“Effects of Heat Source Location On Natural Convection In A Square Cavity”

DOI : 10.17577/IJERTV1IS6332

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“Effects of Heat Source Location On Natural Convection In A Square Cavity”

Effects Of Heat Source Location On Natural Convection In A Square Cavity

Basavaraj.Kusammanavar*, Dr. K.S.Shashishekar**, Dr.K.N.Seetharamu***

*M.Tech student, Department of Mechanical Engineering, SIT, VTU, Tumkur, Karnataka, India

** Professor and Dean (academic), Department of Mechanical Engineering, SIT, VTU, Tumkur, Karnataka, India

*** Associate Professor, Department of Mechanical Engineering, PES Institute of Technology Bangalore, India

Abstract

Natural convection in a closed square cavity has occupied the centre stage in many fundamental heat transfer analysis which is of prime importance in certain technological applications. Infact buoyancy driven convection in a sealed cavity with differentially heated isothermal walls is a prototype of many industrial applications such as energy efficient buildings, operation and safety of nuclear reactor and convective heat transfer associated with electronic cooling equipment. The internal flow problems are considerably more complex than external ones.

In electronic systems normally the heat generating bodies exist within the cavity. The effect of the presence of heat source on the mass flow rate and heat transfer is considered in present case for investigation. In order to verify the methodology of using fluent, the commercial software, the available problem in the literature is verified for parametric study on the location of heat source and its strength is considered for study. In present work, the given source is split into two parts and its effect on the flow rate and heat transfer is studied. An attempt is made for the best location of the heat source in the cavity so that it can be used in the electronic equipment generating heat.

Keywords Electronic equipment, Heat Source, Natural Convection, Square Cavity, Stream function

Nomenclatures

AR = Aspect ratios, H/L, Gr = Grashoff Number

g = Acceleration due to gravity (m/s2), Ra = Rayleigh number

H = Height of the cavity (m), Pr = Prandtl number

h = Convective heat transfer coefficient (W/m2K)

k = Thermal conductivity (W/m.K), Nu = Nusselt number

L = Length of the cavity (m), T = Temperature (K) q = Heat flux (W/m2)

Greek Symbols

= Thermal diffusivity (m2/s)

= Volume expansion coefficient (K-1) = Fluid Density (kg/m3)

= Kinematic viscosity (m2/s) = Dimensionless temperature Subscript

b = Bottom wall s = Side wall

  1. INTRODUCTION

    One of the objectives of present day electronics industry is to reduce the size of an electronic device as small as possible with a simultaneous increase in the processor speed. This has made the PCBs to get cramped with miniscule electronic components like transistors, capacitors etc. in a large number on to a miniaturized PCB board. The repercussion of this is the excessive heat generation from the PCB boards which has to be driven away from the source, if not; the processor performance will be affected.

    The problem of convective heat transfer in an enclosure has been studied extensively because of the

    wide application of such process. The convection in enclosures for various different temperature boundary conditions and natural convective cooling of heat- dissipating electronic components, located in square enclosure, and cooled by an isothermal side wall has been studied by Tanmay and Basak [1]. Davis and Jones [2] studied the pure natural convection with uniformly heated walls. Papanicolaou and Gopalakrishna [3] simulated the natural convection in a horizontal, enclosed air layer due to a discrete, constant heat flux source at the bottom surface. The parameters studied are the overall aspect ratio (length/height of the layer), the ratio of source length to total length, and the Rayleigh number. Nguyen and Prudhomme [4] studied the free convection flow in a horizontal rectangular cavity submitted to a uniform heat flux at the horizontal as well as vertical walls. Based on the analytical solutions for the flow amplitude in terms of the Rayleigh numbers, the onset and development of convective flow are shown in details. The results indicate that flow patterns generally consist of isothermal side walls and uniform and non uniform heating of bottom wall because of buoyancy forces induced. Numerical solutions were obtained for Pr = 0.71 to 10 in the range of Ra = 103 to

    105. They got smooth solution in terms of Stream functions and isotherm contours for wide ranges of Pr

    and Ra with uniform and non-uniform heating of the bottom wall. Iwatsu et al. [5] performed numerical studies for the viscous flow of a thermally stratified fluid in a square container.

  2. SIMULATION MODEL

    The present study is based on the configuration of Tanmay and Basak [1] and Aydin and Yang [15] where the isothermal side wall and heat source at the bottom wall is replaced with a constant flux heat source for the entire length as well as at different locations of the bottom wall. Then the heat source was split into two parts and the effects of Rayleigh Number and location of heat source at different length of the bottom surface on natural convection heat transfer was studied, which is physically more realistic.

    A cavity as illustrated in Figs 2.1 to 2.6 was chosen for simulating natural convective flow and heat transfer characteristics. This problem was selected since the majority of work in the literature is dealing with convection in enclosures restricted to the cases of uniform temperature heating, varying temperature heating and heat flux in a fixed location of different geometry, like rectangular, square, cylindrical, and spherical cavities. In the present work heat source at different location is considered and analysis is carried out for Rayleigh number 103, 104, and 105 to identify the effective location of heat source in the enclosure.

    Also, sufficient number of publications are available for the comprehensive analysis on flow and heat transfer in closed cavities for Ra = 105 and for a single location of heat source. But in the present work the heat source is split into two halves and the analysis is carried out for Ra = 103, 104, and 105. The cavity of length (L), and height (H), has a hot bottom wall. The top wall is assumed to be adiabatic as shown in the Figs 2.1 to 2.6; the gravitational force is acting downwards. A buoyant flow develops inside the cavity because of thermally induced density gradient. Heat is transferred from the hot wall to cold wall.

    The parts excluding the heat source in the bottom wall and the entire upper wall are assumed to be adiabatic. The enclosure represents a practical system such as an air-cooled electronic device. The mass flow rate in the cavity is induced by the buoyancy force resulting from the heat source at the bottom wall. In the present work, the flow and heat transfer phenomena in the cavity are investigated for a series of Rayleigh numbers and effects of different locations of heat source. Symmetric placement of the heat source on either ends of the cavity as well as at the centre is also investigated. Also, efforts are made to identify the best location of the heat source among the different cases studied.

    This study includes additional computations for various locations of heat source of length L over the entire length of bottom wall and at lengths of L/2, L/4, and L/8 located at the centre and split at the bottom with the length of L/4 and L/8 located towards the left and the right corners of the wall and their effects on the heat transfer process is anayzed. The study was also conducted to identify the preferred location of the heat source. The results are presented in terms of the Local Nusselt number and maximum temperature at the heat source surface.

    A penalty finite Volume method with bi-quadratic rectangular elements has been used to solve the governing mass, momentum and energy equations. The numerical procedure adopted in the present study yields consistent performance over a wide range of parameters (Rayleigh number Ra=103, 104, and 105 while Prandtle number Pr=0.7).

  3. MATHEMATICAL MODEL

    Cavities as illustrated in Figs 2.1 to 2.6 were chosen for simulating natural convective flow and heat transfer characteristics. The cavity of length (L), and height (H), has a hot bottom wall with a uniform heat source of length L / L/2, L/4, and L/8 located at the centre and two constant heat fluxes of length L/4 and L/8 towards the left and right corner of the wall. The

    two cold vertical walls are at constant temperature Tc

    and the top wall is adiabatic. The gravitational force is

    acting downwards as shown in the Figs.2.1 to 2.6

    A buoyant flow develops because of thermally induced density gradient. Heat is transferred from the hot wall to cold wall

    Energyequation: u T v T

    x y

    (3.4)

    2T 2T

    x 2 y 2

    The governing equations for natural convection flow are conservation of mass, momentum and energy equations and they are written as

    Where, x and y are the dimensional co-ordinates along the horizontal and the vertical directions respectively: u and v are x and y components of

    u v velocity respectively.

    x y

    p 2u 2u

    x

    x2

    y2

    1 p 2 v

    2 v

    y

    x2

    y 2

    Continuity equation: 0

    (3.1)

    No-slip boundary conditions are specified at all walls,

    X-momentumequation:

    u v 0

    u u v u 1

    x y

    (3.2)

    3.1 Temperature and Heat flux Boundary Conditions

    Y-momentumequation:

    u v v v

    x y

    (3.3)

    g q"

    Following are the different cases considered for study

    For Bottom wall:

    Case I: Constant Heat flux for entire length of

    bottom wall

    Case II: Heat source of length L/2 at centre. Case III: Heat source of length L/4 at centre. Case IV: Heat source of length L/8 at centre.

    Case V: Heat source of length L/4 on either end of the Bottom wall

    Case VI: Heat source of length L/8 on either end of the Bottom wall

    3.2.2 Nusselt Number

    In order to determine the local Nusselt number, the temperature profiles are fit with quadratic (three nodal points near the wall are considered), cubic and bi- quadratic polynomials and their gradients at the walls are determined. It has been observed that the temperature gradients at the surface are almost the

    For Top wall: Sidewalls:

    T x, H 0,

    y

    T 0, y T L, y Tc

    (3.5)

    same for all the polynomials considered. Hence only a quadratic fit is made for the temperature profiles to extract the local gradients at the walls to calculate the local heat transfer coefficients from which the local Nusselt numbers are obtained. Integrating the local

    The changes of variables are as follows:

    Nusselt number over each side, the average Nusselt

    T T g Th Tc L3 Pr

    number for each side is obtained as

    c , Pr , Ra 2 =

    Th Tc

    L H

    g q" L4 Pr

    (3.6)

    Nu b Nu b dx (3.9), Nus

    Nus dy

    (3.10)

    k 2 0 0

    In the present investigation, the geometries have been created and discretized using Gambit 2.4. Fluent 6.3 CFD package is used to simulate the natural convection of air in cavities. The effect of various temperature and heat flux boundary conditions at the bottom wall (as mentioned above) is studied. The side walls are subjected to constant temperature and the top wall is adiabatic. The study was carriedout for various Raleigh numbers.

    3.2 Stream Function and Nusselt Number

    3.2.1 Stream Function

    The fluid motion is displayed using the stream function obtained from velocity components u and v . The relationship between stream function,

    and velocity components for two dimensional flows are given by Batchelor

  4. RESULTS AND DISCUSSION

    4.1 Verification of Present Methodology.

    Computations are carried out for Raleigh numbers from 103 to 105 and Pr = 0.71. Basak et al. [1] have studied for 103 to 105 with square cavity, for the cases of constant temperature and sinusoidally varying temperature at the bottom wall. However, in the present case, the study is extended to Ra = 103, 104 and 105 and Pr = 0.7 for different locations of heat source of different intensity. A constant bottom wall heat flux case is also included. The Local Nusselt numbers are computed by the present methodology for the values of Ra ranging from 103 to 105 with Pr =

    0.71 and are compared for different locations (cases) of heat source. The heat source location which provides minimum contour temperature is identified as the preferable location. Fig.4 shows streamlines and temperature profiles for the Case I and for remaining cases results are tabulated in Table.1. The agreement

    u and v

    y x

    (3.7)

    is found to be excellent for the first case which validates the present computations of Basak and

    This leads to a single equation:

    Tanmay [1].

    When Ra = 103, Pr = 0.71, q = 25 W/m2 (constant for

    2 2 u v

    x 2 y 2 y x

    (3.8)

    entire bottom wall).

    As seen from the Fig 4 (a) and Table 1, the local Nusselt number is minimum at the centre while it is

    Using the above definition of the stream function used for identifying the mass flow rate in the cavity, the positive sign of denotes anticlockwise circulation and the negative sign of clockwise circulation.

    maximum at the side walls. This is due to the conduction dominance at the centre and

    convection is dominance at the edges. For this case, Nusselt number is less because of conduction dominance. In Fig 4(d), the Contour plot shows that temperature is maximum at the centre of the cavity and reduces towards the side wall. The maximum temperature is 388 K. This is due to the heat concentration at the centre. Also, contour lines of temperature are symmetric about the centre axis of the cavity. This is again due to the heat flux being uniform along the bottom wall. Also, the stream function (mass flow /second) is 3.90 x 10-6 kg/s as shown in Fig 4(g). Mass flow rate is minimum, since conduction is dominant, which is confirmed from the less value of Nusselt number. Contours of stream function lines are symmetric about the central axis of the cavity as shown in the Fig 4 (g).

    When Ra = 104, Pr = 0.71, q = 25 W/m2

    (constant for entire bottom wall).

    As seen from the Fig 4 (b) and Table 1, maximum Nusselt number is 37.92, but still conduction is dominant in this case also. Also, as seen from the Fig

    4 (b) and Table.1, the local Nusselt number is minimum at the centre and is maximum at the side walls. This is due to the dominance of conduction at

    the centre, while convection is dominant at the edges. In Fig 4 (e), the contour plot indicates that temperature is maximum at the centre and reduces towards the side wall. The maximum temperature is 386 K. This is again due to the concentration of heat source at the centre. Also, contours of temperature lines are laterally shifted due to convection. As seen from the Fig 4 (h), mass flow rate increases to 5.67×10-5 kg/sec this is more as compared to the resultsfor case (i).

    When Ra = 105, Pr = 0.71, q = 25 W/m2 (constant for entire bottom wall). As seen in the fig 4 (c) and Table 1, the maximum Nu is 45.73. This indicates that convection is more dominant in this case. Nusselt number at the edges increases due to convection while decreases at centre due to conduction. As seen from the Fig 4 (f), the maximum temperature in the cavity is 355 K. Temperature decreases when Ra = 105 which is due to the high Rayleigh number. As Ra increases Nu increases and convection will dominate. As seen from the Fig 4 (i), Stream function value is 3.13×104 kg/sec. As Ra increases mass flow rate also increases.

    Fig. 4 (a), (b) and (c) variation of Local Nu with varying Ra, fig 4 (d), (e) and (f) Temperature contours, Fig 4 (g),

    (h) and (i) Stream function values fordifferent values of Ra.

    Similar analysis is carried out for the remaining cases for different heat source locations with Ra values (104

    and 105) while Pr = 0.71 Results are tabulated in the Table 1.

    Table 1 Summarized of Results for all six cases

    Case

    Ra No

    Max Temp(contour)

    (K)

    Max Stream function (Kg/s)

    Max Nusselt No

    Case I

    103

    388 K

    3.90E-06

    35.452

    104

    386.8536 K

    5.67E-05

    37.9295

    105

    358 K

    0.00031338

    45.5734

    Case II

    103

    441.156

    3.01E-06

    17.28

    104

    439.26

    3.95E-05

    18.8911

    105

    395

    2.57E-04

    34.5177

    Case III

    103

    494.5859

    1.73E-06

    22.1662

    104

    493.5846

    2.025883-5

    22.6065

    105

    447.3779

    0.000177553

    33.2992

    Case IV

    103

    547.4462

    9.69E-07

    33.0485

    104

    547.1213

    9.62E-06

    33.1515

    105

    514.2134

    0.000109647

    39.2608

    Case V

    103

    365.0072

    9.66E-07

    65.0914

    104

    365.0071

    8.80E-06

    65.3258

    105

    357.4418

    0.000158296

    69.78

    Case VI

    103

    362.9018

    2.28E-07

    83.8274

    104

    362.9072

    1.72E-06

    83.848

    105

    362.8526

    2.61E-05

    84.1389

    As seen from Table 1, of all the cases minimum temperature in the Square cavity is in the case I and V for Ra = 105. These are the preferred locations for the heat source. From Table 1, in case V and VI, the heat sources were split into two halves and this has resulted

    in reduction in maximum temperature attained in the cavity as compared to the rest of the cases. This indicates that by splitting the heat source, one can improve the heat transfer rate; hence it is preferable to always split the heat source in the cavity. Also from

    the above observation it is seen that as Ra increases Nusselt number and mass flow rate also increased, promoting heat transfer by convection.

  5. CONCLUSION

The effects of various locations of heat source at varied Rayleigh number and constant Prandtl number for the constant heat flux at the bottom wall, for cases

  1. for the entire length ii) for half iii) for quarter iv) for 1/8th of the total length with appropriate heat source strength was investigated. Also, splitting the heat source into two parts over the length of L/4, L/8 on each side of the bottom wall was investigated. The top wall was assumed adiabatic and side walls were assumed to be at constant temperature. The following conclusions have been drawn. The study showed that the flow pattern and heat transfer mechanism were significantly affected by the Rayleigh number, location of heat source and length of the heat source.

    1. It was observed that for Ra 104 conduction heat transfer was dominant for uniform heating of the entire length of the bottom wall.

    2. The mass flow rate of the medium was proportional to the length of the bottom wall

    3. The contours of stream function and isotherm were observed to be symmetric about the vertical axis for all the cases provided the

    4. Nusselt Number increases monotonically with increase in Ra suggesting the dominance of convection mode of heat transfer.

    5. Local Nusselt number for the case of splitting the heat source into two parts at the bottom wall was more than that of cases where sources located at single place for all Rayleigh numbers.

    6. Rayleigh number influences mass flow rate which in turn influences heat transfer.

    7. By splitting the heat source, the rate of heat transfer increases.

REFFERENCE

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