Statistical Model for the Orientation of Nonspherical Particles Settling in Turbulence

Physical Review Letters
K GustavssonB Mehlig

Abstract

The orientation of small anisotropic particles settling in a turbulent fluid determines some essential properties of the suspension. We show that the orientation distribution of small heavy spheroids settling through turbulence can be accurately predicted by a simple Gaussian statistical model that takes into account particle inertia and provides a quantitative understanding of the orientation distribution on the problem parameters when fluid inertia is negligible. Our results open the way to a parametrization of the distribution of ice crystals in clouds, and potentially lead to an improved understanding of radiation reflection or particle aggregation through collisions in clouds.

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Oct 4, 2012·Physical Review Letters·Shima ParsaGreg A Voth
Jul 16, 2013·Nature Communications·William M DurhamRoman Stocker
Feb 4, 2014·Physical Review Letters·K GustavssonB Mehlig
May 27, 2014·Physical Review Letters·Jérémie BecSamriddhi Sankar Ray
Jul 16, 2014·Proceedings of the National Academy of Sciences of the United States of America·Jörg SchumacherKatepalli R Sreenivasan
Oct 3, 2015·Physical Review Letters·Varghese MathaiDetlef Lohse
Dec 27, 2015·Physical Review Letters·Lihao ZhaoEvan A Variano
Jul 26, 2016·Physical Review Letters·Varghese MathaiDetlef Lohse
Nov 26, 2016·Physical Review Letters·F CandelierB Mehlig

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Citations

Sep 20, 2019·Proceedings. Mathematical, Physical, and Engineering Sciences·Subhasish DeyEllora Padhi
Aug 4, 2020·Physical Review Letters·Prateek AnandGanesh Subramanian
Sep 27, 2018·Physical Review. E·Amal RoySamriddhi Sankar Ray
Oct 9, 2018·Physical Review Letters·S BounouaG Verhille

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