Dual thermal analysis of magnetohydrodynamic flow of nanofluids via modern approaches of Caputo–Fabrizio and Atangana–Baleanu fractional derivatives embedded in porous medium

This manuscript investigates the temperature difference versus temperature or time and the effects of newly introduced fractional operators, namely Caputo–Fabrizio and Atangana–Baleanu fractional derivatives, on the magnetohydrodynamic flow of nanofluid in a porous medium. Three different types of nanoparticles are suspended in ethylene glycol, namely titanium oxide, copper and aluminum oxide. The mathematical modeling of the governing equations is developed by the modern fractional derivatives. The general solutions for velocity field and temperature distribution have been established by invoking Laplace transforms, and obtained solutions are expressed in terms of special functions, namely Fox-H function $${\mathbf{H}}_{\upalpha ,\upbeta + 1}^{1,\alpha } \left( F \right)$$Hα,β+11,αF and $${\mathbf{M}}_{\upbeta ,\upgamma }^{\alpha } \left( F \right)$$Mβ,γαF Mittag-Leffler functions. Dual solutions have been analyzed by graphical illustrations for the influence of pertinent parameters on the motion of a fluid. The base fluid and three different types of nanoparticles have intersecting similarities and differences in the heat transfer and fluid flows. The results show the reciprocal behavior of different types of nanoparticles which are suspended in ethylene glycol via Caputo–Fabrizio and Atangana–Baleanu fractional operators.

[1]  M. Caputo,et al.  A new Definition of Fractional Derivative without Singular Kernel , 2015 .

[2]  Jong-Ping Hsu,et al.  Thim’s experiment and exact rotational space-time transformations , 2014, 1401.8282.

[3]  Mohsen Sheikholeslami,et al.  Forced convection of nanofluid in presence of constant magnetic field considering shape effects of nanoparticles , 2017 .

[4]  Andrzej Luczak,et al.  Maximum Entropy Models for Quantum Systems , 2016, Entropy.

[5]  et al. Abro Analytical solution of magnetohydrodynamics generalized Burger’s fluid embedded with porosity , 2017 .

[6]  Mohammad Mehdi Rashidi,et al.  The modified differential transform method for investigating nano boundary‐layers over stretching surfaces , 2011 .

[7]  Syed Tauseef Mohyud-Din,et al.  Magnetohydrodynamic Flow and Heat Transfer of Nanofluids in Stretchable Convergent/Divergent Channels , 2015 .

[8]  Davood Domiri Ganji,et al.  Three dimensional heat and mass transfer in a rotating system using nanofluid , 2014 .

[9]  N. Khan,et al.  Helices of fractionalized Maxwell fluid , 2015 .

[10]  Navid Freidoonimehr,et al.  Unsteady MHD free convective flow past a permeable stretching vertical surface in a nano-fluid , 2015 .

[11]  Abdon Atangana,et al.  On the new fractional derivative and application to nonlinear Fisher's reaction-diffusion equation , 2016, Appl. Math. Comput..

[12]  Naveed Ahmed,et al.  Heat transfer effects on carbon nanotubes suspended nanofluid flow in a channel with non-parallel walls under the effect of velocity slip boundary condition: a numerical study , 2015, Neural Computing and Applications.

[13]  Mohammad Mehdi Rashidi,et al.  Entropy generation in steady MHD flow due to a rotating porous disk in a nanofluid , 2013 .

[14]  et al. Laghari Helical flows of fractional viscoelastic fluid in a circular pipe , 2017 .

[15]  A. Atangana,et al.  Generalized groundwater plume with degradation and rate-limited sorption model with Mittag-Leffler law , 2017 .

[16]  Mukkarum Hussain,et al.  An analytic study of molybdenum disulfide nanofluids using the modern approach of Atangana-Baleanu fractional derivatives , 2017 .

[17]  Mohammad Ali Ahmadi,et al.  A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach , 2018, Journal of Thermal Analysis and Calorimetry.

[18]  I. Khan,et al.  Analysis of the heat and mass transfer in the MHD flow of a generalized Casson fluid in a porous space via non-integer order derivatives without a singular kernel , 2017 .

[19]  Mohammad Mehdi Rashidi,et al.  DTM- Padé Modeling of Natural Convective Boundary Layer Flow of a Nanofluid Past a Vertical Surface , 2011 .

[20]  Mohsen Sheikholeslami,et al.  Natural convection flow of a non-Newtonian nanofluid between two vertical flat plates , 2011 .

[21]  Mohsen Sheikholeslami,et al.  Influence of Lorentz forces on nanofluid flow in a porous cylinder considering Darcy model , 2017 .

[22]  Ilknur Koca,et al.  Chaos in a simple nonlinear system with Atangana-Baleanu derivatives with fractional order , 2016 .

[23]  K. A. Abro,et al.  A Mathematical Analysis of Magnetohydrodynamic Generalized Burger Fluid for Permeable Oscillating Plate , 2018 .

[24]  Ali Saleh Alshomrani,et al.  Comparison and analysis of the Atangana–Baleanu and Caputo–Fabrizio fractional derivatives for generalized Casson fluid model with heat generation and chemical reaction , 2017 .

[25]  I. Khan,et al.  Unsteady boundary layer MHD free convection flow in a porous medium with constant mass diffusion and Newtonian heating , 2014 .

[26]  Dumitru Baleanu,et al.  Caputo-Fabrizio Derivative Applied to Groundwater Flow within Confined Aquifer , 2017 .

[27]  Asifa Tassaddiq,et al.  Atangana-Baleanu and Caputo Fabrizio Analysis of Fractional Derivatives for Heat and Mass Transfer of Second Grade Fluids over a Vertical Plate: A Comparative Study , 2017, Entropy.

[28]  Davood Domiri Ganji,et al.  Magnetohydrodynamic free convection of Al2O3–water nanofluid considering Thermophoresis and Brownian motion effects , 2014 .

[29]  J. Buongiorno Convective Transport in Nanofluids , 2006 .

[30]  Ilyas Khan,et al.  Application of Caputo-Fabrizio derivatives to MHD free convection flow of generalized Walters’-B fluid model , 2016 .

[31]  Ilyas Khan,et al.  UNSTEADY MHD FLOW OF SOME NANOFLUIDS PAST AN ACCELERATED VERTICAL PLATE EMBEDDED IN A POROUS MEDIUM , 2016 .

[32]  Zulfiqar Ali Zaidi,et al.  On heat and mass transfer analysis for the flow of a nanofluid between rotating parallel plates , 2015 .

[33]  M. Sheikholeslami Magnetic field influence on CuO–H2O nanofluid convective flow in a permeable cavity considering various shapes for nanoparticles , 2017 .

[34]  Mohammad Hossein Ahmadi,et al.  Experimental investigation of graphene oxide nanofluid on heat transfer enhancement of pulsating heat pipe , 2018 .

[35]  Ilyas Khan,et al.  A Note on New Exact Solutions for Some Unsteady Flows of Brinkman- Type Fluids over a Plane Wall , 2012 .

[36]  Mohsen Sheikholeslami,et al.  Active method for nanofluid heat transfer enhancement by means of EHD , 2017 .

[37]  Ilyas Khan,et al.  MHD flow of water-based Brinkman type nanofluid over a vertical plate embedded in a porous medium with variable surface velocity, temperature and concentration , 2016 .

[38]  Mohammad Ali Ahmadi,et al.  Thermal conductivity ratio prediction of Al2O3/water nanofluid by applying connectionist methods , 2018 .

[39]  Mohammad Mehdi Rashidi,et al.  Analytical method for solving steady MHD convective and slip flow due to a rotating disk with viscous dissipation and Ohmic heating , 2012 .

[40]  Stephen U. S. Choi Enhancing thermal conductivity of fluids with nano-particles , 1995 .

[41]  Syed Tauseef Mohyud-Din,et al.  Thermo-diffusion effects on MHD stagnation point flow towards a stretching sheet in a nanofluid , 2014 .

[42]  Rahmat Ellahi,et al.  Effects of MHD on Cu–water nanofluid flow and heat transfer by means of CVFEM , 2014 .

[43]  Mohammad Mehdi Rashidi,et al.  Mixed Convective Heat Transfer for MHD Viscoelastic Fluid Flow over a Porous Wedge with Thermal Radiation , 2014 .

[44]  Ilyas Khan,et al.  Convection in ethylene glycol-based molybdenum disulfide nanofluid , 2018, Journal of Thermal Analysis and Calorimetry.

[45]  Zafar Hayat Khan,et al.  Flow and heat transfer analysis of water and ethylene glycol based Cu nanoparticles between two parallel disks with suction/injection effects , 2016 .

[46]  A. Atangana,et al.  New Fractional Derivatives with Nonlocal and Non-Singular Kernel: Theory and Application to Heat Transfer Model , 2016, 1602.03408.