A priori analysis of a power-law sub-filter scale mixing model for transported PDF modeling of high Karlovitz turbulent premixed flames

Zhang, Pei; Xie, Tianfang; Kolla, Hemanth; Wang, Haiou; Hawkes, Evatt R.; Chen, Jacqueline H.; Wang, Haifeng

doi:10.1016/j.proci.2020.06.183

Title: A priori analysis of a power-law sub-filter scale mixing model for transported PDF modeling of high Karlovitz turbulent premixed flames

Journal Article · Thu Jul 23 00:00:00 EDT 2020 · Proceedings of the Combustion Institute

DOI:https://doi.org/10.1016/j.proci.2020.06.183· OSTI ID:1642113

Zhang, Pei ^[1]; Xie, Tianfang ^[2]; Kolla, Hemanth ^[3]; Wang, Haiou ^[4]; Hawkes, Evatt R. ^[5]; Chen, Jacqueline H. ^[3]; Wang, Haifeng ^[2]

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)

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.

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Research Organization:: Purdue Univ., West Lafayette, IN (United States)

Sponsoring Organization:: 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

Grant/Contract Number:: EE0008876; NA0003525; CBET-1336075

OSTI ID:: 1642113

Alternate ID(s):: OSTI ID: 1777028

Journal Information:: Proceedings of the Combustion Institute, Vol. 38, Issue 2; ISSN 1540-7489

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Title: A priori analysis of a power-law sub-filter scale mixing model for transported PDF modeling of high Karlovitz turbulent premixed flames

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