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Fractional simulation for Darcy-Forchheimer hybrid nanoliquid flow with partial slip over a spinning disk

Articolo
Data di Pubblicazione:
2021
Citazione:
Fractional simulation for Darcy-Forchheimer hybrid nanoliquid flow with partial slip over a spinning disk / Li, Y.-X., Muhammad, T., Bilal, M., Khan, M.A., Ahmadian, A., Pansera, B.A.. - In: ALEXANDRIA ENGINEERING JOURNAL. - ISSN 1110-0168. - 60:5(2021), pp. 4787-4796. [10.1016/j.aej.2021.03.062]
Abstract:
The present effort elaborates the fractional analyses for Darcy-Forchheimer hybrid nanoliquid flow over a porous spinning disk. Temperature and concentration slip conditions are utilized at the surface of the spinning disk. A specific type of nanoparticles known as Silver-Ag and Magnesium-oxide MgO is added to the base fluid, to synthesis the hybrid nanoliquid. By using Karman's approach, the system of partial differential equations is depleted into a dimensionless system of differential equations. The obtained equations are further diminished to the first-order differential equation via selecting variables. To develop the fractional solution, the proposed model has been set up by Matlab fractional code Fde12. For accuracy and validity of the resulting framework, the outputs are compared with the fast-approaching numerical Matlab scheme boundary value solver (bvp4c). The impact of several flow constraints versus velocity, mass and thermal energy profiles have been portrayed and discussed. Magnesium oxide MgO compound is consists of Mg2+ and O2− ions, together bonded by a strong ionic bond, which can be synthesized by pyrolysis of magnesium hydroxide Mg (OH) 2 and MgCO3 (magnesium carbonate) at a very high temperature (700–1500 °C). It is more convenient for refractory and electrical applications. Similarly, the antibacterial upshots of silver Ag nano-size particles could be used to manage bacterial growth in several applications, such as dental work, burns and wound treatment, surgery applications and biomedical apparatus.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Li, Y. -X.; Muhammad, T.; Bilal, M.; Khan, M. A.; Ahmadian, A.; Pansera, B. A.
Autori di Ateneo:
Pansera Bruno Antonio
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/119552
Link al Full Text:
https://iris.unirc.it//retrieve/handle/20.500.12318/119552/240621/Pansera_2021_AEJ_Fractional%20simulation_editor.pdf
Pubblicato in:
ALEXANDRIA ENGINEERING JOURNAL
Journal
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https://www.sciencedirect.com/science/article/pii/S1110016821002283?via=ihub
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