Track Keynotes are speakers that will be highlighted within a specific track. The speaker will be presenting for an extended time and occur during a regular break out technical session.
Day & Time TBD
Dr. Hui Hu
Anson Marston Distinguished Professorship in Engineering
Martin C. Jischke Professor in Aerospace Engineering and Director
Advanced Flow Diagnostics and Experimental Aerodynamics Laboratory
Iowa State University
Presentation Title: Development of Advanced Diagnostic Techniques for Complex Thermal Flow Studies
Biography: Dr. Hui Hu is an Anson Marston Distinguished Professorship in Engineering and Martin C. Jischke Professor in Aerospace Engineering at Iowa State University. His research interests include laser-based flow diagnostics, aircraft/aero-engine icing physics and anti-/de-icing; green aviation and electric propulsion; supersonic/hypersonic aerodynamics; renewable energy and wind turbine aeromechanics. He is an ASME Fellow and AIAA Associate Fellow and received several prestigious awards in recent years, including 2006 NSF-CAREER Award; 2007 Best Paper in Fluid Mechanics Award of IOP Publishing UK; 2009 AIAA Best Paper Award in Applied Aerodynamics; 2012 Mid-Career Achievement in Research Award of Iowa State University; 2013 AIAA Best Paper Award in Ground Testing Technology; 2014 Renewable Energy Impact Award of Iowa Energy Center; 2022 AIAA Best Paper Award on Gas Turbine Engine; and 2023 D.R. Boylan Eminent Faculty in Research Award of Iowa State University. Further information about Dr. Hu's education and technical background is available here.
Day & Time TBD
Dr. Junlin Yuan
Associate Professor, Mechanical Engineering
Michigan State University
Presentation Title: Simulation and Modeling of Non-canonical Turbulent Boundary Layers
Abstract: The bulk of wall turbulence research has focused disproportionately on canonical flows along smooth flat plates with uniform freestream conditions. However, in engineering and environmental applications, such as flow around hydraulic turbine blades, navy platforms, and in rivers, most flows are dynamically complex, affected by surface roughness, surface curvature, wall permeability, and unsteadiness, etc. The consequence is that existing descriptions and models of turbulence have limited utility to design practice. My goal is to build essential physics into models, to enable a consistent description for turbulence across a wide range of flow complexities. The talk will start with understanding and modeling for rough-walled, equilibrium or non-equilibrium turbulent boundary layers subjected to longitudinal pressure gradients. Using data from direct and large-eddy simulations (DNS and LES), I will show that wall roughness significantly modifies turbulence under strong spatial or temporal variations. Data and insights are used to inform roughness-unresolved turbulence closures, such as linear eddy-viscosity models, which have long-time challenges in accurately predicting non-canonical turbulent flows or those with arbitrary roughness. The second part of the talk is on using DNS to better understand important transport processes of water and solutes in riverine systems—natural turbulent flows bounded by rough, permeable walls. A knowledge gap exists on how dynamics at the sediment grain scale affect multiscale hydrologic and biogeochemical processes. I will show that sediment roughness—typically ignored in existing predictive approaches—is an important drive of transport in nature.
Biography: Dr. Junlin Yuan is an associate professor in the Department of Mechanical Engineering at Michigan State University. She obtained both an MS and PhD degree (2015) from Queen's University, Canada. She developed large-scale, high-fidelity numerical simulation methods of complex turbulent shear flows. Her research goal is to push the boundaries of physical understandings of complex, realistic turbulence, and to develop physics-based data-driven models for a wide range of applications. Topics include non-equilibrium turbulence, wall roughness, wall permeability, turbulence-induced noise, and fluid-structure interaction. Applications cover engineering, environmental, and bio-locomotive topics. Her research has been funded by ONR, NSF, and the industry.