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Entropy generation in bioconvection hydromagnetic flow with gyrotactic motile microorganisms.
Khan, Sohail A; Hayat, T; Alsaedi, A.
Affiliation
  • Khan SA; Department of Mathematics, Quaid-I-Azam University 45320 Islamabad 44000 Pakistan sohailahmadkhan93@gmail.com.
  • Hayat T; Department of Mathematics, Quaid-I-Azam University 45320 Islamabad 44000 Pakistan sohailahmadkhan93@gmail.com.
  • Alsaedi A; Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Faculty of Science, King Abdulaziz University P. O. Box 80207 Jeddah 21589 Saudi Arabia.
Nanoscale Adv ; 5(18): 4863-4872, 2023 Sep 12.
Article in En | MEDLINE | ID: mdl-37705799
ABSTRACT
Here, the magnetohydrodynamic bioconvective flow of a non-Newtonian nanomaterial over a stretched sheet is scrutinized. The characteristics of convective conditions are analyzed. Irreversibility analysis in the presence of gyrotactic micro-organisms is discussed. Energy expression is assisted with thermal radiation, heat generation and ohmic heating. Buongiorno's model is employed to discuss the characteristics of the nanoliquid through thermophoresis and random diffusions. Nonlinear expressions of the given model are transformed through adequate transformations. The obtained expressions have been computed by the Newton built in-shooting technique. Results of influential variables for velocity, concentration, microorganism field, temperature and entropy rate are graphically studied. Clearly, velocity reduction is witnessed for the bioconvection Rayleigh number and magnetic variable. A higher heat generation variable leads to augmentation of temperature. An increase in the magnetic variable results in entropy and temperature enhancement. A higher Peclet number results in microorganism field reduction. Temperature distribution rises for radiation and the thermal Biot number. A higher solutal Biot number intensifies the concentration. The entropy rate for radiation and diffusion variables is enhanced.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Nanoscale Adv Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Nanoscale Adv Year: 2023 Document type: Article
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