Entropy and radiative heat transfer analysis in water-based nanofluid flow with Catteneo–Christov heat flux

This paper aims to investigate the thermal behavior of water-based nanofluid flow over a rotating surface, focusing on understanding the effects of different types of nanoparticles on thermal efficiency, considering Catteneo–Christov heat flux and variable viscosity effects. By considering four distinct nanoparticles — silicon dioxide, titanium dioxide, copper oxide and zinc oxide — this study aims to provide insights into how nanoparticle addition influences heat production, thermal boundary layer thickness and overall thermal performance. The study employs computational methods by utilizing the BVP Midrich algorithm for the solution procedure. The computational approach allows for a detailed investigation of the thermal behavior of nanofluid flows across a rotating surface under varying conditions. The study concludes that adding nanoparticles in the base liquid increases heat production in the system, resulting in enhanced thermal boundary layer thickness. The comparative analysis shows that different nanoparticle types exhibit varying effects on thermal efficiency, suggesting that careful selection of nanoparticles can optimize heat transport and thermal management processes. Moreover, it seems there’s a noteworthy downfall in the thermal profile concerning the relaxation time parameter, whereas a converse trend is observed for Biot number.