Simplified Correlation Equations of Heat Transfer

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    Journal of Energy and Power Engineering 6 (2012) 1543-1552

    Simplified Correlation Equations of Heat Transfer

    Coefficient during Phase Change for Flow inside Tubes

    Mahmoud A Hammad1

    and Abed Alrzaq S Alshqirate2

    1. Mechanical Engineering Department, Faculty of Engineering and Technology, University of Jordan, Amman 11942, Jordan

    2. Department of Basic and Applied Sciences, Al-Shoubak University College, Al-Balqa Applied University, Al-Salt 19117, Jordan

    Received: November 24, 2011 / Accepted: Feburary 13, 2012 / Published: October 31, 2012.

    Abstract: In this work, the easy to use, simple and direct equations were formulated and tested. These equations can be used to

    calculate the mean values of the heat transfer coefficients of inside tube flow during phase change. Analytical and experimental

    methods were used to correlate these equations. Two different forms were used, one for evaporation case and the other for condensation

    case. Carbon dioxide, CO2, was used as case study. Correlated values of the mean heat transfer coefficients (hcorr) were compared with

    the experimental results (hexp) and with other published result, a good agreement was noticed. The resulted correlations can be used to

    simplify the design and performance studies of both condensers and evaporators.

    Key words: Heat transfer, two phase flow, change of phase, refrigeration, carbon dioxide, correlations.

    Nomenclature

    Bo Boiling number (q/Ghfg)

    Bon Bond number (g D2/)

    Br Brinkman number (U2/kT)

    C Constant

    Cp Specific heat (J/kgK)

    D Tube inner diameter (m)

    Eu Euler number (P/U2)

    Fn Function

    G Mass velocity (kg/m2s)

    Ga Galelio number (gD3/2)

    H Convection heat transfer coefficient (W/m2K)

    hfg Latent heat for evaporation (J/kg)

    T Temperature difference (K)

    Ja Jacobs number (CpT/hfg)

    K Thermal conductivity (W/mK)Nu Nusselt number (hD/k)

    n Constant

    m Constant

    Pr Prandtl number (Cp/k)

    Re Reynolds number (UD/)

    U,v Velocity (m/s)

    We Weber number (U2D/)

    Wecp Modified Weber No. (U2D/)

    Corresponding author: Mahmoud A Hammad, professor,research fields: energy, solar refrigeration, new & alternativerefrigerants, PC heat transfer. E-mail: [email protected].

    X Mass quality, vapour/liquid

    x Distance in direction of flow

    r Radius (m)

    Latins

    Density (kg/m3

    ) Surface tension (N/m)

    Viscosity (Ns/m2)

    Subscripts

    l , f Liquid, saturated liquid

    m Mean value

    v, g Vapor, saturated vapor

    exp, corr Experimental, correlated values

    Superscripts

    / Small change_ Mean value

    1. Introduction

    Heat transfer and fluid flow inside tubes have many

    applications such as: heat exchangers, condensers,

    evaporators and boilers are examples of these

    applications.

    Fluid flow can be categorized as:

    (1) Single phase flow

    Literature shows many recent studies of heat transfer

    for single phase flow inside tubes. Equations and

    DDAVID PUBLISHING

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    correlations are formulated and validated by

    experimental works. Different correlations are now in

    use to calculate the heat transfer coefficients. These

    correlations can be found in all books and papers of

    heat transfer, such as Refs. [1, 2].

    (2) Two and multy phase flow

    Many correlations can be found in literature

    concerning the case of two phase flow, as shown in

    Refs. [3, 4]. In the case of constant mass ratio of two

    phase flow, the correlations used are extracted by

    modifying the single phase correlation or formulated

    using experimental results.

    The case of having two phase flow with phase

    change inside tubes shows some more complicatedprocesses. These processes can be found in most power

    cycles and refrigeration cycles in evaporation (boiling)

    and condensation. The mass ratio between the two

    phases of the flow changes continuously between 0.0%

    and 100% for both phases. Describing the process

    physically is not an easy or simple matter. Calculating

    heat transfer coefficients for these kinds of flows is also

    complicated. Many works predicted different

    correlations in literature, some of which are mentioned

    as references for this work, such as Refs. [5-10].

    Litterature shows different studies of CO2, heat

    transfer coefficient during phase change inside tubes

    that covered a domain of saturation temperature range

    of -6 C up to 20 C with tube inner diameter of 0.8

    mm up to 7.53 mm [11-13].

    Table 1 shows correlations for evaporation and

    condensation during flow inside tubes that are just

    examples of the published literature in this field, with

    all variables involved presented. These studies show an

    acceptable agreement between experimental values of

    the heat transfer coefficient and those calculated using

    the shown correlations.

    In the current research, understanding of the physical

    processes and mechanisms of the flow of any gas inside

    tubes was attempted. Change phase process and

    convection heat transfer took place. Calculations of

    heat flux and heat transfer coefficients were carried

    out.

    This work was carried out and validated against

    experimental results of CO2 flow inside horizontaltubes.

    2. Experiment

    2.1 The Apparatus and Results

    Fig. 1 shows a schematic diagram of the used test set.

    The experiments are conducted for complete

    evaporation and condensation for CO2 flowing inside

    horizontal copper tubes. Condensation occurred inside

    a chest freezer with lowest possible air temperature of

    -28 C. Evaporation occurred in room air temperature

    which ranged from 20 C to 25 C. The DAS (data

    acquisition system) of model SCX14, made by national

    instruments, is used. LAB VIEW software for data

    processing is used. Visual and printed reports are

    the outputs of this system. Thirty temperature readings

    Table 1 Coefficient of heat transfer correlations.

    No. Reference Refrigerant Correlation Case

    1Jokar et al., (2006),[3]

    R-134aNu = 3.37Re .55 (G2/l2 CpfT)1.39 (hfg/G2)1.05(l/lG)0.05lNu= 0.603Rel.5Pr0.1x-2 (G2/l

    2CplT)-0.1 (l

    2hfg /G2)0.5 (l/lG)

    1.1 (l/(lv))

    2

    CondensationEvaporation

    2 Dhaim, (2006), [5] CO2Nu = 0.25 10-16[Ja-0.0046 Ga2.196Pr1.3Bon-0.169 (U2/Dg)0.105]

    Nu= 0.33 10-10 [Ja0.0192 Ga1.2379Pr-1.1357Bon-0.2715 (U2/Dg)1.3]CondensationEvaporation

    3 Shqairat, (2007), [6] CO2Nu = 2.56 10-5 [Re1.2755 Ja-1.236 Ga-0.105 Pr4.367(L/D)-0.7196 Eu0.2108]

    Nu = 34.92 [Re-0.3099Ja-0.7051 Ga0.1135Pr-0.3853Bon-0.7196Eu0.2109 (L/D)-0.8182

    We0.8097]

    CondensationEvaporation

    4Choi et al., (2007),[11]

    CO2h = 55Pr0.12 (-0.4343lnPr)-0.55M-0.5q0.67

    M= molecular weighth = 0.023(kf/D)[G(1 x)D/ ]

    -0.8 [Cpf /kf]0.4

    Boiling

    5Kandlikar andSteinke, (2003), [12]

    CO2 hcp/hl=D1C0D2 (1 x)0.8Fn(frin) +D3Bo

    D4(1 x)0.8Ffl, Fn(frin) = 1 Boiling

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    Fig. 1 Schematic diagram of the test apparatus.

    The main numbering components of the test apparatus are: 1Carbon dioxide gas cylinder; 2Regulating valve; 3Chest

    freezer; 4Condenser; 5Cut off valve (4 units); 6Pressure gauges (3 units); 7Sight glass (2 units); 8Evaporator;

    9DAS (data acquisition system); 10Volume flow meter.

    were sensed by K-type thermocouples and fed to the

    DAS simultaneously. The pressure was read in three

    points at steady state conditions and theywere: before

    condensation, after condensation and after evaporation.

    Volumetric rate of flow in m3/s was read at the end

    outlet of the flow by a gas flow meter calibrated for

    CO2 at room temperature and local pressure conditions.

    The mean experimental heat transfer coefficients

    (hexp) were calculated as follows:

    The tube outside surface temperatures along the

    whole test sections (about 25 m) were measured by

    means of the thermocouples which were fixed on the

    outer surface at longitudinal locations. These

    temperatures were tabulated along with the test section

    length for the different tests changing the following

    independent variables: the pipe diameter (three different

    values), the test section inlet pressure (four different

    values), and the rate of flow (four different values).

    Fig. 2 shows the pipe longitudinal distribution of the

    outer surface temperatures of a typical condensation

    experiment. The figure shows a gas cooling part, a

    liquid sub cooling part and in the condensation part.

    The three lines are with different slopes. This study is

    concerned only with the middle line which shows the

    process of condensation.

    For only the condensation part of the pipe, the

    calculation of the mean heat transfer coefficient begins

    by the following equation of heat balance. Latent heat

    released by the gas as it condenses is equal to heat

    transferred by convection and conduction radialy

    through the tube:

    QCO2 =.

    m CO2 hfg, eff = 2 L (Tlm)/(Co+ C1 Ri) (1)

    where the logarithmic mean temperature difference

    equals:

    Tlm= (Ti To) / ln (Ti / To) (2)

    where: To = Tsat, outTsurand Ti = Tsat, in Tsur.

    CO1

    2

    6

    5

    3

    6

    7

    Flow direction ofCO2

    5

    Computer DASdata ac uisition s stem

    Chest freezer

    Printer

    CondenserEvaporator

    5

    Thermocouples

    4

    8

    10

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    barometric pressure (Pb) and the volume flow rate (.

    V).

    The uncertainty can be expressed as:

    (6)

    Table 2 shows the values of the quantities of

    different measured values of uncertainties and

    sensitivities required for Eq. (6), for a typical

    condensation test.

    Calculations gave the following value:

    W hexp = 1.28 W/ m

    2K.

    This is less than 1% of the original value.

    In the same way, the uncertainty in the experimentalh

    expfor the evaporation processes can be calculated.

    3. Analytical Study

    The variables affecting the convection heat flux in

    the processes under consideration were gathered in one

    equation. The mean values for complete evaporation

    and complete condensation processes were used. Heat

    flux in both the sub-cooled and the superheated regions

    was not considered in this work.

    The variables totaled 11. The following equation

    represents the relation between all variables, whether

    dependent or independent:

    ( h , m,km, hfg, Cpm, Tm, m, , Um, (lv),D) = 0 (7)

    Table 2 Values required for Eq. (6).

    No. Variable Value

    1 1.28

    2 (surfT

    W ) 1.0 oC

    3 0.23

    4 (gP

    W ) 0.5 bar

    5 0.0061

    6 (bP

    W ) 0.25 mbar

    7 0.0244

    8 ( .V

    W ) 0.5 liter/min

    The basic number of dimensions contained by the

    variables is four: mass in kg; length in m; time in s and

    temperature in K. This implied that the suitable number

    of non dimensional quantities required to represent Eq.

    (7) is seven. Each quantity may be calledPi () [14, 15].

    The following non-dimensional Pies were

    formulated using the exponential method for

    dimensional analysis:

    1Reynolds number, 1=ReD = m Um D / m;

    2Prandtl number, 2 =Pr= Cpmm / km;

    33 = Umm / D hfgm;

    4Weber number,4 = We =m U2

    m D / ;

    55= (lv) / m;

    6Jacobs number, 6=Ja = CpmTm/ hfg;

    77= h Um / m hfgCpm.

    The main variable is h , this will give the followingrelation:

    7= (1, 2, 3, 4, 5and 6) (8)

    To simplify this equation:

    1 *2 *3/ 6= U2/ Tm km =Br

    5 *4 = (lv) Um2D / m = modified We

    Thus: 7= (Br, We) (9)

    This7is a very important non-dimensional number,

    and it was not mentioned in the literature and not used

    before, up to the knowledge of the authors. 7will be

    given the symbol, , and thus:

    = ( h Um / m Cpm hfg) (10)

    The importance of this number emanates from that it

    contains the main dependent variable which is the

    mean convection heat transfer coefficient ( h ), and

    relates the convection heat flux to the stored quantities

    of heat as sensible heat presented by the mean specific

    heat (Cpm) and latent heat (hfg). This number can be

    compared to the diffusivity of the conduction heat flux

    ( = k/Cp) which relates conduction heat flux (k) to

    stored heat (Cp). This number may represent the

    diffusivity of the convection heat flux in the case of

    phase change flow, and can be put in the form (conv =

    h Um/ m Cpm hfg).

    Eq. (9) can be written in the form:

    = C(Brm)m

    (Wem)n

    (11)

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    3.1 Physical Thermodynamics Discussion

    The importance of the new number () can be

    explained by physical analysis of the thermal processes.

    Considering a control volume inside the tubethrough which fluid flows in combination with heat

    transfer across tube surface. This causes continuous

    phase change. Fig. 3 represents that control volume.

    The following analysis will describe the process.

    The differences in temperature radial wise and

    longitudinal wise due to heat transfer create differences

    in density and differences in local pressures. This

    produces differences in local velocities. All this will be

    combined with formation of vapor or liquid bubbles orfilms which will either be super heated or crushed back

    to liquid in case of evaporation and sub cooled or

    evaporated back to gas in case of condensation

    depending on local changes in temperature, density and

    pressure.

    Differences in compressibility and density between

    the liquid phase and vapor phase will create differences

    in local pressures and differences of velocities in both

    directions. Also the collapse of bubbles in the forming

    phase creates collisions of pressure fronts creating

    local pressure waves that travel locally and contribute

    to the mechanisms of pressure differences in the

    control volume.

    Due to all of these factors, different processes may

    take place at the same time in different points of the

    control volume as follows:

    In case of evaporation:

    Processes taking place at different points of the

    control volume may be:

    (1) Sensible heating of liquid at temperatures lower

    than saturation;

    (2) Sensible heating of vapor at saturation temperature;

    (3) Latent heat absorbed by evaporating particles;

    (4) Latent heat re-released from vapor particles

    collapsing to liquid due to pressure being not highenough to sustain vapor phase;

    (5) Changes of energy forms and quantities in both

    directions (positive and negative) between different

    control volume parts may occur simultaneously with

    changing in: conduction heat flux, friction and shear

    energy due to viscosity, kinetic energy, energy created

    by surface tension, buoyancy effect created by

    difference in density.

    Energy balances of the first law of thermodynamics

    will domain all these processes.

    In case of condensation:

    Fig. 3 Representation of various effects of an arbitrary control volume.

    dx

    rD

    dr

    h h'

    V'rV'r

    P P'

    U U'U U'

    PPP'

    T T'

    ( k, , )(CpT', hfg)

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    Processes taking place at different parts of the

    control volume may be:

    (1) Sensible cooling of vapor at temperatures higher

    than saturation;(2) Sensible cooling of liquid at saturation temperature;

    (3) Latent heat released from condensing particles;

    (4) Latent heat re-stored in particles which gained

    some pressure and evaporated again;

    (5) Changes of energy forms and quantities in both

    directions (positive and negative) between different

    control volume parts may occur simultaneously with

    changing in: conduction heat flux, friction and shear

    energy due to viscosity, kinetic energy, energy created

    by surface tension, buoyancy effect created by

    difference in density.

    All above mentioned heat processes either store heat

    or reject it at different particles in different parts of the

    control volume (Fig. 3). The temperature differences

    mentioned will be very minor differences. And it can

    be presented as (T T/), and pressures can also be

    presented as (p p/), velocities (U u

    /) and v

    /and

    density of ( /). Minor changes in the local heat

    transfer coefficient will result and can be presented as(h

    h

    /). Respective changes in the other thermal

    properties must occur, such as minor changes in

    viscosity, surface tension and buoyancy.

    Energy balances of the first law will keep

    dominating these changes in both cases as mentioned

    before. Forms of energy involved are: kinetic energy

    (U2/2), internal heat (CpT), flow work (P/), surface

    tension effect (), viscosity effect (), latent heat (hfg),

    buoyancy effect (lv), conduction heat transfer (k

    and T) and convection heat transfer (h).

    The heat storing or loosing of the control volume

    (Q1) will be in two forms: latent heat (hfg), and sensible

    heat (CpT). The following form can represent that

    relation:

    Q1 = (, Cp, T, hfg, r, dx) (12a)

    While the control surface heat flux that related to the

    convection heat transfer can be presented by Q2, as

    follows:

    Q2= (h, U, T, r, dx) (12b)

    The ratio ofQ2/Q1 can be presented by convection

    heat diffusivity (pcd), which is called in this work:

    = hU/ Cp hfg (13)It is clear that the number relates the heat energy

    parameters of: convection heat flux with stored heat,

    sensible and latent. The number resembles convection

    heat flux diffusivity with the case of phase change.

    The difference between Q1 and Q2 represents the

    energy changes occurring due to convection diffusivity

    of heat. The difference will be balanced by the other

    forms of energy which were mentioned before to keep

    the first law of thermodynamics valid.

    3.2 The Empirical Correlations

    The aim of this work is to introduce simple

    correlations that can help in calculating the mean heat

    transfer coefficients in the cases of changing phase of

    inside tubes flow. Eq. (12a) shows a non-dimensional

    formula that can be used for any of these cases:

    = C(Brm)m

    (We m)n

    It can be written as:

    h

    Um/m Cpm hfg= C[Um2

    m/(kmTm)]m

    [(l v)Um

    2D / ]

    n(14)

    This correlation can be used to calculate the mean

    values of heat transfer coefficients if the constants: C,

    m, and n are known. The values of these constants

    depend on the kind of gas underconsideration and can

    be calculated using three experimental results. The

    mean value of heat transfer coefficient thus calculated

    will be called the correlation resulted value (h

    corr).

    The mean heat transfer coefficient (hcorr) calculated

    using this analytical procedure will be:

    hcorr

    = C(m Cpm hfg/ Um) [Um

    2m/(kmTm)]

    m

    [( l v)Um

    2D/ ]

    n(15)

    Constants C, m, and n were evaluated.

    Results were calculated for both cases: evaporation

    and condensation. Values are shown in Table 3.

    This gave the following two equations:

    = 1.6 10

    -6(Brm)

    0.78(We m)

    0.09for evaporation. (16)

    And:

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    Table 3 Constants of Eq. (14), for CO2.

    Constant C m n

    Evaporation 1.6 10-6 0.78 0.09

    Condensation 1.02 10-2 1.55 -0.55

    = 1.02 10

    -2(Brm)

    1.55(We m)

    -0.55for condensation.

    (17)

    These equations may be used for any other gas, but

    with less accuracy.

    4. Analysis

    Comparison between mean heat transfer coefficients,

    experimental, hexp and analytical, h

    corrwas conducted.

    Using the correlations shown by Eqs. (15)-(17),

    hcorr was calculated for the same experimental

    conditions. They are presented in Figs. 4 and 5 for

    comparison.

    The range of the comparison covered the domain of

    application which was mentioned before.

    In Figs. 4 and 5, a good degree of conformity is

    shown. They are conformed by the factors, 0.976 and

    1.006 for both cases of evaporation and condensation,

    respectively. The conformity factor used is hcorr/h

    exp.

    The uncertainty expected in the correlation values of

    the coefficients of the heat transferh

    corrwill be related

    to those ofhexpby the relationsshown inFigs. 4 and 5

    as:

    For evaporation: hcorr= 0.976 h

    exp and hcorr=

    1.006 h

    exp for condensation.

    Fig. 4 hcorrcalculated versush

    exp experimentally resulted for CO2 at evaporation process flow inside tubes.

    Fig. 5 hcorr calculated versush

    exp experimentally resulted for CO2 at condensation process flow inside tubes.

    y = 0.976 x

    R2 = 0.939

    0

    200

    400

    600

    800

    0 200 400 600 800 1000

    h

    corr

    (W/m2K)

    Evaporation Process

    y =1.0061x

    R2=0.9199

    0

    200

    400

    600

    800

    1000

    0 200 400 600 800

    hexp (W/m2K)

    hcorr

    (W/m2K)

    Condensation Process

    hexp (W/m2K)

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    Fig. 6 h corr of this work versus h in other works of literature in evaporation case.

    Fig. 7: h corrof this work versus h in other works of literature in condensation case.

    Table 4 Correlation of this work.

    CaseGeneralcorrelation

    Specific for CO2correlation

    Evaporation = C(Br)m (We)n = 1.6 10-6 (Brm)

    0.78

    (We m)0.09

    Condensation = C(Br)m (We)n -= 1.02 10-2 (Brm)1.55

    (We m)-0.55

    For the typical condensation case mentioned before

    in the uncertainty analysis, hcorr error will be 1.29

    W/m2K. This is less than 1.5%.

    This degree of conformity is considered as a close

    agreement situation .

    Comparing the results obtained in this work with

    other works published in literature was conducted. The

    other works used different form correlations as shown

    in Table 1. The comparison is presented in Figs. 6 and 7.

    A good degree of agreement is clear in the figures.

    Limited differences are existing due to the fact that

    literature correlations are common for use in different

    gases applications.

    5. Conclusions

    The main goal of this work was achieved. The

    authors ended up with a simple equation for mean heat

    transfer coefficient for flow inside tubes during change

    of phase. Eq. (11) elucidates the relation resulted from

    this study. The resulted correlation was validated using

    Evaporation Process

    0

    150

    300

    450

    600

    750

    900

    0 150 300 450 600 750 900

    h corr(this work)

    h

    (Others)

    [6]

    [5]

    [1]

    0

    50

    100

    150

    200

    250

    300

    350

    0 50 100 150 200 250h corr (this work)

    h(O

    thers)

    [6]

    [5]

    [4]

    [12]

    [1]

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