Theoretical Prediction of Physical Properties (Viscosity) on 2D-based Nanofluids: Predicción teórica de las propiedades físicas (viscosidad) en nanofluidos 2D

Jaime Taha-Tijerina, Navid Sakhavand, Raji Kochandra, Pulickel Ajayan, Rouzbeh Shahsavari

Research output: Contribution to journalArticle

Abstract

Nanofuids have been recently studied For e±cient and high impact dielectric and tribological fuids, which possess superb thermal transport properties, compared to conventional fuids or lubricants. The present research theoretica-lly analyzes, through Molecular Dynamic(MD) simulations, the physical perFormance oF hexagonal boron nitride(h-BN) nanosheets reinForced mineral oil(MO). This analysis leads to the prediction oF nanofuids perFormance, uti-lizing the Lennard-Jones potential. The computational results oF viscosity perFormance are benchmarked at various temperature levels and nano²ller concentrations. The theoretical results indicate that the simulations presented can predict the behavior oF nanoreinForced fuids
Original languageEnglish
Pages (from-to)101 - 109
Number of pages9
JournalIngenieria, investigacion y tecnologia
Volume18
Issue number1
Publication statusPublished - Mar 2017

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Lennard-Jones potential
Boron nitride
Nanosheets
Mineral oils
Transport properties
Lubricants
Molecular dynamics
Physical properties
Viscosity
Computer simulation
Temperature
Hot Temperature

Cite this

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title = "Theoretical Prediction of Physical Properties (Viscosity) on 2D-based Nanofluids: Predicci{\'o}n te{\'o}rica de las propiedades f{\'i}sicas (viscosidad) en nanofluidos 2D",
abstract = "Nanofuids have been recently studied For e±cient and high impact dielectric and tribological fuids, which possess superb thermal transport properties, compared to conventional fuids or lubricants. The present research theoretica-lly analyzes, through Molecular Dynamic(MD) simulations, the physical perFormance oF hexagonal boron nitride(h-BN) nanosheets reinForced mineral oil(MO). This analysis leads to the prediction oF nanofuids perFormance, uti-lizing the Lennard-Jones potential. The computational results oF viscosity perFormance are benchmarked at various temperature levels and nano²ller concentrations. The theoretical results indicate that the simulations presented can predict the behavior oF nanoreinForced fuids",
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language = "English",
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Theoretical Prediction of Physical Properties (Viscosity) on 2D-based Nanofluids : Predicción teórica de las propiedades físicas (viscosidad) en nanofluidos 2D. / Taha-Tijerina, Jaime; Sakhavand, Navid; Kochandra, Raji; Ajayan, Pulickel; Shahsavari, Rouzbeh.

In: Ingenieria, investigacion y tecnologia, Vol. 18, No. 1, 03.2017, p. 101 - 109.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Theoretical Prediction of Physical Properties (Viscosity) on 2D-based Nanofluids

T2 - Predicción teórica de las propiedades físicas (viscosidad) en nanofluidos 2D

AU - Taha-Tijerina, Jaime

AU - Sakhavand, Navid

AU - Kochandra, Raji

AU - Ajayan, Pulickel

AU - Shahsavari, Rouzbeh

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N2 - Nanofuids have been recently studied For e±cient and high impact dielectric and tribological fuids, which possess superb thermal transport properties, compared to conventional fuids or lubricants. The present research theoretica-lly analyzes, through Molecular Dynamic(MD) simulations, the physical perFormance oF hexagonal boron nitride(h-BN) nanosheets reinForced mineral oil(MO). This analysis leads to the prediction oF nanofuids perFormance, uti-lizing the Lennard-Jones potential. The computational results oF viscosity perFormance are benchmarked at various temperature levels and nano²ller concentrations. The theoretical results indicate that the simulations presented can predict the behavior oF nanoreinForced fuids

AB - Nanofuids have been recently studied For e±cient and high impact dielectric and tribological fuids, which possess superb thermal transport properties, compared to conventional fuids or lubricants. The present research theoretica-lly analyzes, through Molecular Dynamic(MD) simulations, the physical perFormance oF hexagonal boron nitride(h-BN) nanosheets reinForced mineral oil(MO). This analysis leads to the prediction oF nanofuids perFormance, uti-lizing the Lennard-Jones potential. The computational results oF viscosity perFormance are benchmarked at various temperature levels and nano²ller concentrations. The theoretical results indicate that the simulations presented can predict the behavior oF nanoreinForced fuids

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