Thursday, November 30, 2017
Dr. Meilin Yu
University of Maryland, Baltimore County
2:00 - 3:00pm
SEH, B1220
Abstract
In the field of computational fluid dynamics (CFD), the persistent pursuit of accurate and efficient simulation of increasingly complex flow problems has pushed traditional low-order (≤2) finite volume methods to challenging limits. High-order methods have been gaining popularity due to their great potential to achieve the desired engineering accuracy with lower computational cost compared with low-order methods. This is critical in many engineering fields such as bioinspired flows, turbulent flows, vortical flows over high-lift configurations, aeroacoustics, and non-hydrostatic atmospheric modeling.
In this talk, challenges in high-order CFD research will be introduced, and the recent effort in the speaker’s group on addressing these challenges will be presented, including novel CFD algorithm development for both compressible and incompressible flows, advanced continuation method for solving steady flow problems, and effective artificial viscosity design for shock capturing. Application of the high-order CFD methods in several challenging thermal fluids flow problems, ranging from incompressible to highly compressible regimes, and from steady to highly unsteady regimes, will then be demonstrated. New insights into flow physics underlying some interesting flow phenomena will be discussed.
Biography
Dr. Meilin Yu is an assistant professor from the department of mechanical engineering at the University of Maryland, Baltimore County (UMBC). He received his Ph.D. in Aerospace Engineering from Iowa State University in 2012. Before joining UMBC in 2014, he conducted post-doctoral research in the University of Kansas. His research areas include high-order CFD methods for the Navier-Stokes equations, uncertainty quantification of complex dynamical systems, high performance computing on heterogeneous architectures, and their applications in multidisciplinary engineering/science problems, such as bio-inspired aero-hydrodynamics, renewable energy harvesting, biological flow modeling, and nonhydrostatic mesoscale atmospheric modeling. Currently, the research in his group is funded by ONR, NSF, and the State of Maryland.