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　　报告题目：A hybrid LBM-DEM numerical approach with an improved immersed moving boundary method for complex particle-liquid flows involving adhesive particles

　　报告人：Dr. Wenwei Liu

　　University of Surrey，UK

　　时间：2019年9月5日下午14:00

　　地点：北京理工大学3号教学楼146会议室

　　报告人简介：

　　Dr. Wenwei Liu is currently a postdoc research fellow in Department of Chemical and Process Engineering, University of Surrey, UK. I got my BSc and PhD in Department of Energy and Power Engineering, Tsinghua University, in 2012 and 2017, respectively. My research interests include random packings of adhesive micro-particles, adhesive particle flow and hybrid modelling of solid-liquid flow.

　　报告摘要：

　　This work presents a hybrid numerical framework for modelling solid-liquid flow with particle adhesion based on a coupled single-relaxation-time lattice Boltzmann method (LBM) and a discrete element method (DEM) for adhesive particles. The LBM is implemented with an improved immersed moving boundary (IMB) method for solving complex fluid-particle interactions using a fast linear approximation of partially intersected volume between a particle and a lattice cell. It is shown that the linear approximation of the solid fraction is very efficient with good accuracy. In order to model particle adhesion, the Johnson-Kendall-Roberts (JKR) adhesive contact mechanics is adopted with a novel implicit solution to obtain the particle-particle normal force in the DEM. The developed hybrid IMB-LBM-DEM numerical framework is verified with several benchmark tests and further applied in a systematical study of random packings of adhesive microspheres.