Journal article
Doubly conditional moment closure modelling for HCCI with temperature inhomogeneities
F Salehi, M Talei, ER Hawkes, A Bhagatwala, JH Chen, CS Yoo, S Kook
Proceedings of the Combustion Institute | ELSEVIER SCIENCE INC | Published : 2017
Abstract
A doubly conditional moment closure (DCMC) with conditioning on normalized total enthalpy and its dissipation rate is presented as an a posteriori predictive modeling tool for ignition of mixtures ethanol and iso-octane with large thermal stratification in homogeneous charge compression ignition conditions. The potential of DCMC for modeling stratified ignitions was evaluated using a direct numerical simulation (DNS). Four two-dimensional DNS cases were selected to evaluate the DCMC model. The DNS cases modeled ignition of various mixtures with high levels of temperature inhomogeneities and with fuels with single-stage and two-stage ignition characteristics. Results showed that DCMC data was..
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Awarded by U.S. Department of Energy
Funding Acknowledgements
This work was supported by the Australian Research Council (ARC). The research benefited from computational resources provided through the National Computational Merit Allocation Scheme, supported by the Australian Government. The computational facilities supporting this project included the Australian NCI National Facility, the partner share of the NCI facility provided by Intersect Australia Pty Ltd., the Pawsey Supercomputing Centre and the UNSW Faculty of Engineering. The work at Sandia National Laboratories was supported by the Combustion Energy Frontier Research Center, an Energy Frontier Research Center funded by the US Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences under Award no. DE-SC0001198. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under contract DE-AC04-94AL85000. CSY was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (no. 2015R1A2A2A01007378).