Brownian and thermal diffusivity impact due to the Maxwell nanofluid (graphene/engine oil) flow with motile microorganisms and Joule heating

Nanofluids have many applications in industries as well as engineering such as biomedicine, manufacturing, and electronics. Nanofluid is used for improvement of thermal and mass transmission. Based on the aforementioned applications, in the present study, a two-dimensional Maxwell nanofluid with the...

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Main Authors: Algehyne Ebrahem A., Rehman Sadique, Ayub Rashid, Saeed Anwar, Eldin Sayed M., Galal Ahmed M.
Format: Article
Language:English
Published: De Gruyter 2023-06-01
Series:Nanotechnology Reviews
Subjects:
Online Access:https://doi.org/10.1515/ntrev-2022-0540
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author Algehyne Ebrahem A.
Rehman Sadique
Ayub Rashid
Saeed Anwar
Eldin Sayed M.
Galal Ahmed M.
author_facet Algehyne Ebrahem A.
Rehman Sadique
Ayub Rashid
Saeed Anwar
Eldin Sayed M.
Galal Ahmed M.
author_sort Algehyne Ebrahem A.
collection DOAJ
description Nanofluids have many applications in industries as well as engineering such as biomedicine, manufacturing, and electronics. Nanofluid is used for improvement of thermal and mass transmission. Based on the aforementioned applications, in the present study, a two-dimensional Maxwell nanofluid with thermal radiation effect on the existence of motile microorganisms over a vertically stretchable surface is explored. The consequence of heat absorption, the efficiency of heat flux in a porous medium, viscous dissipations, and Joule heating impacts are considered. The Brownian and thermophoretic diffusion effects have been evaluated. In addition, the binary chemical reaction is taken into account to evaluate the magnetohydrodynamics (MHD) mixed convection flow. Graphene nanoparticles are suspended in so-called engine oil (base fluid). The proposed liquid model depends on the governing nonlinear equations of velocity, temperature, the concentration of nanoparticles, and motile gyrotactic microorganisms. In order to transform highly nonlinear partial differential equations into nonlinear ordinary differential equations, an appropriate similarity transformation is exploited. For the solution of the present study, the homotopy analysis method-technique in Mathematica-12 is used. The fluctuation of velocity, temperature, concentration, and gyrotactic microorganisms’ characteristics for numerous flow parameters is discussed in detail. Some important fallouts of the existing study are that the Maxwell liquid parameter, Eckert number, and magnetic parameter lessen the nanoliquid velocity. But the fluid temperature becomes higher for growing estimates of the Brownian motion and thermophoretic factors. The radiation and chemical reaction parameters have declining impacts on the solutal profile. The motile microorganism profile shows a decrement in bioconvection Lewis and Rayleigh numbers. The nanofluid thermal profile is improved but the nanofluid velocity declined through the augmentation of volume fraction. Also, the coefficient of skin friction and Nusselt number are obtained versus various flow parameters.
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spelling doaj.art-5b3376d9bd8f4c74b2c065d2c17394ff2023-06-19T05:53:33ZengDe GruyterNanotechnology Reviews2191-90972023-06-0112112829010.1515/ntrev-2022-0540Brownian and thermal diffusivity impact due to the Maxwell nanofluid (graphene/engine oil) flow with motile microorganisms and Joule heatingAlgehyne Ebrahem A.0Rehman Sadique1Ayub Rashid2Saeed Anwar3Eldin Sayed M.4Galal Ahmed M.5Department of Mathematics, Faculty of Science, University of Tabuk, P.O. Box 741, Tabuk 71491, Saudi ArabiaDivision of Mathematical and Physical Sciences, Kanazawa University, Kakuma, Kanazawa920-1192, JapanCentre for Advanced Studies in Pure and Applied Mathematics, Bahauddin Zakariya University, Multan60800, PakistanCenter of Excellence in Theoretical and Computational Science (TaCS-CoE) & KMUTTFixed Point Research Laboratory, Room SCL 802 Fixed Point Laboratory, Science Laboratory Building, Departments of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thung Khru, Bangkok10140, ThailandCenter of Research, Faculty of Engineering, Future University in Egypt New Cairo, New Cairo, EgyptDepartment of Mechanical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Wadi Alddawasir, Saudi ArabiaNanofluids have many applications in industries as well as engineering such as biomedicine, manufacturing, and electronics. Nanofluid is used for improvement of thermal and mass transmission. Based on the aforementioned applications, in the present study, a two-dimensional Maxwell nanofluid with thermal radiation effect on the existence of motile microorganisms over a vertically stretchable surface is explored. The consequence of heat absorption, the efficiency of heat flux in a porous medium, viscous dissipations, and Joule heating impacts are considered. The Brownian and thermophoretic diffusion effects have been evaluated. In addition, the binary chemical reaction is taken into account to evaluate the magnetohydrodynamics (MHD) mixed convection flow. Graphene nanoparticles are suspended in so-called engine oil (base fluid). The proposed liquid model depends on the governing nonlinear equations of velocity, temperature, the concentration of nanoparticles, and motile gyrotactic microorganisms. In order to transform highly nonlinear partial differential equations into nonlinear ordinary differential equations, an appropriate similarity transformation is exploited. For the solution of the present study, the homotopy analysis method-technique in Mathematica-12 is used. The fluctuation of velocity, temperature, concentration, and gyrotactic microorganisms’ characteristics for numerous flow parameters is discussed in detail. Some important fallouts of the existing study are that the Maxwell liquid parameter, Eckert number, and magnetic parameter lessen the nanoliquid velocity. But the fluid temperature becomes higher for growing estimates of the Brownian motion and thermophoretic factors. The radiation and chemical reaction parameters have declining impacts on the solutal profile. The motile microorganism profile shows a decrement in bioconvection Lewis and Rayleigh numbers. The nanofluid thermal profile is improved but the nanofluid velocity declined through the augmentation of volume fraction. Also, the coefficient of skin friction and Nusselt number are obtained versus various flow parameters.https://doi.org/10.1515/ntrev-2022-0540maxwell nanofluidtwo-dimensional flowchemical reactionviscous dissipationbioconvectionswimming microorganismshomotopy analysis methodmathematica
spellingShingle Algehyne Ebrahem A.
Rehman Sadique
Ayub Rashid
Saeed Anwar
Eldin Sayed M.
Galal Ahmed M.
Brownian and thermal diffusivity impact due to the Maxwell nanofluid (graphene/engine oil) flow with motile microorganisms and Joule heating
Nanotechnology Reviews
maxwell nanofluid
two-dimensional flow
chemical reaction
viscous dissipation
bioconvection
swimming microorganisms
homotopy analysis method
mathematica
title Brownian and thermal diffusivity impact due to the Maxwell nanofluid (graphene/engine oil) flow with motile microorganisms and Joule heating
title_full Brownian and thermal diffusivity impact due to the Maxwell nanofluid (graphene/engine oil) flow with motile microorganisms and Joule heating
title_fullStr Brownian and thermal diffusivity impact due to the Maxwell nanofluid (graphene/engine oil) flow with motile microorganisms and Joule heating
title_full_unstemmed Brownian and thermal diffusivity impact due to the Maxwell nanofluid (graphene/engine oil) flow with motile microorganisms and Joule heating
title_short Brownian and thermal diffusivity impact due to the Maxwell nanofluid (graphene/engine oil) flow with motile microorganisms and Joule heating
title_sort brownian and thermal diffusivity impact due to the maxwell nanofluid graphene engine oil flow with motile microorganisms and joule heating
topic maxwell nanofluid
two-dimensional flow
chemical reaction
viscous dissipation
bioconvection
swimming microorganisms
homotopy analysis method
mathematica
url https://doi.org/10.1515/ntrev-2022-0540
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