Brownian motion of nanoparticles in a triangular enclosure with natural convection

“…It is assumed that the fluid properties are constant, except for the density in the buoyancy term, following the Boussinesq approximation. So the non-dimensional governing equations under the Boussinesq approximation are written in general form as follows (Ghasemi and Aminossadati, 2010):…”

Section: Governing Equationsmentioning

confidence: 99%

“…The effects of rotating heated cylinders with different geometric cross sections in rectangular enclosures were investigated by Ghaddar (1996) and Shih et al (2009). Not surprisingly, the rotational direction of the cylinder has significant effects on convection heat transfer (Ghaddar, 1996;Costa and Raimundo, 2010;Ghasemi and Aminossadati, 2010;Liao and Lin, 2012). Moreover, Misirlioglu (2006) concluded that enhancement of heat transfer could be obtained when forced convection started to be significant.…”

Section: Introductionmentioning

confidence: 99%

Laminar mixed convection heat transfer of SiC-EG nanofluids in a triangular enclosure with a rotating inner cylinder: simulations based on the measured thermal conductivity and viscosity

Wang

Tian

et al. 2015

J. Zhejiang Univ. Sci. A

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A numerical study has been carried out for a laminar steady mixed convection flow in a 2D triangular enclosure with an inner rotating coaxial cylinder, with the enclosure filled with ethylene glycol-silicon carbide (SiC-EG). The thermal conductivity and viscosity of the SiC-EG nanofluids were experimentally determined by using a Decagon Devices KD2 Pro thermal property meter and a rotational Brookfield viscometer, respectively. Various pertinent parameters, such as the dimensionless rotation velocity, solid volume fraction, dimensionless radius of the inner cylinder, and Rayleigh numbers, were analyzed to determine their influences on heat transfer and fluid flow. Results clearly show how the direction of rotation of the cylinder affects the thermal performance in a triangular enclosure. It is found that the average Nusselt number increases with rise in the Rayleigh number or as more nanoparticles are added to the base liquid. It was also observed that at constant Rayleigh number, different rotational conditions have remarkable effects on the flow and heat transfer characteristics.

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“…Brownian motion of the particles and cluster formation in nanofluids are the major issues in the studies of nanofluids according to the important effect of their size on the heat transfer rate. Cluster formation causes the viscosity of nano fluid and thermal conductivity to change [16][17][18][19]. Although there have been some efforts in modeling the behavior of nanoparticles in nanofluids, no special research has been done to describe the cohesion and cluster formations of these particles analytically, and most of these works were numerical or experimental approach to this point.…”

Section: Modelling and Simulation In Engineeringmentioning

confidence: 99%

Study of Swarm Behavior in Modeling and Simulation of Cluster Formation in Nanofluids

Pirani

Tabrizi

Farshad

2013

Modelling and Simulation in Engineering

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Modeling the multiagents cooperative systems inspired from biological self-organized systems in the context of swarm model has been under great considerations especially in the field of the cooperation of multi robots. These models are trying to optimize the behavior of artificial multiagent systems by introducing a consensus, which is a mathematical model between the agents as an intelligence property for each member of the swarm set. The application of this novel approach in the modeling of nonintelligent multi agents systems in the field of cohesion and cluster formation of nanoparticles in nanofluids has been investigated in this study. This goal can be obtained by applying the basic swarm model for agents that are more mechanistic by considering their physical properties such as their mass, diameter, as well as the physical properties of the flow. Clustering in nanofluids is one of the major issues in the study of its effects on heat transfer. Study of the cluster formation dynamics in nanofluids using the swarm model can be useful in controlling the size and formation time of the clusters as well as designing appropriate microchannels, which the nanoparticles are plunged into.

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Brownian motion of nanoparticles in a triangular enclosure with natural convection

Cited by 187 publications

References 37 publications

Computational study of unsteady mixed convection heat transfer of nanofluids in a 3D closed lid-driven cavity

Computational study of unsteady mixed convection heat transfer of nanofluids in a 3D closed lid-driven cavity

Laminar mixed convection heat transfer of SiC-EG nanofluids in a triangular enclosure with a rotating inner cylinder: simulations based on the measured thermal conductivity and viscosity

Study of Swarm Behavior in Modeling and Simulation of Cluster Formation in Nanofluids

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