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Eulerian-Lagranigan simulation of aerosol evolution in turbulent mixing layer

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Abstract

The formation and evolution of aerosol in turbulent flows are ubiquitous in both industrial processes and nature. The intricate interaction of turbulent mixing and aerosol evolution in a canonical turbulent mixing layer was investigated by a direct numerical simulation (DNS) in a recent study (Zhou, K., Attili, A., Alshaarawi, A., and Bisetti, F. Simulation of aerosol nucleation and growth in a turbulent mixing layer. Physics of Fluids, 26, 065106 (2014)). In this work, Monte Carlo (MC) simulation of aerosol evolution is carried out along Lagrangian trajectories obtained in the previous simulation, in order to quantify the error of the moment method used in the previous simulation. Moreover, the particle size distribution (PSD), not available in the previous works, is also investigated. Along a fluid parcel moving through the turbulent flow, temperature and vapor concentration exhibit complex fluctuations, triggering complicate aerosol processes and rendering complex PSD. However, the mean PSD is found to be bi-modal in most of the mixing layer except that a tri-modal distribution is found in the turbulent transition region. The simulated PSDs agree with the experiment observations available in the literature. A different explanation on the formation of such PSDs is provided.

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Authors and Affiliations

  1. The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan, 430081, China

    Kun Zhou, Xiao Jiang, Ke Sun & Zhu He

  2. Clean Combustion Research Center, King Abdullah University of Science and Technology, Thuwal, 23955, Kingdom of Saudi Arabia

    Kun Zhou

Authors
  1. Kun Zhou
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  2. Xiao Jiang
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  3. Ke Sun
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  4. Zhu He
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Correspondence to Kun Zhou.

Additional information

Project supported by the National Natural Science Foundation of China (Nos. 11402179 and 11572274)

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Zhou, K., Jiang, X., Sun, K. et al. Eulerian-Lagranigan simulation of aerosol evolution in turbulent mixing layer. Appl. Math. Mech.-Engl. Ed. 37, 1305–1314 (2016). https://doi.org/10.1007/s10483-016-2134-9

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  • DOI: https://doi.org/10.1007/s10483-016-2134-9

Keywords

Chinese Library Classification

2010 Mathematics Subject Classification

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