MPE Mathematical Problems in Engineering 1563-5147 1024-123X Hindawi Publishing Corporation 10.1155/2014/141795 141795 Research Article Entropy Generation Analysis of Power-Law Non-Newtonian Fluid Flow Caused by Micropatterned Moving Surface Yazdi M. H. 1, 2, 3 Hashim I. 4, 5 Fudholi A. 2 Ooshaksaraei P. 2 Sopian K. 2 Zhang Zhijun 1 Faculty of Science, Technology, Engineering and Mathematics INTI International University 71800 Nilai Negeri Sembilan Malaysia newinti.edu.my 2 Solar Energy Research Institute (SERI) Universiti Kebangsaan Malaysia 43600 Bangi Malaysia ukm.my 3 Department of Mechanical Engineering Science and Research Branch Islamic Azad University Neyshabur 9319313668 Razavi Khorasan Iran srbiau.ac.ir 4 School of Mathematical Sciences Faculty of Science & Technology Universiti Kebangsaan Malaysia 43600 Bangi Selangor Malaysia ukm.my 5 Department of Mathematics Faculty of Science King Abdulaziz University P.O. Box 80257 Jeddah 21589 Saudi Arabia kau.edu.sa 2014 1772014 2014 09 03 2014 17 06 2014 17 7 2014 2014 Copyright © 2014 M. H. Yazdi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

In the present study, the first and second law analyses of power-law non-Newtonian flow over embedded open parallel microchannels within micropatterned permeable continuous moving surface are examined at prescribed surface temperature. A similarity transformation is used to reduce the governing equations to a set of nonlinear ordinary differential equations. The dimensionless entropy generation number is formulated by an integral of the local rate of entropy generation along the width of the surface based on an equal number of microchannels and no-slip gaps interspersed between those microchannels. The velocity, the temperature, the velocity gradient, and the temperature gradient adjacent to the wall are substituted into this equation resulting from the momentum and energy equations obtained numerically by Dormand-Prince pair and shooting method. Finally, the entropy generation numbers, as well as the Bejan number, are evaluated. It is noted that the presence of the shear thinning (pseudoplastic) fluids creates entropy along the surface, with an opposite effect resulting from shear thickening (dilatant) fluids.

1. Introduction

The method of thermodynamic optimization or entropy generation minimization is an active field at the interface between heat transfer, engineering thermodynamics, and fluid mechanics. The entropy generation analysis of non-Newtonian fluid flow over surface has many significant applications in thermal engineering and industries. Applications of horizontal surfaces can also be found in various fluid transportation systems. Before considering entropy generation analysis, the flow and heat transfer part should be evaluated first. As explained, non-Newtonian fluid flow has received considerable attention due to many important applications in both micro-  and macroscale technologies . Examples of non-Newtonian fluids include grease, cosmetic products, blood, body fluids, and many others . Based on the macroscale applications, the problem can receive considerable attention because of the wide use of non-Newtonians in food engineering, power engineering, and many industries such as extrusion of polymer fluids, polymer solutions used in the plastic processing industries, rolling sheet drawn from a die, drying of paper, exotic lubricants, food stuffs, and many others  which in most of them a cooling system is required. The analysis of the flow field in boundary layer adjacent to the wall is very important in the present problem and is an essential part in the area of fluid dynamics and heat transfer. The partial slip occurs in the most of the microfluidic devices since slip flow happens if the characteristic size of the flow system is small or the flow pressure is very low . A literature survey indicates that there has been an extensive research presented regarding the slip boundary layer flow over surface in various situations. Regarding external slip flow regimes based on horizontal surfaces, Yazdi et al.  have investigated the slip boundary layer flow past flat surface. They examined the velocity slip effects on both gas and liquid flows. They also showed that hydrodynamic slip can enhance heat transfer rate in liquid flow case. In a later work, they  investigated the effect of permeability parameter on the slip flow regime. Further, they [15, 16] investigated the study of slip MHD flow and heat transfer over an accelerating continuous moving surface. Besides, Mahmoud and Waheed  performed the flow and heat transfer characteristics of MHD mixed convection fluid flow past a stretching surface with slip velocity at the surface and heat generation (absorption). Later, Yazdi et al.  have evaluated the effects of viscous dissipation on the slip MHD flow and heat transfer past a permeable surface with convective boundary conditions. They demonstrated that the magnetic lines of force can increase fluid motion inside of the boundary layer by affected free stream velocity.

Entropy generation analysis based surface microprofiling is called EBSM. As a shape optimization technique, EBSM considers optimal microprofiling of a micropatterned surface to minimize entropy production. Dissimilar to past techniques of modelling surface roughness by an effective friction factor, the new method of EBSM develops analytical solutions for the embedded microchannels (microgrooves) to give more carefully optimized surface characteristics. EBSM was developed for the first time by Naterer  who proposed surface microprofiling to reduce energy dissipation in convective heat transfer. This method includes local slip-flow conditions within the embedded open microchannels and thus tends to drag reduction and lower exergy losses along the surface [36, 37]. In another work, Naterer , specifically, concentrated on open parallel microchannels surface design. He attempted to optimize the microscale features of the surface. The optimized number of channels spacing between microchannels and aspect ratios was modelled to give an effective compromise between friction and heat transfer irreversibilities. His results suggested that embedded surface microchannels can successfully reduce loss of available energy in external forced convection problems of viscous gas flow over a flat surface . In another comprehensive study, Naterer and Chomokovski  developed this technique to converging surface microchannels for minimized friction and thermal irreversibilities. His results suggest that the embedded converging surface microchannels have the potential to reduce entropy generation in boundary layer flow with convective heat transfer. It was noted that the EBSM technique can be appropriately extended to more complex geometries. In a subsequent novel work, Naterer et al.  applied both experimentally and numerically this method to the special application of aircraft intake deicing. Thus, a new surface microprofiling technique for reducing exergy losses and controlling near-wall flow processes, particularly for anti-icing of a helicopter engine bay surface was developed. The embedded microchannels were illustrated to have convinced influences on convective heat transfer. In regard to deicing applications, the motivation was to suitably modify the convective heat transfer, or runback flow of unfrozen water, so that ice formation would be delayed or prevented. Later, a study based on liquid flow over open microchannels was investigated by Yazdi et al. . In another study, they  presented the second law analysis of MHD flow over embedded microchannels in an impermeable surface. Later, Yazdi et al.  investigated entropy generation analysis of electrically conducting fluid flow over open parallel microchannels embedded within a continuous moving surface in the presence of applied magnetic field where the free stream velocity was stationary and the fluid was moving by an external surface force. Recently, they  have evaluated the reduction of entropy generation by embedded open parallel microchannels within the permeable surface in order to reach a liquid transportation design in microscale MHD systems. A Newtonian fluid has been considered in previous EBSM researches.

Recently, the use of open microchannels instead of the usual closed microchannels has been recommended, since the open microchannels are open to the ambient air on the top side, which can offer advantages, such as maintaining the physiological conditions for normal cell growth and introducing accurate amounts of chemical and biological materials . Taking advantages of microfabrication techniques due to making appropriate slip boundary condition along hydrophobic open microchannels together with biotechnological application areas of open microchannels motivates us to consider carefully a practical design for controlling the entropy production of various non-Newtonians in microscale systems. There have been many theoretical problems developed for entropy generation analysis of boundary layer flow. However, to the best of our knowledge, no investigation has been made yet to evaluate EBSM in a non-Newtonian fluid system. The EBSM technique is recommended here, as a proper surface shape technique due to valuation of entropy production in microscale systems. Such innovations can examine energy efficiency of existing microfluidic systems by embedding microchannels within permeable surfaces.

2. Mathematical Formulation 2.1. Flow and Heat Transfer Analysis

The flow configuration is illustrated in Figure 1(a). First, we prepare the flow and heat transfer mathematical formulation of steady, 2D, laminar slip boundary layer flow of a power-law non-Newtonian fluid over continuously permeable moving surface with constant velocity U at prescribed surface temperature in the presence of viscous dissipation (see Figure 1(a)). After that, the utilization of the second law of thermodynamics is focused on EBSM which requires simultaneous modeling of the slip and no-slip boundary condition along the width of the micropatterned surface (see Figure 1(b)). It is assumed that the width of the surface consists of a specific number of open microchannels and the base sections (m), each of which has its own width. Moreover, a no-slip condition is applied between open microchannels, whereas a slip condition is applied to the open parallel microchannels. Thus, in the present micropatterned surface design, based on EBSM techniques [7, 37, 3941], the slip boundary condition is applied inside the open microchannels. Experimental evidence recommends that, for water flowing through a microchannel, the surface of which is coated with a 2.3 nm thick monolayer of hydrophobic octadecyltrichlorosilane, an apparent hydrodynamic slip is measured just above the solid surface. This velocity is about 10% of the free-stream velocity .

(a) Physical model of fluid flow. (b) Schematic diagram of embedded surface microchannels (the subscripts of ns and s refer to no-slip and slip conditions, resp.).

Based on the assumptions of the problem, non-Newtonian fluid is a continuum and an incompressible fluid. The positive y-coordinate is considered normal to the x-coordinate. The corresponding velocity components in the x and y directions are u and v, respectively. x is the coordinate along the plate measured from the leading edge. The positive y-coordinate is measured perpendicular to the x-coordinate in the outward direction towards the fluid. The corresponding velocity components in the x and y directions are denoted as u and v, respectively. A permeable surface is considered here at prescribed surface temperature (PST), Twall given by  (2)y=0,T=Twall(=T+Axk), where A is a constant and k is the surface temperature parameter at the prescribed surface temperature (PST) boundary condition. Besides, the volumetric rate of heat generation is defined as follows [26, 46, 47]: (3)Q={Q0(T-T),TT0T<0, where Q0 is the heat generation/absorption coefficient. The continuity, momentum, and energy equations for power-law fluid in Cartesian coordinates x and y are (4)ux+vy=0,(5)uux+vuy=μρy(|uy|n-1uy),(6)uTx+vTy=α2Ty2+μρcp|uy|n+1+Q0(T-T)ρcp, where n,ρ,α, and μ are the power-law index parameter, the fluid density, the thermal diffusivity, and the consistency index for non-Newtonian viscosity, respectively. T is the temperature of the fluid and cp is the specific heat at constant pressure. The associated boundary conditions are given by (7)y=0u=U+us=U+l1(|uy|n-1uy)|w,v=vw,T=Tw(=T+Axk)yu=0,T=T, where us is the partial slip based on power-law non-Newtonian fluid adjacent to the wall and l1 is the slip length having dimension of length. The equation of continuity is integrated by the introduction of the stream function ψ(x,y). The stream function satisfies the continuity equation (4) and is defined by (8)u=ψy,v=ψx Similarity solution method permits transformation of the partial differential equations (PDE) associated with the transfer of momentum and thermal energy to ordinary differential equations (ODE) containing associated parameters of the problem by using nondimensional parameters. Applying similarity method, the fundamental equations of the boundary layer are transformed to ordinary differential ones. The stream function, ψ, which is a function of x and y, can be expressed as a function of x and η, if the similarity solution exists. The mathematical analysis of the problem can be simplified by introducing the following dimensionless coordinates: (9)f(η)=uUη=y(U2-nνx)θ(η)=T-TTw-T,ψ(η)=(νxU2n-1)1/(n+1)f(η), where ν is the non-Newtonian kinematic viscosity, f(η) is the dimensionless stream function, θ(η) is the dimensionless temperature of the fluid in the boundary layer region, and ψ is stream function as a function of x and η. By means of above similarity variables, non-Newtonian fluid velocity adjacent to the wall can be defined as follows: (10)f(0)=1+K(f′′(0)|f′′(0)|n-1), where K is the slip coefficient given by (11)K=l1U(U3νx)n/(n+1). The momentum and energy equations and the associated boundary conditions reduce to the following system of similarity equations: (12)n(n+1)|f′′|n-1f′′′+ff′′=0,θ′′+Prn+1fθ+PrEc|f′′|n+1+Prsθ-Prkfθ=0. The associated boundary conditions are given by (13)η=0{f(0)=1+K(f′′(0)|f′′(0)|n-1)f(0)=fwθ(0)=1η{f()=0θ()=0, where s, fw, Pr, and Ec show the heat generation/absorption parameter, the suction/injection parameter, the modified local non-Newtonian Prandtl number, and the Eckert number, respectively. Accordingly, the involved parameters of the problem are defined by (14)K=l1U(U3νx)n/(n+1),fw=-(n+1)xn/(n+1)vw(νU2n-1)1/(n+1)Pr=Uαx(U2-nνx)-2/(n+1),Ec=U2Axkcp,s=Q0xUρcp. Suction/injection parameter fw determines the transpiration rate along the surface with fw>0 for suction, fw<0 for injection, and fw=0 corresponding to an impermeable surface. The one-way coupled equations (12) are solved numerically by using the explicit Runge-Kutta (4, 5) formula, the Dormand-Prince pair, and shooting method, subject to the boundary conditions (13). Thus, the local skin friction coefficient and the local Nusselt number exhibit dependence on the involved parameters of the problem as follows: (15)Cfx=-2τwρU2=-2Re-1/(n+1)f′′(0)|f′′(0)|n-1,Nux=-x(T/y)|y=0Tw-T=Re1/(n+1)|θ(0)|, where Re=ρU2-nxn/μ refers to the local Reynolds number.

2.2. Entropy Generation Analysis

Entropy generation analysis concerned with the power-law non-Newtonian fluid flow over open parallel microchannels embedded within a continuously permeable moving surface at prescribed surface temperature in the presence of viscous dissipation. Thus, heat transfer (ST) and friction irreversibilities (SF) are included within the local volumetric rate of entropy generation. The rate of entropy generation will be obtained based on the previous solutions of the boundary layer for fluid velocity and temperature. According to Woods , Khan and Gorla , and Hung , the local volumetric rate of entropy generation for power-law non-Newtonian flow is given by (16)Sg′′′=kT2[(Tx)2+(Ty)2]+μT|uy|n+1=ST′′′+SF′′′, where k is thermal conductivity. In the present work, the integration of the above local entropy generation is done only along the width of the surface (z-direction) due to considering the impact of embedded microchannels within the permeable surface. This type of integration leads to study the effects of combined slip/no-slip conditions on local entropy generation rates. With the intention of considering the effect of the embedded open parallel microchannels within a permeable surface, integration over the width of the surface is applied over the local rate of entropy generation adjacent to the wall. The cross-stream (z) dependence arises from interspersed no-slip (subscript ns) and slip-flow (subscript s) solutions of the boundary layer equations. Therefore, the integration over the width of the surface from 0zW consists of m separate integrations over each microchannel surface width, 0zWs+2d, as well as the remaining no-slip portion of the plate, which is interspersed between these microchannels and covers a range of 0zW-mWs (see Figure 1(b)). Thus, by performing the integrations and assuming an equal number of microchannels and no-slip gaps interspersed between those microchannels (see Figure 1(b)), it can be shown that (17)Sg′′=ST′′+SF′′, where (18)ST′′=0m(Ws+2d)ST,slip′′′dz+0W-mWsST,no-slip′′′dz,SF′′=0m(Ws+2d)SF,slip′′′dz+0W-mWsSF,no-slip′′′dz. Moreover, the dimensionless local entropy generation rate is defined as a ratio of the present local entropy generation rate Sg and a characteristic entropy generation rate Sg0′′, called entropy generation number Ns. Here, the characteristic entropy generation rate, based on the width of the surface, is defined as (19)Sg0′′=kΔT2WL2T2, where L is characteristic length scale. In addition, the nondimensional geometric parameters are defined as (see Figure 1(b)) (20)λ=Ws+2dW,ς=dW. Consequently, the entropy generation number is expressed as (21)Ns=Sg′′Sg0′′=k2X2θs2(0)[mλ]+k2X2θns2(0)[1+2mς-mλ]+Re(2/(n+1))X2θs2(0)[mλ]+Re(2/(n+1))X2θns2(0)[1+2mς-mλ]+BrΩReX2|fs′′(0)|(n+1)[mλ]+BrΩReX2|fs′′(0)|(n+1)[1+2mς-mλ], where X, Re, Br, and Ω are, respectively, the nondimensional surface length, the Reynolds number, the Brinkman number, and the dimensionless temperature difference. These parameters are given by the following relationships: (22)Br=μUn+1xn-1kΔT,Re=U2-nxnν,X=xL,Ω=ΔTT. The Bejan number is defined as the ratio of heat transfer irreversibility to total irreversibility due to heat transfer and fluid friction for the power-law non-Newtonian boundary layer flow. Bejan number is given by (23)Be=HeattransferirreversibilityEntropygenerationnumber=11+Φ, where Φ is the irreversibility distribution ratio which is given by (24)Φ=FluidfrictionirreversibilityHeattransferirreversibility. As the Bejan number ranges from 0 to 1, it approaches zero when the entropy generation due to the combined effects of fluid friction and magnetic field is dominant. Similarly, Be>0.5 indicates that the irreversibility due to heat transfer dominates, with Be=1 as the limit at which the irreversibility is solely due to heat transfer. Consequently, 0Φ1 indicates that the irreversibility is primarily due to the heat transfer irreversibility, whereas for Φ>1 it is due to the fluid friction irreversibility. The entropy generation number, Ns in (21) together with Bejan number in (23) will be used for the evaluation of the present study.

3. Results and Discussion

The nonlinear governing partial differential equations are converted into a set of nonlinear ordinary differential ones through similarity transformations technique and then solved numerically by the Dormand-Prince pair and shooting method. The computed numerical results are shown graphically in Figures 214. As a test of the accuracy of the solution, a comparison between the present code results and those obtained previously is presented. Although the main focus of this paper is entropy generation, graphical presentations of local skin friction and local Nusselt number are required in order to understand the mechanisms of entropy generation along micropatterned surface. Therefore, in the first step, the effects of involved parameters of the problem on flow and heat transfer are displayed. After that, the entropy generation numbers, as well as the Bejan number, for various values of the involved parameters are evaluated.

(a) Distribution of velocity as function of η for various values of K when fw=0.2, n=0.8. (b) Distribution of temperature as function of η for various values of K when fw=0.2, n=0.8, s=0.1, Ec=0.1, k=0.1, and Pr=5.

(a) Distribution of velocity as function of η for various values of n when fw=0.2, K=0.1. (b) Distribution of temperature as function of η for various values of n when fw=0.2, K=0.1, s=0.1, Ec=0.1, k=0.1, and Pr=5.

Variation of the (a) f(0) and (b) skin friction as function of K for various values of fw when n=0.8.

Variation of (a) f(0) and (b) skin friction versus K for various values of n when fw=0.2.

Local Nusselt number as function of K for various values of k and Pr when fw=0.2, s=0.1, n=0.8, and Ec=0.1.

Local Nusselt number as function of K for various values of n when fw=0.2, s=0.1, k=0.1, Pr=5, and Ec=0.1.

Local Nusselt number as function of K for various values of fw when n=0.8, s=0.1, k=0.1, Pr=5, and Ec=0.1.

Local Nusselt number as function of K for various values of s when n=0.8, fw=0.2, k=0.1, Pr=5, and Ec=0.1.

N s as a function of K for various values of m and (a) n=0.8. (b) n=1. (c) n=1.2 when fw=0.2, Pr=5, Ec=0.1, k=0.1, s=0.1, X=0.03, BrΩ-1=0.1, Re=10, ζ=0.00001, and λ=0.0001.

Bejan number versus K for various values of m and (a) n=0.8. (b) n=1. (c) n=1.2 when fw=0.2, Pr=5, Ec=0.1, k=0.1, s=0.1, X=0.03, BrΩ-1=0.1, Re=10, ζ=0.00001, and λ=0.0001.

(a) Ns as a function of K for various values of ζ and λ when n=0.8, fw=0.2, Pr=5, Ec=0.1, k=0.1, s=0.1, m=100, X=0.03, BrΩ-1=0.1, and Re=10. (b) Bejan number as a function of K for various values of ζ and λ when n=0.8, fw=0.2, Pr=5, Ec=0.1, k=0.1, s=0.1, m=100, X=0.03, BrΩ-1=0.1, and Re=10.

(a) Ns as a function of K for various values of Ec and n when fw=0.2, Pr=5, k=0.1, s=0.1, X=0.03, m=100, BrΩ-1=0.1, Re=10, ζ=0.00001, and λ=0.0001. (b) Bejan number as a function of K for various values of Ec and n when n=0.8, fw=0.2, Pr=5, k=0.1, s=0.1, X=0.03, m=100, BrΩ-1=0.1, Re=10, ζ=0.00001, and λ=0.0001.

(a) Ns as a function of K for various values of fw and n when Pr=5, Ec=0.1, k=0.1, s=0.1, X=0.03, m=100, BrΩ-1=0.1, Re=10, ζ=0.00001, and λ=0.0001. (b) Bejan number as a function of K for various values of fw and n when Pr=5, Ec=0.1, k=0.1, s=0.1, X=0.03, m=100, BrΩ-1=0.1, Re=10, ζ=0.00001, and λ=0.0001.

3.1. Effects on Flow and Heat Transfer

In order to verify the accuracy of the present results, our results are compared for the local skin-friction coefficient and the local Nusselt number to those of previous studies for some special cases. Table 1 proves that the present numerical results agree well with those obtained by Sakiadis , Fox et al. , Chen , Jacobi , and Mahmoud  for special case of n=1, K=0, M=0, fw=0, Pr=0.7, Ec=0, s=0, and k=0.0. Moreover, Table 2 indicates another comparison of our work for the local skin friction coefficient, -f(0)|f(0)|(n-1) and temperature gradient at the wall |θ(0)|, respectively, with those obtained by Mahmoud  at special case of constant surface temperature (k=0). Our results are found to be in excellent agreement with previous results as seen from the tabulated results.

Comparison of the |f(0)| and |θ(0)| between the present results and those obtained previously for special case of n=1, K=0, fw=0.0, Pr=0.7, Ec=0.0, s=0.0, and k=0.0.

| f ( 0 ) | | θ ( 0 ) |
Sakiadis  Fox et al.  Chen  Mahmoud  Present Jacobi  Chen  Mahmoud  Present
0.44375 0.4437 0.4438 0.44375 0.44375 0.3492 0.34925 0.34925 0.34925

Comparison of the skin friction -f(0)|f(0)|n-1 and |θ(0)| between the present results and those obtained previously for special case of n=0.8, K=0.1, Pr=10, Ec=0.1, s=0.1, and k=0.0.

f w Mahmoud  Present results
- f ( 0 ) | f ( 0 ) | n - 1 | θ ( 0 ) | - f ( 0 ) | f ( 0 ) | n - 1 | θ ( 0 ) |
−0.5 0.3619 0.0303 0.3619 0.0303
−0.2 0.4339 0.6604 0.4339 0.6604
0.0 0.4865 1.2914 0.4865 1.2914
0.2 0.5425 2.0490 0.5425 2.0490
0.5 0.6326 3.3460 0.6326 3.3460

Figure 2(a) presents the velocity profiles f(η) as function of η for various values of slip coefficient K when fw=0.2, n=0.8. The dominating nature of the slip on the boundary layer flow is clear from this figure. When partial slip occurs, the flow velocity near the surface is no longer equal to the velocity of moving surface. One can see that in the presence of slip, as K increases, f(η) near to the wall is decreased and then increases away from it resulting an intersection in the velocity profile. Physically, the presence of velocity slip on the moving surface within stationary fluid has tendency to decrease fluid velocity adjacent to the wall, causing the hydrodynamic boundary layer thickness to increase. In all cases the velocity vanishes at some large distance from the surface. The effect of slip coefficient K on temperature profile is illustrated in Figure 2(b) when fw=0.2, n=0.8, s=0.1, Ec=0.1, k=0.1, and Pr=5. It can be observed that an increase with slip coefficient tends to enhance temperature in the boundary layer. Moreover, decreasing the values of the slip coefficient leads to thinning of the thermal boundary layer thickness.

Figures 3(a) and 3(b) illustrate the influence of the power-law index parameter n, from shear-thinning fluids (n=0.4) to shear-thickening fluids (n=1.2) on nondimensional velocity and temperature profiles, respectively. For non-Newtonians, the slope of the shear stress versus shear rate curve will not be constant as we change the shear rate. As explained, when the viscosity decreases with increasing shear rate, we call the fluid shear thinning. Having a power-law index n<1 is referred as a shear-thinning fluid. Thus, a reduction in the shear layer (when compared with Newtonian fluid flow) is a characteristic feature of non-Newtonian fluids when n<1. One explanation of shear thinning is that asymmetric particles are progressively aligned with streamlines, an alignment that responds nearly instantaneously to changes in the imposed shear; after complete alignment at high shear the apparent viscosity becomes constant . In the opposite case where the viscosity increases as the fluid is subjected to a higher shear rate, the fluid is called shear thickening having an index n>1 . These figures indicate that the velocity profiles decrease with the increase of n in velocity boundary layer but this consequence is not very noticeable adjacent to the wall (see Figure 3(a)). One can see that, in the presence of velocity slip, as n increases, nondimensional velocity f(η) increases near to the wall and then decreases away from it resulting an intersection in the velocity profile. Consequently, an increase of n tends to reduce boundary layer thickness; that is, the thickness is much large for shear thinning (pseudoplastic) fluids (0<n<1) than that of Newtonians (n=1) and shear thickening (dilatant) fluids (1<n<2). It is noted, the temperature profile enhances as n increases and the power-law index n has a tendency to increase the thickness of the thermal boundary layer.

Figures 4(a) and 4(b) display variation of the f(0) and local skin friction coefficient respectively, versus K for various values of fw when n=0.8. It is interesting to note that the slip coefficient can successfully decrease local skin friction coefficient along surface. Besides, it is worth mentioning to note that the effect of velocity slip on both f(0) and skin friction is more significant in the suction case (fw>0), than injection (fw<0), specially at high suction parameter since gradient of the f(0) versus K is much higher in the presence of suction. Furthermore, the suction/injection parameter has been potential to control velocity adjacent to the wall in the slip boundary condition problems, specially, at higher values of K. An increase of suction decreases nondimensional velocity at the wall while injection depicts opposite effects. Besides, injection fluid into the hydrodynamic boundary layer decreases the local skin-friction coefficient, while increasing the suction parameter enhances the local skin-friction coefficient.

The effect of the power law index parameter n and K on (a) fluid velocity adjacent to the wall f(0) and (b) the local skin friction coefficientis illustrated in Figures 5(a) and 5(b), respectively. An increase of the index parameter n tends to increase the fluid velocity adjacent to the wall and thereby to reduce velocity gradient at the wall. The skin friction coefficient is much larger for shear thinning (pseudoplastic) fluids (0<n<1) than that of shear thickening (dilatant) fluids (1<n<2), as clearly seen from Figure 5(b). The gradient of the f(0) versus K is much higher in the shear thinning fluids. Thus, it is interesting to note that the effect of partial slip on both f(0) and skin friction is significant in shear thinning fluid (n<1) then shear thickening fluid (n>1). The reason goes back to the power-law index of non-Newtonian fluids based on the consistency index for non-Newtonian viscosity equation (10). Physically, for pseudoplastic non-Newtonian fluids (n<1) viscosity decreases as shear rate increases (shear rate thinning). On the other hand, for dilatant (n>1) viscosity increases as shear rate increases (shear rate thickening). Consequently, the effect of increasing values of power-law index parameter n is to increase the fluid velocity adjacent to the wall while leading to decrease the skin friction coefficient. The computed value of Figure 5(b) can be compared here for special case (n=0.8, K=0.1) with that obtained by Mahmoud , where -f(0)|f(0)|n-1 is equal to 0.5425 and it exhibits perfect agreement.

The effect of the surface temperature parameter k on local Nusselt number is shown in Figure 6. It is seen that local Nusselt number increases with the increase in surface temperature parameter. It is noted that the heat transfer rate increases with the increase of Prandtl number for fixed values of K and k. It is interesting to note that what we can do to reach a high heat transfer rate is to use a non-Newtonian fluid with low power-law index parameter n. This is possible and suitable way to attain a high heat transfer rate (see Figure 7). In general the results show a decrease in the Nusselt numbers with an increase in the power law index parameter n where the Nusselt number is higher for shear thinning (pseudo plastic) fluids (0<n<1) than that of shear thickening (dilatant) fluids (1<n<2). The variation of local Nusselt number as function of K for various values of fw when n=0.8, s=0.1, k=0.1, Pr=5, and Ec=0.1 is illustrated in Figure 8. For a fixed value of K increasing suction results in an increase in the Nusselt number. Besides, the impact of increasing injection is seen to reduce the heat transfer, similar to the case of increasing slip coefficient. Figure 9 depicts the effect of heat generation (s>0) or absorption parameter (s<0) on local Nusselt number. The same consequence for the slip coefficient is illustrated; as K decreases the heat transfer rate is increased. In addition, it is noted that an increase in heat generation parameter tends to decrease heat transfer rate whereas heat absorption acts in the opposite way. Physically, the reason is that the heat generation presence will enhance the fluid temperature adjacent to the wall and thus temperature gradient at the surface decreases, thus decreasing the heat transfer at the surface. But as the heat absorption increases, the local Nusselt number increases. This is because increasing the heat absorption generates to layer of cold fluid near to the heated surface.

3.2. Effects on Entropy Generation Analysis

The following section presents the results for entropy generation analysis of power-law fluid flow over open parallel microchannels embedded within a continuously permeable moving surface at PST in the presence of heat generation/absorption and viscous dissipation. The entropy generation number as a function of the change in the number of embedded open parallel microchannels for various values of power-law index parameters, n=0.8, n=1, and n=1.2, is illustrated in Figures 10(a), 10(b), and 10(c), respectively. Here, it is demonstrated that the design of embedded open parallel microchannels yields an interesting result with respect to reduction of the entropy generation of convective heat transfer over moving surface. We know that the slip inside the open microchannels is considered, particularly in cases where a hydrophobic microchannel surface exists. First of all, it should be remembered that an increase in the slip coefficient tends to decrease both heat transfer and friction losses along a stretching surface within stationary fluid. On the other hand, the entropy generation number Ns is comprised of friction and heat transfer irreversibilities. Thus, the entropy generation number decreases by increasing the slip coefficient in all three cases of shear thinning (pseudoplastic) fluids when n=0.8 (see Figure 10(a)), Newtonian fluid when n=1 (see Figure 10(b)), and shear thickening (dilatant) fluids when n=1.2 (see Figure 10(c)). The intersection point between the graphs in all three figures determines different trends resulting from the larger slip coefficients, as compared to the smaller slip coefficients (before the intersection point). There is an intersection point within the graphs named as “critical point.” Afterward, the influence of the slip coefficient is considerable on the system and the region is called “effectual region.” As a greater surface area results in an increased surface friction due to a larger number of embedded microchannels, when the slip coefficient inside the microchannels is not sufficient, an increase in the number of microchannels tends to increase the entropy generation number, due to added surface friction. This phenomenon is much more pronounced when the values of slip coefficient are less than critical point. Consequently, extra effort and cost associated with micromachining the surface to achieve a desired embedded microchannel surface cannot be warranted. However, for high values of the slip coefficient (after the critical point, inside effectual region), an increase in the number of open parallel microchannels can effectively decrease the entropy generation number. Consequently, it is necessary to consider the projected values of the slip coefficients inside the microchannels required in order to establish an appropriate design of the open parallel microchannels embedded within the moving surface due to a reduction in the exergy losses. This can be effectively achieved by considering hydrophobic open microchannels with high slip coefficients. It is interesting to note that the entropy generation number is lower for higher power-law index parameters, whereby the presence of the shear thinning (pseudoplastic) fluids creates entropy along the surface, with a noticeable opposite effect resulting from shear thickening (dilatant) fluids. Another interesting aspect of the problem is that the critical point moves slightly rightward for higher index parameters. This means that wider range of slip coefficients can be beneficial for the shear thinning than shear thickening fluids.

Effects of number of microchannels on Bejan number for various values of power-law index parameter at n=0.8, n=1, and n=1.2 are illustrated in Figures 11(a), 11(b), and 11(c), respectively. It indicates that an increase in the number of microchannels causes an increase of the Bejan number. At high m, the Bejan number is high due to a small irreversibility distribution ratio Φ where the temperature irreversibilities are prominent. An increase in the number of microchannels can verify the desirable circumstances required for our system in order to reduce entropy generation where it is possible to efficiently take advantage of slip flow boundary conditions. As explained before, partial slip decreases both friction and heat transfer irreversibilities. However it is obvious from the figure that the reduction rate of friction irreversibilities is much higher compared with heat transfer irreversibilities since the Bejan number increases by K. It is also noted that an increase in n accompanies a slightly reduction in the Bejan number. This is because of the index parameter influences on heat transfer rate which shows a decreasing effect.

Figure 12(a) shows change of the entropy generation number with varying surface nondimensional geometric parameters and the slip coefficient. The entropy generation number shows an increase at higher microchannel depths, whereas it decreases at higher microchannel widths. This suggests that an increase in the width of the microchannels tends to enhance the slip effects along the width of the surface, causing the entropy generation number to decrease. The effect of the nondimensional geometric parameters on the Bejan number is illustrated in Figure 12(b), which it increases with the increase in λ. It indicates that an increase in the width of the microchannels decreases the irreversibility distribution ratio with the increase of heat transfer irreversibilities. Further, it is also noted that the effect of microchannel depth on Bejan number could be considered insignificant compared with the microchannel width.

The influence of the Eckert number on Ns and Bejan number is shown in Figures 13(a) and 13(b), respectively, where it can be noted that an increase in the Ec results in a decrease in the both Ns and Be as the heat transfer irreversibility decreases. Figures 14(a) and 14(b) display the effect of the suction/injection parameter on the entropy generation number and Bejan number, respectively, for various values of power-law index parameters. The presence of the suction creates entropy along the surface, with a noticeable opposite effect resulting from injection. Moreover, Bejan number decreases when fw is increased for injection. It is also evident that Bejan number is increased in the case of suction, when compared to the injection. The suction/injection parameters can be more significant on the system for lower index parameters since the profiles are closer to each other when n=1.

4. Conclusion

This study is focused on entropy generation analysis of power-law non-Newtonian fluid flow over open parallel microchannels embedded within a continuously permeable moving surface at PST in the presence of heat generation/absorption and viscous dissipation. The heat transfer results suggest that the Nusselt number is increased with the surface temperature parameter, Prandtl number, internal heat absorption, and suction, whereas it is decreased with the slip coefficient, power-law index parameter, heat generation, and injection. After that, based on EBSM, the entropy generation number is formulated by an integral of local entropy generation rate on the width of the surface. It is noted that the entropy generation number decreases by increasing the slip coefficient in all three cases of shear thinning fluids, Newtonian fluid, and shear thickening fluids. It is interesting to note that for high values of the slip coefficient (after the critical point), an increase in the number of open parallel microchannels (m) can effectively reduce the entropy production. Thus, the results demonstrate that, in the present surface microprofiling design, the value of slip coefficient K is suggested to be selected more than critical point, reaching an effective reduction in entropy generation by increasing number of microchannels. Moreover, Ns decreases with the increase of injection, Ec and λ, while it increases with the increase of suction and ζ. It is hoped that the present work can be used for understanding more complex surface problems regarding the manipulation of non-Newtonian fluids in fluid mechanic systems.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.