Heat Transport Improvement and Three-Dimensional Rotating Cone Flow of Hybrid-Based Nanofluid

• Published in: Mathematical problems in engineering 2021-10, Vol.2021, p.1-11
• Main Authors: Hussain, Azad, Haider, Qusain, Rehman, Aysha, Malik, M. Y., Nadeem, Sohail, Hussain, Shafiq
• Format: Article
• Language: English
• Subjects: Algorithms; Angular velocity; Boundary conditions; Convective heat transfer; Cooling; Efficiency; Energy dissipation; Engineering; Ethylene glycol; Flow velocity; Fluid flow; Free convection; Heat transfer; Heat transmission; Liquid phases; Magnetic fields; Mathematical models; Nanofluids; Nanoparticles; Non-Newtonian fluids; Ordinary differential equations; Parameters; Partial differential equations; Phase change materials; Physical properties; Prandtl number; Reynolds number; Rheology; Shear strain; Thermal conductivity; Thermal energy; Three dimensional flow; Titanium dioxide; Viscosity
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2021/6633468

The current research aims to study the mixed convection of a hybrid-based nanofluid consisting of ethylene glycol-water, copper (II) oxide (CuO) and titanium dioxide (TiO2) in a vertical cone. A hybrid base blend model is used to examine the nanofluid’s hydrostatic and thermal behaviors over a diverse range of Reynolds numbers. The application of mixed nanoparticles rather than simple nanoparticles is one of the most imperative things in increasing the heat flow of the fluids. To test such a flow sector, for the very first time, a hybrid-based mixture model was introduced. Also, the mixture framework is a single-phase model formulation, which was used extensively for heat transfer with nanofluids. Comparison of computed values with the experimental values is presented between two models (i.e., the model of a mixture with the model of a single-phase). The natural convection within the liquid phase of phase change material is considered through the liquid fraction dependence of the thermal conductivity. The predicted results of the current model are also compared with the literature; for numerical results, the bvp4c algorithm is used to quantify the effects of nanoparticle volume fraction diffusion on the continuity, momentum, and energy equations using the viscous model for convective heat transfer in nanofluids. Expressions for velocity and temperature fields are presented. Also, the expressions for skin frictions, shear strain, and Nusselt number are obtained. The effects of involved physical parameters (e.g., Prandtl number, angular velocity ratio, buoyancy ratio, and unsteady parameter) are examined through graphs and tables.