Brought to you by:
Paper

Significance of Darcy-Forchheimer Porous Medium in Nanofluid Through Carbon Nanotubes

, , , , and

© 2018 Chinese Physical Society and IOP Publishing Ltd
, , Citation Taseer Muhammad et al 2018 Commun. Theor. Phys. 70 361 DOI 10.1088/0253-6102/70/3/361

0253-6102/70/3/361

Abstract

This article manages Darcy-Forchheimer 3D flow of water based carbon nanomaterial (CNTs). A bidirectional nonlinear stretchable surface has been utilized to make the flow. Disturbance in permeable space has been represented by Darcy Forchheimer (DF) expression. Heat transfer mechanism is explored through convective heating. Outcomes for SWCNT and MWCNT have been displayed and compared. The reduction of partial differential framework into nonlinear common differential framework is made through reasonable variables. Optimal series scheme is utilized for arrangements advancement of associated flow issue. Optimal homotopic solution expressions for velocities and temperature are studied through graphs by considering various estimations of physical variables. Moreover surface drag coefficients and heat transfer rate are analyzed through plots.

Export citation and abstract BibTeX RIS

Nomenclature

u, v, w velocity components
x, y, z space coordinates
μf fluid dynamic viscosity
νf kinematic fluid viscosity
kf basefluid themal conductivity
αf thermal diffusivity of base fluid
Tf hot fluid temperature
hf heat transfer coefficient
a, b positive constants
F non-uniform inertia coefficient
Cb drag coefficient
Cf, Cg skin friction coefficients
λ local porosity number
Fr Forchheimer parameter
Bi Biot parameter
Pr Prandtl parameter
CNTs carbon nanotubes
n power-law index
Uw, Vw surface stretching velocities
ρf fluid density
νnf kinematic nanofluid viscosity
knf nanofluids themal conductivity
αnf thermal diffusivity of nanofluid
T ambient fluid temperature
kCNT CNTs thermal conductivity
k* permeability of porous medium
ϕ nanomaterial volume fraction
Rex, Rey local Reynolds numbers
Nu local Nusselt number
η dimensionless variable
f', g' dimensionless velocities
θ dimensionless temperature
α ratio number
${Z}_{j}^{\ast \ast }$ arbitrary constants

1. Introduction

Carbon nanotubes are the least difficult compound sythesis and nuclear holding arrangement of graphene sheet structures moved up in a state of chamber. Carbon nanotubes have special physical, electrical, thermal, chemical, and mechanical properties, because of the blend of their little size, tube shaped structure and colossal surface region. Contingent upon the quantity of graphene layers, carbon nanotubes have been subdivided in two sorts that is single walled carbon nanotubes (SWCNT) and multi walled carbon nanotubes (MWCNT). Anomalous heat conductivity improvement in oil-based nanofluids containing carbon nanotube is represented by Choi et al.[1] Xue[2] proposed a model in view of Maxwell hypothesis for transport properties of CNTs based composites. Aueous suspensions of multi-walled carbon nanotubes is investigated by Ding et al.[3] Few commitments toward this path can be looked into through the attempts[425] and different examinations therein.

Flow of liquid through permeable space assumes essential part in different mechanical applications, for example, warm protection designing, water developments in geothermal supplies, underground spreading of substance squander, atomic waste archive, grain stockpiling, upgraded recuperation of oil stores, improved oil recuperation, land carbon-dioxide sequestration, pressed cryogenic microsphere protection, coordinate contact warm exchangers, coal combustors, atomic waste storehouses, and warmth pipe innovation. For flow under low velocity and weak porosity conditions, Darcy developed a pioneering semi-empirical equation. Nonlinearity appears in semi-empirical equation for high Reynolds number which is due to increasing role of inertial forces. Forchheimer[26] predicted a modified equation namely Darcy-Forchheimer equation by introducing quadratic term in momentum equation. Muskat[27] entitled it as Forchheimer factor. Having above in view, further relevant studies on Darcy-Forchheimer flow can be looked into through the attempts[2838] and different examinations therein.

The prime point of this endeavor is to investigate Darcy Forchheimer (DF) three-dimensional (3D) flow of carbon water nanomaterials. Flow created is a result of nonlinear stretchable surface. Heat exchange component is investigated by means of convective surface condition. Single walled (SWCNT) and multi walled (MWCNT) carbon nanotubes are considered. Xue model is implemented in mathematical modeling. The governing nonlinear system is solved by optimal homotopic approach.[3945] Effectiveness of sundry factors on temperature and velocities fields are analyzed. Additionally skin frictions and Nusselt number are introduced by means of plots.

2. Formulation

We consider three dimension (3D) flow of water based carbon nanomaterials (CNTs) caused by nonlinear stretchable surface in a Darcy-Forchheimer permeable space. Temperature at surface is controlled via convection, which is described by hot fluid at temperature Tf below the surface and heat transfer coefficient hf. The surface at z = 0 possessing the stretching velocities Uw(x, y) = a(x + y)n and Vw(x, y) = b(x + y)n where a, b, and n > 0 are the positive constants (see Fig. 1). SWCNT and MWCNT are utilized as nanomaterials in water. The problems statements are:[10,31]

Equation (1)

Equation (2)

Equation (3)

Equation (4)
Fig. 1

Fig. 1 Physical configuration and coordinate system.

Standard image

The associated boundary conditions are:[10,31]

Equation (5)

Equation (6)

Here u, v, and w stand for fluid velocities in x-, y-, and z-axes, Cb for drag coefficient, νnf for kinematic viscosity of nanofluid, $F={C}_{b}/[(x+y){k}^{\ast \frac{1}{2}}]$ for nonuniform inertia coefficient of permeable space, k* for permeability of permeable space, αnf for nanofluid thermal diffusivity, T for temperature, Tf for hot fluid temperature, and T for ambient temperature and cp for specific heat. Theoretical relation suggested by Xue[2] is defined as follows:

Equation (7)

in which μnf stands for nanofluid viscosity, ϕ for nanoparticle fraction, ρnf for nanofluid density, knf for nanofluid heat conductivity, ρCNT for CNTs density and kCNT for carbon nanotubes thermal conductivity. Table 1 exhibits physical attributes of water and CNTs.

Table 1.  Physical aspects of water and CNTs.[2]

Physical aspects Base fluid CNTs
  Water SWCNTs MWCNTs
ρ 997.1 2600 1600
cp 4179 425 796
k 0.613 6600 3000

Using the appropriate transformations:

Equation (8)

Now Eq. (1) is verified while Eqs. (2)–(7) have been reduced to

Equation (9)

Equation (10)

Equation (11)

Equation (12)

Equation (13)

Here Fr stands for Forchheimer parameter, α for ratio number, λ for local porosity number, Bi for Biot parameter and Pr for Prandtl parameter. These variables are defined by

Equation (14)

Skin frictions and Nusselt number are expressed by

Equation (15)

Equation (16)

Equation (17)

where Rex = Uw(x+y)/νf and Rey = Vw(x+y)/νf stand for local Reynolds numbers.

3. OHAM Solutions

The optimal series arrangements of Eqs. (9) to (11) via (12) and (13) are developed by employing optimal homotopic technique (OHAM). Operators and initial deformations are chosen as follows:

Equation (18)

Equation (19)

The above linear operators obey

Equation (20)

where ${Z}_{j}^{\ast \ast }$ (j = 1–7) stand for arbitrary variables. Problems for m-th order and zeroth deformations are easily constructed in the view of above operators. The associated deformation issues are solved via BVPh2.0 of Mathematica package.

4. Convergence Analysis

We have solved the momentum and energy expressions with the help of BVPh2.0. These expressions contain unknown variables ħf, ħg, and ħθ. We can compute the minimum estimation of these variables by taking total error small. In the edge of HAM, these factors assume a fundamental part. That is the reason these factors allude to as convergence control factor which varies HAM from other scientific guess strategies. Keeping in mind the end goal to diminish CPU time, we have utilized average residual errors at m-th oder of guess, which are characterized by

Equation (21)

Equation (22)

Equation (23)

Following Liao:[39]

Equation (24)

where εt represents the total residual squared error, k = 20 and δη = 0.5. Optimal information of convergence control factors at 2nd order of distortions is hf = −0.8118, hg = −0.9927, and hθ = −1.563 92 for SWCNT-Water and hf = −0.8428, hg = −1.062 73 and hθ = −1.560 89 for MWCNT-Water. Table 2 displays average square residual error at various request of distortions. It has been broke down that the average residual square errors reduce with higher request distortions for SWCNT and MWCNT.

Table 2.  Individual average residual square errors employing optimal estimations of auxiliary factors.

  SWCNT MWCNT
m ${\varepsilon }_{m}^{f}$ ${\varepsilon }_{m}^{g}$ ${\varepsilon }_{m}^{\theta }$ ${\varepsilon }_{m}^{f}$ ${\varepsilon }_{m}^{g}$ ${\varepsilon }_{m}^{\theta }$
2 6.16 × 10−6 1.46 × 10−6 1.13 × 10−3 1.03 × 10−5 1.99 × 10−6 1.23 × 10−3
6 1.03 × 10−9 1.59 × 10−10 1.18 × 10−4 4.70 × 10−9 4.95 × 10−10 1.56 × 10−4
8 2.06 × 10−11 3.39 × 10−12 5.67 × 10−5 1.69 × 10−10 1.68 × 10−11 8.22 × 10−5
10 4.56 × 10−13 9.95 × 10−14 3.06 × 10−5 7.26 × 10−12 7.03 × 10−13 4.86 × 10−5
14 2.39 × 10−16 1.35 × 10−16 1.11 × 10−5 1.80 × 10−14 1.70 × 10−15 2.11 × 10−5
18 7.36 × 10−19 2.72 × 10−19 4.85 × 10−6 5.76 × 10−17 5.34 × 10−18 1.09 × 10−5
20 1.91 × 10−20 1.34 × 10−20 3.35 × 10−6 3.45 × 10−18 3.17 × 10−19 8.23 × 10−6

5. Discussion

The present segment inspects impacts of various physical elements like nanoparticles fraction parameter ϕ, local porosity number λ, Forchheimer parameter Fr, ratio number α, and Biot parameter Bi on velocities f'(η) and g'(η) and temperature θ(η). Outcomes are achieved for single walled CNTs and mutli walled CNTs. Figure 2 signifies the effect of volume division of nanoparticles ϕ on velocity field f'(η). It is accounted for that velocity field f'(η) upgrades for bigger ϕ for SWCNT and MWCNT. The role of local porosity number λ on velocity field f'(η) is portrayed in Fig. 3. It is investigated that velocity f'(η) decays for higher λ for SWCNT and MWCNT. Physically the obstruction is created in liquid flow because of presence of permeable space, which portrays a diminishment in liquid velocity. Hence a lessening is noted in the velocity and momentum layer. From Fig. 4, it is revealed that velocity field f'(η) begins diminishing with an expansion in Forchheimer parameter Fr for SWCNT and MWCNT. Figure 5 displays the impact of solid volume fraction of nanoparticles ϕ on velocity field g'(η). It is reported that velocity field g'(η) is enhanced for larger ϕ for SWCNT and MWCNT. The behavior of local porosity number λ on velocity field g'(η) is plotted in Fig. 6.

Fig. 2

Fig. 2 Effect of ϕ on f'(η).

Standard image
Fig. 3

Fig. 3 Effect of λ on f'(η).

Standard image
Fig. 4

Fig. 4 Effect of Fr on f'(η).

Standard image
Fig. 5

Fig. 5 Effect of ϕ on g'(η).

Standard image
Fig. 6

Fig. 6 Effect of λ on g'(η).

Standard image

It is watched that velocity field g'(η) reduces for higher λ for SWCNT and MWCNT. From Fig. 7, it is noted that velocity field g'(η) diminishes with an expansion in Forchheimer parameter Fr for SWCNT and MWCNT. Effect of Biot parameter Bi on temperature field θ (η) is plotted in Fig. 8. Here temperature field θ (η) upgrades for higher Biot parameter Bi for SWCNT and MWCNT. Bigger Biot parameter causes a more grounded convection which yields a more grounded temperature θ (η) and more thermal layer. Figures 9 and 10 present skin frictions ${C}_{f}R{e}_{x}^{1/2}$ and ${C}_{g}R{e}_{y}^{1/2}$ for several estimations of nanoparticles fraction ϕ and ratio number α. It is watched that skin frictions are improved for expanding estimations of nanoparticles fraction parameter for SWCNT and MWCNT. From Fig. 11, it is analyzed that Nusselt number $NuR{e}_{x}^{-1/2}$ improves for bigger nanoparticles fraction parameter ϕ for SWCNT and MWCNT.

Fig. 7

Fig. 7 Effect of Fr on g'(η).

Standard image
Fig. 8

Fig. 8 Effect of Bi on θ (η).

Standard image
Fig. 9

Fig. 9 Effects of α and ϕ on ${C}_{f}R{e}_{x}^{1/2}$.

Standard image
Fig. 10

Fig. 10 Effects of α and ϕ on ${C}_{g}R{e}_{y}^{1/2}$.

Standard image
Fig. 11

Fig. 11 Effects of Bi and ϕ on $NuR{e}_{x}^{-1/2}$.

Standard image

6. Conclusions

Darcy Forchheimer 3D flow of carbon water nanomaterials (CNTs) within the sight of thermal convective condition is considered. Flow is caused by a bi-directional nonlinear stretchable surface. Optimal homotopic calculation prompts the arrangements of representing flow issue. We have seen that velocities indicate comparative pattern for local porosity number and Forchheimer parameter. An enhancement in Biot parameter exhibits stronger temperature field. Moreover skin frictions and local Nusselt number show increasing trend for higher nanoparticle fraction parameter.

Please wait… references are loading.