Citation
Abstract
Fluid flow over a biaxial stretching/shrinking surface may arise in fiber production and wrapping processes. The current study considered the three-dimensional flow of a hybrid nanofluid past a biaxial stretching/shrinking sheet with thermal radiation and suction. This flow problem is translated into nonlinear partial differential equations and boundary conditions. After similarity transformations, the numerical computations are conducted using the bvp4c solver. The calculation yielded dual solutions that prompted a stability analysis, demonstrating that only the first solution is stable and significant. Cu-Al2O3/H2O hybrid nanofluid produced the highest temperature profile compared to Cu/H2O and Al2O3/H2O nanofluids. As observed from this study, a further increase in the temperature profile of the hybrid nanofluid can be achieved by enhancing the shrinking and radiation parameters. Meanwhile, the magnitude of the skin friction coefficient and heat transfer rate rises with the suction parameter. At the same time, the suction parameter reduces the thickness of the momentum and thermal boundary layers. Then, response surface methodology (RSM) is used to develop a correlation between the response, Nusselt number, Re− 1/2 x Nux, and governing parameters of the problem. The RSM suggested that the suction parameter positively affects the heat transfer rate. However, the opposite behavior is observed for the nanoparticle volume fraction of Cu and Al2O3. The heat transfer rate is estimated to be optimized at 6.02216 when ϕCu = ϕAl2O3 = 0.02 and S = 3.0.
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Science Institute for Mathematical Research Centre of Foundation Studies for Agricultural Science |
DOI Number: | https://doi.org/10.1016/j.cjph.2023.06.003 |
Publisher: | Elsevier BV |
Keywords: | Biaxial stretching/shrinking sheet; Hybrid nanofluid; Radiation; Stability analysis; Response surface methodology; Quality education |
Depositing User: | Ms. Zaimah Saiful Yazan |
Date Deposited: | 11 Sep 2024 06:54 |
Last Modified: | 11 Sep 2024 06:54 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.cjph.2023.06.003 |
URI: | http://psasir.upm.edu.my/id/eprint/108223 |
Statistic Details: | View Download Statistic |
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