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Research in the area of computational fluid dynamics encompasses physical, analytical, and numerical modeling of chemically reacting complex flows. My research group formulates mathematical models which represent or approximate processes of scientific and engineering interest in the area of turbulent reacting flows. These models are then discretized and solved numerically using high-performance supercomputers. While the governing equations for processes like turbulent combustion are well known, their solutions are not easily obtained. For example, obtaining the “exact” flow velocities and chemical species concentration in a relatively simple configuration such as a bunsen burner, found in every high-school chemistry classroom, requires several days run-time on a computer utilizing hundreds of computer processors. More complex flows – those typically found in engineering applications – are simply impossible to simulate directly and thus only approximate solutions are possible. The alternative to analytical and numerical investigation is experimental analysis. However, experimental means are often unable to adequately describe highly-dynamic processes such as combustion and nanoparticle formation and growth, amongst others. Efforts are currently focused on two areas: the modeling and simulation of turbulent reacting flows, and the modeling and simulation of nanoparticle dynamics/ synthesis (formation and growth) in turbulent flows. In these endeavors, the goal is two-fold: (1) To utilize the latest mathematical and numerical tools to investigate the underlying physico-chemical processes and (2) to develop models which accurately represents the phenomena in a computationally affordable manner.
Publications
Personal Web Page
Computational Transport Phenomena Research
Center for NanoEnergetics Research
NSF Graduate Traineeship Program for Nanoparticle Science and Engineering at the University of Minnesota
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