재 료 상 변 태
Phase Transformation of Materials
2008.09.30.
박 은 수
서울대학교 재료공학부
Contents for previous class
• Ternary Equilibrium: Ternary Phase Diagram
< Chapter 2 >
• Diffusion
• Interstitial Diffusion – Fick’s First Law
• Effect of Temperature on Diffusivity
* Simple Eutectic Systems Δ H
mixL= 0
Tie line: binary system
>> 0 Δ H
mixSα L+α L L+β β
α L
β
Tie line: ternary system
Diffusion
Diffusion
Diffusion : Mechanism by which matter transported through matter
What is the driving force for diffusion?
⇒ a concentration gradient (x)
⇒ a chemical potential (o)
But this chapter will explain with concentration
gradients for a convenience.
Substitutional diffusion Interstitial diffusion
Diffusion: THE PHENOMENON
Assume that there is no lattice distortion and also that there are always six vacant sites around the diffusion atom.
JB : Flux of B atom
ΓB : Average jump rate of B atoms n1 : # of atoms per unit area of plane 1 n2 : # of atoms per unit area of plane 2
2
1
6
1 6
1 n n
J
B= Γ
B− Γ
BRandom jump of solute B atoms in a dilute solid solution of a simple cubic lattice
Interstitial diffusion
α α
= =
B B
C (1) n
1, C (2) n
2(atoms m-2 s-1)
( n
1− n
2) = α ( C
B(1) − C
B(2) )
DB: Intrinsic diffusivity or Diffusion coefficient of B
⇒ depends on
microstructure of materials
Fick’s First Law of Diffusion
(
1 2)
2
1
6
1 6
1 6
1 n n n n
J
B= Γ
B− Γ
B= Γ
B−
( ) ⎛ α ⎞ ∂ ∂
= Γ − = − ⎜ ⎝ Γ ⎟ ∂ ⎠ = − ∂
2
1 2
1 1
6 6
B B
B B B B
C C
J n n D
x x
( )
α
− = − ∂ ∂
B B B
C (1) C (2) C x
α: Jump distance
Magnitude of D in various media Gas : D ≈ 10-1 cm2/s
Liquid : D ≈ 10-4 ~ 10-5 cm2/s
Solid : Materials near melting temp. D ≈ 10-8 cm2/s Elemental semiconductor (Si, Ge) D ≈ 10-12 cm2/s
Concentration varies with position.
EFFECT OF TEMPERATURE on Diffusivity
Thermal Activation
Temperature Γ D, Diffusivity
(Interstitial atom jumps times per second)
0
exp
IDB B
D D Q
RT
= −
m m m
G H T S
Δ = Δ − Δ 1
2B
6
BD = Γ α
B
? jump frequency Γ Thermally activated process
Ζ : nearest neighbor sites ν : vibration frequency
ΔGm : activation energy for moving
( ) ( )
ID m
m m
B
Q H
RT H
R S
D
≡ Δ
Δ
⎥⎦ −
⎢⎣ ⎤
⎡ Ζ Δ
= exp / exp /
6
1 α
2ν
( G
mRT )
B
= Ζ exp − Δ /
Γ ν
⎟ ⎠
⎜ ⎞
⎝
− ⎛
= . R T
D Q log D
log 1
3
0
2
Temperature Dependence of Diffusion
=
0exp −
IDB B
D D Q
RT
Therefore, from the slope of the D-curve in an log D vs 1/T coordinate, the activation energy may be found.
How to determine QID experimentally?
Contents for today’s class
• Steady-state diffustion – Fick’s First Law
• Nonsteady-state diffusion – Fick’s Second Law
• Solutions to the diffusion Equations
Steady-state diffusion
The simplest type of diffusion to deal with is when the concentration at every point does not change with time.
Steady-state diffusion
The simplest type of diffusion to deal with is when the concentration at every point does not change with time.
Nonsteady-state diffusion
In most practical situations steady-state conditions are not established, i.e. concentration varies with both distance and time, and Fick’s 1st law can no longer be used.
How do we know the variation of C
Bwith time?
→ Fick’s 2nd lawThe number of interstitial B atoms that diffuse into the slice across plane (1) in a small time interval dt :
→ J
1A dt Likewise : J
2A dt
Sine J2 < J1, the concentration of B within the slice will have increased by
( ) δ
δ δ
=
1−
2B
J J A t
C A x
Due to mass conservation
( J
1− J
2) A t δ = = ? δ C A x
Bδ
Nonsteady-state diffusion
B B
C J
t x
∂ ∂
∂ = − ∂
Fick’s Second Law
substituting Fick's 1st law gives⎟ ⎠
⎜ ⎞
⎝
⎛
∂
∂
∂
= ∂
∂
∂
x D C
x t
C
BB B
∂ ∂
∂ = ∂
2 2
B B
B
C C
t D x
x D C
J
B B∂
− ∂
=
If variation of D with concentration can be ignored,
x ? C
B∂ =
∂
2 2
∂ = ∂
∂ ∂
2 2
B B
B
C C
t D x
Fick’s Second Law
Concentration varies with time and position.
Note that is the curvature.
22
x CB
∂
∂
Diffusion
Solutions to the diffusion equations
Ex1. Homogenization
of sinusoidal varying composition
in the elimination of segregation in casting
τ : relaxation time
l : half wavelength
l C x
C = +
β
0sinπ
⎟ ⎠
⎜ ⎞
⎝ + ⎛ −
= τ
β π t
l C x
C
0sin exp
D l
2 2
τ = π
sin 2 x T
⎛ π ⎞
⎜ ⎟
⎝ ⎠
: the mean composition C
0 : the amplitude of the initial concentration profile β
Initial or Boundary Cond.?
at t=0
) 2 /
0
exp(
x l at
t =
−
= β τ
β
Rigorous solution of for
2 2
x D C t
C
∂
= ∂
∂
∂
( )
l C x
x
C ,0 = + β0sinπ
2 2
2 2 2
1 1
Let
λ
−
≡
=
=
=
dx X d X dt
dT DT
dx X DT d dt
X dT
XT C
x B
x A
X dx X
X d
λ λ
λ
sin cos
2 0
2 2
+ ′
= ′
= +
변수분리법이용
l C β sin π x X(x) ≡ +
0e Dt
T T
dt D T d
dt D dT T
2
0
2 2
ln 1
λ
λ λ
=
−
=
−
=
⎟⎠
⎜ ⎞
⎝ + ⎛ −
=
τ
β π t
l C x
C
0sin exp
( )
( )
D l
t n
n
n n
n n
Dt
l e C x
C
A B
C A
l C x
C t
x B
x A
A C
e x B
x A
C
2 2
2
/ 0
0 1
0
0 1
0
sin , 0 ,
;
sin 0
cos sin
sin cos
π λ
β π
β β π
λ λ
λ λ
−
∞
=
−
+
≡
∴
=
=
=
+
≡
→
=
+ +
=
∴
+
=
∴
∑
(An = 0 for all others)
Solutions to the diffusion equations
Ex2. Carburization of Steel
The aim of carburization is to increase the carbon concentration in the surface layers of a steel product in order to achiever a harder wear-resistant surface.
1. Holding the steel in CH4 and/or Co at an austenitic temperature.
2. By controlling gases the concentration of C at the surface of the steel can be maintained at a suitable constant value.
3. At te same time carbon continually diffuses from the surface into the steel.
Carburizing of steel
Boundary conditions
The error function solution:
( ) ( ) 0 , , t C
0C
C t
C
B
s B
=
∞
=
( )
( )
Ζ =∫
Ζ −⎟⎠
⎜ ⎞
⎝
− ⎛
−
=
0 0
2 2
2 dy e
erf
Dt erf x
C C
C C
y s
s
π
Depth of Carburization?
• Since erf(0.5)
≈0.5 the depth at which the carbon concentration is midway between C
sand C
0is given
that is
( / 2 x Dt ) ≅ 0.5 x ≅ Dt
erf(0.5) ≈ 0.5
⎟ ⎠
⎜ ⎞
⎝
= ⎛
−
−
Dt erf x
C C
C C
s s
0
2
0
2 C
sC C = +
→ Depth of Carburization
Carburizing of steel
⎟ ⎠
⎜ ⎞
⎝
= ⎛
Dt erf x
C
C
02
≅ Dt Dt
Thus the thickness of the carburized layer is . Note also that the depth of any isoconcentration line is
directly proportion to , i.e. to obtain a twofold increase in penetration requires a fourfold increase in time.
Decarburization of Steel?
Error function
In mathematics, the error function (also called the Gauss error
function) is a non-elementary function which occurs in probability, statistics and partial differential equations.
It is defined as:
By expanding the right-hand side in a Taylor series and integrating, one can express it in the form
for every real number x. (
From Wikipedia, the free encyclopedia)
Error function = − π ∫OZ 2
erf(z) 2 exp( y )dy
= = −∞ < <
= = < < ∞
= = −∞ < < ∞
= = ∞ < < ∞
1 2 1 2
0, 0
0, 0 , 0 , 0
C C t x
C C t x
C C x t
C C x t
Joining of two semi-infinite specimens of compositions C
1and C
2(C
1> C
2) Ex3. Diffusion Couple
Draw C vs. x with time t = 0 and t > 0. Boundary conditions?
Solutions to the diffusion equations
The section is completed with 4 example solutions to Fick's 2nd law:
carburisation, decarburisation, diffusion across a couple and homogenisation.
The solutions given are as follows:
Process Solution
Carburisation
CS = Surface concentration C0 = Initial bulk concentration
Decarburisation
C0 = Initial bulk concentration
Diffusion Couple
C1 = Concentration of steel 1 C2 = Concentration of steel 2
Homogenisation
Cmean = Mean concentration
b0 = Initial concentration amplitude l = half-wavelength of cells
t = relaxation time