2 citations · 2 across the 9 of their papers we have counts for
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Physics-informed neural network for inverse modeling of granular flows
Bing Wan, Bidan Zhao, Junwu Wang
Granular flows are ubiquitous in natural and industrial systems, yet their complex dynamics remain difficult to characterize. For inverse problems involving unknown inlet, outlet,…
Mesoscience-based structural theory for heterogeneous gas-solid flows
Yige Liu, Bidan Zhao, Junwu Wang
Quantification of the spatiotemporal dynamics of heterogeneous gas-solid flows is critical for the design, scale-up and optimization of gas-solid reactors. In this article, by usin…
Effects of rough walls on sheared annular centrifugal Rayleigh-Bénard convection
Fan Xu, Jun Zhong, Jinghong Su +4
In this study, we investigate the coupling effects of roughness and wall shear in an annular centrifugal Rayleigh-Bénard convection (ACRBC) system, where two cylinders rotate with…
Center-to-face momentum interpolation and face-to-center flux reconstruction in Euler-Euler simulation of gas-solid flows
Yige Liu, Bidan Zhao, Ji Xu +1
In order to resolve the pressure checkerboard field problem with collocated grid, it is essential to employ the momentum interpolation method when formulating the pressure equation…
A critical comparison of the implementation of granular pressure gradient term in Euler-Euler simulation of gas-solid flows
Yige Liu, Mingming He, Jianhua Chen +4
Numerical solution of Euler-Euler model using different in-house, open source and commercial software can generate significantly different results, even when the governing equation…
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-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…
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…
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…