AAE Colloquium: Dr. Z. J. Wang
|Event Date:||March 27, 2014|
|Hosted By:||School of Aeronautics and Astronautics
High Order CFD in Future Aircraft Design
Z. J. Wang,Ph.D
Spahr Professor and Chair Department of Aerospace Engineering University of Kansas,
We begin with a look at the crystal ball to see what future aircraft may be like. Although performance and affordability are always important, environment impact will be another critical design criterion. Then the important role of CFD in aircraft design is described, and the need for high-order accuracy in CFD simulations is illustrated. After that the current status of high-order CFD methods will be discussed, followed by a presentation of several discontinuous high-order methods under development. All the methods possess the following properties: k-exactness on arbitrary grids, and compactness, which is especially important for parallel computing on clusters of CPUs and GPUs. To demonstrate the potential of these methods, the application of high-order methods to compute several real world flow problems will be presented. The talk will conclude with several remaining challenges in the research on high-order methods.
Z.J. Wang, Spahr Professor and Chair of Aerospace Engineering at the University of Kansas (KU), received his Ph.D. in Aerospace Engineering from the University of Glasgow in 1990. Then he conducted post-doctoral research in Glasgow and Oxford before joining CFD Research Corporation in Huntsville, Alabama in 1991 as a Research Engineer, and later becoming a Technical Fellow. In 2000, he joined the faculty of Michigan State University as an Associate Professor of Mechanical Engineering. In 2005 he returned to Aerospace Engineering at ISU. In 2012 he joined KU’s Aerospace Engineering Department. His research areas include adaptive high-order methods for the Navier-Stokes equations, algorithm and flow solver development for structured and unstructured, overset and adaptive Cartesian grids, computational aeroacoustics and electromagnetic, large eddy simulation of transitional and bio-inspired flow problems, high performance computing on CPU and GPU clusters, geometry modeling and grid generation. He is an Associate Editor of the AIAA Journal. He was awarded the degree of Doctor of Science in Engineering by the University of Glasgow in 2008.
Please see the Colloquium Announcement for more details.