Enhanced heat transmission in unsteady magneto-nanoliquid flow due to a nonlinear extending sheet with convective boundary conditions

A computational analysis is performed to scrutinize the stimulus of an aligned magnetized force and radiative flux on the unsteady magneto-flow of ZnO + H2O nanoliquid across a varied thickness extending surface in the attendance of convective edge constraints. The prime motive of this exploration is to confer the best thermal transfer enactment nanomodel among Maxwell and Xue nanomodels. The arising system of PDE's are exercised by adopting suitable similarities to attain the no-dimension ODE's and the solutions are attained by implementing the built-in bvp5c MATLAB package. The energy equation is encompassed by Buongiorno slip mechanism, viscous dissipation, and radiative flux. Further, the flow, thermal, and concentration gradients are illustrated graphically. The major upshots imply that the radiative flux and thermal Biot number efficiently augment the Nusselt number in both situations. Also, the energy transport rate is noticeably 4% large in the Maxwell nanomodel when equated to Xue nanomodel.

Automated summary

A computational analysis is performed to investigate the effect of magnetized force and radiative flux on the unsteady magnetofluid flow of ZnO + H2O nanoliquid on a variable thickness surface with convective edge constraints. The study aims to compare the thermal transfer performance of the Maxwell and Xue nanomodels. The results indicate that both the radiative flux and thermal Biot number significantly increase the Nusselt number, and the energy transport rate is 4% higher in the Maxwell nanomodel compared to the Xue nanomodel.