Mechanical Engineering Seminar Series: Phenomena Supporting a Simplified Approach to Real-Fuel Combustion Kinetics

Abstract

Real fuels usually contain thousands of hydrocarbon components, each of which may play a role during combustion. The relatively small sensitivity of combustion to fuel composition, however, suggests that nature offers some form of simplification for this otherwise complex kinetic problem. Here, we will discuss the reason behind the chemical insensitivity. From this consideration, we propose a hybrid chemistry (HyChem) approach to modeling high-temperature oxidation of real fuels. Sample results will be given to demonstrate the accuracy and effectiveness of this modeling approach.

Biography

Hai Wang is professor of mechanical engineering at Stanford University. Prior to his appointment at Stanford, he was the Northrop Chair in Engineering and professor of aerospace and mechanical engineering at USC. He received his Ph.D. in fuel science from Penn State in 1992. He was a professional research staff member at Princeton University from 1994 to 1996 before starting his faculty career at the University of Delaware. He is best known for his work on the mechanism of soot formation in combustion and development of chemical kinetic models for fuel combustion. He has made contributions in the application of ab initio quantum chemistry and reaction rate theory in chemical kinetics. He developed stochastic methods for detailed combustion modeling and uncertainty quantification. He contributed to the transport theory of nanoparticles and large molecules, atmospheric heterogeneous chemistry, nanocatalysis, and nanomaterials synthesis, characterization and applications. He is the recipient of the NSF CAREER award in 1999, two distinguished paper awards, in 2009 and 2015, from the Thirty-First and Thirty-Fifth International Symposia on Combustion, and a Senior Research Award from the Viterbi School of Engineering at USC in 2011. He currently serves as the editor-in-chief of Progress in Energy and Combustion Science.

 

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