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Article

Numerical Approximation of Microorganisms Hybrid Nanofluid Flow Induced by a Wavy Fluctuating Spinning Disc

1
Department of Mathematics, City University of Science and Information Technology, Peshawar 25000, Pakistan
2
Center of Excellence in Theoretical and Computational Science (TaCS-CoE), Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, Thailand
3
Department of Mathematics and Statistics, College of Science, King Faisal University, P.O. Box 400, Hafouf 31982, Saudi Arabia
4
Applied Mathematics for Science and Engineering Research Unit (AMSERU), Program in Applied Statistics, Department of Mathematics and Computer Science, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi, Thanyaburi, Pathumthani 12110, Thailand
5
Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan
*
Authors to whom correspondence should be addressed.
Coatings 2021, 11(9), 1032; https://doi.org/10.3390/coatings11091032
Submission received: 10 August 2021 / Revised: 23 August 2021 / Accepted: 25 August 2021 / Published: 27 August 2021
(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

Abstract

The analysis explored a numerical simulation of microorganisms, carbon nanotubes (CNTs) and ferric oxide water-based hybrid nanofluid flow induced by a wavy fluctuating spinning disc with energy propagation. In the presence of CNTs and magnetic nanoparticulates, the nanofluid is synthesized. The exceptional tensile strength, flexibility, and electrical and thermal conductivity of carbon nanotubes and iron nanoparticles have been extensively reported. The motive of the proposed analysis is to optimize thermal energy conveyance efficiency for a spectrum of industrial and biomedical applications. The phenomena have been expressed as a system of partial differential equations (PDEs) which contain the momentum, energy, concentration, and motile microorganism equations. The modeled equations have been diminished to the dimensionless system of nonlinear ODEs through a similarity framework. The Matlab built-in package boundary value solver has been utilized to solve the obtained system of ODEs. The findings are compared to the PCM technique for validity purposes. The results are illustrated graphically and discussed. The layout of a rotating disc has a positive effect on energy transition and velocity profile. The irregular rotating surface increases energy progression up to 15% relative to a smooth surface. The accumulation of nanocomposites (CNTs and magnetic nanoparticles) significantly enhanced the thermal capabilities of the liquid medium. When operating with a low distribution, it is more impactful.
Keywords: hybrid nanofluid; wavy spinning disk; CNTs; gyrotactic microorganism; MHD; fluctuating disk hybrid nanofluid; wavy spinning disk; CNTs; gyrotactic microorganism; MHD; fluctuating disk

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MDPI and ACS Style

Bilal, M.; Saeed, A.; Gul, T.; Ali, I.; Kumam, W.; Kumam, P. Numerical Approximation of Microorganisms Hybrid Nanofluid Flow Induced by a Wavy Fluctuating Spinning Disc. Coatings 2021, 11, 1032. https://doi.org/10.3390/coatings11091032

AMA Style

Bilal M, Saeed A, Gul T, Ali I, Kumam W, Kumam P. Numerical Approximation of Microorganisms Hybrid Nanofluid Flow Induced by a Wavy Fluctuating Spinning Disc. Coatings. 2021; 11(9):1032. https://doi.org/10.3390/coatings11091032

Chicago/Turabian Style

Bilal, Muhammad, Anwar Saeed, Taza Gul, Ishtiaq Ali, Wiyada Kumam, and Poom Kumam. 2021. "Numerical Approximation of Microorganisms Hybrid Nanofluid Flow Induced by a Wavy Fluctuating Spinning Disc" Coatings 11, no. 9: 1032. https://doi.org/10.3390/coatings11091032

APA Style

Bilal, M., Saeed, A., Gul, T., Ali, I., Kumam, W., & Kumam, P. (2021). Numerical Approximation of Microorganisms Hybrid Nanofluid Flow Induced by a Wavy Fluctuating Spinning Disc. Coatings, 11(9), 1032. https://doi.org/10.3390/coatings11091032

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