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Title: Examination of probability distribution of mixture fraction in LES/FDF modelling of a turbulent partially premixed jet flame

Abstract

An accurate prediction of the probability density function (PDF) of the mixture fraction is crucial to the prediction of combustion since mixing plays an important role in turbulent non-premixed and partially premixed flames. This work provides an assessment of the large-eddy simulation (LES)/filtered density function (FDF) method for the prediction of the PDF of the mixture fraction. The advantage of the LES/FDF method is that it provides the full predictions of the statistical distribution of scalars including the mixture fraction. The predictive accuracy of the method for the PDF is yet to be fully validated. Assessing the prediction of the PDF of the mixture fraction, a conserved scalar, is an important starting point. The Sydney/Sandia inhomogeneous inlet jet flame is used as a test case. A quick comparison shows that the LES/FDF predicted PDF shapes of the mixture fraction deviate significantly from the commonly presumed Beta-PDF as well as from the experimental data in the flame. Here, to examine the source of the discrepancy, we clarify the different PDF definitions used in the comparison among the predictions, measurements, and the presumed shape PDFs. The discrepancy observed from the comparison is largely reconciled by clarifying the difference between the PDFs thatmore » are examined. The PDF of the resolved mixture fraction is shown to be close to the Beta-PDF in both the measurements and predictions, while the PDF directly deduced from the LES/FDF particles deviates significantly from the Beta-PDF. A multimodal PDF analysis and a pseudo convergence analysis are conducted to provide plausible evidence to support the predicted multimodal PDF shapes. The sub-filter scale FDF is shown to be close to the Beta-PDF too through the construction of a synthesized PDF, which supports the common presumed Beta-PDF assumption used in the presumed PDF methods when combined with LES.« less

Authors:
ORCiD logo [1];  [1];  [1]
  1. Purdue Univ., West Lafayette, IN (United States)
Publication Date:
Research Org.:
Purdue Univ., West Lafayette, IN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office; National Science Foundation (NSF)
OSTI Identifier:
1841533
Grant/Contract Number:  
EE0008876; CBET-1336075
Resource Type:
Accepted Manuscript
Journal Name:
Combustion Theory and Modelling
Additional Journal Information:
Journal Volume: 26; Journal Issue: 2; Journal ID: ISSN 1364-7830
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; LES; transported FDF; mixture fraction; PDF; partially premixed flames

Citation Formats

Wang, Haifeng, Zhang, Pei, and Tao, Jie. Examination of probability distribution of mixture fraction in LES/FDF modelling of a turbulent partially premixed jet flame. United States: N. p., 2021. Web. doi:10.1080/13647830.2021.2016980.
Wang, Haifeng, Zhang, Pei, & Tao, Jie. Examination of probability distribution of mixture fraction in LES/FDF modelling of a turbulent partially premixed jet flame. United States. https://doi.org/10.1080/13647830.2021.2016980
Wang, Haifeng, Zhang, Pei, and Tao, Jie. Thu . "Examination of probability distribution of mixture fraction in LES/FDF modelling of a turbulent partially premixed jet flame". United States. https://doi.org/10.1080/13647830.2021.2016980. https://www.osti.gov/servlets/purl/1841533.
@article{osti_1841533,
title = {Examination of probability distribution of mixture fraction in LES/FDF modelling of a turbulent partially premixed jet flame},
author = {Wang, Haifeng and Zhang, Pei and Tao, Jie},
abstractNote = {An accurate prediction of the probability density function (PDF) of the mixture fraction is crucial to the prediction of combustion since mixing plays an important role in turbulent non-premixed and partially premixed flames. This work provides an assessment of the large-eddy simulation (LES)/filtered density function (FDF) method for the prediction of the PDF of the mixture fraction. The advantage of the LES/FDF method is that it provides the full predictions of the statistical distribution of scalars including the mixture fraction. The predictive accuracy of the method for the PDF is yet to be fully validated. Assessing the prediction of the PDF of the mixture fraction, a conserved scalar, is an important starting point. The Sydney/Sandia inhomogeneous inlet jet flame is used as a test case. A quick comparison shows that the LES/FDF predicted PDF shapes of the mixture fraction deviate significantly from the commonly presumed Beta-PDF as well as from the experimental data in the flame. Here, to examine the source of the discrepancy, we clarify the different PDF definitions used in the comparison among the predictions, measurements, and the presumed shape PDFs. The discrepancy observed from the comparison is largely reconciled by clarifying the difference between the PDFs that are examined. The PDF of the resolved mixture fraction is shown to be close to the Beta-PDF in both the measurements and predictions, while the PDF directly deduced from the LES/FDF particles deviates significantly from the Beta-PDF. A multimodal PDF analysis and a pseudo convergence analysis are conducted to provide plausible evidence to support the predicted multimodal PDF shapes. The sub-filter scale FDF is shown to be close to the Beta-PDF too through the construction of a synthesized PDF, which supports the common presumed Beta-PDF assumption used in the presumed PDF methods when combined with LES.},
doi = {10.1080/13647830.2021.2016980},
journal = {Combustion Theory and Modelling},
number = 2,
volume = 26,
place = {United States},
year = {Thu Dec 16 00:00:00 EST 2021},
month = {Thu Dec 16 00:00:00 EST 2021}
}

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