Actions for Computational Flame Diagnostics for Direct Numerical Simulations with Detailed Chemistry of Transportation Fuels [electronic resource].

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Computational Flame Diagnostics for Direct Numerical Simulations with Detailed Chemistry of Transportation Fuels [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy. Office of Basic Energy Sciences, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description
11 pages : digital, PDF file
Additional Creators
United States. Department of Energy. Office of Basic Energy Sciences and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
The goal of the proposed research is to create computational flame diagnostics (CFLD) that are rigorous numerical algorithms for systematic detection of critical flame features, such as ignition, extinction, and premixed and non-premixed flamelets, and to understand the underlying physicochemical processes controlling limit flame phenomena, flame stabilization, turbulence-chemistry interactions and pollutant emissions etc. The goal has been accomplished through an integrated effort on mechanism reduction, direct numerical simulations (DNS) of flames at engine conditions and a variety of turbulent flames with transport fuels, computational diagnostics, turbulence modeling, and DNS data mining and data reduction. The computational diagnostics are primarily based on the chemical explosive mode analysis (CEMA) and a recently developed bifurcation analysis using datasets from first-principle simulations of 0-D reactors, 1-D laminar flames, and 2-D and 3-D DNS (collaboration with J.H. Chen and S. Som at Argonne, and C.S. Yoo at UNIST). Non-stiff reduced mechanisms for transportation fuels amenable for 3-D DNS are developed through graph-based methods and timescale analysis. The flame structures, stabilization mechanisms, local ignition and extinction etc., and the rate controlling chemical processes are unambiguously identified through CFLD. CEMA is further employed to segment complex turbulent flames based on the critical flame features, such as premixed reaction fronts, and to enable zone-adaptive turbulent combustion modeling.
Report Numbers
E 1.99:doe-uconn--16345-1
doe-uconn--16345-1
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
02/16/2017.
"doe-uconn--16345-1"
Tianfeng Lu.
Univ. of Connecticut, Storrs, CT (United States)
Type of Report and Period Covered Note
Final;
Funding Information
SC0008622
View MARC record | catkey: 23768586