Jurij Avsec (Author), Maks Oblak (Author)

Abstract

The paper features the mathematical model of calculation of thermophysical properties for nanofluids on the basis of statistical nanomechanics. Calculation of properties for nanofluids for real substances is possible by the classical and statistical mechanics. Classical mechanics has no insight into the microstructure of the substance. Statistical mechanics, on the other hand, calculates the properties of state on the basis of molecular motions in a space, and on the basis of the intermolecular interactions. The equations obtained by means of classical thermomechanics are empirical and apply only in the region under observation. The main drawback of classical thermomechanicsis that it lacks the insight into the substance of microstructure. Contrary to classical mechanics, statistical mechanics calculates the thermomechanic properties of state on the basis of intermolecular and intramolecular interactions between particles in the same system of molecules. It deals with the systems composed of a very large number of particles. The results of the analysis are compared with experimental data and show a relatively good agreement. The analytical results obtained by statistical mechanics are compared with the experimental data and show relatively good agreement.

Keywords

statistična termodinamika;termofizične lastnosti;viskoznost;toplotna prevodnost;nanofluidi;statistična nanomehanika;statistical thermodynamics;thermophysical properties;viscosity;thermal conductivity;thermodynamic properties;mathematical model;nanofluids;statistical nanomechanics;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FS - Faculty of Mechanical Engineering
UDC: 536.75
COBISS: 11502870 Link will open in a new window
ISSN: 0017-9310
Views: 1791
Downloads: 122
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Other data

Secondary language: English
Secondary keywords: statistična termodinamika;termofizične lastnosti;viskoznost;toplotna prevodnost;nanofluidi;statistična nanomehanika;
URN: URN:SI:UM:
Pages: str. 4331-4341
Volume: ǂVol. ǂ50
Issue: ǂiss. ǂ21/22
Chronology: Oct. 2007
ID: 8717377