Comparative Numerical Analysis for the Error Estimation of the Fluid Flow over an Inclined Axisymmetric Cylinder with a Gyrotactic Microbe

Author:

Awwad Fuad A.1ORCID,Ismail Emad A. A.1ORCID,Khan Waris2,Gul Taza34ORCID,Khan Abdul Samad5ORCID

Affiliation:

1. Department of Quantitative Analysis, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh 11587, Saudi Arabia

2. Department of Mathematics & Statistics, Hazara University, Mansehra 12120, Pakistan

3. Cambridge Graphene Center, University of Cambridge, 9 JJ Thomson Ave, Cambridge CB3 0FA, UK

4. Department of Mathematics, City University of Science and Information Technology, Peshawar 25000, Pakistan

5. Research Center for Computational Science, School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an 710129, China

Abstract

The numerical investigation of bioconvective nanofluid (NF) flow, which involves gyrotactic microbes and heat and mass transmission analysis above an inclined extending axisymmetric cylinder, is presented in this study. The study aims to investigate the bioconvection flow of nanofluid under the influence of heat sources/sinks. Through proper transformation, all partial differential equations are transformed into a non-linear ODE scheme. A new set of variables is presented in the directive to get the first-order convectional equations and then solved numerically using bvp4c MATLAB, embedded in the function. The proposed model is validated after calculating the error estimation and obtaining the residual error. The influence of various factors on the velocity, energy, concentration, and density of motile microorganisms is examined and studied. The analysis describes and addresses all physical measures of concentration such as Skin Friction (SF), Sherwood number, the density of motile microorganisms, and Nusselt number. To validate the present study, a comparison is conducted with previous studies, and excellent correspondence is found. In addition, the ND-Solve approach is utilized to confirm the bvp4c. The mathematical model is confirmed through error analysis. This study provides the platform for industrial applications such as cooling capacity polymers, heat exchange, and chemical production sectors.

Funder

King Saud University, Riyadh, Saudi Arabia

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

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