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Navier’s Slip Effect on Mixed Convection Flow of Non-Newtonian Nanofluid: Buongiorno’s Model with Passive Control Approach

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Abstract

This article is devoted to the study of Navier’s slip effect on MHD mixed convection boundary layer flow of non-Newtonian nanofluid over a stretching surface. The flow is induced due to the continuously stretching surface. The mathematical modeling of the flow situation, is governed by Buongiorno’s nanofluid model with passively controlled nanoparticle boundary condition. To analyze the flow field behavior, the similarity transformation approach is adopted. The approximate similar solution of the problem is obtained using finite element method. Effects of active flow parameters on the quantities of engineering interests viz. skin friction coefficient, Nusselt number and flow variables viz velocity, temperature and nanoparticle concentration, are presented graphically. The Numerical results of the present investigation are validated with earlier published results. The findings suggest that the velocity slip plays a vital role in skin friction coefficient and Nusselt number of non-Newtonian nanofluid. It has been observed that the Brownian diffusion does not have very promising impact on Nusselt number as compared to results obtained in previous studies with active control of wall nanoparticles. The potential application of present investigation are in various industrial manufacturing processes such as cooling and/or drying of textile and paper, rolling sheet drawn from a die, manufacturing of crystalline materials, polymeric sheets, glass sheets, etc.

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Abbreviations

a :

Constant parameter (\(\hbox {s}^{-1}\))

A :

Rate of strain tensor (\(\hbox {s}^{-1}\))

b :

\(=\left( b_{x} ,b_{y} ,0\right) \) body force vector (N)

B :

Magnetic field (\(\hbox {kg}\,\hbox {s}^{-2}\,\hbox {A}^{-1}\))

\(\mathrm{Bi}\) :

Biot number

\(Cf_{x}\) :

Local skin friction coefficient

\(D_{B}\) :

Brownian diffusion coefficient (\(\hbox {m}^{2}\,\hbox {s}^{-1}\))

\(D_{T}\) :

Thermophoretic diffusion coefficient (\(\hbox {m}^{2}\,\hbox {s}^{-1}\))

f :

Dimensionless stream function

g :

Gravitational acceleration (\(\hbox {m}\,\hbox {s}^{-2}\))

\(Gr_{x}\) :

Grashof number

h :

Element size (m)

\(h_{f}\) :

Coefficient of convective heat transfer (\(\hbox {W}\,\hbox {m}^{-2}\,\hbox {K}^{-1}\))

I :

Unit tensor

k :

Thermal conductivity (\(\hbox {W}\,\hbox {m}^{-1}\,\hbox {K}^{-1}\))

\(k^{*}\) :

Rosseland mean absorption coefficient (\(\hbox {m}^{-1}\))

\(k_{0}\) :

First order coefficient of short relaxation (\(\hbox {kg}\,\hbox {m}^{-1}\))

L :

Velocity slip factor (m)

M :

Magnetic parameter

Nb :

Brownian motion parameter

Nt :

Thermophoresis parameter

p :

Pressure (Pa)

\(Nu_{x}\) :

Local Nusselt number

\(\Pr \) :

Prandtl number

\(\Pr _{eff}\) :

Effective Prandtl number

\(q_{r}\) :

Radiative heat flux (\(\hbox {W}\,\hbox {m}^{-2}\))

\(q_{s}\) :

Surface heat flux (\(\hbox {W}\,\hbox {m}^{-2}\))

R :

Radiation parameter

\(Re_{x}\) :

Local Reynolds number

s :

Dimensionless nanoparticle volume fraction

T :

Temperature (K)

\(T_{s}\) :

Temperature of the left side of surface (K)

\(T_{\infty }\) :

Temperature in free stream (K)

t :

Time (s)

\(u_{s}\) :

Stretching sheet velocity (\(\hbox {m}\,\hbox {s}^{-1}\))

\(u_{\mathrm{slip}}\) :

Slip velocity (\(\hbox {m}\,\hbox {s}^{-1}\))

V :

\(=\left( u,v,0\right) \) Velocity vector (\(\hbox {m}\,\hbox {s}^{-1}\))

x, y :

Cartesian coordinate axes (m)

\(\alpha \) :

Viscoelasticity parameter

\(\alpha _{m}\) :

Thermal diffusivity (\(\hbox {m}^{2}\,\hbox {s}^{-1}\))

\(\beta \) :

Thermal expansion coefficient (\(\hbox {K}^{-1}\))

\(\gamma \) :

Velocity slip parameter

\(\Upsilon \) :

Cauchy stress tensor (Pa)

\(\sigma \) :

Electrical conductivity (\(\hbox {S}\,\hbox {m}^{-1}\))

\(\rho \) :

Density (\(\hbox {kg}\,\hbox {m}^{-3}\))

\(\lambda \) :

Thermal buoyancy parameter

\(\phi \) :

Nanoparticle volume fraction

\(\lambda ^{*}\) :

Nanoparticle buoyancy force

\(\left( \rho C_{p} \right) _{np}\) :

Specific heat capacity of nanoparticles (\(\hbox {J}\,\hbox {K}^{-1}\))

\(\left( \rho C_{p} \right) _{nf}\) :

Specific heat capacity of the nanofluid (\(\hbox {J}\,\hbox {K}^{-1}\))

\(\theta \) :

Dimensionless temperature

\(\upsilon \) :

Kinematic coefficient of viscosity (\(\hbox {m}^{2}\,\hbox {s}^{-1}\))

\(\psi \) :

Stream function (\(\hbox {m}^{2}\,\hbox {s}\))

\(\eta \) :

Similarity variable

\(\mu \) :

Dynamic viscosity (\(\hbox {kg}\,\hbox {m}^{-1}\hbox {s}^{-1}\))

\(\sigma ^{*}\) :

Stefan Boltzmann constant (\(\hbox {W}\,\hbox {m}^{-2}\,\hbox {K}^{-4}\))

\(\tau _{s}\) :

Surface shear stress (\(\hbox {kg}\,\hbox {m}^{-1}\,\hbox {s}^{-2}\))

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Authors and Affiliations

  1. Department of Mathematics, VIT-AP University, Amaravati, Andhra Pradesh, 522237, India

    M. K. Mishra

  2. Department of Applied Mathematics, Indian Institute of Technology (ISM), Dhanbad, Jharkhand, 826004, India

    G. S. Seth

  3. Department of Mathematics, GITAM, Bengaluru, Karnataka, 562163, India

    R. Sharma

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Mishra, M.K., Seth, G.S. & Sharma, R. Navier’s Slip Effect on Mixed Convection Flow of Non-Newtonian Nanofluid: Buongiorno’s Model with Passive Control Approach. Int. J. Appl. Comput. Math 5, 107 (2019). https://doi.org/10.1007/s40819-019-0686-z

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