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Drag coefficient

About: Drag coefficient is a research topic. Over the lifetime, 14471 publications have been published within this topic receiving 303196 citations. The topic is also known as: drag factor.


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Journal ArticleDOI
TL;DR: In this article, a 3D time dependent numerical study has been performed to predict the flow hydrodynamics in bubble columns by employing explicit algebraic Reynolds stress (EARSM), re-normalization group (RNG) and RNG bubble induced turbulence (BIT) k-e models and the computational fluid dynamics (CFD) results are compared with experimental work of Deen (2001).

85 citations

Journal ArticleDOI
TL;DR: In this paper, a large set of experimental data for pressure drop of water flow in three different porous media was collected, i.e., packed beds of spheres, packed spheres of 3mm and aluminum foam having 20 pores per inch.

85 citations

Journal ArticleDOI
TL;DR: In this article, a finite element mesh with an adequate number of grid points is employed to resolve the flow in the gap between the main and control cylinders, where D is the diameter of the main cylinder.

85 citations

Journal ArticleDOI
TL;DR: In this paper, a direct numerical simulation method has been used to study the dynamics of nonisothermal cylindrical particles in particulate flows and the effects of heat transfer in the sedimentation of particles.
Abstract: A newly developed direct numerical simulation method has been used to study the dynamics of nonisothermal cylindrical particles in particulate flows. The momentum and energy transfer equations are solved to compute the effects of heat transfer in the sedimentation of particles. Among the effects examined is the drag force on nonisothermal particles, which we found strongly depends on the Reynolds and Grashof numbers. It was observed that heat advection between hotter particles and fluid causes the drag coefficient of particles to significantly increase at relatively low Reynolds numbers. For Grashof number of 100, the drag enhancement effect diminishes when the Reynolds number exceeds 50. On the contrary, heat advection with colder particles reduces the drag coefficient for low and medium Reynolds number (Re<50) for Grashof number of −100. We used this numerical method to study the problem of a pair of hot particles settling in a container at different Grashof numbers. In isothermal cases, such a pair of particles would undergo the well-known drafting-kissing-tumbling (DKT) motion. However, it was observed that the buoyancy currents induced by the hotter particles reverse the DKT motion of the particles or suppress it altogether. Finally, the sedimentation of a circular cluster of 172 particles in an enclosure at two different Grashof numbers was studied and the main features of the results are presented.

85 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023307
2022688
2021489
2020504
2019504
2018456