CHAPTER-4
TRANSIENT HEAT
CONDUCTION
By. Wubishet Degife
18/19/2020 MEng 3292
Whenever the boundary temperatures change the
temperature at each point of the system change with
time until steady-state temperature distribution is
reached. These are categorized as unsteady, or
transient heat conduction. Cooling of a hot metal
billet with air or water is a typical example.
The simplest situation is where temperature gradients
within the solid are small such that uniform
temperature can be assumed at any time. The
analysis that uses this approach is termed as lumped
capacitance method. Following this, analytical and
numerical methods will also be seen.
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4.1 THE LUMPED CAPACITANCE METHOD
A typical application in heat treatment is quenching
where a metal or an alloy with initial temperature Ti
is suddenly immersed in a liquid of lower
temperature, T∞ < Ti. This is shown in fig-
chp5\fig5.1.pptx . If quenching begins at time t = 0,
then given sufficient time, the temperature of the
solid will decrease eventually to T∞. The heat
transfer is due to convection on the surface. The
assumption, here, is that the temperature of the solid
is spatially uniform. This assumption, according to
Fourier’s law implies infinite k which is clearly
impossible. But when38/19/2020 MEng 3292
compared to the convective heat transfer resistance,
it can approximately satisfy the above condition.
Energy balance on the surface gives
After substitution
Let
0EEEEEE ginstoutgin ==+=+
dt
dTVc)TT(hAEE sstout =−−=−
−=
−
dt
d
hA
Vc
givewillthisand,TT
s
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Separating the variables and integration gives
where θi = Ti – T∞ is the initial condition
Evaluating the integrals will give
The above equation gives the
• time required for the temperature to reach T or
• Temperature at a prescribed time t
−=
i
t
0s
dtd
hA
Vc
−=
−
−=
−=
tVc
hAexp
TT
TT
ortlnhA
Vc
s
ii
is
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The solution also indicates exponential decay as
shown in fig-chp5\fig5.2.pptx .
If we define τt as the thermal time constant, which is
an indicator of how fast the solid will respond to
surrounding temperature change
Where
Rt = convection heat transfer resistance
Ct = thermal capacitance (lumped)
Increase in τt (due to increase in Rt or Ct or both)
tt
s
t CR)Vc(hA
1=
=
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the solid will respond slowly.
Total heat transfer up to some time t will be
Substitution of the solution gives
For quenching Q is positive and the solid experiences a decrease in energy.
==
=−==
t
0s
t
0
ss
dthAdtqQ
dthAdt)TT(hAdtqdQ
stout
t
i EEt
exp1)Vc(Q −==
−−=
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5.2 VALIDITY OF THE LUMPED
CAPACITANCE METHOD
The previous method is the simplest and the most
convenient method for the solution of transient
problems. But it comes at a cost
- the assumption made-infinite thermal conductivity
Under what condition will this assumption hold?
Consider the steady-state condition shown in fig-
chp5\fig5.3.pptx . T∞<Ts,2<Ts,1.
Under steady-state condition
)TT(hA)TT(L
kA2,s2,s1,s −=−
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Rearranging results in
Bi-Biot number-a dimensionless parameter which is
a ratio of the two thermal resistances.
Bi<<1: Rt,conv >> Rt,cond-equivalent to k→∞
Bi>>1: Rt,conv<< Rt,cond – not good for lumped
capacitance approach
For transient processes, consider fig-
chp5\fig5.4.pptx. The block is initially at Ti and
experiences cooling when it is immersed in a fluid
of T∞<Ti.
Bik
hL
R
R
hA/1
kA/L
TT
TT
conv,t
cond,t
2,s
2,s1,s ===−
−
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For Bi<<1 the temperature gradient in the block is
small and T(x,t)≈T(t).
For moderate to large values of Bi-temperature
gradient is significant.
The lumped capacitance method will hold true for
Formula to be used for different geometries would
require the definition of Lc, a characteristic length,
as
Lc = V/As
1.0k
hLBi c =
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Plane wall: wall thickness L, Lc=(LhW)/2hW=L/2
Cylinder: radius ro, Lc=(πro2W)/2πroW=ro/2
Sphere: radius ro, [4/3(πro3)]/4πro
2 = ro/3
For conservative approach, Lc values
Plane wall: same cylinder and sphere: ro
Using Lc = V/As, the exponent of the transient
equation may be expressed as (after some
manipulation)
2
c
c
2
c
c
c
s
L
t
k
hL
L
t.
c
k.
k
hL
cL
ht
Vc
thA
===
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The above is a product of two dimensionless numbers
Fo is called Fourier number-dimensionless time.
Substitution in the solution gives
2
s
L
tFowhereFo.Bi
Vc
thA
=
)Fo.Biexp(TT
TT
ii
−=−
−=
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Example 5.1
A thermocouple junction, which may be approximated
as a sphere, is to be used for temperature
measurement in a gas stream. The convection
coefficient between the junction surface and the gas
is h = 400 W/m2.K, and the junction thermophysical
properties are k = 20 W/m.K, c = 400 J/kg.K, and
ρ=8500 kg/m3. Determine the junction diameter
needed for the thermocouple to have a time constant
of 1 s. If the junction is at 25oC and is placed in a
gas stream that is at 200oC, how long will it take for
the junction to reach 199oC?
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Figure for example 5.1148/19/2020 MEng 3292
Solution
1. As = πD2 and V = πD3/6
Substituting numerical values
With Lc = ro/3
Lumped capacitance method is an excellent approxim.
c6
Dx
Dh
1 3
2t
=
m10x06.7400x8500
1x400x6
c
h6D 4t −===
34
o 10x35.220x3
10x53.3x400
k
)3/r(hBi −
−
===
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2. The time required for the junction to reach 199oC is
t
4
i
2
3
5s2.5t
200199
20025ln
400x6
400x10x06.7x8500
TT
TTln
)D(h
c)6/D(t
=
−
−=
−
−=
−
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5.3 GENERAL LUMPED CAPACITANCE
ANALYSIS
Transient heat conduction can also be initiated by
radiation; by a heat flux from a sheet of electrical
heater attached to a surface, etc.
fig-chp5\fig5.5.pptx depicts the influence of
convection, radiation, an applied surface heat flux
and internal energy generation.
Applying energy conservation principle
dt
dTVcA)]TT()TT(h[EAq
dt
dTVcA)qq(EAq
)r,c(s
4
sur
4
gh,s
''
s
)r,c(s
''
rad
''
convgh,s
''
s
=−+−−+
=+−+
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The above is a non-linear, first order, non-
homogeneous differential equation which can not be
integrated to obtain an exact solution
-requires approximate solution by numerical (finite
difference) approach.
Exact solution for simplified equation:
(a) If no imposed heat flux or internal generation and
convection is absent (vacuum) or negligible relative
to radiation, the above equation simplifies to
)(,
44 -= surrs TTAdt
dTVc
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Separating the variables and integrating
The above will not give T explicitly and no solution
for Tsur = 0 (deep space). However for Tsur = 0 in the
above integral equation, it yields
−
+
−
+−
−
+=
−=
−−
sur
i1
sur
1
isur
isur
sur
sur
3
surr,s
T
T 44
sur
t
0
r,s
T
Ttan
T
Ttan2
TT
TTln
TT
TTln
TA4
Vct
givesTT
dTdt
Vc
A
i
−=
3
i
3
r,s T
1
T
1
A3
Vct
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(b)For negligible radiation, and for θ = T-T∞ , dθ/dt =
dT/dt the equation reduces to a linear, first-order,
non-homogeneous differential equation
The above can be converted to a homogeneous
equation by using
Separating variables and integrating from 0 to t
gives the
+=
==−+
Vc
EAqb
Vc
hAa0ba
dt
d gh,s
''
c,s
0adt
dinresults
a
b ''
' =+−
20)to( ''
i 8/19/2020 MEng 3292
solution as
For steady state t→∞, the equation reduces to
(T-T∞)=(b/a)
)]atexp(1[TT
a/b)atexp(
TT
TT
)atexp()a/b(TT
)a/b(TT)atexp(
ii
ii'
'
−−−
+−=−
−
−=−−
−−−=
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Example 5.2
Consider the thermocouple and convection condition
of example 5.1, but now allow for radiation
exchange with the walls of a duct that encloses the
gas stream. If the duct walls are at 400oC and the
emissivity of the thermocouple bead is 0.9, calculate
the steady-state temperature of the junction. Also,
determine the time for the junction temperature to
increase from initial condition of 25oC to a
temperature that is within 1oC of its steady-state
value.
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Figure for example 5.2238/19/2020 MEng 3292
Solution
1. Energy balance on the thermocouple
Substituting numerical values gives
T = 218.7oC
2. As this involves the transient part, the complete
equation is
Numerical solution for T = 217.7oC gives t = 4.9 s
0EE outin =−
0A)]TT(h)TT([ s
44
sur =−−−
stoutin EEE =−
dt
dTVcA)]TT()TT(h[ s
44sur =−+−−
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5.4 SPATIAL EFFECTS
For a one dimensional problem, the transient heat
conduction equation can be determined from the
general heat conduction equation as
The solution will require two boundary conditions and
one initial condition given as (fig-chp5\fig5.4.pptx)
IC: T(x,0) = Ti
BC: (1) (∂T/∂x)@x=0= 0
(2) [-k(∂T/∂x)@x=L] = h[T(L,t)-T∞]
t
T1
x
T2
2
=
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The solution will have a functional form of
T=T(x, t, Ti, T∞, L, k, α, h) (too many variables!)
Non-dimensionalising the dependent variable T will
reduce the number of variables as follows:
Let θ=T-T∞, θi = Ti – T∞, dT = dθ
Define θ*=θ/θi then, dT = dθ =θidθ*
A dimensionless spatial coordinate is defined as
x* =x/L → dx = Ldx*
and dimensionless time
t*= (αt/L2) = Fo (Fourier No.), dt = (L2/α)dt*
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Substituting the above in the transient conduction
equation will give
And the initial and the boundary conditions become
*
*
2*
*2
*2
*
i
2*2
*2
i
txor
)t()/L(
1
xL
=
=
)t,1(Bix
0x
1)0,x(
**
1x@*
*
0x@*
*
**
*
*
−=
=
=
=
=
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]where Bi = hL/k
In dimensionless form, the functional dependence
becomes
θ* = f(x*, Fo, Bi)
much simpler than the representation of function T.
5.5 PLANE WALL WITH CONVECTION
This has an exact solution and also an approximate
solution derived from the exact solution.
5.5.1 Exact Solution
No attempt will be made to go through the steps of the
exact solution. Referring to fig-chp5\fig5.6.pptx, a
plane wall of thickness 2L with the assumption that 288/19/2020 MEng 3292
this thickness is much smaller than the width and
height (allows one dimensional justification). For
initial wall temperature, T(x,0) = Ti and suddenly
immersed in a fluid of T∞, the exact solution is in
series form and determined as
)2sin(2
sin4C
)xcos()Foexp(C
nn
nn
1n
*
n
2
nn
*
+=
−=
=
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and the discrete values ζn, called eigenvalues are
positive roots of the transcendental equation
ζn tan ζn =Bi or tan ζn =Bi/ ζn
The first few solutions for Bi=10 are given in the
accompanying graph (fig-chp5\eigen1.pptx). Roots
for different values of Bi are given in the handout.
5.5.2 Approximate Solutions
For values of Fo>0.2, the infinite series solution can
be approximated by the first term of the series only.
This will give
)xcos()Foexp(C *
1
2
11
* −=308/19/2020 MEng 3292
At midplane (x*=0) fig-chp5\fig5.7.pptx
This will give θ* = θo* cos(ζ1x
*) fig-
chp5\fig5.8.pptx
The above equation shows that the time dependence of
the temperature at any location within the wall is the
same as that of the midplane temperature.
5.5.3 Total Energy Transfer
For a time interval from t=0 to any time t>0, energy
conservation equation can be written as
Ein –Eout = ΔEst
)Foexp(CTT
TT 2
11
i
o*
o −=−
−
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For heat transfer from the surface
Ein = 0 and this gives Eout = -ΔEst = Q
Or Q = -[E(t) – E(0)] = -∫ρc[T(x,t) – Ti] dV
To nondimensionalise, let
Qo = ρcV(Ti – T∞) Qmax at t→∞
The nondimensional expression will be fig-
chp5\fig5.9.pptx
Use the approximate solution and with V= 2LWH,
dV=(dx)WH=(dx*L)WH to get (x*→0 to 1)
−=−
−−=
dV)1(V
1
V
dV
TT
]T)t,x(T[
Q
Q *
i
i
o
*
o
1
1
o
sin1
Q
Q
−=
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5.5.4 Additional Considerations
The above solution is applicable to a plane wall,
thickness L and insulated on one side (x* = 0).
The foregoing results may be used to determine the
transient response of a plane wall to a sudden
change in surface temperature →equivalent to h=∞
which gives Bi = ∞, and T∞ replaced by Ts.
5.6 RADIAL SYSTEMS WITH CONVECTION
5.6.1 Infinite Cylinder
For an infinite cylinder, the temperature change is in
the radial direction only. This approximation can
hold true for .10r/L o 338/19/2020 MEng 3292
5.6.1 Exact Solution
In dimensionless form, the solution is given in series
form as
And the eigenvalues of ζn are positive roots of the
transcendental equation
fig-chp5\eigen2.pptx
)(J)(J
)(J2C
andr
tFowhere)r(J)Foexp(C
n
2
1n
2
o
n1
n
n
2
o1n
*
no
2
nn
*
+=
=−=
=
Bi)(J
)(J
no
n1n =
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where J1 and Jo are Bessel functions of the first kind of
orders one and zero respecively.
5.6.2 Sphere
For a sphere with radius ro, the exact solution is given
by
2
o
*
n
1n*
n
2
nn
*
r
tFowhere)rsin(
r
1)Foexp(C
=−=
=
)2sin(2
)]cos()[sin(4C
nn
nnnn
−
−=
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where the discreet values of ζn are the positive roots of
the transcendental equation (fig-chp5\eigen3.pptx)
1 – ζncot ζn = Bi
5.6.2 Approximate Solutions
For the infinite cylinder and sphere the series solution
can be approximated by a single term for Fo>0.2
and the time dependence of the temperature at any
location is the same as that of the centerline or
centerpoint.
Infinite Cylinder
Tcenterlineiswhere)r(J
or)r(J)Foexp(C
*
o
*
1o
*
o
*
*
1o
2
11
*
=
−=
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given by (@r = r* = 0)
fig-chp5\fig5.10.pptx , fig-chp5\fig5.11.pptx
Sphere
Given by
fig-chp5\fig5.13.pptx , fig-chp5\fig5.14.pptx
)Foexp(C 2
11
*
o −=
Tintcenterpoiswhere)rsin(r
1
or)rsin(r
1)Foexp(C
*
o
*
1*
1
*
o
*
*
1*
1
2
11
*
=
−=
)Foexp(C 2
11
*
o −=
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5.6.3 Total Energy Transfer
Using similar procedure as that of the plane wall, the
heat transfers can be determined as:
Infinite Cylinders
fig-chp5\fig5.12.pptx
Sphere
fig-chp5\fig5.15.pptx
)(J2
1Q
Q11
1
*
o
o
−=
)]cos()[sin(3
1Q
Q1113
1
*
o
o
−−=
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5.6.4 Additional Considerations
The above also gives the solution when the cylinder or
sphere is subjected to a sudden change in surface
temperature to Ts. Replace T∞ by Ts which results
due to infinite h value, hence infinite Bi.
Example 5.3
A new process for treatment of a special material is to
be evaluated. The material, a sphere of radius ro = 5
mm, is initially in equilibrium at 400oC in a furnace.
It is suddenly removed from the furnace and
subjected to a two-step cooling process.
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Step 1
Cooling in air at 20oC for a period of time ta until the
center temperature reaches a critical value,
Ta(0,ta)=335oC. For this situation, the convective
heat transfer coefficient is ha = 10 W/m2.K.
After the sphere has reached this critical temperature,
the second step is initiated.
Step 2
Cooling in a well-stirred water bath at 20oC, with a
convective heat transfer coefficient of hw =
6000W/m2.K.
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ρ = 3000 kg/m2, k=20 W/m.K, c=1000 J/kg.K and
α = 6.66 x 10-6 m2/s
1. Calculate the time ta required for step 1 of the
cooling process to be completed.
2. Calculate the time tw required during step 2 of the
process for the center of the sphere to cool from
335oC to 50oC.
Solution
1. To check if lumped capacitance method can be
used with Lc = ro/3,
41
4oo 10x33.820x3
005.0x10
k3
rhBi −===
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Figure for example 5.3 428/19/2020 MEng 3292
Indeed the lumped capacitance method can be used.
This will give
2. To check if the lumped capacitance method can be
used
Lumped capacitance method can not be used. A one
term approximation can be used.
43
s9420335
20400ln
20x3
1000x005.0x3000
TT
TTln
h3
crln
Ah
Vct
a
i
a
o
o
i
sa
a
=−
−=
−
−==
1.050.020x3
005.0x6000
k3
rhBi oo ===
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With the Biot number now defined as
Bi=hwro/k=(6000x0.005)/20 = 1.50
The table gives C1 = 1.376 and ζ1 = 1.8 rad
One term approximation is justifiable.
44
2.082.020335
2050x
376.1
1ln
8.1
1
TT
T)t,0(Tx
C
1ln
1
Cln
1Fo
2
i
w
1
2
11
*
o
2
1
=
−
−−=
−
−−=
−=
s1.310x66.6
005.082.0
rFot
6
22
ow ===
−
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5.7 THE SEMI-INFINITE SOLID
This is a geometry that is infinite in size in all but one
direction having one surface only. The interior is
well removed from the surface that it is unaffected
by the surface condition.
i.e. T(x→∞,t) = Ti
A one dimensional transient equation can be used for
such situation. Heat transfer near the surface of the
earth or transient response of a thick slab are a few
of the examples that can be mentioned.
Three possible situations can exist on the surface as
shown in fig-chp5\fig5.16.pptx .458/19/2020 MEng 3292
The familiar equation will be used
Interior boundary condition
T(x→∞,t) = Ti
The above equation can be transformed into an ODE
by using a function of the form η = η(x,t) that will
result in T(η) instead of T(x,t).
Transformation is done as follows:
Use the transformation equation
η ≡ x/(4αt)1/2
i2
2
T)0,x(T.C.It
T1
x
T=
=
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to get the following derivatives
d
dT
t2d
dT
)t4(t2
x
td
dT
t
T
d
Td
t4
1
)t4(
1
d
dT
)t4(
1
d
d
xx
T
d
d
x
T
d
dT
)t4(
1
xd
dT
x
T
2/1
2
2
2/12/12
2
2/1
−=−=
=
=
=
=
=
=
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Substitution gives
Boundary and initial conditions for case (1):
For x = 0 → η = 0
T(0,t) → T(η=0) = Ts
For x→∞, and t=0 (both corresponding to η→ ∞)
T(η→∞) = Ti
The equation to be solved is
d
dT2
d
Td2
2
−=
d2
ddT
ddTd
ord
dT2
d
ddTd
−=
−=
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Integration gives
Integrating a second time, we obtain
u is a dummy variable.
Applying the boundary condition T(η=0) = Ts gives
C2 = Ts The resulting equation will be
)exp(Cd
dTorC
d
dTln 2
1
'
1
2
−=+−=
20
2
1 Cdu)uexp(CT +−=
+−=
0s
2
1 Tdu)uexp(CT
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Applying the second boundary condition
T(η→∞) = Ti results in
Evaluating the definite integral gives
Hence the temperature distribution may be expressed
as
+−=0
s
2
1i Tdu)uexp(CT
2/1
si1
)TT(2C
−=
erfdu)uexp()/2(TT
TT
0
22/1
si
s −=−
−
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erf η, called Gaussian error function is a standard
mathematical function whose values are given in
tables.
The surface heat flux may be obtained by using
Fourier’s law at x = 0 as follows:
2/1
is''
s
0@2/122/1
si
0@si
0x@
''
s
)t(
)TT(kq
)t4)(exp()/2)(TT(k
dx
d
d
)erf(d)TT(k
x
Tkq
−=
−−−=
−−=
−=
=−
==
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Analytical solutions can also be determined for Case (2)
and Case (3). The summary of the results is given
below.
Case (1) Constant Surface Temperature: T(0,t)=Ts
Temperature within the medium monotonically approach
Ts with increasing t. Surface temperature gradient, and
hence the surface heat flux decreases as t-1/2.
t
)TT(k)t(q
t2
xerf)(erf
TT
T)t,x(T
is''
s
si
s
−=
==
−
−
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Case (2) Constant Surface Heat Flux:
Surface temperature T(0,t) = Ts(t) for a constant heat
flux increases monotonically as t1/2.
Case (3) Surface Convection:
''
o
''
s qq =
−
−=−
t2
xerfc
k
xq
t4
xexp
k
)/t(q2T)t,x(T
''
o
22/1''
oi
)]t,0(TT[hx
Tk
0x@
−=
−
=
+
+−
=
−
−
k
th
t2
xerfc
k
th
k
hxexp
t2
xerfc
TT
T)t,x(T2
2
i
i
538/19/2020 MEng 3292
erfc η ≡ 1 - erf η - Complementary error function
For h→∞, the 2nd expression goes to zero, T∞=Ts.
Gives the same result as case 1.
Ts and temperatures within the medium approach the
fluid temperature T∞ with increasing time. As Ts
approaches T∞, there will be a reduction in heat flux.
fig-chp5\fig5.17.pptx shows the temperature
distribution on the surface and in the medium .
An interesting application of case 1 is when two semi-
infinite solids, at temperatures TA,i and TB,i (TA>TB)
are placed in
548/19/2020 MEng 3292
contact at their free surfaces as shown in fig-
chp5\fig5.18.pptx . For negligible contact
resistance, this will dictate a surface temperature Ts
at time of contact on both surfaces.
And solving for Ts gives
2/1
B
i,BsB
2/1
A
i,AsA''
B,S
''
A,S)t(
)TT(k
)t(
)TT(k,qq
−−=
−−=
2/1
B
2/1
A
i,B
2/1
Bi,A
2/1
A
s)ck()ck(
T)ck(T)ck(T
+
+=
558/19/2020 MEng 3292