Keynote Speaker I
Jun Chen, PhD
State Key Laboratory for Turbulence and Complex Systems
Department of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China
Speech Title:Two-Point Statistics of Large-Scale Structures in Turbulent Flow
Abstract: The coherent structure is one of the typical structures of turbulent flow, transporting energy from large eddies to small eddies. To investigate coherent structures in turbulent flows with statistical methods, a large amount of two-point correlation techniques for coherent structure identification and visualization have been, and are currently being, intensively studied by researchers. The interpretation of statistic coherent structures in turbulent flows and their characteristics have attracted attention in recent years. Two-point correlations, involving space-time correlations, two-point spatial correlations, and cross-correlations, as essential to theories and models of turbulence and for the analyses of experimental and numerical turbulence data are reviewed. As one of the statistical coherent structures based on two-point correlations, the velocity-vorticity correlation structure (VVCS) defined by high values of two-point, velocity-vorticity cross-correlation tensor is reported in detail. The geometrical features of the VVCS in compressible channel flow and turbulent boundary layer along with compressibility effects were analyzed. The characteristics of VVCS in turbulent boundary layer on the superhydrophobic surface were experimentally studied. The results show that the VVCS analysis allows for effectively capturing the geometry of coherent structures in turbulent shear flows.
Dr. Jun Chen received the B.S degree in mechanical engineering from the University of Shanghai for Science and Technology in 1990, M.S. in experimental fluid mechanics from Peking University in 1993, and PhD degree in fluid mechanics from Peking University in 2014. He has been working at Peking University since 1993. His research areas are turbulent flows, coherent structures, the Rayleigh-Bénard convection, aerodynamics, and atmospheric boundary layer. He is the Editor-in-Chief of Journal of Fluid Control, Measurement and Visualization, and the member of the editorial board of Journal of Experiments in Fluid Mechanics.
1.Zou, H.-Y., Zhou, W.-F., Chen, X., Bao, Y., Chen, J. and She, Z.-S. (2019) Boundary layer structure in turbulent Rayleigh-Bénard convection in a slim box. Acta Mech. Sin. 35, 713–728.
2.Zhou, W. F., & Chen, J. (2018). Letter: Similarity model for corner roll in turbulent Rayleigh-Bénard convection. Phys. Fluids, 30(11), 111705.
3.Chen, J., Bao, Y., Yin, Z.-X., She, Z.-S. (2017). Theoretical and numerical study of enhanced heat transfer in partitioned thermal convection. Int. J. Heat & Mass Trans., 115 (Part A), 556-569.
4.Chen, J., Hussain, F., Pei, J., She, Z.-S. (2014). Velocity-vorticity correlation structure in turbulent channel flow. J. Fluid Mech., 742, 291-307.
5.Pei, J., Chen, J., Fazle, H. and She, Z. (2013) New scaling for compressible wall turbulence. Sci. China Phys. Mech. 56, 1770–1781.
6.Chen, J., Shi, X.-T., Wang, T.-J. and She, Z.-S. (2013) Wavy structures in compressible mixing layers. Acta Mech. Sin. 29, 633–640.
7.Pei, J., Chen, J., She, Z.-S. and Hussain, F. (2012). Model for propagation speed in turbulent channel flows. Phys. Rev. E, 86(4), 046307.
8.Shi, X.-T., Chen, J., She, Z.-S. (2010). Visualization of compressibility effects on large-scale structures in compressible mixing layers. J. Vis., 13 273–274.
9.Wang, T.-J., Shi, X.-T., Chen J., She, Z.-S. (2010). Multi-scale structures in compressible turbulent mixing layers. Mod. Phys. Lett. B, 24(13), 1429–1432.
Keynote Speaker II
Dr. Jiafan ZHANG
Research team in China, Robotics and Discrete Automation, ABB
Speech Title: Industrial robots in new applications: chances and challenges
Industrial robots have been widely used in many industries, such as automotive, electronics, and so on, in the past decades. With the automatic and digital wave, there are increasing needs of industrial robots to be used in many new and higher demanded applications.
In this opening speech, after a brief looking-back of the industrial robots history and current status, recent development of the industrial robots are shared. The leveraging of edge-cutting technologies in sensing, machine learning, gripping enables the industrial robots for new high demanded applications. But it is not the end of the story. Further understanding and development are needed for the remaining challenges.
Bio: Dr. Jiafan Zhang received the B.S degree in mechanical engineering and automation from Shanghai Jiaotong University in 2003 and Ph.D degree in mechanical engineering and automation from Zhejiang University in 2009. After that, he joined ABB China Robotic R&D Center, with extensive experience in world-class product development. He is currently the research team manager with ABB Robotics and Discrete Automation. His main research interest includes fundamental and enabler technology for industrial robot design, reliability, and new applications.
Keynote Speaker Ⅲ
Professor Sondipon Adhikari
Swansea University, UK
Speech Title: to be updated
Abstract: to be updated
Bio: Prof Adhikari is the chair of Aerospace Engineering in the College of Engineering of Swansea University. He was a Wolfson Research Merit Award holder from the Royal Society. He received his PhD in 2001 from the University of Cambridge (in Trinity College). He was an Engineering and Physical Science Research Council (EPSRC) Advanced Research Fellow and winner of the Philip Leverhulme Prize (2007). He was a lecturer at the Bristol University and a Junior Research Fellow in Fitzwilliam College, Cambridge. He was a visiting Professor at the Rice University, University of Johannesburg, University of Paris (east), ECL Lyon and UT Austin and a visiting scientist at the Los Alamos National Laboratory.
His research areas are multidisciplinary in nature and include uncertainty quantification in dynamic systems, computational nanomechanics, dynamics of complex systems, inverse problems for linear and non-linear dynamics and vibration energy harvesting. He has published four books, more than 290 international journal papers and 180 conference papers in these areas (h-index 62). Professor Adhikari is a Fellow of the Royal Aeronautical Society, Associate Fellow of American Institute of Aeronautics and Astronautics (AIAA) and member of the AIAA Non-Deterministic Approaches Technical Committee (NDA-TC). He is a member of the editorial board of several journals such as: Advances in Aircraft and Spacecraft Science, Probabilistic Engineering Mechanics, Computer and Structures and Journal of Sound and Vibration.
More speakers info. will be released soon.