2019 Impact factor 1.812
Soft Matter and Biological Physics

EPJE Topical review - Viscosity of nanofluids containing anisotropic particles: A critical review and a comprehensive model

When compared to nanofluids with spherical particles, nanofluids with anisotropic particles possess higher thermal conductivity and thus offer a better enhancement option in heat transfer applications. The viscosity variation of such nanofluids becomes of great importance in evaluating their pumping power in thermal systems.

A new EPJE review article from authors at North China Electric Power University, China, and Rochester Institute of Technology, USA, presents a comprehensive overview of experimental and theoretical studies on the viscosity of nanofluids with anisotropic particles. The internal mechanisms of viscosity evolution are investigated considering three aspects: particle clustering, particle interactions and Brownian motion. In experimental studies, important factors including classification and synthetic methods for particle preparation, base fluid, particle loading, particle shape and size, temperature, pH, shear stress and electric field are investigated in detail. Classical theoretical models and empirical relations of the effective viscosity of suspensions are discussed. Some crucial factors such as maximum particle packing fraction, fractal index and intrinsic viscosity models, are examined. A comparison of predictions and experimental results shows that the classical models underestimate suspension viscosity. A comprehensive combination of the modified Krieger-Dougherty (K-D) model with intrinsic viscosity relations for different aspect ratios is suggested for low particle loadings, and the modified Maron-Pierce model (M-D) is recommended for high particle loadings. Possible directions for future works are discussed.

Editors-in-Chief
F. Croccolo, F. Graner and H. Stark
We are happy to find such an accurate and well done editing work (as always with my experience with European Physical Journal series). We appreciate this. Thank you very much for your work.

Denis Goldobin

ISSN (Print Edition): 1292-8941
ISSN (Electronic Edition): 1292-895X

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