Answers are grounded in this paper and cite their sources.
Investigates heat transfer parameters in hybrid nanofluids, implying design improvements for thermal systems.
Efficient heat transfer in hybrid nanofluids is essential for many industrial and biomedical applications. This study investigates magnetohydrodynamic hybrid nanofluid flow over a stretching surface embedded in a porous medium using the Cattaneo-Christov heat flux model, which accounts for finite-speed thermal propagation through thermal relaxation. The analysis incorporates convective heating, thermal radiation, and velocity slip, with water containing titanium dioxide and lead nanoparticles as the working fluid. The governing equations are transformed and solved numerically in Mathematica. Response surface methodology and analysis of variance are employed to evaluate parameter sensitivity and validate the statistical significance of the model. Residual analysis and the adjusted (R^2) confirm excellent predictive accuracy. The results indicate that magnetic fields suppress fluid velocity, whereas mixed convection enhances it. Nanoparticle concentration and flow parameters strongly influence skin friction and heat transfer rates, providing useful guidance for the design and optimization of advanced hybrid nanofluid thermal systems.
No takes yet. Share an insight, caveat, or question.
Ali et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: