A priori analysis of a power-law sub-filter scale mixing model for transported PDF modeling of high Karlovitz turbulent premixed flames
Abstract
Accurate modeling of mixing in large-eddy simulation (LES) / transported probability density function (PDF) modeling of turbulent combustion remains an outstanding issue. The issue is particularly salient in turbulent premixed combustion under extreme conditions such as high-Karlovitz number Ka. Here, the present study addresses this issue by conducting an a priori analysis of a power-law scaling based mixing timescale model for the transported PDF model. A recently produced DNS dataset of a high-Ka turbulent jet flame is used for the analysis. A power-law scaling is observed for a scaling factor used to model the sub-filter scale mixing timescale in this high-Ka turbulent premixed DNS flame when the LES filter size is much greater than the characteristic thermal thickness of a laminar premixed flame. The sensitivity of the observed power-law scaling to the different viewpoints (local or global) and to the different scalars for the data analysis is examined and the dependence of the model parameters on the dimensionless numbers Ka and Re (the Reynolds number) is investigated. Different model formulations for the mixing timescale are then constructed and assessed in the DNS flame. The proposed model is found to be able to reproduce the mixing timescale informed by the high-Kamore »
- Authors:
-
- Purdue Univ., West Lafayette, IN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Purdue Univ., West Lafayette, IN (United States)
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Zhejiang Univ., Hangzhou (China)
- Univ. of New South Wales, Sydney, NSW (Australia)
- 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); USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division; USDOE
- OSTI Identifier:
- 1642113
- Alternate Identifier(s):
- OSTI ID: 1777028
- Grant/Contract Number:
- EE0008876; NA0003525; CBET-1336075
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Proceedings of the Combustion Institute
- Additional Journal Information:
- Journal Volume: 38; Journal Issue: 2; Journal ID: ISSN 1540-7489
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; Power-law scaling; mixing timescale; transported PDF method; high Karlovitz number DNS flame; turbulent premixed combustion
Citation Formats
Zhang, Pei, Xie, Tianfang, Kolla, Hemanth, Wang, Haiou, Hawkes, Evatt R., Chen, Jacqueline H., and Wang, Haifeng. A priori analysis of a power-law sub-filter scale mixing model for transported PDF modeling of high Karlovitz turbulent premixed flames. United States: N. p., 2020.
Web. doi:10.1016/j.proci.2020.06.183.
Zhang, Pei, Xie, Tianfang, Kolla, Hemanth, Wang, Haiou, Hawkes, Evatt R., Chen, Jacqueline H., & Wang, Haifeng. A priori analysis of a power-law sub-filter scale mixing model for transported PDF modeling of high Karlovitz turbulent premixed flames. United States. https://doi.org/10.1016/j.proci.2020.06.183
Zhang, Pei, Xie, Tianfang, Kolla, Hemanth, Wang, Haiou, Hawkes, Evatt R., Chen, Jacqueline H., and Wang, Haifeng. Thu .
"A priori analysis of a power-law sub-filter scale mixing model for transported PDF modeling of high Karlovitz turbulent premixed flames". United States. https://doi.org/10.1016/j.proci.2020.06.183. https://www.osti.gov/servlets/purl/1642113.
@article{osti_1642113,
title = {A priori analysis of a power-law sub-filter scale mixing model for transported PDF modeling of high Karlovitz turbulent premixed flames},
author = {Zhang, Pei and Xie, Tianfang and Kolla, Hemanth and Wang, Haiou and Hawkes, Evatt R. and Chen, Jacqueline H. and Wang, Haifeng},
abstractNote = {Accurate modeling of mixing in large-eddy simulation (LES) / transported probability density function (PDF) modeling of turbulent combustion remains an outstanding issue. The issue is particularly salient in turbulent premixed combustion under extreme conditions such as high-Karlovitz number Ka. Here, the present study addresses this issue by conducting an a priori analysis of a power-law scaling based mixing timescale model for the transported PDF model. A recently produced DNS dataset of a high-Ka turbulent jet flame is used for the analysis. A power-law scaling is observed for a scaling factor used to model the sub-filter scale mixing timescale in this high-Ka turbulent premixed DNS flame when the LES filter size is much greater than the characteristic thermal thickness of a laminar premixed flame. The sensitivity of the observed power-law scaling to the different viewpoints (local or global) and to the different scalars for the data analysis is examined and the dependence of the model parameters on the dimensionless numbers Ka and Re (the Reynolds number) is investigated. Different model formulations for the mixing timescale are then constructed and assessed in the DNS flame. The proposed model is found to be able to reproduce the mixing timescale informed by the high-Ka DNS flame significantly better than a previous model.},
doi = {10.1016/j.proci.2020.06.183},
journal = {Proceedings of the Combustion Institute},
number = 2,
volume = 38,
place = {United States},
year = {Thu Jul 23 00:00:00 EDT 2020},
month = {Thu Jul 23 00:00:00 EDT 2020}
}
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