| Literature DB >> 36241647 |
Showkat Ahmad Lone1, Maryam Ahmed Alyami2, Anwar Saeed3, Abdullah Dawar4, Poom Kumam5,6, Wiyada Kumam7.
Abstract
Hybrid nanofluids play a significant role in the advancement of thermal characteristics of pure fluids both at experimental and industrial levels. This work explores the mixed convective MHD micropolar hybrid nanofluid flow past a flat surface. The hybrid nanofluid flow is composed of alumina and silver nanoparticles whereas water is used as a base fluid. The plate has placed vertical in a permeable medium with suction and injection effects. Furthermore, viscous dissipation, thermal radiation and Joule heating effects are taken into consideration. Specific similarity variables have been used to convert the set of modeled equations to dimension-free form and then has solved by homotopy analysis method (HAM). It has revealed in this investigation that, fluid motion upsurge with growth in magnetic field effects and mixed convection parameter and decline with higher values of micropolar factor. Micro-rotational velocity of fluid is upsurge with higher values of micropolar factor. Thermal flow behavior is augmenting for expended values of magnetic effects, radiation factor, Eckert number and strength of heat source. The intensification in magnetic strength and mixed convection factors has declined the skin friction and has upsurge with higher values of micropolar parameter. The Nusselt number has increased with the intensification in magnetic effects, radiation factor and Eckert number.Entities:
Year: 2022 PMID: 36241647 PMCID: PMC9568667 DOI: 10.1038/s41598-022-21255-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1Flow geometry.
Numerical values of thermophysical properties for water and nanoparticles[59].
| Material | Water | Ag | Al2O3 |
|---|---|---|---|
| 997.1 | 10,500 | 3970 | |
| 4179 | 235 | 765 | |
| 0.613 | 429 | 40 | |
| 21 × 10–5 | 1.89 × 10–5 | 8.5 × 10–6 | |
| 0.05 | 6.30 × 107 | 1 × 10–10 | |
| 6.2 | – | – |
Figure 2(a) -curve of . (b) -curve of . (c) -curve of .
Figure 3Impact of upon .
Figure 4Impact of upon .
Figure 5Impact of upon .
Figure 6Impact of upon .
Figure 7Impact of upon
Figure 8Impact of upon .
Figure 9Impact of on .
Figure 10Impact of on .
Figure 11Impact of on .
Figure 12Impact of on .
Figure 13Impact of on .
Figure 14Streamlines patterns for and .
Comparison of with published results of Zaib et al.[61], when and all other parameters are zero.
| Zaib et al.[ | Present results | |
|---|---|---|
| 0.7 | 1.7063 | 1.7063 |
| 1.0 | 1.6754 | 1.6754 |
| 7.0 | 1.5179 | 1.5179 |
| 10.0 | 1.4928 | 1.4928 |
Influences of , and on .
| 0.5 | − 0.274370 | ||
| 1.0 | − 0.345012 | ||
| 1.5 | − 0.415654 | ||
| 2.0 | − 0.486296 | ||
| 0.1 | − 0.246938 | ||
| 0.2 | − 0.253796 | ||
| 0.3 | − 0.260654 | ||
| 0.4 | − 0.267512 | ||
| 0.1 | 0.216446 | ||
| 0.2 | 0.256543 | ||
| 0.3 | 0.290717 | ||
| 0.4 | 0.318968 |
Influences of , , and on .
| 0.5 | 0.290790 | |||
| 1.0 | 0.350868 | |||
| 1.5 | 0.410947 | |||
| 2.0 | 0.471025 | |||
| 0.1 | 0.290790 | |||
| 0.3 | 0.295220 | |||
| 0.5 | 0.299650 | |||
| 0.7 | 0.304079 | |||
| 1.0 | 0.539396 | |||
| 2.0 | 1.036606 | |||
| 3.0 | 1.533817 | |||
| 4.0 | 2.031028 | |||
| 1.1 | 0.284866 | |||
| 1.2 | 0.290790 | |||
| 1.3 | 0.290790 | |||
| 1.4 | 0.302638 |