Mr Xinxin Tang

Mr Xinxin Tang

Postdoctoral Fellow
Engineering
School of Chemical Engineering

Dr Xinxin Tang is a Post-doc with the Shen Lab of Computational Process Engineering (SCoPE) Lab for Green Metals in the School of Chemical Engineering. His research focuses on the Chemical engineering, Multiphase Flow Modelling, Powder and particle technology as well as hydrometallurgy.

  • Journal articles | 2025
    Luo Z; Tang X; Xie Z; Shen Y, 2025, 'Experimental investigation of the hydrodynamics of chip-like particles in a flat-base spouted bed', Advanced Powder Technology, 36, http://dx.doi.org/10.1016/j.apt.2025.105080
    Journal articles | 2025
    Xiang L; Cao G; Chen S; Tang X, 2025, 'Quantifying and mitigating systematic errors in high-speed visualization of unsteady cavitating flows', Physics of Fluids, 37, http://dx.doi.org/10.1063/5.0282591
    Journal articles | 2024
    Tang X; Shen Y, 2024, 'A bilateral semi-resolved CFD-DEM approach for cost-effective modelling in a rotary drum', Chemical Engineering Science, 299, http://dx.doi.org/10.1016/j.ces.2024.120491
    Journal articles | 2024
    Tang X; Wang S; Jin X; Shen Y, 2024, 'Super-quadric CFD-DEM modelling of chip-like particle-liquid flow in a rotary drum', Powder Technology, 435, http://dx.doi.org/10.1016/j.powtec.2024.119363
    Journal articles | 2024
    Tang X; Wang S; Shen Y, 2024, 'Super-quadric CFD-DEM-VOF modelling of gas–solid-liquid systems', Advanced Powder Technology, 35, http://dx.doi.org/10.1016/j.apt.2023.104282
    Journal articles | 2023
    Tang X; Yue Y; Shen Y, 2023, 'Prediction of separation efficiency in gas cyclones based on RSM and GA-BP: Effect of geometry designs', Powder Technology, 416, http://dx.doi.org/10.1016/j.powtec.2022.118185
    Journal articles | 2022
    Tang X; Yue Y; Wang S; Shen Y, 2022, 'Modelling of gas-solid-liquid flow and particle mixing in a rotary drum', Powder Technology, 409, http://dx.doi.org/10.1016/j.powtec.2022.117758

My research focuses on Computational Fluid Dynamics–Discrete Element Method (CFD–DEM) modelling of liquid–solid–gas flow in rotary drums, applied to the hydrometallurgical leaching of solid waste.