Numerical Modeling of Turbulent Jet Diffusion Flames Challenges and Implications for Flare Flame Simulations

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Title Numerical Modeling of Turbulent Jet Diffusion Flames Challenges and Implications for Flare Flame Simulations
Creator Bish, Eric S.; Norton, Thomas S.
Publisher Digitized by J. Willard Marriott Library, University of Utah
Date 1998
Spatial Coverage presented at Maui, Hawaii
Abstract Flare systems play an important role in the petrochemical, chemical processing, mining and waste handling industries. These systems need to perform satisfactorily under a wide range of operating conditions. Computational Fluid Dynamics (CFD) can be a powerful tool in conjunction with experimental testing in evaluating flare system performance to ensure reliability and safety. Utilizing CFD fully in the design of flare systems requires an understanding of the relevant physics as well as the current modeling tools available. To gain further insight into the numerical modeling of flare flames, CFD results using the standard k-e, realizable k-e and Reynolds stress turbulence models in FLUENT V5 were compared with experimental measurements in a buoyant, turbulent jet diffusion flame. Over the range of data available, all models perform comparably. Good agreement is seen for mean profiles of velocity, mixture fraction and temperature. Experimental data and simulation results compare well with established scaling laws for jet spreading rate and centerline momentum flux density. Based on these results, the realizable k-e model provides the most accurate, cost-effective solution for turbulence modeling in flare flames. Further investigation of these models in the buoyancy dominated, plume regime is suggested.
Type Text
Format application/pdf
Language eng
Rights This material may be protected by copyright. Permission required for use in any form. For further information please contact the American Flame Research Committee.
Conversion Specifications Original scanned with Canon EOS-1Ds Mark II, 16.7 megapixel digital camera and saved as 400 ppi uncompressed TIFF, 16 bit depth.
Scanning Technician Cliodhna Davis
ARK ark:/87278/s68g8p95
Setname uu_afrc
ID 13671
Reference URL https://collections.lib.utah.edu/ark:/87278/s68g8p95
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