Abstract
In the present article, peristaltic nanofluid flow of an incompressible six constant Jeffrey’s fluid model in an asymmetric channel has been discussed. The flow has been analyzed in a wave frame of reference moving with the wave speed c. The problem formulation has been done for two dimensional and two directional flow under long wave length and low Reynold’s number approximation. The numerical solutions for the velocity, temperature and nanoparticle fraction and pressure rise are calculated using fourth and fifth order Runge-Kutta-Fehlberg method. The graphical results are presented to interpret the behaviour of various flow parameters.
Keywords: Peristaltic flow, Six constant Jeffrey’s model, asymmetric channel, Numerical solutions, Nano particle.
Current Nanoscience
Title:Numerical Simulation of Nanoparticle Fraction for the Peristaltic Flow of a Six Constant Jeffrey’s Fluid Model
Volume: 9 Issue: 6
Author(s): Noreen Sher Akbar, S. Nadeem, Changhoon Lee and Zafar Hayat Khan
Affiliation:
Keywords: Peristaltic flow, Six constant Jeffrey’s model, asymmetric channel, Numerical solutions, Nano particle.
Abstract: In the present article, peristaltic nanofluid flow of an incompressible six constant Jeffrey’s fluid model in an asymmetric channel has been discussed. The flow has been analyzed in a wave frame of reference moving with the wave speed c. The problem formulation has been done for two dimensional and two directional flow under long wave length and low Reynold’s number approximation. The numerical solutions for the velocity, temperature and nanoparticle fraction and pressure rise are calculated using fourth and fifth order Runge-Kutta-Fehlberg method. The graphical results are presented to interpret the behaviour of various flow parameters.
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Cite this article as:
Akbar Sher Noreen, Nadeem S., Lee Changhoon and Khan Hayat Zafar, Numerical Simulation of Nanoparticle Fraction for the Peristaltic Flow of a Six Constant Jeffrey’s Fluid Model, Current Nanoscience 2013; 9 (6) . https://dx.doi.org/10.2174/157341370906131108151102
DOI https://dx.doi.org/10.2174/157341370906131108151102 |
Print ISSN 1573-4137 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6786 |
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