报告人简介：Dr. Rui Qiao is the Director of the Transport Phenomena Laboratory at Clemson University.  He graduated from Huazhong University of Science and Technology in 1996 with a Bachelor degree. He subsequently pursued graduate study at Tsinghua University, and obtained an M.S. degree in 1999. He joined the Computational MEMS/Nanotechnology group led by Professor Narayan Aluru at University of Illinois at Urbana-Champaign in 2000 and received a Ph.D. degree in Mechanical Engineering in 2004. Since 2005, he has been an assistant professor in the Department of Mechanical Engineering at Clemson University. Dr. Qiao’s research expertise includes micro/nanofluidics, physical chemistry, atomistic/mesoscopic simulation methods, and computational fluid dynamics and heat transfer. He has published 32 articles in areas such as combustion, micro/nanofluidics, heat transfer in complex fluids, nanotoxicology, and electrical energy storage. These articles have been cited for more than 500 times in the last ten years.

 

报告内容简介：Nanofluids are a new type of heat transfer fluids consisting of nanoparticles dispersed in base fluids. Nanofluids attracted significant attention because earlier experimental studies indicated that the thermal conductivity of the base fluids can be enhanced dramatically even with a small amount of nanoparticles. The mechanisms of the apparent enhancement of heat conduction in nanofluids have been avidly debated in the last decade. In particular, the Brownian motion of nanoparticles has been hypothesized to enhance heat conduction via induced microcurrents. Experimental validation of this hypothesis has been inconclusive. Here we use first principle simulations to test this hypothesis. We show that our algorithm is capable of accurately modeling the atomistic interfacial thermal resistance and the mesoscopic convection and conduction in particulate suspensions. We highlight that our simulations model the fluctuating hydrodynamics in nanofluids in a thermodynamically self-consistent manner, an issue seldom addressed in prior simulations despite its critical importance. We compare our simulation results with recent experimental data and discuss future directions in nanofluids research.