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Effects of MHD on Modified Nanofluid Model with Variable Viscosity in a Porous Medium

By Sohail Nadeem and Nadeem Abbas

Submitted: September 26th 2018Reviewed: January 9th 2019Published: May 7th 2019

DOI: 10.5772/intechopen.84266

Downloaded: 228

Abstract

A computational simulation for two-dimensional steady flow of modified nanofluid over an exponential stretching surface in a porous medium with magnet hydrodynamics and variable viscosity is presented in this study. Modified nanofluids are generalization of both hybrid nanofluids and simple nanofluids. Here, we consider three nanoparticles which drastically enhance the thermal conductivity of nanofluid. The viscous model associated with variable viscosity and MHD flow is employed. Well-known similarity transformations are utilized to convert the partial differential equations to system of ordinary differential equations. These converted equations are solved by utilizing the numerical technique Runge–Kutta-Fehlberg method. The impacts of variable viscosity, porosity parameter, Nusselt number, thermal and velocity slip, skin friction coefficient, solid nanoparticle, and magnetic field are observed. The computational results accomplished in the present investigation are validated and felt to be a good agreement with decayed results. It is highlighted that modified nanofluid model enhances the heat transfer rate much higher than the case of hybrid nanofluid and simple nanofluid model.

Keywords

  • variable viscosity
  • exponential stretching
  • modified nanofluid
  • MHD
  • porous medium
  • shooting method

1. Introduction

Porous medium is one of the most useful studies due to its applications in the industry and medical sciences. In the medical sciences, it is used in the transport process in the human lungs and kidneys, gall bladder in the presence of stone, clogging in arteries, and also little blood vessels which cannot be opposed. There are several examples of the naturally porous medium such as limestone, wood, seepage of water in river beds, etc. Many researchers are interested to discuss the porous medium due to scientific and technically importance such as earth’s science and metallurgy. Such kinds of the flow are analyzed at low Reynolds number in the presence of porous space theoretically. Few researchers were analyzed analytically and experimentally on the porous medium with respect to different aspects (see [1, 2, 3]). Recently, the Carreau fluid flow over porous medium in the presence of pressure-dependent viscosity has been discussed by Malik et al. [4]. Some significant results are analyzed on the porous medium for Newtonian fluids and non-Newtonian fluids with respect to different aspects (see [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]) (Figure 1).

Figure 1.

Flow pattern of modified nanofluid.

In the depth study, flow phenomenon focusing on the variable viscosity and exponentially stretching surface is an important rule in the study of fluid mechanics and has attracted the investigators after its valuable applications in the industry as well as flows detected over the tip of submarine and aircrafts. Numerous methods have been established in recent past years to enhance the fluid thermal conductivity which is suspended with micro−/nano-sized particle mix with base fluid. The nanoparticle possesses chemical and physical properties uniquely because it has been used widely in nanotechnology. The nano-sized particle which is suspended with fluid is called nanofluid. Many investigators investigate about the enhancement of thermal conductivity [16, 17, 18, 19, 20] by using the nano-sized particles.

Several experiments have been done in two types of the particles suspended in the base fluid, namely, “hybrid nanofluid.” Basically, such type of fluids is enhances thermal conductivity which was proven through experimental research. Suresh et al. [21, 22] were the first to discuss the idea of hybrid nanofluid through their experimental and numerical results. According to their views, the hybrid nanofluid boosts the heat transfer rate at the surface as compared to nanofluid and simple fluid. These results open a new horizon to the researchers to do a work in the field of hybrid nanofluid. Baghbanzadeh et al. [23] also discussed about the mixture of multiwall/spherical silica nanotube hybrid nanostructures and analysis of thermal conductivity of associated nanofluid. The analysis of Al2O3MWCNTs with base fluid water and their thermal properties are discussed by Nine et al. [24]. According to them [24], spherical particles with hybrid nanofluid reveal a bit increment in thermal conductivity as related to cylindrical-shaped particle. The hybrid nanofluids are considered experimentally and theoretically by a number of the researchers [25, 26, 27, 28].

The physical characteristics of hybrid nanofluid and nanofluid are usually considered constant. It is prominent that the significant physical characteristics of nanofluid and hybrid nanofluid can vary with temperature. For lubricating fluids, heat generated by the internal friction and the corresponding rise in temperature affects the viscosity of the fluid and so the fluid viscosity can no longer be assumed constant. The increase of temperature leads to a local increase in the transport phenomena by reducing the viscosity across the momentum boundary layer and so the heat transfer rate at the wall is also affected. The impact of thermal radiation and dependent viscosity of fluid on free convective and heat transfer past a porous stretching surface were discussed by Mukhopadhyay and Layek [29]. They gain some significant results for the variable viscosity on the temperature profile and velocity profile. The velocity profile increases and temperature profile decreases for large values of the variable viscosity parameter. The existing literature survey on the variable fluid characteristics and hybrid nanofluid [30, 31, 32, 33] reveals that the work is not carried out for hybrid nanofluid over an exponentially stretching surface.

The investigation about the stretching surface has attracted the interest of scientists because of its several applications in the fields of engineering including glass blowing, cooling of microelectronics, quenching in metal foundries, wire drawing, polymer extrusion, rapid spray, etc. Crane [34] discussed about the theoretical boundary layer flow over stretching surface. Various researchers analyzed the exponentially stretching surface [35, 36, 37, 38], major applications in the industry and technology.

Here, we study the temperature-dependent viscosity effects on the modified nanofluid flow over an exponentially stretching porous medium in the presence of MHD and Biot number. It is highlighted here that the idea of modified nanofluid has been proposed by us from whom the hybrid nanofluid and simple nanofluid cases can be recovered as a special case. The temperature depends on the Biot number, nanoparticle, and variable viscosity. The system of the flow is illustrated in the form of partial differential equations (PDEs). The system of PDEs is converted into the form of ordinary differential equations (ODEs) by utilizing acceptable similarity transformations. These nonlinear ODEs are solved “numerically” through MATLAB built-in technique. The outcomes are represented through table and graphs.

2. Flow formulation

Investigation of steady laminar flow of two-dimensional electrically conducting modified nanofluid over exponentially stretching surface in the presence of variable viscosity has been taken into consideration which is revealed in Figure 1.

The fluid flows in the x-direction and is maintains at a constant wall temperature Tw. The working fluid is water-based modified nanofluid involving with different types of solid particles (Al2O2,CuandNi) while these particles having nanosized. These three particles are suspended with base fluid water. Some assumptions of these solid particles are following in this study like as negligible internal heat generation, incompressible flow, negligible radiative heat transfer and no chemical reaction. The thermophysical characteristics of modified nanofluid are represented in Table 1.

Thermophysical propertiesFluidphasewaterAl2O3CuNi
Cpj/kgK4179765385444
ρkg/m³997.1397089338900
kW/mK0.6134040090.7

Table 1.

Numerical values of nanoparticles and water.

Under these assumptions with the usual boundary layer approximation, the governing differential equations of mass, momentum, and energy for the problem under consideration are defined as follows:

ux+vy=0,E1
uux+vuy=1ρmnfyμmnfuyσB°2ρmnfuνmnfRu,E2
uTx+vTy=αmnf2Ty2,E3

The appropriated boundary conditions are stated as

uUw,kmnfTy=hTwT,asy0,E4
u0,TT,asy,

where uand vare the fluid velocity components in the xand ydirections, respectively, Tis the fluid temperature, U0is denoted as the stream velocity, and Trepresents as the temperature of the fluid far away from the surface. The thermophysical properties of nanofluid, hybrid nanofluid, and modified nanofluid are represented in Tables 2 and 3.

PropertiesNanofluidHybrid nano-fluid
Densityρnf=1Φρf+Φρsρnf={1Φ21Φ1ρf}+Φ1ρs1+Φ2ρs2
Heat capacityρCpnf=1ΦρCpf+ΦρCpsρCphnf=1Φ21Φ1ρCpf+Φ1ρCps1+Φ2ρρCps2
Viscosityμnf=μf1Φ2.5μhnf=μf1Φ12.51Φ22.5
Thermal conductivityκnfκf=κs+n1κfn1Φκfκsκs+n1κf+Φκfκsκhnfκbf=κs2+n1κbfn1Φ2κbfκs2κs2+n1κbf+Φ2κbfκs2
where κbfκf=κs1+n1κfn1Φ1κfκs1κs1+n1κf+Φ1κfκs1

Table 2.

Physical Properties of Nanofluid and Hybrid Nanofluid.

PropertiesModified nanofluid
Densityρmnf=1Φ31Φ21Φ1ρf+Φ1ρs1+Φ2ρs2+Φ3ρs3
Heat capacityρCpmnf=1Φ31Φ21Φ1ρCpf+Φ1ρCps1+Φ2ρCps2+Φ3ρCps3
Viscosityμmnf=μf1Φ32.51Φ12.51Φ22.5
Thermal conductivityκnfκf=κs1+n1κfn1Φ1κfκs1κs1+n1κf+Φ1κfκs1

κhnfκnf=κs2+n1κnfn1Φ2κnfκs2κs2+n1κnf+Φ2κnfκs2

κmnfκhnf=κs3+n1κhnfn1Φ3κhnfκs3κs3+n1κhnf+Φ3κhnfκs3

Table 3.

Physical Properties Modified Nanofluid.

An extraordinary type of physical characteristics is acquainted in the present examination to investigate the boundary layer equations for modified nanofluid. Modified nanofluid is deliberated through taking the combination of Al2O3and Cuwith base fluid water. The nanoparticles Al2O3and Cu(Φ1=0.05voland Φ2=0.05vol, respectively) are fixed throughout this problem. To make it ideal, the final type of the powerful thermophysical characteristics of (Al2O3/water) nanofluid, Al2O3Cu/waterhybrid nanofluid and (Al2O3CuNi/water) modified nanofluid, is assumed in Tables 2 and 3, while n = 3 is for spherical nanoparticles. Some subscripts are defined as following, solid nanoparticles of Al2O3, s2solid nanoparticles of the Cu, s3solid nanoparticles of Ni, ffor base fluid (water), nffor nanofluid, hnffor Hybrid nanofluid and mnffor modified nanofluid. The thermophysical characteristics of fluid are represented in Table 1 at 25°Cwhere Uw=U0exl,Tw=T+T0ex2l. The μfis the coefficient of the viscosity which is assumed to vary as an inverse function of temperature [23] as

1μ=1μf1+δTTr,E5

i.e., 1μf=aTTwhere a=δμfand Tr=T1δ.

u=U0exlfζ,v=νlRe2ex2l(fζ+ζfζ,E6
T=T+Twex2lθζ,ζ=ylRe2ex2l,E7

The mathematical model over exponentially stretching surface is chosen to allow the coupled non-linear partial differential equations are converted into coupled non-linear ordinary differential equations by using the suitable similarity transformation which is given above. Where ζis the similarity variable and θand fare the dimensionless temperature and velocity, respectively. Eq. (1) is directly satisfied by using the similarities which is called continuity equation. The momentum and energy equation are written as

f1θθe+fθθe1θθe21φ32.51φ22.51φ12.51φ31φ21φ1+φ1ρs1ρf+φ2ρs2ρf+φ3ρs3ρfβff+ffM2fβf=0,β=2;E8
κmnfκfθPr1φ31φ21φ1+φ1ρCps1ρCpf+φ2ρCps2ρCpf+φ3ρCps3ρCpfθf+θf=0E9

with boundary conditions

f0=1,f0=0,f=0E10
θ0=γkfkmnf1θ0,θ=0E11

3. Numerical solution method

Boundary layer heat transfer and modified nanofluid flow of an exponentially stretching surface with (Al2O3CuNi) under the assumption of dependent fluid viscosity, magnetic field, and thermal slip effects are computed here. The results of boundary layer problem are obtained numerically through bvp4c method. The notable highlights of the flow and heat transfer characteristics are achieved utilizing the modified nanofluid. Keeping in mind the end goal to get clear knowledge of the physical problem, the results are given through the physical parameter, namely, magnetic field (M), solid nanoparticle (Φ3) and thermal slip effects (Bi) and (θe). The numerical results are represented in the form of tables.

y1=fζ,
y2=fζ,
y3=fζ,
f(ζ)=(1y(4)θe){y(3)y(5)θe(1y(4)θe)2+(1φ3)2.5(1φ2)2.5(1φ1)2.5[(1φ3){(1φ2)(1φ1+φ1ρs1ρf)+φ2ρs2ρf}+φ3ρs3ρf]+2y(2)y(2)y(1)y(3)+M2y(2)},
y4=θζ,
y5=θζ,
θ=κfPr1φ31φ21φ1+φ1ρCps1ρCpf+φ2ρCps2ρCpf+φ3ρCps3ρCpfκmnfy5y1y4y2,

subject to the boundary conditions

y02=1,y01=0,yinf2=0,
y05=γkfkmnf1y04,yinf4=0.

For brevity, the points of interest of the solution strategy are not performed here. The heat transfer and modified nanofluid are effected by dependent viscosity parameter and MHD; the fundamental focus of our investigation is to bring out the impacts of these parameters by the numerical solution. It is worth specifying that we have utilized the information displayed in Tables 13 for the thermophysical properties of the fluid, nanofluid, hybrid nanofluid, modified nanofluid, and nanoparticles. Three types of the nanoparticles are used, namely, Al2O3, Cu, and Ni. The Nussle number and skin friction coefficient are the most important features of this study. For practical purposes, the functions θζand fζallow to determine the Nusselt number:

Nux=xkmnfkfTwT∂Txy∂yy=0,E12
NuxRex=kfkmnfθ0E13

and skin friction coefficient

Cf=μmnfρfuw2∂uxy∂yy=0,E14
CfRex=11φ32.51φ22.51φ12.511θe1f0.E15

Here, the local Reynolds number is Rex=xuwvf.

4. Numerical results

The impact of dependent viscosity parameter θeon the coefficient of skin friction and Nusselt number for negative values of θe(for liquids) and for positive values of θe(for gases) which reveals in Table 4. The variation of f″(0) and θ′(0) reveals that the same behavior to be noted for large values of θe.

Al2O3CuNi/waterAl2O3Ni/water
θef0θ0f0θ0
−10−1.98532−1.7779−1.90976−1.98809
−5−2.07138−1.77154−1.99315−1.98175
−1−2.65068−1.72622−2.55803−1.93639
−0.1−5.21601−1.49115−5.08404−1.69636
1−0.768213−1.85951−0.731972−2.06964
5−1.70487−1.79801−1.63866−2.00813
10−1.80225−1.79113−1.7327−2.00127

Table 4.

Computational results of Al2O3CuNi/waterand Al2O3Ni/water.

The computational results are shown in Table 5. The velocity of the flow decreases due to increase in the solid nanoparticle of Ni(Φ3), as well as skin fraction is decreased. This may be due to more collision between the suspended nanoparticles. The nanoparticles release the energy in the form of heat by physically. Adding more particles may exert more energy which increases the temperature while also thickness of the thermal boundary layer. The increment of solid nanoparticle accelerates the flow velocity which obviously declines the skin fraction which is shown in Table 5. It is also seen that θ0decreases due to increasing the solid nanoparticles (Ni(Φ3)). It is noted in Table 5 that the magnetic field parameter increases due to decrease in the velocity flow of the modified nanofluid. For the large values of the magnetic field, the dimensionless rate of heat transfer gains enhanced in the Modified nanofluid. A dimensionless quantity is the Biot number which compares the relative transport of internal and external resistances. The dimensionless f0and θ0increase for large values of the Biot numbers. The dimensionless of θ0gets decreases for the increment of Biot number while the dimensionless of f0gets increases for the increment of Biot number as shown in Table 5 for the modified nanofluid. The Biot number is directly proportional to the heat transfer coefficient. It is also seen that the variable viscosity parameter declines for enhancing the dimensionless f0of the modified nanofluid. It is also noted that the heat transfer rate declines due to increase in the variable viscosity parameter as shown in Table 5. Effects of porosity parameter on the f0and θ0are presented in Table 5. It is highlighted that f0increased for the higher values of the porosity parameter but had an opposite behavior to be highlighted for θ0. Figure 2 shows the impacts of comparative study of modified nanofluid, hybrid nanaofluid and simple nanofluid.

Figure 2.

Comparative results of Nanofluid, Hybrid nanofluid and Modified nanofluid on θζ.

Al2O3CuNi/waterAl2O3Ni/water
γBiMΦ3f0θ0f0θ0
0.0−1.50718−1.86066−1.44127−2.07585
0.5−1.6881−1.83996−1.61326−2.05562
1.0−1.8533−1.82077−1.77026−2.03689
0.50.0−1.58519−2.79411−1.52063−3.06462
0.2−1.6881−1.83996−1.61326−2.05562
0.4−1.73712−1.37364−1.65867−1.54835
0.20.0−1.50718−1.86066−1.44127−2.07585
0.5−1.6881−1.83996−1.61326−2.05562
1.0−1.8533−1.82077−1.77026−2.03689
0.50.005−1.6158−1.99761−1.5041−2.23451
0.04−1.6881−1.83996−1.61326−2.05562
0.08−1.74614−1.67941−1.70227−1.87409

Table 5.

Computational results of Al2O3CuNi/waterand Al2O3Ni/waterfixed at θe=0.5.

5. Graphical results

The temperature profile shows the variation of solid nanoparticle in Figure 3. The nanoparticle dissipates energy in the form of heat. So, the mixture of more nanoparticles may exert more energy which increases the thickness of the boundary layer and temperature.

Figure 3.

Impacts of Φ3 on temperature profile.

Figure 4 reveals the impacts of solid particle on velocity profiles. The velocity profile gets decelerated due to increase in solid nanoparticle for modified nanofluid. This phenomenon exists due to more collision with suspended nanoparticles.

Figure 4.

Impacts of Φ3 on velocity profile.

Figure 5 reveals the effects of magnetic field on the velocity profile. Being there, the transverse magnetic field creates Lorentz force which arises from the attraction of electric field and magnetic field during the motion of an electrically conducting fluid. The velocity profile decreases for the positive values of magnetic field parameter. Because the resisting force increases and consequently velocity declines in the xdirection with boundary layer thickness as the magnetic field parameter enhances for modified nanofluid.

Figure 5.

Impacts of M on the velocity profile.

Figure 6 reveals the variation of dimensionless quantity of Biot number on the temperature profile. The relative transport of internal and external resistances is called the Biot number. The thermal boundary layer increases with increasing in the biot number.

Figure 6.

Impacts of Bi on the temperature profile.

Figure 7 shows the impact of the porosity parameter on the velocity profile. It is noted that velocity profiles decreases for the higher values of the porosity parameter. The boundary layer thickness decreases for large values of porousity parameter.

Figure 7.

Impacts of γ on velocity profile.

6. Closing remarks

In this paper, the impacts of dependent viscosity parameter, magnetic field, and solid nanoparticle flow and the heat transfer of modified nanofluid flow at the exponential stretching surface have been analyzed numerically. The governing coupled partial differential equations are converted into ordinary coupled differential equations which are solved numerically by bvp4c method. The parametric analysis is executed to investigate the impacts of the governing physical parameters (magnetic field, variable viscosity (for both cases θe<0and θe>0), Biot number, and solid nanoparticle) on the flow and heat transfer properties. In particular, we focus on the effect of dependent viscosity when θe<0and θe>0of the Al2O3CuNi/waterand Al2O3Ni/water. It is noted that the fluid viscosity and temperature are inverse function. The computational results are presented through graph and tables. The results of modified nanofluid flow and heat transfer properties show many exciting behaviors which deserve further study of modified nanofluid.

Nomenclature

PrPrandtl number
Φ1nanoparticle volume fraction of Al2O3
Φ2nanoparticle volume fraction of Cu
Φ3nanoparticle volume fraction of Ni
BiBiot number
θtemperature profile
Rpermeability
fvelocity profile along x-direction
ρdensity
ffluid
Twwall temperature
T∞ambient temperature
νffluid kinematic viscosity
νnfnanofluid kinematic viscosity
νhnfhybrid nanofluid kinematic viscosity
νmnfmodified nanofluid kinematic viscosity
ρCphnfheat capacity of hybrid nanofluid
ρCpmnfheat capacity of modified nanofluid
κfthermal conductivity of fluid
κnfthermal conductivity of nanofluid
κhnfthermal conductivity of hybrid nanofluid
κmnfthermal conductivity of modified nanofluid
μhnfviscosity of hybrid nanofluid
μmnfviscosity of modified nanofluid
μnfviscosity of nanofluid
ρCpnfheat capacity of nanofluid
αhnfthermal diffusivity of hybrid nanofluid
αmnfthermal diffusivity of modified nanofluid
αnfthermal diffusivity of nanofluid
U,Vvelocity components
X,Ydirection components
θevariable viscosity parameter
γporosity parameter

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Sohail Nadeem and Nadeem Abbas (May 7th 2019). Effects of MHD on Modified Nanofluid Model with Variable Viscosity in a Porous Medium [Online First], IntechOpen, DOI: 10.5772/intechopen.84266. Available from:

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