Abstract
In the present framework, the combined effect of magnetic field (Hartmann number, Ha), angle of inclination $$(\alpha )$$ , nanoparticle volume fraction $$(\chi )$$ , number of oscillations (N) and aspect ratio (AR) is investigated for natural convective heat transfer analysis containing hybrid nanofluid suspension ( $$\hbox {Al}_2\hbox {O}_3$$ and Cu) in wavy annulus having circular heater in the center and discrete coolers on the wavy walls. The homogeneous hybrid nanoliquid (0.1% of $$\hbox {Al}_2\hbox {O}_3{-}\hbox {Cu}/\hbox {water}$$ ) model with fitted correlations of viscosity and thermal conductivity from the experimental data is used, and results are evaluated for different ranges of controlling parameters: Rayleigh numbers ( $$\hbox {Ra}=10^3$$ – $$10^6$$ ), Hartmann number (Ha $$=$$ 0–50), aspect ratio (AR (D/H) = 0.2–0.6), number of oscillations or undulation parameter ( $$N=2$$ –8) with fixed amplitude ( $$a\,=\,0.02$$ ), angle of inclination ( $$\alpha =0{^{\circ }}$$ – $$135{^{\circ }}$$ ) and nanoparticle volume fraction ( $$\chi =0$$ –0.02) using Galerkin finite element method (GFEM) with triangular mesh. The mesh grid independency test has been conducted with different meshes (degree of freedoms), and a refined mesh with domain elements $$=$$ 21,662, boundary elements $$=$$ 884 and degree of freedoms (DOFs) $$=$$ 179,703 has been selected for entire computations. The average Nusselt number is evaluated as a function of Ra, $$\alpha$$ and N for different parametric ranges of $$\chi$$ , Ha and AR, respectively. The average heat transfer follows as zigzag pattern with increment in waviness (undulation parameter), and it has a minimum value for inclination angle $$=\pi /2$$ . With high Rayleigh number ( $$\hbox {Ra}>10^5$$ ), the average Nusselt number shows opposite trend with hybrid nanoparticle concentration. This type of research can be used in the design of an appropriate nanofluid-based cooling system for electronic components to ensure effective operational conditions.
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