This study is focused on modeling and simulations of hybrid nanofluid flow. Uranium dioxide nanoparticles are hybrid with copper Cu, copper oxide CuO and aluminum oxide while considering blood as a base fluid. The blood flow is initially modeled considering magnetic effect, non-linear thermal radiation and chemical reactions along with convective boundaries. Then for finding solution of the obtained highly nonlinear coupled system we propose a methodology in which q-homotopy analysis method is hybrid with Galerkin and least square Optimizers. Residual errors are also computed in this study to confirm the validity of results. Analysis reveals that rate of heat transfer in arteries increases up to 13.52 Percent with an increase in volume fraction of Cu while keeping volume fraction of fixed to 1% in a base fluid (blood). This observation is in excellent agreement with experimental result. Furthermore, comparative graphical study of and for increasing volume fraction is also performed keeping volume fraction fixed. Investigation indicates that Cu has the highest rate of heat transfer in blood when compared with CuO and . It is also observed that thermal radiation increases the heat transfer rate in the current study. Furthermore, chemical reaction decreases rate of mass transfer in hybrid blood nanoflow. This study will help medical practitioners to minimize the adverse effects of by introducing hybrid nano particles in blood based fluids.
Keywords: Blood flow; Chemical reaction; Convective boundary conditions; Hybrid nanofluid; Non-linear thermal radiation; Optimal q-homotopy analysis method.
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