alexa Nanoparticle Shape and Thermal Radiation on Marangoni Water, Ethylene Glycol and Engine Oil Based Cu, Al2O3 and SWCNTs | Open Access Journals
ISSN: 2169-0022
Journal of Material Sciences & Engineering
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Nanoparticle Shape and Thermal Radiation on Marangoni Water, Ethylene Glycol and Engine Oil Based Cu, Al2O3 and SWCNTs

Nur Atikah Adnan, Kandasamy R* and Mohammad R

Research Centre for Computational Fluid Dynamics, FSTPi, Universiti Tun Hussein Onn Malaysia, Malaysia, 86400, Batu Pahat, Johor, Malaysia

*Corresponding Author:
Ramasamy Kandasamy
Research Centre for Computational Fluid Dynamics
FSTPi, Universiti Tun Hussein Onn Malaysia
Malaysia, 86400, Batu Pahat, Johor, Malaysia
Tel:
006 07 453 7416
Fax:006 07 453 6051
E-mail: [email protected]

Received Date: July 24, 2017; Accepted Date: August 18, 2017; Published Date: August 28, 2017

Citation: Adnan NA, Kandasamy R, Mohammad R (2017) Nanoparticle Shape and Thermal Radiation on Marangoni Water, Ethylene Glycol and Engine Oil Based Cu, Al2O3 and SWCNTs. J Material Sci Eng 6: 365. doi: 10.4172/2169-0022.1000365

Copyright: © 2017 Adnan NA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

The aim of this paper is to investigate the relationship between particle shape and radiation effects on Marangoni boundary layer flow and heat transfer of water, ethylene glycol and engine oil based Cu, Al2O3 and SWCNTs. There are three types of nanoparticle shapes are considered in this research such as sphere, cylinder and lamina. The governing nonlinear partial differential equations are reduced into a set of nonlinear ordinary differential equations by applying similarity transformation which is solved using shooting technique in conjunction with Newton’s method and Runge Kutta algorithm. Temperature profiles are graphically and tabularly provided for the effects of solid volume fraction parameter, radiation parameter and empirical shape factor. The result shows that solid volume fraction and radiation energy gives a good impact on thermal boundary layer. Sphere nanoparticle shape predicts a better result on heat transfer rather than other nanoparticle shapes.

Keywords

Nanoparticle shape; Thermal radiation; Marangoni water; Ethylene glycol; Engine oil; Exponential temperature

Nanotechnology is one of widely technology rapidly progress in various fields such as chemistry, physics, materials science, biotechnology and other applications. It is due to their structures that are determined on the nanometer scale. It seems that Choi [1] is the first introduce term “nanofluids” for reference to base fluids suspended nanoparticles. Nanofluid is a fluid contains nanometer particles known as nanoparticles and made of metals, oxides, carbines or carbon nanotubes. The fluids are engineered colloidal suspension of nanoparticles in a base fluid. Water, ethylene glycol and oil are commonly example base fluid. Studies have shown that adding nanoparticles such as metal particles, metal oxides, metalloid oxides and carbon nanotubes, in the base fluids can effectively improve the thermal conductivity of the base fluids and enhance heat transfer performance of the liquid.

Studies have shown that nanofluid exhibit heat transfer characteristic compare to conventional fluid. There are several numerical and experimental studies on heat transfer in nanofluids: conductive, convective and radiative. Sidik et al. [2] presented an inclusive review on preparation methods and challenges of nanofluids. In addition, Pang et al. [3] presented the recent development and research effort of heat and mass transfer in nanofluid. Based on the research, most of the researchers are focusing on thermal conductivity and the heat transfer performance affected by the following parameters: nanoparticle material, nanoparticle size, nanoparticle shape, temperature and additives.

Marangoni boundary layer is the dissipative layer which may occur along the liquid-gas or liquid-liquid interfaces. Marangoni flow, occur at surface temperature gradient or the surface concentration gradient, appears in many practical projects such as chemical reaction process [4], aerospace engineering, crystal growth [5] and silicon melt [6]. There are two types of Marangoni which is thermal Marangoni effect (EMT) and solute Marangoni effect (EMS). Pearson [7] was introduced the mechanism of EMT.

The mechanism of thermal Marangoni effect (EMT) occur when a thin layer of fluid is heated from below and the temperature gradient is such that small variations in the surface temperature lead to surface tractions which cause the fluid to flow. Then, it tends to maintain the original temperature variations. Scriven and Sternling [8] are researchers who introduced the mechanism of EMS. Recently, there have been several papers published on the mechanism of Marangoni boundary layer flow transport. Christopher and Wang [9] present the effects of Prandtl number and Marangoni number on the Marangoni boundary layer around a vapor bubble during nucleation and growth by the shooting method.

In addition, Zheng et al. [10] examined the analytical result for Marangoni convection over a liquid-vapor surface due to an imposed temperature gradient by the Adomian decomposition technique couple with the Padé approximant technique. Then, Chamkha et al. [11] obtained a set of exact analytical results for the MHD thermosolutal Marangoni boundary layers over a flat surface. Later on, Chen [12] investigated the influence of Marangoni boundary layer on the flow and heat transfer of power-law fluids in a finite thin film over an unsteady stretching sheet.

Thus a research is carry out to investigate the relationship between particle shape and radiation effects on Marangoni boundary layer flow and heat transfer of copper, alumina and SWCNTs- water nanofluid, ethylene glycol and engine oil. There are three types of nanoparticle shapes are considered in this research such as sphere, cylinder and lamina. The governing nonlinear partial differential equations was reduced into a set of nonlinear ordinary differential equations by applying similarity transformation which are solved using shooting technique in conjunction with Newton’s method and Runge Kutta algorithm. Temperature profiles are graphically and tabularly presented for the effects of solid volume fraction parameter, radiation parameter and empirical shape factor.

Mathematical Analysis

The problem is consider as two dimensional steady Marangoni boundary layer flow and heat transfer of copper, alumina and SWCNTs in the presence of water, ethylene glycol and engine oil above a flat interface with surface tension gradient due to an exponential temperature. The physical model is assumed as incompressible, the base fluid and nanoparticle are in thermal equilibrium, no slippage and the flow is laminar.

Schematic of the physical system is shown in Figure 1 where Y is the coordinate measured normal to the surface whereas X axis pointing toward the porous medium. In addition, the thermo physical properties of the base fluid and nanoparticles copper, alumina and SWCNTs are given in Table 1 [13,14]. Marangoni effect acts as a boundary condition on the governing equations for the flow and it is unlike the Boussinesq effect in buoyancy-induced flow. The basic equations can be written in Cartesian coordinates X and Y as:

Equation (1)

Equation (2)

Equation (3)

The boundary conditions are

Equation (4)

Equation (5)

Where U and V are the velocity components along the X and Y directions respectively. Μnf is the viscosity of nanoparticle-nanofluid and ρnf is the density of the nanofluid. T is temperature, αnf is thermal diffusivity of the nanofluid, cp is specific heat at constant pressure, (ρcp) nf is heat capacity of the nanofluid and qr is the radiative heat flux. Tw is surface temperature and it is assumed to be an exponential function with X, T is the temperature of nanofluid far from the interface and Tconst is a reference temperature.

  Cp (J/kgK) ρ (kg/m3) k (W/Mk)
Cu 385 8933 400
Al2O3 765 3970 40
SWCNTs 425 2600 6600
Water 4179 997.1 0.613
Ethylene glycol 2430 1115 0.253
Engine oil 1910 884 0.144

Table 1: Thermo physical properties of Copper, Alumina and SWCNTs – water, ethylene glycol and engine oil.

material-sciences-engineering-physical-model-system

Figure 1: Physical model and coordinate system..

The others physical characteristics of the nanofluid are given by refs. [15,16].

Equation (6)

Equation (7)

Equation (8)

Equation (9)

ρnf is the density of water, ρs is density of solid nanoparticles, (ρcp)f is the heat capacity of fluid (ρcp)s is the heat capacity of solid nanoparticles. γnf is kinematic viscosity of nanofluid, knf is thermal conductivity of nanofluid. In this research, the nanoparticles shapes are taken into account by using Hamilton and Crosser model [17].

Equation (10)

where kf is thermal conductivity of nanofluid, ks is thermal conductivity of solid nanoparticles, m=3/φ is empirical shape factor where φ is sphericity. By using Rosseland approximation, the radiative of heat flux is become to:

Equation (11)

where k* is the mean absorption and δ* is Stefan Boltzman. The temperature on the surface is an exponential function with X. Moreover, there are temperature differences within the flow; T4 is expressed as a linear function of temperature. This accomplished by expanding T4 in a Taylor series about T∞. The higher-order terms are neglecting, thus it become:

Equation (12)

According to the boundary condition 4, σ is defined as surface tension. The temperature gradient occur by interfacial surface tension gradient at the interface induced flow as

Equation (13)

In addition, it is assumed that the surface tension is linear with the temperature such that

Equation (14)

σ0 is a positive constant and it represents the surface tension when T=T. γT is the temperature coefficient of the surface tension. We introduced the similar dimensionless variables (U0 is velocity unit, L0 is length unit):

Equation (15)

Equation (16)

Equation (17)

Equation (18a)

Equation (18b)

Equation (18c)

Equation (19)

Where Re is Reynolds number, Pr is Prandtl number. In this paper, we consider Pr=7.8 and Ma is Marangoni number and Nr is the radiation parameter. So, the governing eqns. (1)-(3) can be transformed to:

Equation (20)

Equation (21)

Equation (22)

Boundary conditions (4)-(5) become:

Equation (23)

Equation (24)

Using the boundary layer approximation and introducing the stream function ψ defined as Equation and Equation, the following transformation variables are:

Equation (25)

Equation (26)

The partial differential eqns. (20)-(22) are transformed to the following ordinary equations:

Equation (27)

Equation (28)

Boundary conditions (23)-(24) can be expressed as

Equation (29)

Equation (30)

The X and Y component of the velocity and temperature are:

Equation (31)

Equation (32)

Equation (33)

Local Nusselt number Nux defined as:

Equation (34)

qw(X) is heat flux of nanofluid as Equation. By using eqns. (25), (26), (33) and (34) (Table 2 and Figure 2),

Equation (35)

  Sphere Cylinder Lamina
φ 1 0.4710 0.1857
m 3 6.3698 16.1576

Table 2: Values of the sphericity and the empirical shape factor for different particles shapes.

material-sciences-engineering-different-nanoparticles

Figure 2: Different shapes of nanoparticles.

Numerical Techniques

The set of nonlinear ordinary differential eqns. (27) and (28) with boundary condition (29-30) are reduced to the first order differential equations and have been solved by using Runge Kutta scheme in conjunction with modified Newton- Raphson shooting method .The terms in eqns. (27) and (29) are expressed as a set of first order equations in terms of three variables u, v and r. Introducing the shooting parameter t as f ′(0)=t and f(η), f ′(η) and f ′′(η) are denoting by using variables u, v and r yields:

Equation (36)

Equation (37)

Then the eqns. (27) and (28) can be converted into

Equation (38)

Equation (39)

The asymptotic boundary conditions ∞ given in eqns. (29) and (30) were replaced by a finite value of 8 for similarity variable η maximum as follows:

Equation (40)

MAPLE 18 software for fourth fifth order Runge Kutta method is using to find the values of heat transfer and velocity.

Results and Discussion

In this research, Marangoni boundary layer flow and heat transfer of nanoparticle shapes (sphere, cylinder and lamina) in the presence of water; ethylene glycol and engine oil based on copper, alumina and SWCNTs are investigated by exponential temperature. Organization the rate of heat transfer and temperature within the nanofluid with different nanoparticle shapes are observed in terms of figures and tables where the influences of the solid volume fraction, radiation parameter and empirical shape factor are considered.

Analysis of nanoparticle shape and volume fraction on temperature profiles

The solid volume fraction is an important component in the physical parameter for nanofluids and plays a key role in Marangoni boundary layer flow and heat transfer. The academic literature [18,19] had revealed that the solid volume fraction on copper-water nanofluid in the range 0.05% ≤ ϕ ≤ 6.00%. If the concentration is exceeds 6.00%, the sendimation would take place. In this study, the solid volume fraction parameter consider as ϕ=0.0%, 0.1% and 0.2% while the others physical parameters are fixed as Pr=7.8, Nr=1 and m=3 (sphere particle), m=6.3698 (cylinder particle) and m=16.1576 (lamina particle). Figure 3 displays the effects of solid volume fraction parameter on heat transfer of the water, ethylene glycol and engine oil Cu, Al2O3 and SWCNTs for sphere, cylinder and lamina particles.

material-sciences-engineering-effect-nanoparticle-volume

Figure 3: Effect of the nanoparticle volume fraction and shapes on temperature profiles.

It is already known that Marangoni effect on fluid flow is fluid moves from a region with low surface tension to a region with high surface tension. It is observed that the temperature of the water, ethylene glycol and engine oil based Cu, Al2O3 and SWCNTs increases with increase of nanoparticle volume fraction. The outcomes of the investigation shows that the thermal boundary layer thickness of sphere shape copper nanoparticles in Cu-water is stronger than that of all the other mixtures in the flow regime. This is due to the combined effects of the density and thermal conductivity of the Cu-water is more significant as compared to the other mixtures in the flow regime.

Analysis of the radiation and nanoparticle shape on temperature profiles

Figures displays the results obtained from the influence of the thermal radiation energy on heat transfer characteristic of the water ethylene glycol and engine oil based Cu, Al2O3 and SWCNTs on dimensionless temperature θ (η). As shown in the Figure 4, the dimensionless temperature of the water ethylene glycol and engine oil based Cu, Al2O3 and SWCNTs increases with increase of thermal radiation energy. It is because presence of radiation to put off the repairing effect of thermal Marangoni boundary layer. Besides that the temperature distribution within the thermal boundary layer invert to T slowly. It is interesting to notice that the thermal boundary layer thickness of the lamina shape Cu - ethylene glycol is more powerful as compared to the other mixtures in the flow regime with increase of thermal radiation energy because of the combined effect of thermal conductivity and the specific heat of the Cu - ethylene glycol along the flow. What stand out in the Figure 4 is lamina shape copper nanoparticles in ethylene glycol leads an efficient hits on temperature distribution with increase of thermal radiation energy.

material-sciences-engineering-thermal-radiation-energy

Figure 4: The thermal radiation energy and nanoparticle shape on temperature profiles.

Effect of the empirical shape factor (m)

Nanoparticle shape is another significant aspect on flow and heat transfer of nanofluid. Most of the researchers investigating nanofluid have utilized spherical shape because it’s effective thermal conductivity. Thermal conductivity of nanofluids can be approximated by Hamilton and Crosser model as Equation where the sphericity and empirical shape factor (m) are considered. In this study, three types of nanoparticle shapes are taken into account such as sphere, cylinder and lamina.

Different shapes of copper, alumina and SWCNTs particles are presented in Figure 2 and empirical shape factor are derived in Table 1. According to Figure 2, N is height and diameter ratio of cylinder defined as N=h/d where h is height of the cylinder and d is the diameter. The empirical shape factor and the sphericity of a cylinder can be expressed by:

Equation (41)

There is a differentiation between cylinder and lamina. Cylinder is defined as a column for N ≥ 10 whereas lamina is defined for N ≤ 0.1.

Figure 5 displays an overview influence of different type’s nanoparticle shapes (sphere, cylinder lamina) on dimensionless temperature of the water, ethylene glycol and engine oil based Cu, Al2O3 and SWCNTs. The results show that for different nanoparticle shapes with the same base fluid and other parameters, the dimensionless temperature is sphere<cylinder<lamina. Meanwhile, the rate of temperature is decreases sphere>cylinder>lamina. According to the result, it is indicated that the sphere shape nanoparticles in the water Cu, Al2O3 and SWCNTs plays a dominant role as compared with the other mixtures in the flow regime.

material-sciences-engineering-shape-nanoparticles-profiles

Figure 5: Shape of the nanoparticles on temperature profiles.

The results of this investigation show that nanoparticle volume fraction and particle shape give a significant impact on thermal conductivity of the copper, alumina and SWCNTs. The ratio thermal of conductivity is increases as solid volume fraction increases for the same particle shape (sphere, cylinder and lamina) in the presence of water, ethylene glycol and engine oil based on Cu, Al2O3 and SWCNTs. In addition, thermal conductivity increases when sphericity φ(N) increases or empirical shape factor m(N) decreases in the same solid volume fraction. In sequence order, the ratio thermal conductivity is sphere<cylinder<lamina. These results are similar to Jiao et al. [19].

Conclusion

The present study was designed to determine the effect of particle shapes and radiation parameter on Marangoni boundary layer flow and heat transfer of copper, alumina and SWCNTs in the presence of water, ethylene glycol and engine oil driven by exponential temperature. The following results are obtained:

1. There is a positive significant correlation between nanoparticle volume fraction parameter and particle shape on temperature and thermal conductivity.

2. The sphere shape nanoparticles in the presence of water Cu, Al2O3 and SWCNTs play a dominant role as compared with the other mixtures in the flow regime.

3. Sphere shape nanoparticles in the nanofluid is a more assurance in terms of enhancing the heat transfer compared to other nanoparticles shapes.

4. Lamina shape copper nanoparticles in ethylene glycol leads an efficient hit on temperature distribution with increase of thermal radiation energy.

5. The thermal boundary layer thickness of sphere shape copper nanoparticles in Cu-water is stronger than that of all the other mixtures in the flow regime because of the thermal conductivity of Cu - water.

It is registered that the lamina shape nanoparticle in the existence of Cu-ethylene glycol is researched in this work can be gainful in the solar radiation energy systems. Resultantly, the lamina shape in the cu-ethylene glycol is a more affirmation in terms of complementing the heat transfer reinforcement of the Marangoni boundary layer flow system.

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