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.
Day & Time TBD
Simon Schneiderbauer
Department of Particulate Flow Modelling
Johannes Kepler University, Linz, Austria
Presentation Title: Length Scales, Energy Transfer and Energy Decay in Turbulent Gas-particle Flows: From Theory to Application
Abstract: In turbulent flows, the presence of solid particles significantly influences energy decay due to gas-particle momentum transfer (drag). In dilute gas-solid flows, particles tend to preferentially concentrate in regions of low vorticity within the surrounding fluid. Analysis of the turbulent energy spectrum reveals that particles enhance energy at smaller scales while reducing energy at larger scales. This behavior arises because particles do not perfectly follow the fluid motion at large scales and retain their energy longer at small scales compared to the surrounding fluid. This turbulence enhancement caused by particles is commonly referred to as pseudo-turbulence (PT), as its origin differs from the usual shear production mechanism. In the dilute limit, fluctuations in particle number density and velocity can, in principle, be interpreted as particle-phase turbulence; however, PT cannot exist without the fluid phase. The enhancement and reduction of turbulence at small and large scales, respectively, is also known in the literature as the pivoting effect.
Moderately dense turbulent fluid-particle flows, where particle-particle collisions are significant enough to justify a continuum description of the particle phase, have garnered increasing attention over the past decades. Under such conditions, particles behave similarly to a compressible fluid and can generate their own turbulence even in the absence of a surrounding fluid. This behavior contrasts with dilute flows and justifies the classification of these systems as multiphase turbulence. In moderately dense flows, the momentum coupling between the fluid and particle phases – such as drag forces – can introduce new sources of turbulence. For example, sustained fluctuations in the particle-phase volume fraction, such as particle clustering, can emerge. This necessitates a different theoretical treatment for moderately dense fluid-particle flows compared to the dilute limit.
In this talk, we provide a comprehensive overview of the theoretical framework for turbulent multiphase flows, with a particular focus on gas-particle systems. We emphasize key length scales, energy transfer mechanisms, and energy decay processes, as their proper understanding and modeling are essential for the efficient and accurate simulation of industrial gas-particle flows. Such simulations are critical for applications like fluidized beds, as well as for heat and mass transfer processes. Several examples highlight the importance of understanding turbulent multiphase flows at industrial scales. Finally, we outline the similarities between turbulent dispersed interfacial flows and turbulent gas-particle flows.
Biography: Simon Schneiderbauer is the deputy head of the Department of Particulate Flow Modelling at Johannes Kepler University (JKU) Linz. He earned his PhD in Engineering Sciences with distinction from JKU in 2010, where he dealt with the numerical modelling of snow drift in alpine environments. In 2011, he received the Erwin Wenzl Award for his outstanding doctoral thesis and began his role as a Senior Scientist at JKU. In 2015, he achieved his habilitation in Fluid Mechanics and Heat Transfer. From 2016 to 2023, he led the Christian-Doppler Laboratory for Multi-scale Modeling of Multiphase Processes with participation of major steel industry. Schneiderbauer's research focuses on the numerical and mathematical multi-scale modeling of multiphase flows, encompassing model development, experimental validation, practical applications and multiphase turbulence. Finally, Schneiderbauer (co)-authored more the 60 Journal publications in the field of multiphase flows, which cover basic therotical advancements to practical applications.