Numerical aggregation for dissipative flow of hybrid nanomaterial: Darcy Forchheimer model

Abstract

In recent years, investigations on hybrid nanofluids have rapidly increased, and results show that hybrid nanofluids are more valuable heat transfer fluids for engineering applications due to their excellent thermophysical characteristics. Therefore, the present numerical study is conducted to approximate the thermal transport characteristics of hybrid nanofluids over a vertical stretching/shrinking surface. The hybrid nanoparticles are alumina (Al2O3) and silver (Ag), with water as the base fluid. The transportation phenomenon occur in Darcy-Forchheimer medium porous material with thermal radiation, Joule heating and heat source/sink effects. The governing PDEs are transformed by a appropriate similarity transformations into non-linear ODEs. In MATLAB, the built-in numerical approach bvp4c is used to proceed the approximate integration of flow work. The behaviors of some physical flow constraints are analyzed through graphs and numerical values. The results revealed that a rise in nanoparticles volume fraction boosts the friction drag coefficient and shows a declining trend toward thermal transfer. Furthermore, for the first solution, the skin friction coefficient and heat transfer rate rise as the suction strength increases. In addition, raising the magnetic parameter value enhances the flow field while reducing the fluid temperature.

Keywords

• Hybrid Al2O3-Ag/H2O nanomaterial
• Darcy Forchheimer model
• Viscous dissipation
• Heat generation/absorption
• Local similar solution