A review of recent advances in thermophysical properties at the nanoscale: from solid state to colloids
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Published version
Author(s)
Type
Journal Article
Abstract
Nanomaterials possess superior optical, electrical, magnetic, mechanical, and thermal properties, which have made them suitable for a multitude of applications. The present review paper deals with recent advances in the measurement and modeling of thermophysical properties at the nanoscale (from the solid state to colloids). For this purpose, first, various techniques for the measurement of the solid state properties, including thermal conductivity, thermal diffusivity, and specific heat capacity, are introduced. The main factors that affect the solid state properties are grain size, grain boundaries, surface interactions, doping, and temperature, which are discussed in detail. After that, methods for the measurement and modeling of thermophysical properties of colloids (nanofluids), including thermal conductivity, dynamic viscosity, specific heat capacity, and density, are presented. The main parameters affecting these properties, such as size, shape, and concentration of nanoparticles, aggregation, and sonication time are studied. Furthermore, the properties of not only simple nanofluids but also hybrid nanofluids (which are composed of more than one type of nanoparticles) are investigated. Finally, the main research gaps and challenges are listed.
Date Issued
2020-02-13
Date Acceptance
2019-12-05
Citation
Physics Reports, 2020, 843, pp.1-81
ISSN
0370-1573
Publisher
Elsevier
Start Page
1
End Page
81
Journal / Book Title
Physics Reports
Volume
843
Copyright Statement
© 2019 The Author(s). Published by Elsevier B.V. his is an open access article under the CCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Identifier
https://www.sciencedirect.com/science/article/pii/S0370157319304016?via%3Dihub
Subjects
Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
Nanomaterial
Colloids
Solid state
Thermophysical properties
Data mining
THERMAL-CONDUCTIVITY ENHANCEMENT
CONVECTIVE HEAT-TRANSFER
GLYCOL-BASED NANOFLUIDS
MOLECULAR-DYNAMICS SIMULATIONS
TRANSIENT HOT-WIRE
ARTIFICIAL NEURAL-NETWORK
WALLED CARBON NANOTUBES
METAL-OXIDE NANOFLUIDS
WATER-BASED NANOFLUIDS
PHASE-CHANGE MATERIAL
01 Mathematical Sciences
02 Physical Sciences
Nuclear & Particles Physics
Publication Status
Published
Date Publish Online
2019-12-12