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Abstract Renewable energy has expanded significantly in the twenty-first century due to increasing efficiency and sustainability, and reducing harmful emissions. Among various renewable sources, solar energy is the most abundant. Engineers have developed numerous solar power collector systems, focusing on optimizing coatings to enhance absorption and durability. Recently, magnetic nano-coatings with smart functional properties using different nanoparticles (hybrid designs) have been a key trend. This study aims to construct a mathematical model for the stretching coating flow of manganese ferrite (MnFe₂O₄ MnFe 2 O 4) –nickel ferrite (NiFe 2 O 4) –ethylene glycol ferro-magnetic nanofluids. This model incorporates thermal radiation flux, velocity slip condition, magnetic dipole, heat source, and viscous dissipation. Using similarity variables, the non-linear boundary layer conservation equations for momentum, energy, and mass are transformed into a dimensionless boundary value problem and solved computationally with the Keller box implicit method. Validation with prior findings is provided. Key characteristics, such as pressure distribution, velocity, temperature, Nusselt number, and skin friction, are graphically visualized for different parameters. Results show that skin friction increases linearly with higher nanoparticle volume percentages (1 for manganese ferrite and 2 for nickel ferrite). An increase in the ferro-hydrodynamics interaction parameter decreases pressure profile 1 while increasing 2. Higher manganese ferrite nanoparticle volume fraction (1) increases pressure profile 1 but slightly decreases 2. Greater nickel nanoparticle volume fraction (2) and higher values significantly enhance temperature. This study concludes that careful selection of ferro-magnetic, slip, and nanoparticle volume fractions can optimize heat transfer rates, benefiting solar nano-coating design.
Bhatti et al. (Thu,) studied this question.