No abstract

The analysis of nanofluids heat transfer over a wedge is very important due to their wider applications in applied thermal engineering, chemical engineering and biomedical engineering etc. Therefore, aim of the study is to explore the heat transport in nanofluid over a wedge (Falkner Skan flow) under viscous dissipation and thermal radiation over a wedge. The proper model formulation is carried out via similarity relations and empirical correlations of the nanofluids. After successful model transformation, numerical scheme (RK technique along with shooting technique) applied and furnished the results over the desired domain under varying effects of preemenant flow parameters. The results revealed that the velocity rises for opposing ($$\gamma <0$$ γ < 0 ) and assisting ($$\gamma >0$$ γ > 0 ) flows against $$\lambda$$ λ and significant contribution of Ec and imposed thermal radiations (Rd number) observed in thermal performance of the nanofluid. The temperature declines by strengthen $$\lambda$$ λ and optimum decrement is noted for opposing flow. Finally, a comparison is provided for various values of $$\lambda$$ λ ($$\lambda =\mathrm{0,0.014}, 0.04, 0.09, 0.1429, 0.2, \mathrm{0.333,0.5}$$ λ = 0 , 0.014 , 0.04 , 0.09 , 0.1429 , 0.2 , 0.333 , 0.5 ) with previously published work under certain restrictions and found an excellent agreement.

No abstract

No abstract

In the recent years, nanotechnology has been widely used in several fields regarding its rapid developments which create a lot of prospects for researchers and engineers. More specifically, replacement of conventional liquid with nanofluid is considered as an innovative solution to heat transfer problems. Keeping aforesaid pragmatism of nanofluid in view, we considered a time-dependent mathematical model to formulate the heat sink-source based Sutterby nanofluid model under thermophoretic and Brownian movements. New mass flux and melting boundary conditions are used for heat/mass transfer analyses. Moreover, Prandtl’s boundary-layer idea is employed for mathematical formulation. The leading nonlinear set of partial differential equations is transformed to nonlinear set of ordinary differential equations. Numeric outcomes are acquired through bvp4c algorithm, graphical results are found via MATLAB technique. Acquired numerical data shows that temperature of nanofluid boosts for greater thermophoretic and unsteady parameters. Intensification is measured in concentration distribution.