Numerical analysis of bioconvection-MHD flow of Williamson nanofluid with gyrotactic microbes and thermal radiation: New iterative method

Abstract: The aim of this study is to investigate the numerical analysis of an innovative model containing, bioconvection phenomena with a gyrotactic motile microorganism of magnetohydrodynamics Williamson nanofluids flow along with heat and mass transfer past a stretched surface. The effect of thickness variation and thermal conductivity feature is employed in the model. Bioconvection in nanofluid helps in bioscience such as in blood flow, drug delivery, micro-enzyme, biosensors, nanomedicine, for content detection, etc. For simulation procedure, the mathematical partial differential equations are converted into dimensionless systems owing to dimensionless variations such as magnetic field, power index velocity, Williamson parameter, wall thickness parameter, thermal conductivity variation, Prandtl number, thermal radiation, Brownian motion, Lewis number, Peclet number, and different concentration parameter, etc. For numerical simulation, New Iterative Technique (NIM) numerical algorithm is adopted and employed for the linear regression planned for the proposed model. For comparison purposes, the homotopy technique is employed on the flow model. Close agreement is seen between both methods revealing the accuracy and consistency of NIM numerical technique. Many features of no-scale constraints are evaluated through graphical data for a key profile of the flow model. Results show that microorganism concentration is heavy due to the magnetic effect and Hall current.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Numerical analysis of bioconvection-MHD flow of Williamson nanofluid with gyrotactic microbes and thermal radiation: New iterative method ; volume:20 ; number:1 ; year:2022 ; pages:470-483 ; extent:14
Open physics ; 20, Heft 1 (2022), 470-483 (gesamt 14)

Creator
Khan, Muhammad Jebran
Zuhra, Samina
Nawaz, Rashid
Duraisamy, Balaganesh
Alqahtani, Mohammed S.
Nisar, Kottakkaran Sooppy
Jamshed, Wasim
Abbas, Mohamed

DOI
10.1515/phys-2022-0036
URN
urn:nbn:de:101:1-2022071515595048065837
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:22 AM CEST

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Associated

  • Khan, Muhammad Jebran
  • Zuhra, Samina
  • Nawaz, Rashid
  • Duraisamy, Balaganesh
  • Alqahtani, Mohammed S.
  • Nisar, Kottakkaran Sooppy
  • Jamshed, Wasim
  • Abbas, Mohamed

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