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Numerical study of bio-convection flow of magneto-cross nanofluid containing gyrotactic microorganisms with activation energy

Qiu‐Hong ShiDepartment of Mathematics, Huzhou University, Huzhou, 313000, People's Republic of ChinaAamir HamidDepartment of Mathematics, Quaid-i-Azam University, Islamabad, 44000, PakistanM. Ijaz KhanDepartment of Mathematics and Statistics, Riphah International University, I-14, Islamabad, 44000, PakistanR. Naveen KumarDepartment of Studies and Research in Mathematics, Davangere University, Davangere, Karnataka, IndiaR. J. Punith GowdaDepartment of Studies and Research in Mathematics, Davangere University, Davangere, Karnataka, IndiaB. C. PrasannakumaraDepartment of Studies and Research in Mathematics, Davangere University, Davangere, Karnataka, IndiaNehad Ali ShahDepartment of Mathematics, Lahore Leads University, Lahore, Pakistan. [email protected]Sami Ullah KhanDepartment of Mathematics, COMSATS University Islamabad, Sahiwal, 57000, PakistanJae Dong ChungDepartment of Mechanical Engineering, Sejong University, Seoul, 05006, Korea
2021en
ABI

Аннотация

In this study, a mathematical model is developed to scrutinize the transient magnetic flow of Cross nanoliquid past a stretching sheet with thermal radiation effects. Binary chemical reactions and heat source/sink effects along with convective boundary condition are also taken into the consideration. Appropriate similarity transformations are utilized to transform partial differential equations (PDE's) into ordinary ones and then numerically tackled by shooting method. The impacts of different emerging parameters on the thermal, concentration, velocity, and micro-rotation profiles are incorporated and discussed in detail by means of graphs. Results reveal that, the escalation in magnetic parameter and Rayleigh number slowdowns the velocity and momentum of the fluid. The increase in Biot number, radiation and heat sink/source parameters upsurges the thermal boundary but, converse trend is seen for escalating Prandtl number. The density number of motile microorganisms acts as a growing function of bioconvection Lewis number and declining function of bioconvection Peclet number.

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