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20232026
most citedDirect reduction of iron-ore with hydrogen in fluidized beds: A coarse-grained CFD-DEM-IBM study

2 citations · 2 across the 12 of their papers we have counts for

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5 papers · 1 filter

physics.flu-dyn2023★ 2 cited

Direct reduction of iron-ore with hydrogen in fluidized beds: A coarse-grained CFD-DEM-IBM study

Bin Lan, Ji Xu, Shuai Lu +6

Hydrogen metallurgy technology uses hydrogen as the reducing agent instead of carbon reduction, which is one of the important ways to reduce carbon dioxide emissions and ensure the…

physics.flu-dyn2023

Physics-informed dynamic mode decomposition for short-term and long-term prediction of gas-solid flows

Dandan Li, Bidan Zhao, Shuai Lu +1

Integration of physics principles with data-driven methods has attracted great attention in recent few years. In this study, a physics-informed dynamic mode decomposition (piDMD) m…

physics.flu-dyn2023

Hydrodynamics of polydisperse gas-solid flows: Kinetic theory and multifluid simulation

Bidan Zhao, Kun Shi, Mingming He +1

Polydisperse gas-solid flows, which is notoriously difficult to model due to the complex gas-particle and particle-particle interactions, are widely encountered in industry. In thi…

physics.flu-dyn2023

Direct numerical simulation of Taylor-Couette flow with vertical asymmetric rough walls

Fan Xu, Jinghong Su, Bin Lan +4

Direct numerical simulations are performed to explore the effects of rotating direction of the vertical asymmetric rough wall on the transport properties of Taylor-Couette (TC) flo…

physics.flu-dyn2023

Numerical study on the mechanism of drag modulation by dispersed drops in two-phase Taylor-Couette turbulence

Jinghong Su, Lei Yi, Bidan Zhao +4

The presence of a dispersed phase can significantly modulate the drag in turbulent systems. We derived a conserved quantity that characterizes the radial transport of azimuthal mom…