Fuel-Air Mixing In A Turbulent Coannular Pipe Flow Measured Using Laser Absorption With Genetic Algorithm-Based Tomographic Reconstruction And Modeled With LES

J. W. Girard; J. -Y. Chen; R. W. Dibble; J. Janicka; R. Homma

doi:10.18321/ectj176

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Fuel-Air Mixing In A Turbulent Coannular Pipe Flow Measured Using Laser Absorption With Genetic Algorithm-Based Tomographic Reconstruction And Modeled With LES

Journal article

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Fuel-Air Mixing In A Turbulent Coannular Pipe Flow Measured Using Laser Absorption With Genetic Algorithm-Based Tomographic Reconstruction And Modeled With LES

J. W. Girard, J. -Y. Chen, R. W. Dibble, J. Janicka and R. Homma

Eurasian chemico-technological journal, Vol.16(2-3), pp.117-128

01/09/2014

DOI: https://doi.org/10.18321/ectj176

Abstract

Chemistry

Chemistry, Multidisciplinary

Physical Sciences

Science & Technology

This research aims at improving the knowledge base of fuel-air mixing through measurements and modeling. The measurements are from an improved tomographic reconstruction method that is relatively easy to accomplish. A novel aspect of this research is the use of tomography for generating the RMS of fuel concentration. Measurements of fuel concentration for a mixing field were tomographically reconstructed from time resolved line of sight laser absorption measurements. The modeling is done using large eddy simulations (LES). LES predictions were compared to measurements of the mean and RMS of fuel concentration. The LES model predicted time-averaged radial fuel concentration profiles to within 5%, and overpredicted the RMS of fuel concentration slightly, predicting the trends correctly.

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Title: Fuel-Air Mixing In A Turbulent Coannular Pipe Flow Measured Using Laser Absorption With Genetic Algorithm-Based Tomographic Reconstruction And Modeled With LES
Creators - without role: J. W. Girard - University of California, Berkeley
J. -Y. Chen - University of California, Berkeley
R. W. Dibble - University of California, Berkeley
J. Janicka - Technical University of Darmstadt
R. Homma - Tokyo Gas
Publication Details: Eurasian chemico-technological journal, Vol.16(2-3), pp.117-128
Publisher: Inst Higher Education Acad Sci
Number of pages: 12
Grant note: Department of Energy's Advanced Gas Turbine Systems Research Program
Identifiers: 9942458508331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article