Brownian dynamic simulation for the prediction of effective thermal conductivity of nanofluid |
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Authors: | Shashi Jain Hrishikesh E Patel Sarit Kumar Das |
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Institution: | (1) Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, 600036, India;(2) Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT), 77 Massachusetts Avenue, Room 3-354A, Cambridge, MA 02139, USA |
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Abstract: | Nanofluid is a colloidal solution of nanosized solid particles in liquids. Nanofluids show anomalously high thermal conductivity
in comparison to the base fluid, a fact that has drawn the interest of lots of research groups. Thermal conductivity of nanofluids
depends on factors such as the nature of base fluid and nanoparticle, particle concentration, temperature of the fluid and
size of the particles. Also, the nanofluids show significant change in properties such as viscosity and specific heat in comparison
to the base fluid. Hence, a theoretical model becomes important in order to optimize the nanofluid dispersion (with respect
to particle size, volume fraction, temperature, etc.) for its performance. As molecular dynamic simulation is computationally
expensive, here the technique of Brownian dynamic simulation coupled with the Green Kubo model has been used in order to compute
the thermal conductivity of nanofluids. The simulations were performed for different concentration ranging from 0.5 to 3 vol%,
particle size ranging from 15 to 150 nm and temperature ranging from 290 to 320 K. The results were compared with the available
experimental data, and they were found to be in close agreement. The model also brings to light important physical aspect
like the role of Brownian motion in the thermal conductivity enhancement of nanofluids. |
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Keywords: | Nanofluids Suspensions Thermal conduction Brownian dynamic simulation Effective conductivity Nanoparticles Modeling |
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