Study of radiative Reiner–Philippoff nanofluid model with gyrotactic microorganisms and activation energy: A Cattaneo–Christov Double Diffusion (CCDD) model analysis

Yun Xiang Li, Hassan Waqas, Kamel Al-Khaled, Sajjad Hussain, Sami Ullah Khan, Tian Chuan Sun, M. Ijaz Khan*, M. Y. Malik, Iskander Tlili

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The nanoparticles play a vital role in the enhancement heat transfer process which is substantial in many industrial and engineering phenomenon's. Moreover, the suspension of nanoparticles with microorganisms is another motivating research area which referred importance in the biotechnology, health sciences and biomedical applications. The aim of this investigation is to present analysis of bioconvection phenomenon for Darcy-Forchheimer flow of Reiner-Philippoff nanofluid induced by a stretched a surface. The contribution of slip via higher relations is dissected for the flow. The radiative pattern is examined for the thermally developed flow. The heat and mass assessment has been examined with help of modified CattaneoChristov expressions. The flow equations associated with momentum, volumetric friction and motile microorganism density is transformed into dimensionless form. Transmuted dimensionless non-linear equations are tracked with shooting technique and results of prominent parameters are sketched via different graphs by using computational software MATLAB. Numerical and graphical tests across macroscopic particles, such as velocity temperature, and the profile of microorganisms, are accessed behind the influence of prominent physical parameters.

Original languageEnglish
Pages (from-to)569-580
Number of pages12
JournalChinese Journal of Physics
Volume73
DOIs
Publication statusPublished - Oct 2021
Externally publishedYes

Keywords

  • Darcy–Forchheimer flow Reiner–Philippoff nanofluid
  • Motile microorganism
  • Shooting technique

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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