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Fenómenos de transporte de cantidad energía (Calor)
85
Transport Phenomena Section 2: Heat Transfer Transport Phenomena Contents of heat transfer 1. Heat conduction: Fourier law 2. Thermal conductivity of homogeneous media and heterogeneous media 3. Steady state heat conduction in slab and composite slabs 4. SS heat conduction in cylinder, sphere 5. Transient heat conduction in semi-infinite objects 6. Transient heat conduction in finite objects with symmetry conditions and asymmetry conditions 7. Transient heat conduction of objects in finite environment 8. Forced convection & heat conduction 9. Free convection 10. Equations of change 11. Heat conduction with phase change
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Page 1: Fenómenos de Transporte (Calor)

Transport Phenomena Section 2: Heat Transfer

Transport Phenomena

Contents of heat transfer 1. Heat conduction: Fourier law

2. Thermal conductivity of homogeneous media and heterogeneous media

3. Steady state heat conduction in slab and composite slabs

4. SS heat conduction in cylinder, sphere

5. Transient heat conduction in semi-infinite objects

6. Transient heat conduction in finite objects with symmetry conditions and asymmetry conditions

7. Transient heat conduction of objects in finite environment

8. Forced convection & heat conduction

9. Free convection

10. Equations of change

11. Heat conduction with phase change

Page 2: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat Transfer

So far we dealt with momentum, now we turn to heat transfer (energy).

From the first principles, there is no difference between the analysis of momentum transfer and that of heat transfer, which you will see.

Transport Phenomena

Modes of heat transfer There are three modes of heat transfer

1. Conduction

2. Convection (forced & natural)

3. Radiation

Difference among the modes of heat transfer

1. Conduction: Heat is transferred due to the temperature gradient.

2. Convection: Heat is transferred by the motion of the fluid. If the fluid is forced, we talk of forced convection. On the other hand, if the motion of the fluid is induced by the temperature, we talk of natural convection.

3. Radiation: only occur at high temperature

Page 3: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat conduction

Simplest among the three modes of heat transfer. It occurs in all three phases of matter (gas, liquid and solid). In solids, it is the only mechanism of heat transfer.

The driving force for the heat conduction is the temperature gradient, that is whenever a gradient in temperature exists there exists a conductive heat flow.

The heat flow is measured as the amount of

energy transferred through any given plane per unit area per unit time. It is called heat flux.

Transport Phenomena

Heat conduction

cross-section area A

T0

T1

Direction of heat transfer

Q

Page 4: Fenómenos de Transporte (Calor)

Transport Phenomena

Conductive heat flux

q k T T= −

1 0

δ

Pointwise:

q k dTdz

= −

heat flux: energy/area/time

Property of material through which the heat is conducted: Thermal conductivity

Negative sign: Heat is moving in the direction of negative temperature gradient

Temperature gradient

Fourier’s law

Transport Phenomena

q k dTdz

= −

q

dTdz

Thermal conductivity at the plane A, k

PLANE A

This is the fundamental equation in heat conduction

z

Page 5: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat flux as a vector

Temperature is a scalar, while heat flux is a vector, of which components are

q k dTdx

q k dTdy

q k dTdzx x y y z z= − = − = −; ;

x

y

z

qx

qy

qz

T

Transport Phenomena

For isotropic materials,

kx = ky = kz = k

the heat flux vector will become:

Tkq ∇−=

where

q = qx i + qy j + qz k and

kz

jy

ix ∂

∂+∂∂+

∂∂=∇

grad operator

Page 6: Fenómenos de Transporte (Calor)

Transport Phenomena

Momentum vs Heat ?

q k dTdyy y= −

τ µyxxdv

dy= −

There are three components of the heat flux vector, while there are nine components of the stress tensor.

driving force

property of material

Transport Phenomena

Thermal conductivity

1. Property of material through which the heat is conducted

2. Units: W/m/K

3. In general, ksolid > kliquid > kgas

Materials Thermal conductivity Hydrogen @ 100K Water @ 293K Liquid sodium @373K Aluminum

0.067 0.600 83.70 206.0

4. Insulating materials have low k

Materials Thermal conductivity Glass @ 298K Brick @ 293K Glass wool @298K

1.00 0.60 - 1.00 0.07

Page 7: Fenómenos de Transporte (Calor)

Transport Phenomena

5. Temperature dependence:

Gas: k increases with temperature

Liquid: no general rule; for example k of alcohols, benzene, toluene decrease with T, while glycerine, ethylene glycol increase with T

Solid: also no general rule; for example k of polyethylene, polypropylene, PTFE decrease with T, while those of insulation materials increase with T

6. Pressure dependence:

fairly independent of pressure

Temperature

k Gas Liquid

Solid

Transport Phenomena

Theory of k for monatomic gases 1. Kinetic theory of gases

a. Molecules are rigid sphere

b. Exchange of energy upon collision is translational energy

12

32

2mv TT = κ

Molar heat capacity at constant volume is

C N ddT

mv Rv T=

=

12

32

2

c. The mean free path is much shorter than the length scale of the temperature gradient

d mass = m

Boltzmann constant

Avogadro’s number

Page 8: Fenómenos de Transporte (Calor)

Transport Phenomena

y

v=0

p p

T(y+a)

T(y)

T(y-a)

Temperature profile

λλλλ

T

y

y + a

y - a

Transport Phenomena

d. Results of kinetics theory of gas

v TmT = 8κ

π

λπ

=1

2 2d n

Z nvT= 14

a =23λ

mean molecular thermal velocity

mean free path

wall collision frequency per unit area

the molecules reaching any plane, on the average, had their last collision at a distance a from that plane

Page 9: Fenómenos de Transporte (Calor)

Transport Phenomena

The heat flux qy across any plane of constant y is obtained from:

q Z mv Z mvy Ty y a

Ty y a

=

= − = +

12

12

2 2

According to the assumption b:

( )ayayy TTZ

23q

+−−κ=

kinetic energies of molecules that cross in the positive direction

kinetic energies of molecules that cross in the negative direction

Transport Phenomena

According to the assumption c:

T TdTdyy a y− = −

23λ

T T dTdyy a y+ = + 2

thus the heat flux qy is:

q n v dTdyy T= − 1

2κ λ

k n vd

TmT= =

12

12

3

3κ λκπ

compared with

µπ

κ= 23 3 2 2/

m Td

q k dTdyy = −

only for dilute monatomic gases at moderate pressures (usually less than 10 atm); proportional to square root of temperature and independent of pressure

Page 10: Fenómenos de Transporte (Calor)

Transport Phenomena

2. Chapman-Enskog theory (for gases)

k T M

k

= × −19891 10 42. /

σ Ω

µσ µ

= × −2 6693 10 52. MTΩ

cal/cm/sec

g/cm/sec

Angstrom

Angstrom

collision integral

collision integral

Transport Phenomena

Theory of k for polyatomic gases

More complex than monatomic gases due to the additional rotational and vibrational energies.

Semi-empirical formula by Eucken

k CRMp= +

54

µ

For monatomic gases, Cp = 5R/4M; thus

k RM

=

52

µ

as obtained by the kinetic theory of gases. Note: Eucken’s formula is only used as a guide.

Experimental data should be used.

heat capacity at constant pressure

viscosity

Page 11: Fenómenos de Transporte (Calor)

Transport Phenomena

Thermal conductivity of mixtures

Semi-empirical formula is useful:

k x k

xmix

i i

j ijj

ni

n

=

=

= ∑∑

Φ1

1

These formula equations are very similar to those for the calculation of mixture’s viscosity.

mole fraction pure component thermal conductivity

Φ iji

j

i

j

j

i

MM

MM

= +

+

−18

1 11 2 1 2 1 4

2/ / /µµ

molecular weight pure component viscosity

Transport Phenomena

Heat conduction in heterogeneous media

Of interest to engineers is the heat transfer to or from a packed column (reactor).

T

q = - ke dT/dr

effective thermal conductivity

Page 12: Fenómenos de Transporte (Calor)

Transport Phenomena

Hadley’s formula (Kaviany, 1991)

( )kk

fkk

f

fkk

f

kk

kk

kk

e

f

s

f

s

f

s

f

s

f

s

f

= −+

− − +

+

− + +

+

+ −

11

2 2

2

2

αε ε

ε ε

αε ε

ε ε

(1 )

(1 ) (1 )

(1 ) (1 )

( ) (1 )

where

f = +08 01. . ε and

0 < εεεε < 0.0827 logαααα = -4.898 εεεε

0.0827 < εεεε < 0.298 logαααα = -0.405 -3.154(εεεε-0.0827)

0.298 < εεεε < 0.58 logαααα = -1.084 -6.778(εεεε-0.298)

Transport Phenomena

Krupiczka (Int. Che.Eng., 7, 122,1967)

kk

kk

e

f

s

f

kk

s

f

=

+ − −

0 280 0 757 0 057. . log . logε

Kunni and Smith (AIChEJ, 6, 71, 1960)

Valid for 0.26 < εεεε < 0.476

( )kk k

k

e

f s

f

= + −

+ − − +

ε ε

φ ε φ φ

1

4 63 0 26 232 1 2. ( . )

where φφφφ1 and φφφφ2 are monotonic decreasing function of (ks/kf)

Page 13: Fenómenos de Transporte (Calor)

Transport Phenomena

Zehner and Schlunder (Chem. Ing. Tech., 42, 933, 1970)

( )

( )

kk

Bkk

kk

B

kk

B Bkk

B B

Bkk

e

f

s

f

s

f

s

f

s

f

s

f

= −−

+

+

− + − −

1 11

2 1

1

1

1

1 12

1

1

1 2

1 2

2

ε

ε

/

/

ln

where

B =−

1251 10 9

./ε

ε

Modified version of Zehner-Schlunder was given by Hsu et al. (Int. J. Heat Mass Transfer, 37, 2751, 1994)

Transport Phenomena

Procedure of transport phenomena analysis

First principles

1. Draw a physical diagram as carefully as possible.

2. Identfy all possible energy transport mechanisms

3. Set a frame of coordinates and draw the direction of all transport processes identified in step 2.

4. Draw a shell in such a way that its surfaces are perpendicular to the transport direction.

5. Carry out the energy shell balance as below:

Rate ofenergy in

Rate ofenergy out

Rate of energyproduction

Accumulationof energy

+

=

This should give a first-order ODE in terms of heat flux

Page 14: Fenómenos de Transporte (Calor)

Transport Phenomena

6. Apply the Fourier law

This should give a second order ODE in terms of temperature.

7. Impose physical contraint on the boundary of the physical system. This gives rise to BCs.

Note that the number of boundary conditions must match the order of the differential equation.

8. Solve the equation for the temperature distribution.

9. Obtain the mean temperature, heat flux.

Energy production:

1. Chemical reaction

2. Electrical heat

3. Viscous dissipation (degradation of mechanical energy)

Transport Phenomena

Boundary conditions:

1. At the bounding surface, the temperature is specified. This is called boundary condition of the first kind (Dirichlet BC)

2. At the bounding surface, the heat flux equals to the flux supplied. Boundary condition of the second kind (Neumann BC)

3. At the bounding surface, the heat flux entering the domain equals the heat flux across the thin film surrounding the object. BC of the third kind (Robin BC).

Concept of heat transfer coefficient

4. At the interface between the two domains, the temperatures and the heat fluxes of those domains are continuous. BC of the fourth kind.

Page 15: Fenómenos de Transporte (Calor)

Transport Phenomena

What to follow 1. Steady state heat conduction in slab

1a. Constant k

1b. Temperature-dependent k

1c. BC of 1st kind vs BC of 3rd kind

2. Steady state heat conduction in composite slab

3. Steady state heat conduction in cylinder

3a. The influence of shape

3b. Composite cylindrical walls

4. Steady state heat conduction from sphere

5. Fall of temperature in free droplet

6. Heat conduction in cooling fin (BC of the 3rd kind)

7. Heat conduction with chemical heat source.

Transport Phenomena

Steady state heat conduction in slab

Steps 1 to 4:

thin shell

constant cross section area, A

energy in energy out

z z + ∆∆∆∆z

Page 16: Fenómenos de Transporte (Calor)

Transport Phenomena

Steps 5 and 6: Energy balance equation

Aq Aqz z z− + =+ ∆ 0 0

steady state

rate of energy in; units: Joule/sec

rate of energy out; units: Joule/sec

no heat production

Transport Phenomena

First order ODE with respect to heat flux

− =dq

dz0

Second-order ODE with respect to T

ddz

k dTdz

= 0

q k dTdz

= −

Fourier’s law

k d Tdz

2

2 0=ddz

k T dTdz

( )

= 0

k is constant k is temperature dependent

Page 17: Fenómenos de Transporte (Calor)

Transport Phenomena

Step 7: Physical constraint on the boundary

Boundary conditions of the first kind.

Step 8: Temperature distribution

T z) TT T

zLL

( −−

=0

0

Temperature distribution is linear (only valid for constant k and slab geometry).

z

T(0)=T0

T(L)=TL

0

L

Transport Phenomena

Step 9: Heat flux

Apply the Fourier’s law; remember that the heat flux in general is a function of z. So to calculate the heat flux, where do we evaluate the heat flux at?

At z=0 or z=L ?

Fourier law

q kT T

LL=

0

q z) k dT z)dz

( (= −

T z TT T

zLL

( ) −−

=0

0

Page 18: Fenómenos de Transporte (Calor)

Transport Phenomena

The heat flux is proportional to the temperature difference (only valid for constant k). We see that for the case of constant “k” the temperature distribution is linear and the heat flux is proportional to the temperature difference.

Is this conclusion still valid for the case of variable thermal conductivity?

Let us look at the case when “k” takes the following functional form:

( )[ ]k k T T= + −0 01 α

Constraint on αααα: αααα(T0 - TL) < 1

T0 TL

k

αααα > 0

αααα < 0

Transport Phenomena

Step 6’: Heat balance equation

( )[ ]ddz

k dTdz

ddz

k T T dTdz

= + −

=0 01 0α

Step 7’: Boundary conditions

same as before, that is:

z = 0; T = T0

z = L; T = TL

Step 8’: Temperature distribution

( ) ( )

( ) ( )

T z T T z T

T T T T

zL

L L

( ) ( )− +

− +

−=

0 02

0 02

2

2

α

α

Thus the temperature distribution across the slab is not linear.

Page 19: Fenómenos de Transporte (Calor)

Transport Phenomena

Can you explain the shape of the

temperature distribution?

z=0

z=0 z=L

T0

TL

αααα > 0

αααα = 0

αααα < 0

z=L

T0

TL

high k; thus lower gradient

lower k; thus higher gradient

αααα > 0

Transport Phenomena

Step 9’: Heat flux

Apply the Fourier’s law

( )[ ]q k T TdTdz

= − + −0 01 α

( ) ( )q k

T T T T

L

L L

=− −

0

0 02

Would this minus sign cause a concern to you as it could give zero flux?

Answer: Of course not, see the constraint on αααα.

k

( ) ( )

( ) ( )

T z T T z T

T T T T

zL

L L

( ) ( )− +

− +

=0 0

2

0 02

2

2

α

α

independent of z, as one would expect physically

Page 20: Fenómenos de Transporte (Calor)

Transport Phenomena

Note: If we define an average thermal conductivity across the slab as:

( )[ ]( )k

k T dT

dT

k T T dT

dT

k T TavgT

T

T

T

T

T

T

T L

L

L

L

L= =

+ −

= − −

( )0

0

0

0

0 0

0 0

1

12

αα

the heat flux equation is:

( )

q kT T

LavgL=

−0

which is an interesting equation.

So far so good, but are there anythings that

need to be addressed?

1. Existence of gas film surrounding the slab furnace.

2. Slab is made of many different materials.

Let’s consider these one by one.

Transport Phenomena

Heat conduction in slab: Gas film resistance

What has been done so far in steps 1 to 6 is still valid, that is the heat balance equation is:

ddz

k dTdz

= 0

Let’s study the constant k first, and then deal with temperature-dependent k.

k d Tdz

2

2 0=ddz

k T dTdz

( )

= 0

k is constant k is temperature dependent

Page 21: Fenómenos de Transporte (Calor)

Transport Phenomena

Step 7: Physical constraints

With the existence of the gas film, we talk of BC of the third kind.

[ ]z h T T k dTdz z

= − = −=

0 00 00

; ( )

[ ]z L h T L T k dTdzL L

z L

= − = −=

; ( )

z 0

L

T0

TL

T(0)

T(L)

unknown

( )hkL

ff= Re, Pr

Transport Phenomena

Step 8: Temperature distribution

T z TT L T

zL

( ) ( )( ) ( )

−−

=00

Note: T(0) and T(L) are yet known, but we proceed anyway.

Step 9: Heat flux

[ ]q kT T L

L=

−( ) ( )0

which must be the same as the heat fluxes through the gas film surrounding the slab, that is:

[ ] [ ] [ ]q h T T kT T L

Lh T L TL L= − =

−= −0 0 0

0( )

( ) ( )( )

this is the flux through the slab

Page 22: Fenómenos de Transporte (Calor)

Transport Phenomena

Rearranging the above equation as:

qT T

h

T T LLk

T L T

h

L

L

=−

= −

=−

0

0

01

01

( ) ( ) ( ) ( )

Recall the following identity

ab

cd

ef

a c eb d f

= = =+ ++ +

we get the heat flux equation

qT T

hLk h

L

L

=−

+

+

0

0

1 1

written in terms of known parameters and operating conditions.

Transport Phenomena

We can write the heat flux equation as:

( ) LTT

BiBi1kq L0

1L

10

−++

= −−

where Bi0 and BiL are nondimensionless and are defined as follows:

Bih Lk

Bih L

kLL

00= =;

which are called the Biot numbers.

Physical significance of Biot number

Biheat transfer through the film

heat transfer through the object=

1. Bi >>1: Heat transfer through the object is limiting.

2. Bi << 1: Heat transfer through the fluid film is limiting.

Page 23: Fenómenos de Transporte (Calor)

Transport Phenomena

Avoid the confusion

Bi and Nu

Their definitions:

Bi hLk

fluid film heat transfer coefficient lengthsolid thermal conductivity

= =( )( )

Nu hLk

fluid film heat transfer coefficient lengthfluid thermal conductivityf

= =( )( )

Bi is seen in the analysis of heat transfer to or from an object.

Nu is seen in many correlations of heat transfer coefficients; hence it involves only film properties.

More about this later.

Transport Phenomena

How about T(0) and T(L)?

Recall the following equations:

qT T

h

T T LLk

T L T

h

L

L

=−

= −

=−

0

0

01

01

( ) ( ) ( ) ( )

qT T

hLk h

L

L

=−

+

+

0

0

1 1

we get

( )T Th

hLk h

T T

L

L( )0

1

1 100

0

0= −

+

+

( )T L Th

hLk h

T TLL

L

L( ) = +

+

+

1

1 1

0

0

Page 24: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat conduction in slab: Gas film & k(T)

Steps 1 to 6:

The heat balance equation is:

( )[ ]ddz

k dTdz

ddz

k T T dTdz

= + −

=0 01 0α

Constraint on αααα: αααα(T0 - TL) < 1

Step 7: Boundary conditions

[ ]z h T T k dTdz z

= − = −=

0 00 00

; ( )

[ ]z L h T L T k dTdzL L

z L

= − = −=

; ( )

with T(0) being the solid object temperature at z=0, and T(L) being that at z=L.

Transport Phenomena

Step 8 and 9: Temperature distribution & heat flux

We can write immediately

q k T T LLavg= −( ) ( )0

where

[ ]k k T T Lavg = − −

0 1

20α ( ) ( )

This flux must be the same as fluxes through the film at both sides of the solid object, that is

[ ] [ ] [ ]q h T T kT T L

Lh T L Tavg L L= − =

−= −0 0 0

0( )

( ) ( )( )

Page 25: Fenómenos de Transporte (Calor)

Transport Phenomena

Thus, we get

q T T

hL

k h

L

avg L

= −

+

+

0

0

1 1

This equation still involves unknown variables T(0) and T(L).

Like before, we solve for T(0) and T(L)

( )T( Th

hL

k h

T T

avg L

L0

1

1 10

0

0

0) = −

+

+

( )T(L Th

hL

k h

T TLL

avg L

L) = +

+

+

1

1 1

0

0

Two nonlinear algebraic equations in terms of T(0) and T(L) as kavg is a function of T(0) and T(L).

Transport Phenomena

So far

Heat conduction

Thermal conductivity, k

Theory of thermal conductivity for monatomic gases

First principles of solving heat conduction problems

Heat conduction in slab object:

BC of the first kind

BC of the third kind

Constant thermal conductivity

T-dependent thermal conductivity

Now let us turn to composite objects and

objects of different geometries than slab, cylinder and sphere.

Page 26: Fenómenos de Transporte (Calor)

Transport Phenomena

Composite slab objects

Let deal with constant k, and N layers.

Area A

T1 T2 T3 T4

L1 L2 L3

k1 k2 k3

Transport Phenomena

Utilizing results obtained earlier for a single slab object, we can write:

( ) ( )q h T T k T TL

k T TL

k T TL

h T TNN N

NN N N= − =

−=

−= =

−= −+

+ + +0 0 1 11 2

12

2 3

2

11 1 2

or writing in the ratio form, we get ( ) ( )qT T

h

T TLk

T TLk

T TLk

T T

h

N N

N

N

N N

N

=−

=−

=−

= =−

=−

+ + +

+

0 1

0

1 2

1

1

2 3

2

2

1 1 2

1

1 1

Thus

( )qT T

hLk h

N

j

jj

N

N

=−

+

+

+

= +∑

0 2

0 1 1

1 1

The interfacial temperatures can be found by equating the above two equations.

Page 27: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat conduction in cylinder In constrast to slab geometry, the area is

changing along the heat flow direction.

Steps 1 to 4

∆∆∆∆r

R2

R1

Transport Phenomena

Step 5:

Heat balance around the annulus shell 00)rr(q)rr(L2)r(q)rL2( =+∆+∆+π−π

A compact mathematical form:

( )[ ] ( )[ ] 0)r(qrL2)r(qrL2rrrrr=π−π

∆+==

incoming area

incoming flux

outgoing area

outgoing flux

no heat generation

means all r in the bracket are evaluated at r+∆∆∆∆r

Page 28: Fenómenos de Transporte (Calor)

Transport Phenomena

( )[ ] ( )[ ]2 2 0π πr q r r q rr r r r r

( ) ( )= = +

− =∆

The heat balance equation is:

f r f rr r r r r( ) ( )= = +− =∆ 0

Divide by ∆∆∆∆r:

f r f rr

r r r r r( ) ( )= = +−=∆

∆0

Now making the shell as thin as possible:

lim( ) ( ) ( )

∆r

r r r r rf r f rr

df rdr→

= = +−= − =

00

Define f r r q r( ) ( )= 2π

Transport Phenomena

Thus, the final heat balance equation valid at a point is:

[ ]ddr

rq r( ) = 0

Step 6:

Apply the Fourier law of heat conduction

q r k dTdr

( ) = −

into the heat balance equation to get:

ddr

r k dTdr

= 0

First-order ODE wrt q

ddr

r dTdr

= 0

ddr

r k dTdr

= 0

If k is constant If k is a function of temperature

Page 29: Fenómenos de Transporte (Calor)

Transport Phenomena

Step 7: Physical constraints

Let us deal with the case of constant thermal conductivity first.

r=R1; T=T1

r=R2; T=T2

Let’s start with boundary conditions of the first kind

L

Transport Phenomena

Step 8: Temperature distribution

T r TT T

rRRR

( )ln

ln

−−

=

2

1 2

2

1

2

Step 9: Heat flux

( )q r

k T T

rRR

( )ln

=−

1 2

2

1

Unlike the slab case, this heat flux is not a constant, but rather decreases as the heat moves away from the center.

always associated with cylindrical geometry

q r k dTdr

( ) = −

Fourier’s law

Page 30: Fenómenos de Transporte (Calor)

Transport Phenomena

This is not entirely unexpected.

r heat flux area Heat flow =

flux ×××× area small large small the same large small large the same

Although the heat flux changes with distance r, the heat flow (energy/time) must be a constant, a requirement of steady state.

Heat flow:

( ) ( )Q rL q r LkRR

T T= =

−2 2

2

1

1 2π π( )ln

constant as expected

Transport Phenomena

Compare this heat flow with that for the slab geometry.

Slab Cylinder

( )Q A k T T=

−δ 1 2 ( )Q L

RR

k T T=

−2

2

1

1 2π

ln

Irrespective of the geometry, the heat flow is proportional to

1. thermal conductivity

2. temperature difference

The only difference is the geometrical factor.

Page 31: Fenómenos de Transporte (Calor)

Transport Phenomena

When the annulus is very thin, that is no curvature

R2 - R1 << R1

We would expect that the solution obtained for the cylindrical geometry will reduce to that of slab.

Proof:

It is not difficult to show that: 2 2

2

1

1

2 1

π πLRR

R LR R

AreaThickness

ln

=

−=

Q.E.D.

Now let’s consider the case of non-constant thermal conductivity.

[ ]k k T T= + −1 11 α( )

Transport Phenomena

Step 6’: Heat balance equation

( )[ ]ddr

r k T T dTdr1 11 0+ −

Step 7’: Same boundary constraints

r = R1; T = T1

r = R2; T = T2

Step 8’: Temperature distribution

( ) ( )

( ) ( )

T T T T

T T T T

rRRR

− +

− +

−=

1 12

2 1 2 12

1

2

1

2

2

α

α

ln

ln

Page 32: Fenómenos de Transporte (Calor)

Transport Phenomena

Step 9’: Heat flux

( ) ( )q rk

rRR

T T T T( )ln

=⋅

− −

1

2

1

1 2 1 22

Heat flow

( ) ( )QLkRR

T T T T=

− −

22

1

2

1

1 2 1 22π α

ln

which is independent of r.

Transport Phenomena

Heat conduction from a sphere

r

dr

r=R; T = T0

shell

Boundary condition

Page 33: Fenómenos de Transporte (Calor)

Transport Phenomena

Step 6: Heat balance equation

ddr

r k dTdr

2 0

=

Step 7: Physical constraints

r R T Tr T T= =→ ∞ = ∞

;;

0

Step 8: Temperature distribution

rR

TTT)r(T

0

=−−

Step 9: Heat flux

( )∞−= TTRkq 0R

fluid thermal conductivity

Transport Phenomena

If the heat transfer coefficient is defined as

q = h (T0 - T∞∞∞∞)

Compare this with the solution obtained from first principles, we get:

( )h Rk

hDk

22= =

Thus, from first principles the Nusselt number of a stagnant medium is 2.

Correlation of the form:

Nu a n m= +2 Re Pr therefore, comes as no surprise.

known as the Nusselt number

Page 34: Fenómenos de Transporte (Calor)

Transport Phenomena

The influence of shape on heat balance

Slab Cylinder Sphere

ddr

k dTdr

= 0

ddr

r k dTdr

= 0

ddr

r k dTdr

2 0

=

1. The general form for the three shapes is:

ddr

r k dTdr

s

= 0

s is called the shape factor.

2. Those equations can be cast into the form:

dQdV

= 0

that is the rate of change of energy per unit volume is zero.

Transport Phenomena

Fall of temperature of a free droplet

Rate of mass transfer from the liquid surface is:

I = 4ππππR D (C0 - C∞∞∞∞)

If H is the latent heat of vaporization, the heat gain by the droplet is equal to the heat required to vaporize the liquid, that is:

( ) ( )4 40 0π πRk T T RD C C∞ ∞− = −

Therefore, the drop in temperature is:

( )T T HDk

C C0 0= − −∞ ∞

Example: Benzene droplet in air. The drop in temperature is 60C.

Page 35: Fenómenos de Transporte (Calor)

Transport Phenomena

Transient heat conduction 1. New parameter: Thermal diffusivity

2. Heat conduction in a semi-infinite slab object.

a. Penetration heat front

b. Constant surface temperature vs constant surface heat flux

3. Heat conduction in a finite object.

a. Slab geometry

b. Cylindrical geometry

c. Spherical geometry

4. Heat conduction in a finite object with asymmetry boundary conditions.

5. Heat conduction in objects within a finite environment.

6. Determination of heat flux from temperature measurements.

Transport Phenomena

Thermal diffusivity

You will feel the heat first with which system?

Chem Eng.

Engine Oil Air layer

Page 36: Fenómenos de Transporte (Calor)

Transport Phenomena

Answer:

The air system will transport heat quicker than the oil system.

Does this seem odd as the thermal conductivity of oil (0.14 W/m/K) is about 5 times larger than that of air (0.03 W/m/K)? Answer: No

The heat transfer in this system is transient; that is heat travels from the left surface, portion of which is conducted through and portion is absorbed by the material to increase its latent heat.

Since oil has a much higher heat capacity per unit volume, most of the heat is retained by the oil and hence it retards the movement of heat front to the right surface.

Transport Phenomena

The proper parameter characterises this transient situation is

THE THERMAL DIFFUSIVITY

It is defined as:

α

ρ= ≡k

Cability to conductability to absorbp

The larger is this parameter, the faster is the heat transport.

We shall see that this parameter will evolve naturally during the analysis.

Now, coming back to our example.

Oil system Air system ρρρρ Cp k αααα

848 kg/m3 2130 J/kg/K 0.14 W/m/K 7.75 ×××× 10-8 m2/sec

1.1 kg/m3 928 J/kg/K 0.03 W/m/K 2.94 ×××× 10-5 m2/sec

Page 37: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat conduction in a semi-infinite slab object

Consider two cases:

Case 1: Constant temperature at x=0 surface

Case 2: Constant heat flux at x=0 surface

time

x

Ts

Transport Phenomena

Constant temperature at x=0 surface

Heat balance over the shell:

( )Aq Aq A x CTtx x x p− + =+ ∆ ∆0 ρ

∂∂

− =∂∂

ρ ∂∂

qx

C Ttp

α ∂

∂∂∂

2

2

Tx

Tt

=

energy in at x-surface

energy out at (x+∆∆∆∆x)-surface

accummulation of energy

divide by A∆∆∆∆x and take the limit when ∆∆∆∆x →→→→ 0

q r k dTdr

( ) = −

Fourier’s law

thermal diffusivity evolves naturally

Page 38: Fenómenos de Transporte (Calor)

Transport Phenomena

Initial and boundary conditions

t T Tx T Tx T T

s

= == =→ ∞ =

00

0

0

;;

;

Solution method: Combination of variables: The essence of this

method is that the temperature behaves with respect to x and t in a special way (MATCHING OF CONDITIONS).

condition of the object before the surface temperature is changed

This condition is maintained for t > 0+

far away from the surface, the temperature is not yet disturbed by the change in surface temperature

Transport Phenomena

Temperature distribution

T x t TT T

erf xt

s

s

( , ) −−

=

0 4α

where erf is the error function.

Error function is defined as:

( )erf z e dxxz

= −∫2 2

It has the following properties:

1. erf(0) = 0; erf(∞∞∞∞) = 1

2. ( )ddz

erf z ez= 2 2

π

x erf(x) 0 0.01 0.1 0.5 1.0 1.5 2.0

0 0.01128 0.11246 0.52049 0.84270 0.96610 0.99532

special combination of x and t

Page 39: Fenómenos de Transporte (Calor)

Transport Phenomena

The heat penetration front can be defined as the front at which the temperature is such that:

T t TT T

erft

s

s

( , ).

δ δα

−−

=

=

0 40 995

From the table of error function, erf(2)=0.995; thus

δ α= ⋅4 t

T(x,t)

x

at a given time

heat penetration front

T0

Ts

Transport Phenomena

δ αρ

= ⋅ = ⋅4 4t kC

tp

The penetration front is proportional to

1 the square root of time,

2. the square root of k

3. the inverse of the square root of ρρρρCp

Front travels fast Front travels slow 1. high conductivity 2. low volumetric heat capacity

1. low conductivity 2. high volumetric heat capacity

The square root dependence of the heat front with respect to time is the characteristics of conduction (diffusion) type problems.

Page 40: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat flux:

Obtained from the Fourier law

( )q x t

k T Tt

xt

s( , ) exp=−

0

2

4πα α

What we can observe from this are:

1. Heat flux decays rapidly with x for a given time

2. Heat flux increases to a maximum and then decays with respect to time.

Of interest to engineers is the heat flux entering the object at x=0:

( )

q tk T T

ts( , )0 0=−πα

This heat flux is infinite at t=0! Is this acceptable physically?

Transport Phenomena

Answer:

The infinite flux at t=0 is due to the sudden exposure of the surface to a new temperature, that is

infinite temperature gradient at t=0.

If we are interested in the amount of heat has entered the object up to time t, we find:

( )Q t A q t dt

Ak T Tt

ts( ) ( , )= =−

∫ 02

0

0

πα

or

( )Q t

A T Tk C ts

p( ) =−

⋅ ⋅2 0

πρ

The amount of heat transfer is proportional to the square root of

1. The thermal conductivity

2. The volumetric heat capacity

Page 41: Fenómenos de Transporte (Calor)

Transport Phenomena

If there is a film heat transfer resistance at x=0, the solution for the temperature distribution is (Levenspiel, 1984):

T(x t TT T

erf xt

erf xt

h tk

hxk

h tk

s

s

, )

exp

−−

=

+

− +

+

0

2

2

4

14

α

αα α

When heat transfer coefficient h is infinite (that is no film resistance), the second term in the RHS is zero, as erf(∞∞∞∞)=1.

Transport Phenomena

Case 2: Constant heat flux at x=0

The heat balance equation is still the same as before as

the equation describes the pointwise heat balance within the domain (i.e. object) and it is not affected by the way how we impose the system.

How we impose the system is through the boundary condition.

The boundary condition for this case is:

x kTx

q s= − =0;∂∂

Page 42: Fenómenos de Transporte (Calor)

Transport Phenomena

The solution for the heat flux is:

q x t q erf xts( , ) = −

1

and for the temperature is:

α−

α

−πα+=

t4xerf1

kxq

t4xexpt4

kqT)t,x(T

s

2s

0

The quantity of interest is the rise in temperature at the x=0 surface:

πα+= t4

kqT)t,0(T s

0

Due to the constant supply of heat flux, the x=0 temperature increases with time and follows the square root dependence.

Transport Phenomena

Heat conduction in a finite slab object

The slab object is symmetrical, so it is only necessary to consider half of the object.

The origin is chosen as the center of the object as shown.

time

x x=0

T1

x=L

shell center

Page 43: Fenómenos de Transporte (Calor)

Transport Phenomena

The heat balance will be exactly the same as before. Why.

Because the heat balance is a pointwise equation. It is not affected by the boundary condition as well as the size of the domain.

The heat balance equation is:

α ∂∂

∂∂

2

2

Tx

Tt

=

assuming a constant thermal diffusivity

The initial and boundary conditions are:

t T T

xTx

x L T T

= =

= =

= =

0

0 0

0

1

;

;

;

∂∂

symmetry at center

no film resistance. If there is the new BC is

[ ]x L kTx

h T Tx= − = −=;∂∂ 0 1

Transport Phenomena

Solution method:

Either by

1. Separation of variables method

2. Laplace transform

Temperature distribution:

The Laplace solution is:

( )T

Ts

T Ts

xs

Ls

= +−

0 1 0

cosh

cosh

α

α

The inverse is found by the method of residues:

( )T T(x tT T

xL

tL

n

nn n

n

1

1 0

22

1

2−−

=

=

∑, ) sincos exp

λλ

λ λα

where λλλλn is called the eigenvalue and is defined as

λ πn n= −

12

Page 44: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat flux into the particle: ( )∑

==

αλ−−−=

∂∂−=

1n2

2n

01

Lx Ltexp

LTTk2

xTkq

Amount of heat transfer:

The amount of energy up to time t passing through the surface at x=L

( )Q t A q t dt AL C T T

tLt

p

n

nn

( ) ( )exp

= = − −− −

∫ ∑=

01 0

22

21

21

ρλ α

λ

This is basically the amount received by half of the object up to time t

When time is sufficient large, this amount is:

Q(∞∞∞∞) = ALρρρρCp (T1 - T0) This is physically expected as this is the

sensible heat required to bring the object from T0 to T1.

Transport Phenomena

The solution of the amount of heat transfer passing through the x=L surface valid for very short time is:

( )Q A

k T Ts

=−1 03 2α /

or the inverse is:

( )Q

A T Tk C tp=

−⋅ ⋅

2 1 0

πρ

This solution for short time is exactly the same as the solution we obtained earlier for a semi-infinite object.

WHY?

independent of the size of the object. Why?

Page 45: Fenómenos de Transporte (Calor)

Transport Phenomena

Answer:

Because for short time the heat does not penetrate far into the object, and hence the center is not yet felt by the heat front.

Thus, the object behaves just like a semi-infinite object.

We have learnt that the solutions for the semi-inifinite object are simpler than the finite object. They are recommended for the description of the system under study during the initial stage of transfer.

Transport Phenomena

Heat conduction in a finite cylindrical or spherical object

The heat balance equation is:

α ∂∂

∂∂

∂∂

1x x

x Tx

Tts

s

=

with

1. s = 0 for slab

2. s = 1 for cylinder

3. s = 2 for sphere

The same set of initial and boundary conditions:

t T T

xTx

x L T T

= =

= =

= =

0

0 0

0

1

;

;

;

∂∂

symmetry at center

no film resistance. If there is the new BC is

[ ]x L kTx

h T Tx= − = −=;∂∂ 0 1

Page 46: Fenómenos de Transporte (Calor)

Transport Phenomena

The temperature distribution is: T T(x t

T Ta K x t

Ln n nn

1

1 0

22

1

−−

= −

=

∑, )( ) exp λ α

1. The parameter an is called coefficient.

2. The function Kn(x) is called eigenfunction.

3. The parameter λλλλn is called the eigenvalue.

shape an Kn(x) λλλλn

Slab ( )2

sin λλ

n

n cos λn

xL

n −

12

π

Cylinder ( )

2

1λ λn nJ J xLn0 λ

J 0 0( )• =

Sphere ( )−2cos λ

λn

n sin λn

xL

xL

Transport Phenomena

The heat flux solution is:

( )q

k T TL

tLn

n

= −−

=

∑2 1 0 2

21

exp λα

The form is exactly the same for all shape. The only difference is the eigenvalue (characteristic of the system, i.e. shape).

The amount of heat received by the object is given by:

( )[ ] ( )Q t s V C T T

tL

object p

n

nn

( ) ( )exp

= + ⋅ ⋅ ⋅ −− −

=

∑2 11

1 0

22

21

ρλ α

λ

where Vobject is the volume of the object.

For sufficiently large time, the total amount of

heat absorbed by the object

Q(∞∞∞∞) = Vobject ρρρρCp (T1 - T0)

which is expected physically.

Page 47: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat conduction in slab with asymmetry condition

The heat balance equation is:

α ∂∂

∂∂

2

2T

xTt

=

The initial and boundary conditions are: t T Tx T Tx L T T

s

= == == =

00

0

0

;;;

T0

Ts

x=0 x=L

time

Transport Phenomena

Solution method:

1. Laplace transform or

2. Separation of variables

Temperature distribution

T T x tT T

xL

nn x

Ln t

L

s

s

n

−−

= +

=

( , )

sin exp

0

2 22

1

2 1π

π π α

linear steady state profile

transient term, will decay to zero as time is getting large

Page 48: Fenómenos de Transporte (Calor)

Transport Phenomena

Heat flux at x=0 and x=L

( ) ( )q

k T TL

k T TL

n tL

s s

n0

0 0 2 22

1

2=

−+

−−

=

∑ exp π α

( ) ( )q

k T TL

k T TL

n n tLL

s s

n

=−

+−

⋅ −

=

∑0 0 2 22

1

2cos( ) expπ π α

At steady state, the heat flux entering the surface x=0 must be the same as that leaving the surface x=L.

During the trasient operation, the heat flux entering the x=0 surface is greater than that leaving at x=L. The difference is absorbed by the object as sensible heat.

steady state heat flux

Transport Phenomena

Amount of heat entering and leaving the object

( )

( )Q

Ak T TL

t

T T AL Cn

n tL

s

s p

n

00

02 2

2 22

136 1

=−

+

−− −

=

∑ρ

ππ αexp

and

( )

( ) ( )

QAk T T

Lt

T T AL Cn

nn t

L

Ls

s pn

=−

+

− − −

=

0

0 2 22 2

21

21ρ

ππ

π αcosexp

When time is sufficiently large

( )Q

Ak T TL

t Ls0

02

3=

−+

α

( )Q

Ak T TL

t LL

s=−

0

2

Page 49: Fenómenos de Transporte (Calor)

Transport Phenomena

This method is known as the time lag method.

QL

time 0 L2/6αααα

This is called the lag time, which is the time required for the heat to penetrate the medium

Transport Phenomena

Heat conduction in a finite environment

Question: Cooling or heating time of a collection of solid objects in a finite environment.

time t <0 time t > 0+

Page 50: Fenómenos de Transporte (Calor)

Transport Phenomena

Two sub systems to write down heat balance equations:

1. Heat conduction in a sphere

2. Heat transfer from the environment into the collection of sphere.

Heat balance of a sphere:

α ∂∂

∂∂

∂∂

12

2

x xx T

xTt

=

Heat balance in the reservoir:

RxP

Pfpfff x

TkmR3

dtdTCV

=∂∂

ρ

−=ρ

The initial and boundary conditions are:

t T T T T

x Tx

x L T T

f

f

= = =

= =

= =

0

0 0

0 1; ;

;

;

∂∂

Transport Phenomena

Solution method:

Laplace transform.

Solution for the fluid temperature T TT T

BB

BB B

tR

f

nn

n

−−

=+

++ +

=

∑0

1 02 2

22

116

19 1( )

expλ

λα

where

BV Cm Cf f pf

p p

The eigenvalues are determined from the following transcendental equation:

λ λ λcot( ) = +

13

2B

Solution for the object average temperature T TT T

BB

BB B

tRn

nn

−−

=+

−+ +

=

∑0

1 0

22 2

22

116 1

9 1( )exp

λλ α

ratio of the heat capacities of the two phases

Page 51: Fenómenos de Transporte (Calor)

Transport Phenomena

Parameter determination T TT T

BB

BB B

tR

f

nn

n

−−

=+

++ +

=

∑0

1 02 2

22

116

19 1( )

expλ

λα

1. Plot the LHS versus ττττ = ααααt/R2

2. From experimental data, obtain the LHS and then use the above plot to obtain ττττ corresponding to experimental t.

3. Plot ττττ versus t, the slope is αααα/R2.

experimentally measured

function of only heat capacities

contain dynamic parameters: thermal conductivity

Transport Phenomena

Heat convection

So far, we deal with heat conduction whereby the driving force is the temperature gradient

Now we consider the second mode of heat transfer

CONVECTION

1. As the name suggests, the heat transfer in this mode is induced by some form of fluid movement around the object.

2. There are two types of heat convection:

a. Forced Convection

b. Free Convection

Page 52: Fenómenos de Transporte (Calor)

Transport Phenomena

Flow pattern: by external force

Flow pattern: by the bouyancy effects of heated fluid

1. Velocity profile, then

2. Temperature profile

1. Velocity and temp. profiles are connected

Nu = f(Re, Pr) Nu = f(Gr, Pr)

Nu hDk

u D Ck

Gr gD

f

p

f

= = = =; Re ; Pr ;ρµ

µ ρµ

3

2

∆ρ

object object

Forced convection by forced stream of air

Free convection by heated air which rises

Transport Phenomena

Forced convection

Two broad classes of heat convection: 1. Internal forced convection

2. External forced convection

velocity

temperature

Page 53: Fenómenos de Transporte (Calor)

Transport Phenomena

Internal forced convection with constant surface temperature

The thin shell and the direction of

energy transport

r

∆∆∆∆r

In by convection and conduction

out by convection & conduction

In by conduction

Out by conduction

z z+∆∆∆∆z

Transport Phenomena

The velocity profile distribution for Newtonian fluids is:

v r vrRz ( ) max= −

12

Step 5: Energy balance equation

( )

( )EnergyIn

r z q r z

r r q r z

C v r r r T T

r r

z z

p z z

=

+

+

⋅ −

2

2

2 0

π

π

ρ π

( , )

( , )

( )( ) ( )

sensible heat carried by the fluid

heat conduction in at r-surface

Page 54: Fenómenos de Transporte (Calor)

Transport Phenomena

and

( )

( )EnergyOut

r z q r z

r r q r z

C v r r r T T

r r r

z z z

p z z z

=

+

+

⋅ −

+

+

+

2

2

2 0

π

π

ρ π

( , )

( , )

( )( ) ( )

Heat balance equation of the finite shell is:

( ) ( ) ( ) ( )

00z

TT)r(vCr

zrqrq

rrqrq

zzzzp

zzzzzrrrrr

=+∆−

ρ

−∆−

−∆−

∆+

∆+∆+

no heat production in the tube

steady state

Transport Phenomena

Now taking ∆∆∆∆r and ∆∆∆∆z to zero, we obtain the following heat balance equation valid at any point inside the tube

( )z

qrqrr

1zT)r(vC z

rzp ∂∂−

∂∂−=

∂∂ρ

Step 6: Apply the Fourier law

q k Tr

q k Tzr z= − = −∂

∂∂∂

;

we get

∂∂+

∂∂

∂∂=

∂∂ρ 2

2

zp zT

rTr

rr1k

zT)r(vC

Usually

2

2

zp zT

zT)r(vC

∂∂>>

∂∂ρ

Thus, the heat balance equation is:

∂∂

∂∂=

∂∂

−ρ

rTr

rr1k

zT

Rr1vC

2

maxp

Page 55: Fenómenos de Transporte (Calor)

Transport Phenomena

Step 7: Physical constraints

1. At the entrance, the fluid temperature is equal to the inlet temperature.

2. At the center of the tube, we have the symmetry condition.

3. At the tube surface, the temperature is equal to the surface temperature, Tw.

z=0; T=T0

r=R; T = Tw

r=0; ∂∂∂∂T/∂∂∂∂r=0

Transport Phenomena

Step 8: Temperature distribution

( )T r z TT T

A K r kzR C v

w

wn n

nn

p

( , )exp

max

−−

= −

=

∑0 1

22λρ

Step 9: Quantities of interest

Mixing cup temperature is defined:

( ) ( )Enthalpy R v C T Tp m= −π ρ20

How is enthalpy calculated?

coefficient

eigenfunction

eigenvalue

average velocity

mixing cup temperature

Page 56: Fenómenos de Transporte (Calor)

Transport Phenomena

[ ]Enthalpy C rv r T r z T drp z

R

= −∫20

0πρ ( ) ( , )

Mixing cup temperature:

T z TT T

E kzR C v

m w

wn

nn

p

( )exp

max

−−

= −

=

∑0 1

22λρ

r

dr

vz(r)

Transport Phenomena

Heat flux at tube surface

Apply the Fourier law at the tube surface

( )

q z k T r zr

k T TR

A Y kzR C v

Rr R

wn n

nn

p

( ) ( , )

( ) exp'

max

= −

= −−

=

=

∂∂

λρ

0

1

221

This is the heat flux at the tube surface which is a function of downstream distance.

qR(z)

z

Page 57: Fenómenos de Transporte (Calor)

Transport Phenomena

The necessary constants in solutions are:

n λλλλn An En Y’n(1) 1 2 3 4 5

2.70436 6.67903 10.6734 14.6723 18.5149

+1.4764 -0.8061 +0.5888 -0.4764 +0.3591

0.81905 0.09753 0.03250 0.01547 0.00703

-0.10443 +1.3429 -1.5723 +1.7479 -1.6766

We see that using the first principles, we can obtain

1. the temperature distribution

2. the cup-mixing temperature

3. the heat flux at tube surface

without resort to any correlations of heat transfer.

Transport Phenomena

Approximate mixing cup temperature

Note that all solutions are in the form of infinite series.

To obtain the mixing cup temperature at large distance, we see that all the terms in the series are very small compared to the first term

Thus

lim( )

exparg

maxz l e

m w

w p

T z TT T

E kzR C v→

−−

= −

01 1

22λρ

Solving for the length required to achieve a cup-mixing temperature of Tm:

kLR C v E

T L TT Tp

m w

w2

12

1 0

1 1ρ λmax

ln( )

= −−

Page 58: Fenómenos de Transporte (Calor)

Transport Phenomena

Thus, if we want (Tm-Tw)/(T0-Tw) = 0.1, the length of the tube required is:

L

R v Ck

p= 0 292

. maxρ

or written in terms of flow rate F:

L

F Ck

p= 0185.ρ

An amazing simple result.

The length of the tube is proportional to:

1. flow rate

2. volumetric heat capacity

and inversely proportional to

1. fluid thermal conductivity

Transport Phenomena

Heat transfer coefficient & Nu number

Recall the heat flux at the surface and the cup mixing temperature:

( )

q z k T r zr

k T TR

A Y kzR C v

Rr R

wn n

nn

p

( ) ( , )

( ) exp'

max

= −

= −−

=

=

∂∂

λρ

0

1

221

and

T z TT T

E kzR C v

m w

wn

nn

p

( )exp

max

−−

= −

=

∑0 1

22λρ

There is one quantity that engineers like to use is the heat transfer coefficient. It is defined as follows:

( )q z h z T TR m w( ) ( )= −

Page 59: Fenómenos de Transporte (Calor)

Transport Phenomena

Thus the heat transfer coefficient can be evaluated as:

h z kD

A Y kzR C v

E kzR C v

n nn

np

nn

np

( )' ( ) exp

exp

max

max

=

− −

=

=

2 11

22

1

22

λρ

λρ

Making use of the definition of the Nusselt number, we get:

Nu zA Y kz

R C v

E kzR C v

n nn

np

nn

np

( )' ( ) exp

exp

max

max

=

− −

=

=

2 11

22

1

22

λρ

λρ

which must be computed numerically.

Transport Phenomena

This Nusselt number is a function of distance, and from this we can get the asymptotic Nusselt number

76.3E

)1('YA2)(Nu1

11 =−=∞

If we keep two terms, we will obtain how Nusselt number would decay along the axis z.

( )Nu z Nu kzR C vp

( ) . exp .max

= ∞ + −

1 0 583 37 3 2ρ

3.76

full solution

two-term solution Nu

z

Page 60: Fenómenos de Transporte (Calor)

Transport Phenomena

Before we solve the next problem, we recall the solution for the cup-mixing temperature:

T z TT T

E kzR C v

m w

w p

( )exp

max

−−

≈ −

01 1

22λρ

The LHS is dimensionless, E1 is dimensionless, λλλλ1

2 is also dimensionless; so the group

kz

R C vp2ρ max

is also dimensionless. Rearranging this group as follows:

kzR C v

zR v R

kC

zR

p p2

1

ρµρ µmax max

Re Pr

=

=

This shows that the dimensionless groups Re and Pr are generally appeared in forced convection problems.

Transport Phenomena

Heat conduction & convection in tube with constant wall heat flux

In the previous example, we dealt with conduction and convection in tube with constant wall temperature.

Now we deal with constant wall heat flux.

These wall conditions (either constant temperature or heat flux) only affect the boundary conditions. So the heat balance equation obtained earlier will still be applicable here:

∂∂

∂∂=

∂∂

−ρ

rTr

rr1k

zT

Rr1vC

2

maxp

Page 61: Fenómenos de Transporte (Calor)

Transport Phenomena

Step 7: Physical constraints

@ z = 0; T = T0

@ r = 0; ∂∂∂∂T/∂∂∂∂r = 0

@ r = R; - k∂∂∂∂T/∂∂∂∂r = q1

Remember, the constant heat flux q1 is an algebraic quantity. It is negative, if the fluid is heated, and is positive when the fluid is cooled.

Transport Phenomena

Step 8: Temperature distribution

By defining

( )θ ζρ

=−

= =T Tq R k

xrR

kzC v Rp

0

12/

; ;max

the heat balance equation and the boundary conditions will become:

( )1 12− =

xx x

xx

∂θ∂ζ

∂∂

∂θ∂

@ ζζζζ = 0; θθθθ = 0

@ x = 0; ∂∂∂∂θθθθ/∂∂∂∂x = 0

@ x = 1; ∂∂∂∂θθθθ/∂∂∂∂x = -1

Exact solution to this problem is possible, but we are interest in the solution at distance far away from the entrance.

Entrance solution is not so much of interest to engineers.

Page 62: Fenómenos de Transporte (Calor)

Transport Phenomena

Because of the constant heat flux, the temperature is expected to rise linearly, i.e.

θ ζ ζ ψ∞ = ⋅ +( , ) ( )x C x0

that is, the temperature at any point across the tube section increases linearly at the same rate.

This long distance solution must satisfies the center and wall boundary conditions, as expected. But it will not satisfy the entrance condition

@ ζζζζ = 0; θθθθ = 0

To make up for this, the solution must, however, satisfy the overall heat balance equation.

Transport Phenomena

To find the overall heat balance equation, we start with

( )1 12− =

xx x

xx

∂θ∂ζ

∂∂

∂θ∂

( )dd

x x dx xx

xxx xζ

θ ∂θ∂

∂θ∂

1 2

0

1

1 0

− =

= =

( )dd

x x dxζ

θ1 12

0

1

− = −∫

( )x x dx1 2

0

1

− = −∫ θ ζ

multiply by xdx and integrate wrt x from 0 to 1

apply the BCs in x

integrate wrt ζζζζ from 0 to ζζζζ

Page 63: Fenómenos de Transporte (Calor)

Transport Phenomena

This is the overall heat balance equation. It simply states that the heat input through the wall is equal to the sensible heat gained by the fluid.

Written in dimensional terms, that equation is:

( ) ( )v rR

T T rdr Rz qmax 1 2 22

00

1

1−

− = − ⋅∫ π π

Transport Phenomena

Summary

Thus, the long distance solution

θ ζ ζ ψ∞ = ⋅ +( , ) ( )x C x0

must satisfy the differential heat balance equation

( )1 12− =

xx x

xx

∂θ∂ζ

∂∂

∂θ∂

the two boundary conditions in x

@ x = 0; ∂∂∂∂θθθθ/∂∂∂∂x = 0

@ x = 1; ∂∂∂∂θθθθ/∂∂∂∂x = -1

and the overall heat balance equation

( )x x dx1 2

0

1

− = −∫ θ ζ

Page 64: Fenómenos de Transporte (Calor)

Transport Phenomena

The solution finally is:

θ ζ ζ∞ = − ⋅ + − +( , )x x x44

724

42

Step 9: Desired quantities Surface temperature:

θ ζ ζ∞ = − ⋅ −( , )1 4 1124

Center temperature:

θ ζ ζ∞ = − ⋅ +( , )0 4 724

Cup-mixing temperature:

θ ζθ

ζ∞

=−

−= − ⋅

∫( )

( )

( )

x x dx

x x dx

1

14

2

0

1

2

0

1

Transport Phenomena

Heat transfer coefficient: It is defined as:

( )h T T qR− = 1

Rearrange:

( ) ( )[ ]h T T T T

q Rk

qq R

k

R− − −

=

0 0

1

1

1

that is:

( )h kR

θ θ∞ − =1

Hence

Nu hDk

= = =4811

4 36.

cup-mixing temperature

surface temperature

Page 65: Fenómenos de Transporte (Calor)

Transport Phenomena

Length required

To determine the length required to heat the fluid to some desired temperature, we use the solution:

θ ζ ζ∞ = − ⋅( ) 4

Rewrite the equation in dimensional quantities, we get:

( )

( )LT T R C v

qp

=−

−0

14

ρ max

Written this in terms of the volumetric flow rate, F, we have:

( )

( )LT T C F

R qp

=−

−016 0

1

Transport Phenomena

Free convection

What we have dealt with so far:

1. Various problems of heat conduction, steady state as well as un-steady state.

2. Combined heat conduction and heat convection.

Now we will deal with a combined heat conduction and free convection problem.

The problem is two parallel plates with a fluid confined between them. The fluid region closer to the hot plate will rise, while the fluid region close to the cold plate will descend.

Page 66: Fenómenos de Transporte (Calor)

Transport Phenomena

Two parallel plates

T2

T1

z

y

vz(y)

Transport Phenomena

Steps 5 to 7: Heat balance equation & Momentum balance & physical constraints

The heat balance equation by conduction is:

k d Tdy

2

2 0=

The boundary conditions are:

@ y = -b; T = T2

@ y = +b; T = T1

Page 67: Fenómenos de Transporte (Calor)

Transport Phenomena

The movement of fluid due to the temperature difference is determined by the momentum balance equation:

µ ρd v ydy

dpdz

gz2

2( ) = +

In this equation, we will assume the viscosity is a constant, and the density to follow Taylor expansion:

( )ρ ρ ∂ρ∂

( ( )T) TT

T TT

≈ + −0 00

where T0 is yet an unspecified temperature.

Def. of the coefficient of volume expansion:

1

∂ρ∂

βT T

= −

the above Taylor series will become:

( )ρ ρ β ρ( ( ) ( )T) T T T T≈ − ⋅ ⋅ −0 0 0

Transport Phenomena

Put this in the momentum eqn., we get:

( )

µ ρ

β ρ

d v ydy

dpdz

g T

g T T T

z2

2 0

0 0

( ) ( )

( )

= +

− ⋅ ⋅ −

If the pressure gradient is solely due to the weight of the fluid, then:

dpdz

g T= − ρ( )0

The momentum equation is:

( )µ β ρd v ydy

g T T Tz2

2 0 0( ) ( )= − ⋅ ⋅ −

The physical meaning: The viscous forces (LHS) are balanced by the buoyancy forces.

Page 68: Fenómenos de Transporte (Calor)

Transport Phenomena

Summary:

The governing equations are:

k d T

dy

2

2 0=

@ y = -b; T = T2

@ y = +b; T = T1

and

( )µ β ρd v ydy

g T T Tz2

2 0 0( ) ( )= − ⋅ ⋅ −

@ y = -b; vz =0

@ y = +b; vz =0

Transport Phenomena

Step 8: Temperature & velocity distribution

The temperature distribution is:

T( y T T ybm) = − ⋅

∆2

where

T T T T T Tm = + = −1 22 12

; ∆

The velocity distribution:

v y T g b T

yb

A yb

yb

A

z ( ) ( )=

×

+

ρ β02

3 2

12∆

where

( )AT T

Tm=−6 0

Page 69: Fenómenos de Transporte (Calor)

Transport Phenomena

Now we require that the net volume flow is zero, that is:

v y dyzb

b

( )−∫ = 0

Solving this equation, we get:

A = 0

that is the reference T0 used in the Taylor series expansion for density is equal to the mean temperature, Tm.

The velocity distribution now is:

v y T g b T yb

ybz ( ) ( )=

ρ β02 3

12∆

Transport Phenomena

Equation of change You have seen the analysis of a number

of simple heat transfer problems by using the first principles on shell elements.

NOW

You will learn how to generalize the shel energy balance to obtain the equation of energy, which describe energy transport in homogeneous fluid or solid.

The advantage of using this equation of energy is that we do not need to set up shell balance every time we solve a problem

Page 70: Fenómenos de Transporte (Calor)

Transport Phenomena

Equations of energy

Rate of accummulationof ernal and kineticenergy

Rate of ernaland kinetic energyin by convection

Rate of ernaland kinetic energyout by convection

Net rate of heataddition byconduction

Net rate of workdone by systemon surroundings

intint int

=

+

(x,y,z)

x

y

z

Transport Phenomena

This is the first law of thermodynamics.

Kinetic energy: is energy associated with

the fluid motion, i.e. ρρρρv2 on a per unit volume basis.

Internal energy: is energy associated with

the random translational and internal motions of the molecules plus the energy of interaction between the molecules.

The internal energy depends on the local temperature and density of the fluid.

Page 71: Fenómenos de Transporte (Calor)

Transport Phenomena

Now back to the energy equation:

Rate of accummulationof ernal and kineticenergy

Rate of ernaland kinetic energyin by convection

Rate of ernaland kinetic energyout by convection

Net rate of heataddition byconduction

Net rate of workdone by systemon surroundings

intint int

=

+

Let do this term-by-term.

Term 1: Accummulation

( )Rate of accummulationof ernal and kineticenergy

x y zt

U vint^

= +

∆ ∆ ∆ ∂∂

ρ ρ12

2

where U^

is the internal energy per unit mass.

Transport Phenomena

Term 2 & 3: Convection

( )

( )

( )

Rate of ernaland kinetic energyin by convection

Rate of ernaland kinetic energyout by convection

y z v U v v U v

x z v U v v U v

x y v U v v U

xx

xx x

yy

yy y

zz

z

int int

^ ^

^ ^

^ ^

=

+

− +

+

+

− +

+

+

− +

+

+

∆ ∆

∆ ∆

∆ ∆

ρ ρ ρ ρ

ρ ρ ρ ρ

ρ ρ ρ

12

12

12

12

12

2 2

2 2

2 12

2ρvz z

+∆

Term 4: Conduction

( )[ ]

( )[ ] ( )[ ]

Net rate of heatby conduction

y z q q

x z q q x y q q

x x x x x

y y y y y z z z z z

= − +

− + −

+

+ +

∆ ∆

∆ ∆ ∆ ∆

∆ ∆

where qx, qy, qz are components of the

heat flux vector q

Page 72: Fenómenos de Transporte (Calor)

Transport Phenomena

Term 5: Work done on the surrounding.

Recall the following basic formula

( ) ( )Work Forcedis ce in the directionof the force

= ×

tan

( )The rate ofdoing work

Forcevelocity in the directionof the force

= ×

Consists of two parts:

a. Work against the volume forces, e.g. gravity.

b. Work against surface forces, e.g. pressure & viscous forces

Transport Phenomena

The work against the volume forces (gravity)

The rate of doing work against the three components of the gravity force:

( )( )Rate of work againstgravity force

x y z v g v g v gx x y y z z

= − + +ρ ∆ ∆ ∆

The work against the pressure

The rate of doing work against the static pressure:

( ) ( ) ( )[ ]

( ) ( ) ( ) ( ) ( ) ( )[ ]

Rate of work againstpressure force

y z pv pv

x z pv pv x y pv pv

x x x x x

y y y y y z z z z z

= − +

+ −

+

+ +

∆ ∆

∆ ∆ ∆ ∆

∆ ∆

the minus sign because work is done against gravity

Page 73: Fenómenos de Transporte (Calor)

Transport Phenomena

The work against the viscous forces

The rate of doing work against the viscous forces is:

( ) ( ) ( )[ ]

( ) ( ) ( )

( ) ( ) ( )[ ]

Rate of work againstviscous force

y z v v v v v v

x z v v v v v v

x y v v v v v v

xx x xy y xz z x xx x xy y xz z x x

yx x yy y yz z y yx x yy y yz z y y

zx x zy y zz z z zx x zy y zz z z z

=

+ + − + + +

+ + − + +

+

+ + − + +

+

+

+

∆ ∆

∆ ∆

∆ ∆

τ τ τ τ τ τ

τ τ τ τ τ τ

τ τ τ τ τ τ

Putting all those terms into the shell energy balance equation, then dividing by ∆∆∆∆x∆∆∆∆y∆∆∆∆z, we get the following energy balance equation per unit volume:

Transport Phenomena

( )( ) ( ) ( )

∂∂

ρ ρ

∂∂

ρ ρ

∂∂

ρ ρ

∂∂

ρ ρ

∂∂

∂∂

∂∂

ρ

∂∂

∂∂

∂∂

tU v

xv U v

yv U v

zv U v

qx

qy

qz

v g v g v g

xp v

yp v

zp v

x

y

z

x y z

x x y y z z

x y z

^

^

^

^

+

=

+

+

+

+

+

− + +

+ + +

− + +

12

12

12

12

2

2

2

2

( )( )

( )

+ + +

+ + +

+ +

∂∂

τ τ τ

∂∂

τ τ τ

∂∂

τ τ τ

xv v v

yv v v

zv v v

x x x x y y x z z

yx x yy y yz z

z x x z y y z z z

convection

conduction

gravity

pressure

viscous

Page 74: Fenómenos de Transporte (Calor)

Transport Phenomena

Such a massive energy equation can be written in a compact vector-tensor:

( )( )

( )[ ]( )

∂∂

ρ

ρ

ρ

τ

tU v

v U v

q

v g

pv

v

^

^

+

=

− ∇ • +

− ∇ •

+ •

− ∇ •

− ∇ • •

12

12

2

2

The equation obtained so far is fairly general.

rate of gain of energy per unit volume

rate of energy input per unit volume by convection

rate of energy input per unit volume by conduction

rate of work done on fluid per unit volume by gravitational forces

rate of work done on fluid per unit volume by pressure forces

rate of work done on fluid per unit volume by viscous forces

Transport Phenomena

BUT we could make use of the continuity equation to obtain another form:

Combine the accummulation term & the convection term, we get:

( )

( ) ( ) ( ) [ ]( )ρ ∂

∂∂ρ∂

ρ

ρ τ

tU v v U v U v

tv

q v g pv v

^ ^ ^+

+ • ∇ +

+ +

+ ∇ •

=

− ∇ • + • − ∇ • − ∇ • •

12

12

12

2 2 2

Recall the continuity equation:

( )∂ρ∂

ρt

v+ ∇ •

= 0

the above equation will become:

( ) ( ) ( ) [ ]( )ρ ρ τDDt

U v q v g pv v^+

= − ∇ • + • − ∇ • − ∇ • •1

22

in which we have used the definition of the substantial derivative.

DDt t

vx

vy

vzx y z= + + +∂

∂∂∂

∂∂

∂∂

Page 75: Fenómenos de Transporte (Calor)

Transport Phenomena

Now we recall the mechanical energy equation:

( ) ( ) ( )[ ]( ) ( )

ρ ρ

τ τ

DDt

v p v pv v g

v v

12

2

= ∇ • − ∇ • + •

− ∇ • • + ∇:

Substracting this mechanical energy equation from the energy equation:

( )( )

( )

ρ

τ

D UDt

q

p v

v

^

:

=

− ∇ •

− ∇ •

− ∇

This is called thermal energy equation.

rate of gain of internal energy per unit volume

rate of internal energy input by conduction

reversible rate of internal energy increase per unit volume by compression

irreversible rate of internal energy increase by viscous

Transport Phenomena

Equations written in terms of internal energy are not directly too useful.

One prefers equations written in terms of temperature and heat capacities

From thermodynamics:

d U U

Vd V U

TdT

p T pT

d V C dT

T V

Vv

^^

^

^^

^ ^

^

^

=

+

= − +

+

∂∂

∂∂

The thermal energy equation will become:

( ) ( ) ( )ρ ∂∂

τC DTDt

q T pT

v vvV

^

^:= − ∇ • −

∇ • − ∇

If we express q in terms of temperature gradient and stress tensors in terms of velocity gradient, the above equation will be in terms of temperature & velocity

Page 76: Fenómenos de Transporte (Calor)

Transport Phenomena

Special cases:

For a Newtonian fluid with constant k:

( ) ( )ρ ∂∂

µΦC DTDt

k T T pT

vvV

v

^

^= ∇ −

∇ • +2

where ΦΦΦΦv is the dissipation function, and it takes the form for rectangular coordinates:

Φ vx y z

y x z y x z

x y z

vx

vy

vz

vx

vy

vy

vz

vz

vx

vx

vy

vz

=

+

+

+

+

+ +

+ +

+ +

2

23

2 2 2

2 2 2

2

∂∂

∂∂

∂∂

∂∂

∂∂

∂∂

∂∂

∂∂

∂∂

∂∂

∂∂

∂∂

Transport Phenomena

Special case: Ideal gas

For ideal gas, the change of pressure versus temperature at constant volume

∂∂pT

pTV

=^

the thermal energy equation is:

( ) ( )ρ µΦC DTDt

k T p vv v

^= ∇ − ∇ • +2

Special case: Constant pressure fluid

From thermodynamics:

d U pd V C dTp^ ^ ^

= − +

and the thermal energy equation is:

( )ρC DTDt

k Tp^

= ∇ 2

neglecting viscous dissipation.

Page 77: Fenómenos de Transporte (Calor)

Transport Phenomena

Special case: Constant density fluid

We have for this case:

( )ρC DTDt

k Tp^

= ∇ 2

Special case: Solids

( )ρ ∂∂

C Tt

k Tp^

= ∇ 2

Transport Phenomena

Heat transfer coefficient What we have learnt?

1. Modes of heat transfer

2. Thermal conductivity & thermal diffusivity

3. Shell heat balance procedure

4. Simple examples

5. Temperature dist’n ⇒⇒⇒⇒ heat flux

6. Steady state vs transient

7. Shape and size of objects

8. Similarity between heat and momentum transfer.

9. Heat transfer coefficient (HTC)of simple problems can be obtained from first principles.

Now consider HTC a bit further.

Page 78: Fenómenos de Transporte (Calor)

Transport Phenomena

Definition of heat transfer coefficient

General definition:

Q=hA(Tw - T0)

stagnant film

hot surface, Tw

bulk fluid, T0

hot object

Transport Phenomena

The heat transfer coefficient, unlike thermal conductivity, does vary with the situation.

Two situations where HTC is defined

1. Flow in conduit

2. Flow around submerged objects

HTC:

1. Local heat transfer coefficient: vary along the direction of flow

2. Overall heat transfer coefficient: a combination of HTCs of processes in series

Page 79: Fenómenos de Transporte (Calor)

Transport Phenomena

Flow in conduits

There are three definitions:

( )( ) ( )( )Q h DL T T h DL T Tb b= − = −1 0 1 1 2 0 2 2π π, , , ,

( ) ( ) ( )Q h DL

T T T Tb b=− + −

10 1 1 0 2 2

2π , , , ,

( ) ( ) ( )( ) ( )[ ]Q h DLT T T T

T T T Tb b

b b

=− − −

− −

ln

, , , ,

, , , ,ln /π 0 1 1 0 2 2

0 1 1 0 2 2

T0,1 T0,2

Tb,1 Tb,2

Transport Phenomena

First definition:

( )( ) ( )( )Q h DL T T h DL T Tb b= − = −1 0 1 1 2 0 2 2π π, , , ,

This definition is based on information at one point. In general, h1 is different from h2.

Second definition:

( ) ( ) ( )Q h DL

T T T Tb b=− + −

10 1 1 0 2 2

2π , , , ,

The second definition is based on the average of the driving force.

The third definition:

( ) ( ) ( )( ) ( )[ ]Q h DLT T T T

T T T Tb b

b b

=− − −

− −

ln

, , , ,

, , , ,ln /π 0 1 1 0 2 2

0 1 1 0 2 2

The third definition is based on the log mean driving force.

Page 80: Fenómenos de Transporte (Calor)

Transport Phenomena

If the temperature of the fluid changes appreciably, the local heat transfer coefficient is preferable:

dQ = hloc (ππππDdz) (T0 - Tb )

The heat transfer coefficient obtained in the analysis of flow in a tube is local, i.e.

h = h(z)

Transport Phenomena

Flow around an object

Definition of the mean HTC

Q = hm (4ππππR2) (T0 - T∞∞∞∞ )

Definition of the local HTC

dQ = hloc (dA) (T0 - T∞∞∞∞ )

T0 T∞∞∞∞

Page 81: Fenómenos de Transporte (Calor)

Transport Phenomena

Warning about the use of HTC

To use the heat transfer coefficient, make sure that you know exactly:

1. The def. of temperature driving force

2. The def. of heat transfer area

Heat transfer coefficient is a function of:

1. the fluid properties (k, Cp, ρρρρ, µµµµ)

2. the system’s geometry

3. the flow velocity

4. the driving force

5. the surface temperature variation

h = h(k, Cp, ρρρρ, µµµµ, v, T0, Tb, D, L)

Transport Phenomena

Order of magnitude of HTC

HTC varies widely depending on the situation.

Situation h (kcal/m2/hr/K) Free convection Gases Liquids Boiling water

3 - 20 100 - 600 1000 - 20,000

Forced convection Gases Viscous liquids Water

10 - 100 50 - 500 500 - 10,000

Condensing vapors 1,000 - 100,000

Page 82: Fenómenos de Transporte (Calor)

Transport Phenomena

Correlations for HTC in tube

As we have seen, HTC is a function of

h = h(k, Cp, ρρρρ, µµµµ, v, T0, Tb, D, L)

There are many parameters in RHS. We need a means to reduce the number of parameters.

NON-DIMENSIONALIZATION

Transport Phenomena

For a tube of radius R and length L, the total heat flow into the fluid is:

Q kT r z

rRd dz

L

r R

=

∫∫

=

∂ θ∂

θπ ( , , )

0

2

0

Using the definition of heat transfer coefficient

( )( )Q h DL T Tb= −1 0 1 1π , ,

we get

( )( )hDL T T

k T r zr

Rd dzb

L

r R1

0 1 1 0

2

0

1=−

∫∫

=π∂ θ

∂θ

π

, ,

( , , )

For a constant physical properties system, the thermal energy balance equation is:

ρ µΦC DTDt

k Tp v= ∇ +2

In principles, by solving this equation and substitute the result into the HTC equation we will obtain h1.

Page 83: Fenómenos de Transporte (Calor)

Transport Phenomena

NONDIMENSIONLIZE:

By defining

t tVD

r rR

z zL

TT T

T Tb

* * * * ,

, ,

; ; ;= = = =−−

0 1

1 0 1

( )Nuh D

kDV C

kBr

Vk T T

p

b1

12

1 0 1

= = = =−

; Re ; Pr ;, ,

ρµ

µ µ

the HTC and thermal energy eqns become

( )NuL D

T r zr

d dzr

10

2

0

1

1

12

= −

∫∫

∂ θ∂

θπ

/( , , )* * *

**

*

DTDt

T Brv

*

** * *

Re Pr Re Pr= ∇ +1 2 Φ

THUS, we see that

Nu Nu Br L D1 1= (Re, Pr, , / )

If we neglect the viscous dissipation

Nu Nu L D1 1= (Re, Pr, / )

Transport Phenomena

The functional dependence

Nu Nu L D1 1= (Re, Pr, / )

was obtained assuming constant physical properties.

For large temperature difference, the following functional dependence is expected to allow for temperature variation of the viscosity:

Nu Nu L D b1 1 0= (Re, Pr, / , / )µ µ

Page 84: Fenómenos de Transporte (Calor)

Transport Phenomena

Thus, we see that the process of nondimensionalization has reduced

h = h(k, Cp, ρρρρ, µµµµ, v, T0, Tb, D, L) to

Nu Nu L D1 1= (Re, Pr, / )

A significant reduction in the number of parameter dependence.

Similarly, we have:

Nu Nu L Da a= (Re, Pr, / )

Nu Nu L Dln ln (Re, Pr, / )=

Nu Nu z Dloc loc= (Re, Pr, / )

Transport Phenomena

Some correlations in the literature Highly turbulent flow:

Nu bln

. /.

. Re Pr=

0 026 0 8 1 3

0

0 14µµ

All physical properties are evaluated at (Tb,1 + Tb,2)/2, except µµµµ0 which is evaluated at (T0,1 + T0,2)/2.

Laminar flow

Nu DL

bln

/ // .

. Re Pr=

186 1 3 1 3

1 3

0

0 14µµ

Theoretical analysis by Leveque (1928) gives:

Nu DLln

/ //

. Re Pr=

162 1 3 1 3

1 3

which is remarkable result.

Page 85: Fenómenos de Transporte (Calor)

Transport Phenomena

Correlations for HTC around a submerged object & packed bed

The commonly used correlation for a sphere in an infinite environment:

h Dk

Dv Ck

m

f

f

f

p

f

= +

∞2 0 0 60

1 2 1 3

. ./ /

ρµ

µ

where all physical properties are evaluated at the film temperature.

The correlation for a packed bed is:

h Dk

Dv Ck

m

f

f

f

p

f

= +

∞2 0 11

0 6 1 3

. .. /

ρµ

µ

where all physical properties are evaluated at the film temperature.

The coefficient of 1.1 (instead of 0.6) and exponent 0.6 (instead of 0.5) are due to the density of packing in the fixed bed.


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