4.3 Article

Numerical study of heat transport mechanism in hybrid nanofluid [(Cu-Al2O3)/water] over a stretching/shrinking porous wedge

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/09544089221107981

Keywords

Heat transfer; hybrid nanofluids; porous wedge; (Cu-Al2O3) hybrid nanoparticle; suction/injection

Ask authors/readers for more resources

The numerical exploration of the dynamics of hybrid type nanofluid (Cu-Al2O3)/water over a stretching/shrinking porous wedge was performed. The results showed that stretching/shrinking and suction/injection parameters have a significant influence on the velocity field, especially at the wedge surface. Further study revealed that the hybrid nanofluid has better conductive characteristics than normal fluid and the temperature drops prominently during wedge stretching.
The numerical exploration of the dynamics of hybrid type nanofluid (Cu-Al2O3)/water over a fascinating domain of stretching/shrinking porous wedge is performed. The problem is designed and studied numerically by fluctuating the flow parameters. From the results, dominant behavior of stretching/shrining and suction/injection parameters observed on the velocity field. These are prominent at the wedge surface due to significant influence of suction/injection and stretchable characteristics of wedge. Further study revealed that (Cu-Al2O3)/water has better conductive characteristics than normal Cu/water due to optimum dominant thermophysical values of hybrid nanoparticles. The temperature drops prominently for lambda with stretching of wedge. Further, injecting fluid from the wedge surface favors the temperature variations. Finally, the results aligned with published data under certain feasible conditions and found that the conducted study is valid.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available