and may differ slightly.
Cavitation in thermosensitive fluids is accompanied by a noticeable temperature drop inside a cavity. Motivated by the fact that most popular cavitation models have been developed without considering thermodynamic effects, the present study proposes physics-based corrections to existing cavitation models. Two primary corrections are adopting the physical bubble growth rate and separating bubble number density in the vaporization and condensation terms. The bubble growth rate in the cavitation mo
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