Numerical simulations of mineral processing equipment

Dr Qi Shao's main research interest lies in employing various numerical modelling methods to address a wide array of practical challenges. His experience encompasses simulating surface hydrology in mining landforms using Cellular Automata approach, investigating fluid-particle interactions within granular structures via coupled CFD-DEM simulations, and modelling multiphase flows within heterogeneous porous media with combined FVM and FEM methods, in the context of geologic CO2 sequestration. In his current role at JKMRC, Qi is dedicated to utilising CFD simulations to enhance and optimise the performance of mineral processing equipment.

Qi obtained his PhD in Environmental Engineering from The University of Queensland in 2015. His doctoral research was primarily centred on utilising numerical modelling to simulate hydrology in mining landforms. Following his PhD, Qi held a position as a Postdoctoral Research Fellow at UQ, focusing on coupled CFD and DEM simulations concerning fluid-particle interactions in hydraulic erosion of granular structures. During his time at the University of Melbourne, Qi's research was dedicated to numerical simulations of solute transport and multiphase flows in heterogenous porous media. His work addressed practical challenges such as contaminant transport, geologic CO2 sequestration, and groundwater flows. Qi's expertise extends to the application of diverse numerical methods, including FEM, FVM, DEM, Cellular Automata and Discrete Event Simulation, to solve a broad spectrum of problems.

Qi's current primary research interest at JKMRC lies in leveraging numerical simulations to improve and optimise the performance of mineral processing equipment.