Research Papers

A Review and Parametric Investigation Into Nanofluid Viscosity Models

[+] Author and Article Information
Paul N. Nwosu

Department of Mechanical Engineering Science,
University of Johannesburg,
P.O. Box 524,
Auckland Park 2006, South Africa
e-mail: pauln@uj.ac.za

Josua Meyer, Mohsen Sharifpur

Department of Mechanical
and Aeronautical Engineering,
University of Pretoria,
Private Bag X20,
Hatfield 0028, South Africa

1Corresponding author.

Manuscript received October 29, 2013; final manuscript received November 8, 2014; published online February 2, 2015. Assoc. Editor: Roger Narayan.

J. Nanotechnol. Eng. Med 5(3), 031008 (Aug 01, 2014) (11 pages) Paper No: NANO-13-1080; doi: 10.1115/1.4029079 History: Received October 29, 2013; Revised November 08, 2014; Online February 02, 2015

The degree of variability between theoretical and empirical nanofluid viscosity model predictions and relevant experimental data is examined in this work. Results confirm a high degree of variability in the compared data; with some observed inconsistencies in the model formulations and the predicted data, consequently, a range of constitutive factors need to be incorporated into the models in order to accurately predict the rheological behavior of nanofluids in different use conditions. Notably, conducting broad theoretical studies and empirical investigations into the rheological behavior of nanofluids incorporating the fundamental parametric variables can plausibly lead to near-generalized models.

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Fig. 1

SEM image of TNT nanotubes with visible agglomeration, Chen et al. [15]

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Fig. 2

Schematic of (a) closely packed nanoparticles, (b) loosely packed nanoparticles, and (c) and dimensions for a nanoparticle

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Fig. 3

Comparison of empirical data with the model predictions for ηr versus dp

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Fig. 4

Comparison of empirical data with the model predictions for ηeff versus T

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Fig. 5

Evolution of ηr with r/h for the RW model [12]

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Fig. 6

Effects of increasing φ/φm values on ηr

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Fig. 7

Evolution of ηr with φ for the modified K–D [8] and K–D models [4]

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Fig. 8

Evolution of ηr with φ for the modified K–D [8] and Chen et al. [27] models

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Fig. 9

Evolution of ηr with φ for the modified K–D [8] and K–D models [4]




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