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Nanoparticle coagulation in a temporal mixing layer mean and size-selected images

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Direct numerical simulation of nanoparticle coagulation in a two-dimensional mixing layer is performed. A sectional model is used to discretize the particulate field resulting in a set of coupled non-linear partial differential equations each representing the concentration of particles of a particular size. The advantage of this approach is that it provides a robust mathematical framework for considering the particulate field as a function of space, time, and size with no apriori assumptions. The spatio-temporal evolution of the particulate field is visualized via the mean particle diameter and also in a size-specific manner.

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Authors and Affiliations

  1. Graduate Research Assistant, Department of Mechanical Engineering, University of Minnesota, 55455, Minneapolis, MN, USA

    Modem S.

  2. Department of Mechanical Engineering, University of Minnesota, 55455, Minneapolis, MN, USA

    Garrick S. C. (Assistant Professor)

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  1. Modem S.
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  2. Garrick S. C.
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Sean Garrick: He is the Nelson Assistant Professor of Mechanical Engineering at the University of Minnesota — Twin Cities. Professor Garrick obtained his Ph.D. in Mechanical Engineering at the State University of New York at Buffalo in 1998. His research interests include turbulent reacting flows, stochastic processes, aerosols, large eddy simulation, and heat transfer.

Sriswetha Modem: She is a Ph.D. candidate in the department of Mechanical Engineering at the University of Minnesota — Twin Cities. Ms. Modem received her M.S. degree in 2001 from the Department of Mechanical Engineering at the University of Minnesota — Twin Cities. Her research interests include computational fluid dynamics, reacting flows, mixing layers, and jets.

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Modem, S., Garrick, S.C. Nanoparticle coagulation in a temporal mixing layer mean and size-selected images. J Vis 6, 293–302 (2003). https://doi.org/10.1007/BF03181470

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  • DOI: https://doi.org/10.1007/BF03181470

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