Application of fractional derivatives in a Darcy medium natural convection flow of MHD nanofluid

Nanofluid thermophysical characteristics are critical for predicting heat transfer behavior. This attempt provides a computational assessment of boundary layer flow and heat transfer behavior of fractional Maxwell viscoelastic nanofluid and their hybrids over a permeable vertical surface. The effect...

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Vydané v:Ain Shams Engineering Journal Ročník 14; číslo 9; s. 102093
Hlavní autori: Khan, Mumtaz, Rasheed, Amer, Anwar, Muhammad Shoaib, Hussain Shah, Syed Touqeer
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.09.2023
Elsevier
Predmet:
Darcy medium
Distributed order fractional derivative
Nanofluid
Natural Convection
Numerical algorithm
Distributed order fractional derivative
Natural Convection
Nanofluid
Darcy medium
Numerical algorithm
ISSN:2090-4479
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Shrnutí:Nanofluid thermophysical characteristics are critical for predicting heat transfer behavior. This attempt provides a computational assessment of boundary layer flow and heat transfer behavior of fractional Maxwell viscoelastic nanofluid and their hybrids over a permeable vertical surface. The effects of Lorents and buoyancy forces are also considered in the flow region. The flow problem is modeled with novel distributed order time fractional derivatives to achieve control of the flow and heat transfer. Mid-point quadrature approach is used to process the distributed order integrals, whereas nonlinear coupled time fractional derivatives are discretized through the finite difference method along withL1- algorithm. The results shows that heat transfer rate enhanced 56.51% by enhancing the thermal Grashof number. Further, increase in nanoparticles volume fraction causes enhancement in thermal conductivity. More effects of the flow characteristic on velocity and temperature fields are shown graphically and analyzed in detail. The involvement of novel distributed fractional order derivatives, and nanoparticles enhanced the importance of the simulated results, which can be helpful to effectively control related thermal engineering issues, like temperature management in internal combustion engines, cooling devices, and heat exchangers.
ISSN:2090-4479
DOI:10.1016/j.asej.2022.102093