Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

chemical engineering

Numerical simulation of a thermally enhanced EMHD flow of a heterogeneous micropolar mixture comprising (60%)-ethylene glycol (EG), (40%)-water (W), and copper oxide nanomaterials (CuO)

Case Studies in Thermal Engineering, Volume 35, Article 102046, Year 2022

In the past decades, the thermal and rheological properties of nanofluids have attracted much attention from many investigators due to their numerous applications as promising enhanced working fluids. The present numerical analysis intended to evidence the main hydro-thermal and mass transport appearances featuring the convective flows of an exceptional non-homogeneous micropolar mixture (i.e., 60% of ethylene glycol, 40% of pure water, and copper oxide nanomaterials) over an impermeable horizontal electromagnetic surface (i.e., Riga plate), which is heated convectively in the presence of a particular variable heat source. For this purpose, several admissible physical theories and hypotheses are adopted herein to derive the foremost conservation equations based on the renovated Buongiorno's formulation and some more realistic boundary conditions. Further, the leading partial differential equations (PDEs) are transformed into a system of ordinary differential equations (ODEs), which are tacked thereafter numerically using an efficient GDQNRM procedure. After performing multiple validations with the recent literature results, the aspects of the studied EMHD convective micropolar nanofluid flow are spotted accordingly and then discussed comprehensively via multiple figures and tables. As prominent results, it is found that the micropolarity and electrically conducting trends of the nanofluidic medium play an important role in the hastening of the nanofluid motion. Also, it is explored that the thermally enhancing influence of the thermophoresis diffusive mechanism can be reinforced more by the existence of an internal heat source along with an appropriate convective heating process.
Statistics
Citations: 78
Authors: 5
Affiliations: 6
Research Areas
Environmental