MECH 340 Lecture, Fall 2009
American University of Beirut · Engineering Materials · 34 pages
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10-1
CHAPTER 10
PHASE TRANSFORMATIONS IN METALS
PROBLEM SOLUTIONS
The Kinetics of Phase Transformations
10.1 The two stages involved in the formation of particles of a new phase are nucleation and growth. The
nucleation process involves the formation of normally very small particles of the new phase(s) which are stable and
capable of continued growth. The growth stage is simply the increase in size of the new phase particles.
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10-16
10.10 For this problem, we are given, for the recrystallization of aluminum, two values of y and two
values of the corresponding times, and are asked to determine the fraction recrystallized after a total time of 116.8
min.
The first thing necessary is to set up two expressions of the form of Equation 10.17, and then to solve
simultaneously for the values of n and k. In order to expedite this process, we will rearrange and do some algebraic
manipulation of Equation 10.17. First of all, we rearrange as follows:
1 − y = exp −ktn
(
)
Now taking natural logarithms
ln (1 − y) = − ktn
Or
−ln (1 − y) = ktn
which may also be expressed as
ln
1
1 − y
⎛
⎝ ⎜
⎞
⎠ ⎟ = ktn
Now taking natural logarithms again, leads to
ln ln
1
1 − y
⎛
⎝
⎜
⎞
⎠
⎟
⎡
⎣
⎢
⎤
⎦
⎥ = ln k + n lnt
which is the form of the equation that we will now use. The two equations are thus
ln
ln
1
1 − 0.30
⎡
⎣ ⎢
⎤
⎦ ⎥
⎧
⎨
⎩
⎫
⎬
⎭
= ln k + n ln(95.2 min)
ln
ln
1
1 − 0.80
⎡
⎣ ⎢
⎤
⎦ ⎥
⎧
⎨
⎩
⎫
⎬
⎭
= ln k + n ln(126.6 min)
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10-17
Solving these two expressions simultaneously for n and k yields n = 5.286 and k = 1.239 x 10-11.
Now it becomes necessary to solve for y when t = 116.8 min. Application of Equation 10.17 leads to
y = 1 − exp −ktn
( )
= 1 − exp − (1.239 x 10-11)(116.8 min)5.286
[
]= 0.65
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10-18
10.11 This problem asks us to consider the percent recrystallized versus logarithm of time curves for
copper shown in Figure 10.11.
(a) The rates at the different temperatures are determined using Equation 10.18, which rates are tabulated
below:
Temperature (°C)
Rate (min)-1
135
0.105
119
4.4 x 10-2
113
2.9 x 10-2
102
1.25 x 10-2
88
4.2 x 10-3
43
3.8 x 10-5
(b) These data are plotted below.
The activation energy, Q, is related to the slope of the line drawn through the data points as
Q = −Slope (R)
where R is the gas constant. The slope of this line is equal to
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10-19
Slope = ∆ ln rate
∆ 1
T
⎛
⎝ ⎜
⎞
⎠ ⎟
= ln rate1 − ln rate2
1
T1
− 1
T2
Let us take 1/T1 = 0.0025 K-1 and 1/T2 = 0.0031 K-1; the corresponding ln rate values are ln rate1 = -2.6 and ln
rate2 = -9.4. Thus, using these values, the slope is equal to
Slope =
−2.6 − (−9.4)
0.0025 K-1 − 0.0031 K-1 = −1.133 x 104 K
And, finally the activation energy is
Q = − (Slope)(R) = −(−1.133 x 104 K-1)(8.31 J/mol- K)
= 94,150 J/mol
(c) At room temperature (20°C), 1/T = 1/(20 + 273 K) = 3.41 x 10-3 K-1. Extrapolation of the data in the
plot to this 1/T value gives
ln (rate) ≅ −12.8
which leads to
rate ≅ exp (−12.8) = 2.76 x 10-6 (min)-1
But since
rate =
1
t0.5
t0.5 =
1
rate =
1
2.76 x 10−6 (min)−1
= 3.62 x 105 min = 250 days
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10-20
10.12 In this problem we are asked to determine, from Figure 10.11, the values of the constants n and k
(Equation 10.17) for the recrystallization of copper at 119°C. One way to solve this problem is to take two values
of percent recrystallization (which is just 100y, Equation 10.17) and their corresponding time values, then set up
two simultaneous equations, from which n and k may be determined. In order to expedite this process, we will
rearrange and do some algebraic manipulation of Equation 10.17. First of all, we rearrange as follows:
1 − y = exp −ktn
(
)
Now taking natural logarithms
ln (1 − y) = − ktn
Or
−ln (1 − y) = ktn
which may also be expressed as
ln
1
1 − y
⎛
⎝ ⎜
⎞
⎠ ⎟ = ktn
Now taking natural logarithms again, leads to
ln ln
1
1 − y
⎛
⎝
⎜
⎞
⎠
⎟
⎡
⎣
⎢
⎤
⎦
⎥ = ln k + n lnt
which is the form of the equation that we will now use. From the 119°C curve of Figure 10.11, let us arbitrarily
choose two percent recrystallized values, 20% and 80% (i.e., y1 = 0.20 and y2 = 0.80). Their corresponding time
values are t1 = 16.1 min and t2 = 30.4 min (realizing that the time axis is scaled logarithmically). Thus, our two
simultaneous equations become
ln ln
1
1 − 0.2
⎛
⎝
⎜
⎞
⎠
⎟
⎡
⎣
⎢
⎤
⎦
⎥ = ln k + n ln (16.1)
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10-21
ln ln
1
1 − 0.8
⎛
⎝
⎜
⎞
⎠
⎟
⎡
⎣
⎢
⎤
⎦
⎥ = ln k + n ln (30.4)
from which we obtain the values n = 3.11 and k = 3.9 x 10-5.
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10-22
Metastable Versus Equilibrium States
10.13 Two limitations of the iron-iron carbide phase diagram are:
(1) The nonequilibrium martensite does not appear on the diagram; and
(2) The diagram provides no indication as to the time-temperature relationships for the formation of
pearlite, bainite, and spheroidite, all of which are composed of the equilibrium ferrite and cementite phases.
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10-23
10.14 (a) Superheating and supercooling correspond, respectively, to heating or cooling above or below a
phase transition temperature without the occurrence of the transformation.
(b) These phenomena occur because right at the phase transition temperature, the driving force is not
sufficient to cause the transformation to occur. The driving force is enhanced during superheating or supercooling.
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10-24
Isothermal Transformation Diagrams
10.15 We are called upon to consider the isothermal transformation of an iron-carbon alloy of eutectoid
composition.
(a) From Figure 10.22, a horizontal line at 675°C intersects the 50% and reaction completion curves at
about 80 and 300 seconds, respectively; these are the times asked for in the problem statement.
(b) The pearlite formed will be coarse pearlite. From Figure 10.30(a), the hardness of an alloy of
composition 0.76 wt% C that consists of coarse pearlite is about 205 HB (93 HRB).
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10-25
10.16 The microstructures of pearlite, bainite, and spheroidite all consist of α-ferrite and cementite phases.
For pearlite, the two phases exist as layers which alternate with one another. Bainite consists of very fine and
parallel needle-shaped particles of cementite that are surrounded an α-ferrite matrix. For spheroidite, the matrix is
ferrite, and the cementite phase is in the shape of sphere-shaped particles.
Bainite is harder and stronger than pearlite, which, in turn, is harder and stronger than spheroidite.
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10-26
10.17 The driving force for the formation of spheroidite is the net reduction in ferrite-cementite phase
boundary area.
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10-27
10.18 This problem asks us to determine the nature of the final microstructure of an iron-carbon alloy of
eutectoid composition, that has been subjected to various isothermal heat treatments. Figure 10.22 is used in these
determinations.
(a) 100% bainite
(b) 50% medium pearlite and 50% martensite
(c) 50% fine pearlite, 25% bainite, and 25% martensite
(d) 100% spheroidite
(e) 100% tempered martensite
(f) 100% coarse pearlite
(g) 100% fine pearlite
(h) 50% bainite and 50% martensite
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10-28
10.19 Below is shown the isothermal transformation diagram for a eutectoid iron-carbon alloy, with time-
temperature paths that will yield (a) 100% coarse pearlite; (b) 50% martensite and 50% austenite; and (c) 50%
coarse pearlite, 25% bainite, and 25% martensite.
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10-29
10.20 We are asked to determine which microconstituents are present in a 1.13 wt% C iron-carbon alloy
that has been subjected to various isothermal heat treatments. These microconstituents are as follows:
(a) Martensite
(b) Proeutectoid cementite and martensite
(c) Bainite
(d) Spheroidite
(e) Cementite, medium pearlite, bainite, and martensite
(f) Bainite and martensite
(g) Proeutectoid cementite, pearlite, and martensite
(h) Proeutectoid cementite and fine pearlite
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10-30
10.21 This problem asks us to determine the approximate percentages of the microconstituents that form
for five of the heat treatments described in Problem 10.20.
(a) 100% martensite
(c) 100% bainite
(d) 100% spheroidite
(f) 60% bainite and 40% martensite
(h) After holding for 7 s at 600°C, the specimen has completely transformed to proeutectoid cementite and
fine pearlite; no further reaction will occur at 450°C. Therefore, we can calculate the mass fractions using the
appropriate lever rule expressions, Equations 9.22 and 9.23, as follows:
WFe3C' = C1
' − 0.76
5.94
= 1.13 − 0.76
5.94
= 0.062 or 6.2%
Wp = 6.70 − C1'
5.94
= 6.70 − 1.13
5.94
= 0.938 or 93.8%
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10-31
10.22 Below is shown an isothermal transformation diagram for a 1.13 wt% C iron-carbon alloy, with
time-temperature paths that will produce (a) 6.2% proeutectoid cementite and 93.8% coarse pearlite; (b) 50% fine
pearlite and 50% bainite; (c) 100% martensite; and (d) 100% tempered martensite.
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10-32
Continuous Cooling Transformation Diagrams
10.23 We are called upon to name the microstructural products that form for specimens of an iron-carbon
alloy of eutectoid composition that are continuously cooled to room temperature at a variety of rates. Figure 10.27
is used in these determinations.
(a) At a rate of 1°C/s, coarse pearlite forms.
(b) At a rate of 20°C/s, fine pearlite forms.
(c) At a rate of 50°C/s, fine pearlite and martensite form.
(d) At a rate of 175ºC/s, martensite forms.
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10-33
10.24 Below is shown a continuous cooling transformation diagram for a 0.35 wt% C iron-carbon alloy,
with continuous cooling paths that will produce (a) fine pearlite and proeutectoid ferrite; (b) martensite; (c)
martensite and proeutectoid ferrite; (d) coarse pearlite and proeutectoid ferrite; and (e) martensite, fine pearlite,
and proeutectoid ferrite.
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10-34
10.25 Two important differences between continuous cooling transformation diagrams for plain carbon
and alloy steels are: (1) for an alloy steel, a bainite nose will be present, which nose will be absent for plain carbon
alloys; and (2) the pearlite-proeutectoid noses for plain carbon steel alloys are positioned at shorter times than for
the alloy steels.
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10-2
10.2 (a) This problem first asks that we rewrite the expression for the total free energy change for
nucleation (analogous to Equation 10.1) for the case of a cubic nucleus of edge length a. The volume of such a
cubic radius is a3, whereas the total surface area is 6a2 (since there are six faces each of which has an area of a2).
Thus, the expression for ∆G is as follows:
∆G = a3∆Gv + 6a2γ
Differentiation of this expression with respect to a is as
d ∆G
da
= d(a3∆Gv)
da
+ d(6a2γ)
da
= 3a2∆Gv + 12a γ
If we set this expression equal to zero as
3a2∆Gv + 12a γ = 0
and then solve for a (= a*), we have
a* = − 4γ
∆Gv
Substitution of this expression for a in the above expression for ∆G yields an equation for ∆G* as
∆G * = (a*)3∆Gv + 6(a*)2γ
= −
4γ
∆Gv
⎛
⎝
⎜ ⎜
⎞
⎠
⎟ ⎟
3
∆Gv + 6γ −
4γ
∆Gv
⎛
⎝
⎜ ⎜
⎞
⎠
⎟ ⎟
2
=
32γ3
(∆Gv)2
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10-3
(b) ∆Gv for a cube—i.e.,
(32)
γ3
(∆Gv)2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
—is greater that for a sphere—i.e.,
16 π
3
⎛
⎝ ⎜
⎞
⎠ ⎟
γ3
(∆Gv)2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
=
(16.8)
γ3
(∆Gv)2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
. The reason for this is that surface-to-volume ratio of a cube is greater than for a sphere.
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10-4
10.3 This problem states that ice homogeneously nucleates at –40°C, and that we are to calculate the
critical radius given the latent heat of fusion (–3.1 x 108 J/m3) and the surface free energy (25 x 10-3 J/m2).
Solution to this problem requires the utilization of Equation 10.6 as
r * = − 2 γTm
∆H f
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
1
Tm − T
⎛
⎝
⎜ ⎜
⎞
⎠
⎟ ⎟
= − (2)(25 x 10−3 J /m2)(273 K)
−3.1 x 108 J /m3
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
1
40 K
⎛
⎝
⎜
⎞
⎠
⎟
= 1.10 x 10−9 m = 1.10 nm
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10-5
10.4 (a) This portion of the problem asks that we compute r* and ∆G* for the homogeneous nucleation of
the solidification of Ni. First of all, Equation 10.6 is used to compute the critical radius. The melting temperature
for nickel, found inside the front cover is 1455°C; also values of ∆Hf (–2.53 x 109 J/m3) and γ (0.255 J/m2) are
given in the problem statement, and the supercooling value found in Table 10.1 is 319°C (or 319 K). Thus, from
Equation 10.6 we have
r * = − 2γTm
∆H f
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
1
Tm − T
⎛
⎝
⎜ ⎜
⎞
⎠
⎟ ⎟
= − (2)(0.255 J /m2)(1455 + 273 K)
−2.53 x 109 J /m3
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
1
319 K
⎛
⎝
⎜
⎞
⎠
⎟
= 1.09 x 10−9 m = 1.09 nm
For computation of the activation free energy, Equation 10.7 is employed. Thus
∆G * = 16 π γ3Tm
2
3∆H f
2
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
1
(Tm − T)2
= (16)(π)(0.255 J /m2)
3 (1455 + 273 K)2
(3)(−2.53 x 109 J /m3)
2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
1
(319 K)2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
= 1.27 x 10−18 J
(b) In order to compute the number of atoms in a nucleus of critical size (assuming a spherical nucleus of
radius r*), it is first necessary to determine the number of unit cells, which we then multiply by the number of atoms
per unit cell. The number of unit cells found in this critical nucleus is just the ratio of critical nucleus and unit cell
volumes. Inasmuch as nickel has the FCC crystal structure, its unit cell volume is just a3 where a is the unit cell
length (i.e., the lattice parameter); this value is 0.360 nm, as cited in the problem statement. Therefore, the number
of unit cells found in a radius of critical size is just
# unit cells /particle =
4
3 πr *3
a3
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10-6
=
4
3
⎛
⎝ ⎜ ⎞
⎠ ⎟ (π)(1.09 nm)3
(0.360 nm)3
= 116 unit cells
Inasmuch as 4 atoms are associated with each FCC unit cell, the total number of atoms per critical nucleus is just
(116 unit cells /critical nucleus)(4 atoms/unit cell) = 464 atoms/critical nucleus
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10-7
10.5 (a) For this part of the problem we are asked to calculate the critical radius for the solidification of
nickel (per Problem 10.4), for 200 K and 300 K degrees of supercooling, and assuming that the there are 106 nuclei
per meter cubed for homogeneous nucleation. In order to calculate the critical radii, we replace the Tm – T term in
Equation 10.6 by the degree of supercooling (denoted as ∆T) cited in the problem.
For 200 K supercooling,
r200
*
= − 2 γTm
∆H f
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
1
∆T
⎛
⎝ ⎜
⎞
⎠ ⎟
= − (2)(0.255 J /m2)(1455 + 273 K)
−2.53 x 10 9 J /m3
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
1
200 K
⎛
⎝
⎜
⎞
⎠
⎟
= 1.74 x 10-9 m = 1.74 nm
For 300 K supercooling,
r300
*
= − (2)(0.255 J /m2)(1455 + 273 K)
−2.53 x 10 9 J /m3
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
1
300 K
⎛
⎝
⎜
⎞
⎠
⎟
= 1.16 x 10-9 m = 1.16 nm
In order to compute the number of stable nuclei that exist at 200 K and 300 K degrees of supercooling, it
is necessary to use Equation 10.8. However, we must first determine the value of K1 in Equation 10.8, which in turn
requires that we calculate ∆G* at the homogeneous nucleation temperature using Equation 10.7; this was done in
Problem 10.4, and yielded a value of ∆G* = 1.27 x 10-18 J. Now for the computation of K1, using the value of n*
for at the homogenous nucleation temperature (106 nuclei/m3):
K1 =
n *
exp − ∆G *
kT
⎛
⎝ ⎜
⎞
⎠ ⎟
=
106 nuclei /m3
exp −
1.27 x 10−18 J
(1.38 × 10−23 J /atom− K)(1455 K − 319 K)
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
= 1.52 x 1041 nuclei/m3
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10-8
Now for 200 K supercooling, it is first necessary to recalculate the value ∆G* of using Equation 10.7, where, again,
the Tm – T term is replaced by the number of degrees of supercooling, denoted as ∆T, which in this case is 200 K.
Thus
∆G200
*
= 16 π γ3Tm
2
3∆H f
2
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
1
(∆T)2
= (16)(π)(0.255 J /m2)3 (1455 + 273 K)2
(3)(−2.53 x 109 J /m3)2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
1
(200 K)2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
= 3.24 x 10-18 J
And, from Equation 10.8, the value of n* is
n200
*
= K1 exp − ∆G200
*
kT
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
= (1.52 x 1041 nuclei /m3)exp −
3.24 x10−18 J
(1.38 x 10−23 J /atom− K)(1455 K − 200 K)
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
= 8.60 x 10-41 stable nuclei
Now, for 300 K supercooling the value of ∆G* is equal to
∆G300
*
= (16)(π)(0.255 J /m2)3 (1455 + 273 K)2
(3)(−2.53 x 109 J /m3)2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
1
(300 K)2
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
= 1.44 x 10-18 J
from which we compute the number of stable nuclei at 300 K of supercooling as
n300
*
= K1 exp − ∆G300
*
kT
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
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students enrolled in courses for which the textbook has been adopted. Any other reproduction or translation of this work beyond that permitted
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10-9
n* = (1.52 x 1041 nuclei /m3)exp −
1.44 x10−18 J
(1.38 x 10−23 J /atom− K) (1455 K − 300 K)
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
= 88 stable nuclei
(b) Relative to critical radius, r* for 300 K supercooling is slightly smaller that for 200 K (1.16 nm versus
1.74 nm). [From Problem 10.4, the value of r* at the homogeneous nucleation temperature (319 K) was 1.09 nm.]
More significant, however, are the values of n* at these two degrees of supercooling, which are dramatically
different—8.60 x 10-41 stable nuclei at ∆T = 200 K, versus 88 stable nuclei at ∆T = 300 K!
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students enrolled in courses for which the textbook has been adopted. Any other reproduction or translation of this work beyond that permitted
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10-10
10.6 This problem calls for us to compute the length of time required for a reaction to go to 90%
completion. It first becomes necessary to solve for the parameter k in Equation 10.17. It is first necessary to
manipulate this equation such that k is the dependent variable. We first rearrange Equation 10.17 as
exp(−ktn) = 1 − y
and then take natural logarithms of both sides:
− ktn = ln(1 − y)
Now solving for k gives
k = − ln (1 − y)
tn
And, from the problem statement, for y = 0.25 when t = 125 s and given that n = 1.5, the value of k is equal to
k = − ln (1 − 0.25)
(125 s)1.5
= 2.06 x 10-4
We now want to manipulate Equation 10.17 such that t is the dependent variable. The above equation may be
written in the form:
tn = − ln (1 − y)
k
And solving this expression for t leads to
t = − ln (1 − y)
k
⎡
⎣ ⎢
⎤
⎦ ⎥
1/n
Now, using this equation and the value of k determined above, the time to 90% transformation completion is equal
to
t = − ln (1 − 0.90)
2.06 x 10−4
⎡
⎣
⎢
⎢
⎤
⎦
⎥
⎥
1/1.5
= 500 s
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students enrolled in courses for which the textbook has been adopted. Any other reproduction or translation of this work beyond that permitted
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10-11
10.7 This problem asks that we compute the rate of some reaction given the values of n and k in Equation
10.17. Since the reaction rate is defined by Equation 10.18, it is first necessary to determine t0.5, or the time
necessary for the reaction to reach y = 0.5. We must first manipulate Equation 10.17 such that t is the dependent
variable. We first rearrange Equation 10.17 as
exp(−ktn) = 1 − y
and then take natural logarithms of both sides:
−ktn = ln(1 − y)
which my be rearranged so as to read
tn = − ln (1 − y)
k
Now, solving for t from this expression leads to
t = − ln (1 − y)
k
⎡
⎣ ⎢
⎤
⎦ ⎥
1/n
For t0.5 this equation takes the form
t0.5 = − ln (1 − 0.5)
k
⎡
⎣ ⎢
⎤
⎦ ⎥
1/n
And, incorporation of values for n