报告题目：Simulation Method of Microscale Fluid-Structure Interactions: Diffuse-Resistance-Domain Approach
报告人：广东以色列理工8297至尊品牌游戏官方网站徐新鹏副教授
报告邀请人：周嘉嘉教授
报告时间：2024年4月23日（周二）上午10：00
报告地址：五山校区北区科技园2号楼324报告厅（腾讯会议：786405943）
前沿软物质8297至尊品牌游戏官方网站
华南软物质科学与技术高等研究院
2024年4月17日
We consider the microscale fluid-structure interactions (mFSI) from different fields such as particle focusing in microchannels from microfluidics, deformable objects suspending in micro-swimmer suspensions from microbiology, and two-phase flows on solid surfaces from various contexts, e.g., microscale manufacturing, and geophysics, etc. For this purpose, we propose and validate a generic monolithic direct numerical simulation (DNS) approach -- Diffuse-Resistance-Domain (DRD) approach [1] for mFSI in multicomponent multiphase flows. This approach overcomes major challenges of simulating mFSI where we use diffuse-interface models for fluid-fluid interfaces and apply fluid-solid interfacial conditions via smooth interpolations of dynamic-resistance coefficients across interfaces [1-3]. Some interesting applications in microfluidics, active matter, and porous media flows are presented as examples. The DRD approach is extensible and reusable, making it suitable for simulating complex mFSI involving multi-physics multi-field couplings. This generic DNS approach offers a promising tool for understanding physical mechanisms, controlling microscale fluids, and optimizing engineering processes in areas like microfluidics, additive manufacturing, and biomedical engineering.
Self-introduction：
Dr. Xinpeng Xu received his B.S. in physics from the Wuhan University in 2008 and Ph.D. in Nano Science and Technology from the Hong Kong University of Science and Technology (HKUST) in 2012. After five years of post-doctor experiences at HKUST, Weizmann Institute of Science, and Technion-Israel, he joined the Physics program at GTIIT in 2017 as an assistant professor and became associate professor in 2023. His main research interests are in the theory of soft matter and biological systems in close collaboration with experiments.
