Boundary Layer Flow of a Nanofluid past a Stretching Sheet

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    Ali Alhamaly

    ME 536 Report 1

    Boundary Layer Flow of a Nanofluid past aStretching Sheet

    1. Introduction

    In this report, the fluid flow over linearly stretching flat sheet of a nanofluid is investigated.

    The report is mainly reproduction of the analysis and results found in [1]. The main objective is to

    investigate the fluid flow, heat transfer, and mass transfer in the boundary layer of a fluid with

    nanoparticles impeded in it.

    The flow situation is considered as two dimensional boundary layer flow of a nanofluid

    over a linearly stretching flat plat. The velocity of the flat plate is = where is a parameterthat signifies the rate of stretching of the flat plate. is the streamwise coordinate measured fromthe center of the plate where its velocity is zero. Figure 1 shows a schematic of the geometry

    considered.

    Figure 1. Geometry of the problem taken from Fig. 1 In Ref [1].

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    The stretching flat plate is at temperature which is not known a priori. Instead, is theresult of a convective heat transfer process from below. This convection process is characterized

    by a fluid temperature and a heat transfer coefficient . The temperature of the fluid far awayfrom the plate is

    . The nanoparticle volume fraction at the flat plate is

    while at far vertical

    distant form the plate the volume fraction is .2. Mathematical Model

    The governing equations for the problem described in the last sections are: continuity,

    momentum, energy, and concentration. These equations are reduced for the case of two

    dimensional laminar boundary layer to give [1]:

    where

    and

    are the velocity components along the

    and

    directions, respectively,

    is the

    kinematic viscosity of the base fluid, is the thermal diffusivity of the base fluid, =/ is the ratio of nanoparticle heat capacity to the base fluid heat capacity, is theBrownian diffusion coefficient, is the thermophoretic diffusion, is the fluid temperature,and is the nanopartilces volume fraction.

    + = 0 (1)

    + = 2 2 (2)

    + = 22 + + 2 (3)

    + = 22 + 22 (4)

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    The boundary conditions for the equations 1-4 is given by:

    The system of equations 1-4 with the boundary conditions 5, 6 permit similarity

    transformation. Exploiting this fact we define the following dimensionless quantities:

    Using the similarities variables in Eq.7, Equations 1-4 becomes:

    The boundary conditions in Equations 5 and 6 can be transformed to:

    The dimensionless parameters appearing in Equations 9-11 are given by:

    @ = 0 , = , = 0,

    = , = (5)

    , = 0, = 0, = , = (6)

    = , = , = , = (7)

    + 2 = 0 (8) + + +2 = 0 (9)

    + + = 0 (10)

    @ = 0 , = 0, = 0, = [1 ], = 1 (11)

    , = 0, = 0, = 0 (12)

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    Where is the Prandtl number,is the Lewis number, is Brownian motion parameter, is thermophoresis parameter, and is the Biot number.3. Solution Method

    Equations 8-10 subjected to the boundary conditions given in Equations 11,12 were solvednumerically using MATLAB built in function bvp5c. It is worth to notice that Eq. 8 with

    corresponding boundary conditions has an analytical solution, hence Eq.8 need not to be solved

    numerically. The analytical solution is given by:

    bvp5c does not accept second order differential equations, hence the Equations 9,10 need

    to be converted to system of first order differential equations. To do this, we define new variables

    as:

    Using the definitions in Eq. 15 Equations 9 and 10 becomes:

    = , = , = ,

    = , =

    2

    (13)

    = 1 (14)

    = , 2 = , 3 = , 4 = (15)

    (

    2

    3

    4 ) = 2[1 2 +24 +22]

    4

    [1 4 +/ {[1 2 +24 +22]}] (16)

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    The boundary conditions in Equations 11 and 12 can be transformed to:

    4. Result Comparison

    In this section, results obtained using MATLAB bvp5c function is compared with the

    results given in [1].

    Tables 1 through 4 are reproduction of Tables 1 through 5 in [1]. Table 3 here is equivalent to

    Tables 3 and 4 in [1].

    @ = 0 , 2 =1 , 3 = 1 (17)

    , = 0 , 3 = 0 (18)

    Ref [1] bvp5c0.07 0.0656 0.06557

    0.20 0.1691 0.16908

    0.70 0.4539 0.45391

    2.00 0.9114 0.91135

    7.00 1.8954 1.89540

    20.00 3.3539 3.35390

    70.00 6.4622 6.46219

    0[1] 0bvp5c 0[1] 0bvp5c0.1 0.1 0.9524 0.95232 2.1294 2.12939

    0.2 0.1 0.5056 0.50556 2.3819 2.381860.3 0.1 0.2522 0.25215 2.4100 2.41002

    0.4 0.1 0.1194 0.11941 2.3997 2.39965

    0.5 0.1 0.0543 0.05425 2.3836 2.38357

    0.1 0.2 0.6932 0.69298 2.2740 2.27371

    0.1 0.3 0.5201 0.52003 2.5286 2.52822

    0.1 0.4 0.4026 0.40257 2.7952 2.79476

    0.1 0.5 0.3211 0.32106 3.0351 3.03479

    Table 1. Comparison of results for 0, = = = 0, =

    Table 2. Comparison of results for 0and 0 , = 10, = 10 =

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    0[1]

    0bvp5c

    0[1]

    0bvp5c

    0.1 0.1 0.0929 0.09291 2.2774 2.27742

    0.2 0.1 0.0927 0.09273 2.2490 2.24896

    0.3 0.1 0.0925 0.09255 2.2228 2.22282

    0.4 0.1 0.0923 0.09234 2.1992 2.19920

    0.5 0.1 0.0921 0.09213 2.1783 2.17835

    0.1 0.2 0.0873 0.08733 2.3109 2.31094

    0.2 0.2 0.0868 0.08676 2.3168 2.31682

    0.3 0.2 0.0861 0.08612 2.3261 2.32607

    0.4 0.2 0.0854 0.08539 2.3392 2.33924

    0.5 0.2 0.0845 0.08454 2.3570 2.35704

    0.1 0.3 0.0769 0.07688 2.3299 2.32995

    0.2 0.3 0.0751 0.07508 2.3569 2.35693

    0.3 0.3 0.0729 0.07292 2.3900 2.38997

    0.4 0.3 0.0703 0.07027 2.4303 2.43031

    0.5 0.3 0.0700 0.06697 2.4792 2.47923

    0.1 0.4 0.0597 0.05966 2.3458 2.34583

    0.2 0.4 0.0553 0.05535 2.3903 2.39025

    0.3 0.4 0.0503 0.05027 2.4411 2.44114

    0.4 0.4 0.0445 0.04455 2.4967 2.49667

    0.5 0.4 0.0386 0.03860 2.5529 2.55287

    0.1 0.5 0.0383 0.03833 2.3560 2.35604

    0.2 0.5 0.0325 0.03250 2.4071 2.40711

    0.3 0.5 0.0269 0.02690 2.4576 2.45763

    0.4 0.5 0.0220 0.02199 2.5039 2.50386

    0.5 0.5 0.0180 0.01801 2.5435 2.54351

    0[1] 0bvp5c 0[1] 0bvp5c 0[1] 0bvp5c1 0.1 5 0.0789 0.07893 1.5477 1.54768 0.2107 0.21069

    2 0.1 5 0.0806 0.08062 1.5554 1.55543 0.1938 0.19382

    5 0.1 5 0.0735 0.07345 1.5983 1.59832 0.2655 0.26549

    10 0.1 5 0.0387 0.03868 1.7293 1.72929 0.6132 0.61319

    5 1.0 5 0.1476 0.14756 1.6914 1.69138 0.8524 0.85244

    5 10.0 5 0.1550 0.15499 1.7122 1.71223 0.9845 0.98450

    5 100 5 0.1557 0.15565 1.7144 1.71438 0.9984 0.99844

    5 5 0.1557 0.15572 1.7146 1.71462 1.0000 0.999985 0.1 10 0.0647 0.06469 2.3920 2.39198 0.3531 0.35313

    5 0.1 15 0.0600 0.05999 2.9899 2.98994 0.4001 0.40009

    5 0.1 20 0.0570 0.05704 3.4881 3.48815 0.4296 0.42959

    Table 4. Comparison of results for 0, 0, and 0, = = . 5

    Table 3. Comparison of results for 0and 0 , = 10, = 10 = .1

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    Table 1 shows results pertain to circumstances when the stretching sheet is at a constant

    temperature and the Brownian and the thermophoresis effects are absent. Hence, table 1 represents

    limiting cases that is used to test the capability of the numerical solver to handle singular boundary

    conditions. As can be seen from Table 1, the results obtained matches Ref [1] to four digits. Notice

    also that the wide range of Prandtl number considered in Table1 test the solver capability to solve

    for different thermal boundary layer thicknesses. This requires different integration limits

    depending on the Prandtl number. Table 2 shows another limiting case for the temperature

    boundary condition while keeping the mass transfer physics intact. Again the comparison shows

    great agreement. Notice that for some combinations of and the degree of agreement is onlyto three digits instead of four. Tables 3 and 4 represents results for regular parameter values. The

    cases considered have wide range of variation for all the parameters affecting the solution. The

    comparison shows great agreement between the current results and Ref [1].

    Figures 2 and 3 are reproduction of Figures 3 and 7 in Ref [1] respectively. These figures

    show the variation of the dimensionless temperature and nanoparticle concentration within the

    boundary layer with Lewis number as a varying parameter. Figures 2 and 3 show exact behavior

    and trend as their counterparts in Ref [1].

    Figures 4 and 5 are reproduction of Figures 4 and 8 in Ref [1] respectively. These figures

    show the variation of the dimensionless temperature and nanoparticle concentration within the

    boundary layer with Biot number as a varying parameter.

    Works Cited

    [1] A. Aziz and O. D. Makinde, "Boundary layer flow of a nanofluid past a stretching sheet with aconvective boundary condition,"Int. J. Therm. Sci., vol. 50, pp. 1326-1332, 2011.

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    Figure 2.Effect of on temperature profiles. = = . 1 , = 5 , = . 1. Reproduction ofFigure 3 In Ref [1].

    Figure 3.Effect of on concentration profiles. = = . 1 , = 5 , = . 1. Reproduction ofFigure 7 In Ref [1].

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    Figure 4.Effect of on temperature profiles. = = . 1 , = 5 , = 5 . Reproduction ofFigure 4 In Ref [1].

    Figure 5.Effect of on concentration profiles. = = . 1 , = 5 , = 5 . Reproduction ofFigure 8 In Ref [1].