A mixing timescale model for TPDF simulations of turbulent premixed flames

Journal Article · Mon Feb 06 00:00:00 EST 2017 · Combustion and Flame

DOI:https://doi.org/10.1016/j.combustflame.2016.12.011· OSTI ID:1346569

Kuron, Michael ^[1]; Ren, Zhuyin ^[2]; Hawkes, Evatt R. ^[3]; Zhou, Hua ^[2]; Kolla, Hemanth ^[4]; Chen, Jacqueline H. ^[4]; Lu, Tianfeng ^[1]

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1. Univ. of Connecticut, Storrs, CT (United States). Dept. of Mechanical Engineering
2. Tsinghua Univ., Beijing (China). Center for Combustion Energy. School of Aerospace Engineering
3. The Univ. of New South Wales, Sydney, NSW (Australia). School of Photovoltaic and Renewable Energy Engineering
4. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Combustion Research Facility

Transported probability density function (TPDF) methods are an attractive modeling approach for turbulent flames as chemical reactions appear in closed form. However, molecular micro-mixing needs to be modeled and this modeling is considered a primary challenge for TPDF methods. In the present study, a new algebraic mixing rate model for TPDF simulations of turbulent premixed flames is proposed, which is a key ingredient in commonly used molecular mixing models. The new model aims to properly account for the transition in reactive scalar mixing rate behavior from the limit of turbulence-dominated mixing to molecular mixing behavior in flamelets. An a priori assessment of the new model is performed using direct numerical simulation (DNS) data of a lean premixed hydrogen–air jet flame. The new model accurately captures the mixing timescale behavior in the DNS and is found to be a significant improvement over the commonly used constant mechanical-to-scalar mixing timescale ratio model. An a posteriori TPDF study is then performed using the same DNS data as a numerical test bed. The DNS provides the initial conditions and time-varying input quantities, including the mean velocity, turbulent diffusion coefficient, and modeled scalar mixing rate for the TPDF simulations, thus allowing an exclusive focus on the mixing model. Here, the new mixing timescale model is compared with the constant mechanical-to-scalar mixing timescale ratio coupled with the Euclidean Minimum Spanning Tree (EMST) mixing model, as well as a laminar flamelet closure. It is found that the laminar flamelet closure is unable to properly capture the mixing behavior in the thin reaction zones regime while the constant mechanical-to-scalar mixing timescale model under-predicts the flame speed. Furthermore, the EMST model coupled with the new mixing timescale model provides the best prediction of the flame structure and flame propagation among the models tested, as the dynamics of reactive scalar mixing across different flame regimes are appropriately accounted for.

• Research Organization: Sandia National Lab. (SNL-CA), Livermore, CA (United States); The Univ. of New South Wales, Sydney, NSW (Australia); Tsinghua Univ., Beijing (China); Univ. of Connecticut, Storrs, CT (United States)
• Sponsoring Organization: Australian Research Council (Australia); National Natural Science Foundation of China (NSFC); USDOE; USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
• Grant/Contract Number: AC04-94AL85000; SC0008622
• OSTI ID: 1346569
• Alternate ID(s): OSTI ID: 1372306; OSTI ID: 1396723
• Report Number(s): SAND--2016-12325J; SAND--2017-7036J; PII: S0010218016303741
• Journal Information: Combustion and Flame, Journal Name: Combustion and Flame Vol. 177; ISSN 0010-2180
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Euclidean minimum spanning tree
direct numerical simulation
mixing timescale models
transported probability density function
turbulent premixed flames