Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame
Temperature distribution is predicted through numerical simulation of a turbulent non-premixed methane flame using the standard Eddy Dissipation Model (EDM) and a model based a presumed shape of probability density function (PDF) along with an equilibrium chemistry model. Results are validated again...
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Format: | Book Section |
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American Institute of Physics
2012
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author | Rohani, Behzad Abdul Wahid, Mazlan Mohd. Sies, Mohsin Saqr, Khalid M. |
author_facet | Rohani, Behzad Abdul Wahid, Mazlan Mohd. Sies, Mohsin Saqr, Khalid M. |
author_sort | Rohani, Behzad |
collection | ePrints |
description | Temperature distribution is predicted through numerical simulation of a turbulent non-premixed methane flame using the standard Eddy Dissipation Model (EDM) and a model based a presumed shape of probability density function (PDF) along with an equilibrium chemistry model. Results are validated against existing experimental data. Two models are compared to each other in terms of accuracy and their advantages and disadvantages are discussed. |
first_indexed | 2024-03-05T18:56:45Z |
format | Book Section |
id | utm.eprints-34552 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T18:56:45Z |
publishDate | 2012 |
publisher | American Institute of Physics |
record_format | dspace |
spelling | utm.eprints-345522017-10-01T05:50:32Z http://eprints.utm.my/34552/ Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame Rohani, Behzad Abdul Wahid, Mazlan Mohd. Sies, Mohsin Saqr, Khalid M. TJ Mechanical engineering and machinery Temperature distribution is predicted through numerical simulation of a turbulent non-premixed methane flame using the standard Eddy Dissipation Model (EDM) and a model based a presumed shape of probability density function (PDF) along with an equilibrium chemistry model. Results are validated against existing experimental data. Two models are compared to each other in terms of accuracy and their advantages and disadvantages are discussed. American Institute of Physics 2012 Book Section PeerReviewed Rohani, Behzad and Abdul Wahid, Mazlan and Mohd. Sies, Mohsin and Saqr, Khalid M. (2012) Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame. In: 4th International Meeting of Advances in Thermofluids, IMAT 2011. American Institute of Physics, Maryland, New York, pp. 384-391. ISBN 978-073541032-9 http://dx.doi.org/10.1063/1.4704240 DOI:10.1063/1.4704240 |
spellingShingle | TJ Mechanical engineering and machinery Rohani, Behzad Abdul Wahid, Mazlan Mohd. Sies, Mohsin Saqr, Khalid M. Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame |
title | Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame
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title_full | Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame
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title_fullStr | Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame
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title_full_unstemmed | Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame
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title_short | Comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non-premixed turbulent methane flame
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title_sort | comparison of eddy dissipation model and presumed probability density function model for temperature prediction in a non premixed turbulent methane flame |
topic | TJ Mechanical engineering and machinery |
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