
Zengshun Chen
Articles
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Dec 5, 2024 |
pubs.aip.org | Crystal Owens |Zengshun Chen |A-Man Zhang
where Introducing a viscous effect similar to that of turbulent viscosity might effectively scale the experimental liquid film thickness. Therefore, we assume that the dimensionless turbulent viscosity in the numerical calculations corresponds to the actual Reynolds number.
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Dec 4, 2024 |
pubs.aip.org | Politecnico di Torino |Crystal Owens |Zengshun Chen |A-Man Zhang
In this study, computational fluid dynamics simulation was used to derive full understanding of a bubble rising in liquid metals with the presence of an external horizontal magnetic field. The major aim of the study was to develop new correlations for bubble velocity and stability in liquid metals. In-house code PSI-BOIL (Parallel SImulator of BOILing phenomena, developed by Paul Scherrer Institute, Switzerland) has been used for the simulations.
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Dec 4, 2024 |
pubs.aip.org | Harbin Engineering |Qingdao Innovation |Crystal Owens |Zengshun Chen
The water entry cavity and load characteristics obtained through scaled-down tests are correlated with the atmospheric pressure and density at the free surface. The evaluation of the influence of the cavitation number and atmospheric density coefficient is highly essential for scale tests to improve the prototype prediction accuracy.
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Dec 4, 2024 |
pubs.aip.org | Aerospace Engineering |Crystal Owens |Zengshun Chen |A-Man Zhang
Direct numerical simulations (DNSs) are conducted to investigate the modulations of large-scale motions (LSMs) on the turbulent/non-turbulent interfaces (TNTIs) in spatially developing compressible mixing layers with convective Mach numbers ( ) of 0.4 and 0.8. Turbulent statistics, including velocity profiles, turbulent Mach number, normalized growth rate, Reynolds stress, and velocity spectrum, are analyzed to validate the DNS data.
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Dec 4, 2024 |
pubs.aip.org | Crystal Owens |Zengshun Chen |A-Man Zhang
The last few years have witnessed an explosion of new numerical methods for filament hydrodynamics. Aside from their ubiquity in biology, physics, and engineering, filaments present unique challenges from an applied-mathematical point of view. Their slenderness, inextensibility, semiflexibility, and meso-scale nature all require numerical methods that can handle multiple lengthscales in the presence of constraints.
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