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Thermal conductivity and molecular heat transport of nanofluids.
Dolatabadi, Nader; Rahmani, Ramin; Rahnejat, Homer; Garner, Colin P.
Afiliação
  • Dolatabadi N; Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University Leicestershire LE11 3TU UK N.Dolatabadi@lboro.ac.uk.
  • Rahmani R; Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University Leicestershire LE11 3TU UK N.Dolatabadi@lboro.ac.uk.
  • Rahnejat H; Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University Leicestershire LE11 3TU UK N.Dolatabadi@lboro.ac.uk.
  • Garner CP; Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University Leicestershire LE11 3TU UK N.Dolatabadi@lboro.ac.uk.
RSC Adv ; 9(5): 2516-2524, 2019 Jan 18.
Article em En | MEDLINE | ID: mdl-35520481
ABSTRACT
Fluid media such as water and ethylene glycol are usually quite poor conductors of heat. Nanoparticles can improve the thermal properties of fluids in a remarkable manner. Despite a plethora of experimental and theoretical studies, the underlying physics of heat transport in nanofluids is not yet well understood. Furthermore, the link between nanoscale energy transport and bulk properties of nanofluids is not fully established. This paper presents a thermal conductivity model, encapsulating solid-liquid interfacial thermal resistance, particle shape factor and the variation of thermal conductivity across a physisorbed fluidic layer on a nanoparticle surface. The developed model for thermal conductivity integrates the interfacial Kapitza resistance, the characteristics of a nanolayer, convective diffusion and surface energy with capillary condensation. In addition, the thickness of the nanolayer is predicted using the Brunauer-Emmett-Teller (BET) isotherms and micro/nano-menisci generated pressures of condensation. Such a comprehensive model for thermal conductivity of nanoparticles and systematic study has not hitherto been reported in the literature. The thermal conductivity model is evaluated using experimental data available in open literature.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: RSC Adv Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: RSC Adv Ano de publicação: 2019 Tipo de documento: Article