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arXiv 1702.07516physics.flu-dyn
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非球形颗粒在turbulence中沉降取向的统计模型

Statistical model for the orientation of non-spherical particles settling in turbulence

K. Gustavsson, J. Jucha, A. Naso, E. Lévêque, A. Pumir, B. Mehlig

摘要:

小的各向异性颗粒在湍流流体中沉降的方向决定了悬浮液的一些基本性质。我们发现,通过湍流沉降的小重球体的取向分布可以准确地预测一个简单的高斯统计模型,考虑到粒子的惯性,并提供了一个定量的理解时,流体惯性可以忽略不计的问题参数的取向分布。我们的研究结果开辟了一条道路的冰晶在云中的分布参数化,并可能导致辐射反射,或粒子聚集通过碰撞在云中的更好的理解。

英文摘要:

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 parameterisation of the distribution of ice-crystals in clouds, and potentially leads to an improved understanding of radiation reflection, or particle aggregation through collisions in clouds.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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