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Numerical computation of magnetized bioconvection nanofluid flow with temperature-dependent viscosity and Arrhenius kinetic

Author

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  • Shahid, A.
  • Huang, H.L.
  • Bhatti, M.M.
  • Marin, M.

Abstract

The current study focused on the impact of activation energy and magnetic field on immiscible steady nanofluid moving over an elastic stretched surface containing motile gyrotactic microorganisms. We use the Reynolds exponential model to develop the mathematical modeling since the viscosity of the fluid is temperature-dependent. Under the presence of uniformly disseminated nanoparticles, the base fluid is electrically conductive. The Buongiorno model, which incorporates thermophoretic forces and Brownian motion, has been used. Using the spectral local linearization approach (SLLM), the looming nonlinear, coupled differential equations are numerically addressed. Because it is based on a smooth Uni-variant linearization of non-linear functions, the SLLM method is simple to construct and use. The numerical performance of SLLM is even better since it grows a collection of equations that are solved sequentially by operating the findings from one equation into the next. The successive over-relaxation technique was used to accelerate and enhance the convergence of the SLLM system. The reliability of the SLLM will be verified through the use of well-known techniques and comparisons with other data We have illustrated and analyzed in detail the graphical behavior of all emergent variables for temperature, velocity, and concentration distributions, and also the Nusselt number, Sherwood number, skin friction, and density number of motile microorganisms. It is significant to claim that the spectral local linearization approach has been demonstrated to be extremely stable and adaptive for the solution of non-linear differential equations.

Suggested Citation

  • Shahid, A. & Huang, H.L. & Bhatti, M.M. & Marin, M., 2022. "Numerical computation of magnetized bioconvection nanofluid flow with temperature-dependent viscosity and Arrhenius kinetic," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 200(C), pages 377-392.
    • Handle: RePEc:eee:matcom:v:200:y:2022:i:c:p:377-392
    DOI: 10.1016/j.matcom.2022.04.032
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    References listed on IDEAS

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    1. Zeeshan, Ahmed & Majeed, Aaqib & Akram, Muhammad Javed & Alzahrani, Faris, 2021. "Numerical investigation of MHD radiative heat and mass transfer of nanofluid flow towards a vertical wavy surface with viscous dissipation and Joule heating effects using Keller-box method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1080-1109.
    2. Doh, Deog-Hee & Muthtamilselvan, M. & Swathene, B. & Ramya, E., 2020. "Homogeneous and heterogeneous reactions in a nanofluid flow due to a rotating disk of variable thickness using HAM," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 168(C), pages 90-110.
    3. Bhatti, Muhammad Mubashir & Jun, Shen & Khalique, Chaudry Masood & Shahid, Anwar & Fasheng, Liu & Mohamed, Mohamed S., 2022. "Lie group analysis and robust computational approach to examine mass transport process using Jeffrey fluid model," Applied Mathematics and Computation, Elsevier, vol. 421(C).
    4. S A M. Mehryan & Farshad Moradi Kashkooli & M Soltani & Kaamran Raahemifar, 2016. "Fluid Flow and Heat Transfer Analysis of a Nanofluid Containing Motile Gyrotactic Micro-Organisms Passing a Nonlinear Stretching Vertical Sheet in the Presence of a Non-Uniform Magnetic Field; Numeric," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-32, June.
    5. P. K. Pattnaik & S. K. Parida & S. R. Mishra & M. Ali Abbas & M. M. Bhatti & Fairouz Tchier, 2022. "Analysis of Metallic Nanoparticles (Cu, Al2O3, and SWCNTs) on Magnetohydrodynamics Water-Based Nanofluid through a Porous Medium," Journal of Mathematics, Hindawi, vol. 2022, pages 1-12, February.
    6. Kumbhakar, Bidyasagar & Nandi, Susmay, 2022. "Unsteady MHD radiative-dissipative flow of Cu-Al2O3/H2O hybrid nanofluid past a stretching sheet with slip and convective conditions: A regression analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 563-587.
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