Plenary Lecture
3D Holographic PTV Measurements of Micro-Scale Flows
Professor Sang Joon Lee
Center for Biofluid and Biomimic Research
Department of Mechanical Engineering
Pohang University of Science and Technology (POSTECH)
Korea
E-mail: sjlee@postech.ac.kr
Abstract: Holographic PTV (HPTV) is one of powerful means to get 3D (three-dimensional) velocity field information of flows. A micro-HPTV technique was developed and applied to measure 3D velocity fields of various micro-scale flows, including the flows in straight and curved micro-tubes having a circular cross-section and the 3D motion of red blood cells in a micro-tube. The inertial migration of neutrally buoyant micro-spheres suspended in a micro-tube was also investigated with varying Reynolds number and particle size. In addition, the motile characteristics of 3D motion of free-swimming chain-forming phytoplankton having different number of cells in various configurations were analyzed using the micro-HPTV technique. From time-varying 3D trajectories of swimming microorganisms, their swimming behaviors and swimming motion parameters were extracted successfully. Through these experiments, the micro-HPTV method was found to have strong potential in the accurate measurements of temporal variations of 3D velocity fields of various micro-scale flows and 3D motility of RBCs and microorganisms.
Brief Biography of the Speaker: Sang Joon Lee: He received his MSc and Ph.D. from Dept. of Mechanical Eng. of KAIST(Korea Advanced Institute of Sci. & Tech.) in 1982 and 1986, respectively. In 1986, he worked as a senior researcher at Korea Institute of Machinery Metallurgy. He joined the Dept. of Mechanical Eng. at POSTECH as an assistant professor in 1987 January and he became a full professor in 1999. He was selected as a POSTECH fellow on 2010. His laboratory was designated as a National Research Lab. on 2000 and CRI (Creative Research Initiatives) center on 2010 by Korea government. His research interests include biofluid flow, microfluidics, flow control and advanced flow visualization.