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  5. Statistical modeling for nanofluid flow: a stretching sheet with thermophysical property data
 
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Statistical modeling for nanofluid flow: a stretching sheet with thermophysical property data

Journal
Colloids and Interfaces
ISSN
2504-5377
Date Issued
2020
Author(s)
Alias Jedi
Universiti Kebangsaan Malaysia
Azhari Shamsudeen
Universiti Kebangsaan Malaysia
Noorhelyna Razali
Universiti Kebangsaan Malaysia
Haliza Othman
Universiti Malaysia Perlis
Nuryazmin Ahmat Zainuri
Universiti Kebangsaan Malaysia
Noraishikin Zulkarnain
Universiti Kebangsaan Malaysia
Nor Ashikin Abu Bakar
Universiti Malaysia Perlis
Kafi Dano Pati
University of Duhok, Iraq
Thanoon Y. Thanoon
Northern Technical University, Iraq
DOI
10.3390/colloids4010003
Handle (URI)
https://www.mdpi.com/2504-5377/4/1/3/pdf
https://www.mdpi.com
https://hdl.handle.net/20.500.14170/14919
Abstract
This paper reports the use of a numerical solution of nanofluid flow. The boundary layer flow over a stretching sheet in combination of two nanofluids models is studied. The partial differential equation that governs this model was transformed into a nonlinear ordinary differential equation by using similarity variables, and the numerical results were obtained by applying the shooting technique. Copper (Cu) nanoparticles (water-based fluid) were used in this study. This paper presents and discusses all numerical results, including those for the local Sherwood number and the local Nusselt number. Additionally, the effects of the nanoparticle volume fraction, Brownian motion Nb, and thermophoresis Nt on the performance of heat transfer are discussed. The results show that the stretching sheet has a unique solution: as the nanoparticle volume fraction φ (φ = 0), Nt (Nt = 0.1), and Nb decrease, the rate of heat transfer increases. Furthermore, as φ (φ = 0) and Nb decrease, the rate of mass transfer increases. The data of the Nusselt and Sherwood numbers were tested using different statistical distributions, and it is found that both datasets fit the Weibull distribution for different values of Nt and rotating φ.
File(s)
Statistical modeling for nanofluid flow.pdf (1.09 MB)
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