@inbook{1fce28e862744448b1188efdb6e88c4c,
title = "Nonlinear forced convective hydromagnetic flow of unsteady biomagnetic fluid over a wedge with convective surface condition",
abstract = "Nonlinear forced convective hydromagnetic flow of an unsteady biomagnetic fluid over a wedge with convective surface has been analyzed numerically. The highly nonlinear coupled governing equations for the momentum, energy, angular momentum for the blood corpuscles and the magnetic induction are reduced to ordinary differential similarity equations by the introduction of a new similarity transformation. These equations are solved using very robust computer algebra software Maple 13. The effects of the various material parameters on the flow, temperature and microrotation fields are investigated. The results show that unsteadiness significantly controls the flow and heat transfer characteristics of the biomagnetic fluid. Strong unsteadiness may trigger back flow even for an accelerated flow. Due to the strong magnetic effect blood corpuscles may oscillate along the surface of the wedge. Induced magnetic field reduces fluid velocity and gives rise to its temperature significantly, which suggests that in the modeling of biomagnetic fluid the effect of induced magnetic field should be taken into account.",
keywords = "Biot number, Boundary layer thickness, Momentum thickness, Nusselt number, Skin friction coefficient",
author = "Rahman, {M. M.} and Sattar, {M. A.}",
note = "Funding Information: Acknowledgment M.M. Rahman would like to thank the Sultan Qaboos University for financial support through the research grant IG/SCI/DOMAS/10/02. M.A. Sattar expresses his sincere gratitude to Sultan Qaboos University for proving local hospitality during his visit. Publisher Copyright: {\textcopyright} Springer Science+Business Media Dordrecht 2014.",
year = "2014",
doi = "10.1007/978-94-007-7362-2_49",
language = "English",
series = "Springer Proceedings in Complexity",
publisher = "Springer",
pages = "423--452",
booktitle = "Springer Proceedings in Complexity",
}