Vol.127, No.3, 2021, pp.901-922, doi:10.32604/cmes.2021.014469
OPEN ACCESS
ARTICLE
Hybrid Effects of Thermal and Concentration Convection on Peristaltic Flow of Fourth Grade Nanofluids in an Inclined Tapered Channel: Applications of Double-Diffusivity
  • Safia Akram*, Alia Razia
MCS, National University of Sciences and Technology, Islamabad, Pakistan
* Corresponding Author: Safia Akram. Email:
Received 29 September 2020; Accepted 04 January 2021; Issue published 24 May 2021
Abstract
This article brings into focus the hybrid effects of thermal and concentration convection on peristaltic pumping of fourth grade nanofluids in an inclined tapered channel. First, the brief mathematical modelling of the fourth grade nanofluids is provided along with thermal and concentration convection. The Lubrication method is used to simplify the partial differential equations which are tremendously nonlinear. Further, analytical technique is applied to solve the differential equations that are strongly nonlinear in nature, and exact solutions of temperature, volume fraction of nanoparticles, and concentration are studied. Numerical and graphical findings manifest the influence of various physical flow-quantity parameters. It is observed that the nanoparticle fraction decreases because of the increasing values of Brownian motion parameter and Dufour parameter, whereas the behaviour of nanoparticle fraction is quite opposite for thermophoresis parameter. It is also noted that the temperature profile decreases with increasing Brownian motion parameter values and rises with Dufour parameter values. Moreover, the concentration profile ascends with increasing thermophoresis parameter and Soret parameter values.
Keywords
Nanofluids; thermal and concentration convection; peristaltic flow; inclined tapered channel; fourth grade fluid
Cite This Article
Akram, S., Razia, A. (2021). Hybrid Effects of Thermal and Concentration Convection on Peristaltic Flow of Fourth Grade Nanofluids in an Inclined Tapered Channel: Applications of Double-Diffusivity. CMES-Computer Modeling in Engineering & Sciences, 127(3), 901–922.
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