An efficient approach for predicting radiative transfer in high temperature multicomponent gas mixtures with soot particles is presented. The method draws on the previously published multiplication approach for handling gas mixtures in the spectral line weighted-sum-of-gray-gases (SLW) model. In this method, the gas mixture is treated as a single gas whose absorption blackbody distribution function is calculated through the distribution functions of the individual species in the mixture. The soot is, in effect, treated as another gas in the mixture. Validation of the method is performed by comparison with line-by-line solutions for radiative transfer with mixtures of water vapor, carbon dioxide, and carbon monoxide with a range of soot loadings (volume fractions). Comparison is performed also with previously published statistical narrow band and classical weighted-sum-of-gray-gases solutions.
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An Efficient Method for Modeling Radiative Transfer in Multicomponent Gas Mixtures With Soot
Vladimir P. Solovjov,
Vladimir P. Solovjov
Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602
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Brent W. Webb
Brent W. Webb
Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602
Search for other works by this author on:
Vladimir P. Solovjov
Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602
Brent W. Webb
Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602
Contributed by the Heat Transfer Division for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received by the Heat Transfer Division September 28, 1999; revision received November 3, 2000. Associate Editor: M. P. Mengu¨c¸.
J. Heat Transfer. Jun 2001, 123(3): 450-457 (8 pages)
Published Online: November 3, 2000
Article history
Received:
September 28, 1999
Revised:
November 3, 2000
Citation
Solovjov , V. P., and Webb, B. W. (November 3, 2000). "An Efficient Method for Modeling Radiative Transfer in Multicomponent Gas Mixtures With Soot ." ASME. J. Heat Transfer. June 2001; 123(3): 450–457. https://doi.org/10.1115/1.1350824
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