Spray Combustion Research for the Engine Combustion Network

15 December 2017 - 1:00pm to 3:00pm
Ainswoth Building, Room 102

Dr. Lyle Pickett
Distinguished Member of Technical Staff, Combustion Research Facility, Sandia National Laboratories

–  All Welcome  –


Although automobiles were invented more than a hundred years ago, demands to lower fuel consumption and couple to electrified systems will cause massive change in vehicle design within the next ten years. Emerging technologies to improve the efficiency and emissions for the internal combustion engine include a shift to direct-injection sprays and engine optimization using CFD modeling, but a key shortcoming in the optimization process is predictive spray combustion modeling. Sandia has established a multi-institution collaboration called the Engine Combustion Network (ECN) to overcome this challenge. The ECN provides highly leveraged, vetted datasets for model development by utilizing contributions from many experimental and modeling participants at pre-selected operating conditions appropriate to engines. To date, >15 institutions have performed experiments and >30 different groups have offered CFD simulations at target diesel operating conditions. This presentation will provide an overview of what we have learned thus far, what diagnostic challenges exist at high pressure and temperature, and our plans for the future. 



Dr. Lyle Pickett has been employed at Sandia National Laboratories’ Combustion Research Facility, in Livermore, California since 2000, where he is a Distinguished Member of the Technical Staff. He earned a PhD from the University of Wisconsin-Madison and B.S. and M.S. degrees from Brigham Young University, all in mechanical engineering. His group at Sandia is recognized for state-of-the art research using optical engines and laser-based diagnostics of combustion. Pickett’s research expertise is in spray combustion in a unique chamber that produces engine-relevant conditions.




For more information, please contact A/Prof. Shawn Kook.


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