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We study the settling of rigid oblates in quiescent fluid using interface-resolved Direct Numerical Simulations. In particular, an immersed boundary method is used to account for the dispersed solid phase together with lubrication…

流体动力学 · 物理学 2018-08-01 Walter Fornari , Mehdi Niazi Ardekani , Luca Brandt

We have performed particle-resolved direct numerical simulations of many heavy non-spherical particles settling under gravity in the dilute regime. The particles are oblate spheroids of aspect ratio 1.5 and density ratio 1.5. Two Galileo…

流体动力学 · 物理学 2023-05-24 Manuel Moriche , Daniel Hettmann , Manuel García-Villalba , Markus Uhlmann

Direct numerical simulation of the gravity-induced settling of finite-size particles in triply-periodic domains has been performed under dilute conditions. For a single solid-to-fluid density ratio of 1.5 we have considered two values of…

流体动力学 · 物理学 2014-09-02 Markus Uhlmann , Todor Doychev

The settling of heavy spherical particles in a column of quiescent fluid is investigated. The performed experiments cover a range of Galileo numbers ($110 \leq \text{Ga} \leq 310$) for a fixed density ratio of $\Gamma = \rho_p/\rho_f =…

Here we report experiments on particle cluster settling at high Reynolds number in quiescent fluid contained in a vessel. The particles were observed to settle in a near-circular shape irrespective of the shape of the vessel cross-section…

流体动力学 · 物理学 2020-03-09 Sayan Pal , Amol A. Kulkarni

Sedimentation of a dispersed solid phase is widely encountered in applications and environmental flows, yet little is known about the behavior of finite-size particles in homogeneous isotropic turbulence. To fill this gap, we perform Direct…

流体动力学 · 物理学 2016-04-20 Walter Fornari , Francesco Picano , Luca Brandt

The gravity-driven motion of rigid particles in a viscous fluid is relevant in many natural and industrial processes, yet this has mainly been investigated for spherical particles. We therefore consider the sedimentation of non-spherical…

流体动力学 · 物理学 2021-02-23 Mehdi Niazi Ardekani , Pedro Costa , Wim-Paul Breugem , Luca Brandt

Ice crystals settling through a turbulent cloud are rotated by turbulent velocity gradients. In the same way, turbulence affects the orientation of aggregates of organic matter settling in the ocean. In fact most solid particles encountered…

流体动力学 · 物理学 2021-02-04 K. Gustavsson , M. Z. Sheikh , D. Lopez , A. Naso , A. Pumir , B. Mehlig

We study the settling of suspensions of relatively large particles with a diameter of the order of ten Kolmogorov scales and density slightly larger than the carrier fluid in statistically steady homogeneous isotropic turbulence. The…

流体动力学 · 物理学 2025-03-11 Francesco Battistaa , Sergio Chibbarob , Paolo Gualtieria

Much work has been done to understand the settling dynamics of spherical particles in a homogeneous and a stratified fluid. However, the effects of shape anisotropy on the settling dynamics of a particle in a stratified fluid are not…

流体动力学 · 物理学 2025-01-23 Rishabh V. More , Mehdi N. Ardekani , Luca Brandt , Arezoo M. Ardekani

We perform direct numerical simulations of sub-Kolmogorov, inertial spheroids settling under gravity in homogeneous, isotropic turbulence and find that small-scale clustering, measured via the correlation dimension, depends sensitively on…

流体动力学 · 物理学 2025-05-07 Prateek Anand , Samriddhi Sankar Ray

In many applications to biophysics and environmental engineering, sedimentation of non-spherical particles for example: ellipsoids, is an important problem. In our work, we simulate the dynamics of oblate ellipsoids under gravity. We study…

软凝聚态物质 · 物理学 2009-11-10 F. Fonseca , H. J. Herrmann

Using 3D Vorono\text{\"i} analysis, we explore the local dynamics of small, settling, inertial particles in isotropic turbulence using Direct Numerical Simulations (DNS). We independently vary the Taylor Reynolds number $R_\lambda…

流体动力学 · 物理学 2020-03-25 Mohammadreza Momenifar , Andrew D. Bragg

Heavy particles suspended in a turbulent flow settle faster than in a still fluid. This effect stems from a preferential sampling of the regions where the fluid flows downward and is quantified here as a function of the level of turbulence,…

流体动力学 · 物理学 2015-06-18 Jeremie Bec , Holger Homann , Samriddhi Sankar Ray

The sedimentation of a rigid particle near a wall in a viscous fluid has been studied numerically by many authors, but analytical solutions have been derived only for special cases such as the motion of spherical particles. In this paper…

流体动力学 · 物理学 2015-05-13 William H. Mitchell , Saverio E. Spagnolie

The sedimentation dynamics of a prolate spheroidal particle in an unbounded elastoviscoplastic (EVP) fluid is studied by direct finite element simulations under inertialess flow conditions. The Saramito-Giesekus constitutive equation is…

流体动力学 · 物理学 2024-03-25 Alie Abbasi Yazdi , Gaetano DAvino

Stability of coarse particles against gravity is an important issue in dense suspensions (fresh concrete, foodstuff, etc.). On the one hand, it is known that they are stable at rest when the interstitial paste has a high enough yield…

软凝聚态物质 · 物理学 2012-06-11 Guillaume Ovarlez , François Bertrand , Philippe Coussot , Xavier Chateau

We study the effect of turbulence on marine life by performing numerical simulations of motile microorganisms, modelled as prolate spheroids, in isotropic homogeneous turbulence. We show that the clustering and patchiness observed in…

生物物理 · 物理学 2014-03-20 Caijuan Zhan , Gaetano Sardina , Enkeleida Lushi , Luca Brandt

We study the effect of particle shape on the turbulence in suspensions of spheroidal particles at volume fraction $\phi = 10\%$ and show how the near-wall particle dynamics deeply changes with the particle aspect ratio and how this affects…

流体动力学 · 物理学 2018-09-07 M. Niazi Ardekani , L. Brandt

The settling of colloidal particles with short-ranged attractions is investigated via highly resolved immersed boundary simulations. At modest volume fractions, we show that inter-colloid attractions lead to clustering that reduces the…

软凝聚态物质 · 物理学 2018-03-29 Andrew M. Fiore , Gang Wang , James W. Swan
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