This document discusses the iron-carbon phase diagram. It begins by outlining the intended learning outcomes, which are to revise phase diagrams, understand the iron-carbon phase diagram, and understand the effect of adding carbon to iron. It then provides background on the different forms of iron (α, γ, δ) and how they change with temperature. The main section describes the iron-carbon phase diagram, noting that steels contain less than 2.06% carbon while cast irons contain between 2.06-6.67% carbon. It shows the different phases on the diagram, including ferrite, austenite, cementite, and liquid.
Phase Behaviour and EoS Modelling of the Carbon Dioxide-Hydrogen System, Martin Trusler, Imperial College London. Presented at CO2 Properties and EoS for Pipeline Engineering, 11th November 2014
Master Thesis Total Oxidation Over Cu Based Catalystsalbotamor
The evolution in the oxidation state of Cu and Ce in a benchmark catalyst is studied
under different conditions: temperature programmed reduction with propane and hydrogen,
and isothermal reduction with propane and hydrogen.
Analytical methods used involve operando X-ray absorption spectroscopy (XAS) in
transmission mode at the Cu K edge and Ce LIII edge, as well as online mass spectrometry
(MS) at the outlet of the reactor.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Phase Behaviour and EoS Modelling of the Carbon Dioxide-Hydrogen System, Martin Trusler, Imperial College London. Presented at CO2 Properties and EoS for Pipeline Engineering, 11th November 2014
Master Thesis Total Oxidation Over Cu Based Catalystsalbotamor
The evolution in the oxidation state of Cu and Ce in a benchmark catalyst is studied
under different conditions: temperature programmed reduction with propane and hydrogen,
and isothermal reduction with propane and hydrogen.
Analytical methods used involve operando X-ray absorption spectroscopy (XAS) in
transmission mode at the Cu K edge and Ce LIII edge, as well as online mass spectrometry
(MS) at the outlet of the reactor.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
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Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
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An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
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HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
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5. 5
Iron-Carbon Phase Diagram
• Phase diagrams are graphical
representations of the phases present
in an alloy at different conditions of
temperature, pressure, or chemical
composition.
• Development and production of new alloys
based on application requirements.
• Development and control of appropriate
heat treatment
6. 6
Contents
• Introduction
• Phase Diagram Revision
•Solubility limits
•Binary systems
•Binary Eutectic systems
• Iron-Carbon Phase Diagram
7. 7
Solubility Limit
Solutions: solid solutions, single phase
Mixtures: more than one phase
Solubility Limit:
Max concentration for which only a single-phase solution
occurs.
Question: What is the solubility limit at 20°C?
Answer: 65 wt% sugar.
If Co < 65 wt% sugar: syrup
If Co > 65 wt% sugar: syrup + sugar.
65
Sucrose/Water Phase Diagram
Pure
Sugar
Temperature
(°C)
0 20 40 60 80 100
Co =Composition (wt% sugar)
L
(liquid solution
i.e., syrup)
Solubility
Limit L
(liquid)
+
S
(solid
sugar)
20
40
60
80
100
Pure
Water
Adapted from Fig. 9.1,
Callister 7e.
8. 8
Effect of T & Composition (Co)
• Changing T can change # of phases:
Adapted from
Fig. 9.1,
Callister 7e.
D (100°C,90)
2 phases
B (100°C,70)
1 phase
path A to B.
• Changing Co can change # of phases: path B to D.
A (20°C,70)
2 phases
70 80 100
60
40
20
0
Temperature
(°C)
Co =Composition (wt% sugar)
L
(liquid solution
i.e., syrup)
20
100
40
60
80
0
L
(liquid)
+
S
(solid
sugar)
water-
sugar
system
9. 9
Contents
• Introduction
• Phase Diagram Revision
•Solubility limits
•Binary systems
•Binary Eutectic systems
• Iron-Carbon Phase Diagram
10. 10
Phase Diagrams: Binary Systems
• Indicate phases as function of T, Co, and P.
-binary systems: just 2 components.
-independent variables: T and Co (P = 1 atm is almost always used).
• Phase Diagram for Cu-Ni system
Adapted from Fig. 9.3(a), Callister 7e.
(Fig. 9.3(a) is adapted from Phase
Diagrams of Binary Nickel Alloys, P. Nash
(Ed.), ASM International, Materials Park,
OH (1991).
• 2 phases:
L (liquid)
a (FCC solid solution)
• 3 phase fields:
L
L + a
a
wt% Ni
20 40 60 80 100
0
1000
1100
1200
1300
1400
1500
1600
T(°C)
L (liquid)
a
(FCC solid
solution)
11. 11
Phase Diagrams: Binary Systems
11
wt% Ni
20 40 60 80 100
0
1000
1100
1200
1300
1400
1500
1600
T(°C)
L (liquid)
a
(FCC solid
solution)
Cu-Ni
phase
diagram
• Rule 1: If we know T and Co, then we know:
--the # and types of phases present.
• Examples:
A(1100°C, 60):
1 phase: a
B(1250°C, 35):
2 phases: L + a
Adapted from Fig. 9.3(a), Callister 7e.
(Fig. 9.3(a) is adapted from Phase
Diagrams of Binary Nickel Alloys, P. Nash
(Ed.), ASM International, Materials Park,
OH, 1991).
B
(1250°C,35)
A(1100°C,60)
12. 12
Phase Diagrams: Binary Phases
wt% Ni
20
1200
1300
T(°C)
L (liquid)
a
(solid)
30 40 50
Cu-Ni
system
• Rule 2: If we know T and Co, then we know:
--the composition of each phase.
• Examples:
TA
A
35
Co
32
CL
At TA = 1320°C:
Only Liquid (L)
CL = Co ( = 35 wt% Ni)
At TB = 1250°C:
Both a and L
CL = Cliquidus ( = 32 wt% Ni here)
Ca = Csolidus ( = 43 wt% Ni here)
At TD = 1190°C:
Only Solid ( a)
Ca = Co ( = 35 wt% Ni)
Co = 35 wt% Ni
Adapted from Fig. 9.3(b), Callister 7e.
(Fig. 9.3(b) is adapted from Phase Diagrams
of Binary Nickel Alloys, P. Nash (Ed.), ASM
International, Materials Park, OH, 1991.)
B
TB
D
TD
tie line
4
Ca
3
13. 13
Phase Diagrams: Binary Systems
• Rule 3: If we know T and Co, then we know:
--the amount of each phase (given in wt%).
• Examples:
At TA: Only Liquid (L)
WL = 100 wt%, Wa = 0
At TD: Only Solid ( a)
WL = 0, Wa = 100 wt%
Co = 35 wt% Ni
Adapted from Fig. 9.3(b), Callister 7e.
(Fig. 9.3(b) is adapted from Phase Diagrams of
Binary Nickel Alloys, P. Nash (Ed.), ASM
International, Materials Park, OH, 1991.)
wt% Ni
20
1200
1300
T(°C)
L (liquid)
a
(solid)
30 40 50
Cu-Ni
system
TA
A
35
Co
32
CL
B
TB
D
TD
tie line
4
Ca
3
R S
At TB: Both a and L
%
73
32
43
35
43
wt
=
−
−
=
= 27 wt%
WL
= S
R +S
Wa
= R
R +S
14. 14
Phase Diagrams: Binary Systems
wt% Ni
20
1200
1300
30 40 50
110 0
L (liquid)
a
(solid)
T(°C)
A
35
Co
L: 35wt%Ni
Cu-Ni
system
• Phase diagram:
Cu-Ni system.
• System is:
--binary
i.e., 2 components:
Cu and Ni.
--isomorphous
i.e., complete
solubility of one
component in
another; a phase
field extends from
0 to 100 wt% Ni.
Adapted from Fig. 9.4,
Callister 7e.
• Consider
Co = 35 wt%Ni.
46
35
43
32
a: 43 wt% Ni
L: 32 wt% Ni
L: 24 wt% Ni
a: 36 wt% Ni
B
a: 46 wt% Ni
L: 35 wt% Ni
C
D
E
24 36
15. 15
Mechanical Properties: Cu-Ni System
• Effect of solid solution strengthening on:
--Tensile strength (TS) --Ductility (%EL)
--Peak as a function of Co --Min. as a function of Co
Adapted from Fig. 9.6(a), Callister 7e. Adapted from Fig. 9.6(b), Callister 7e.
Tensile
Strength
(MPa)
Composition, wt% Ni
Cu Ni
0 20 40 60 80 100
200
300
400
TS for
pure Ni
TS for pure Cu
Elongation
(%EL)
Composition, wt% Ni
Cu Ni
0 20 40 60 80 100
20
30
40
50
60
%EL for
pure Ni
%EL for pure Cu
16. 16
Contents
• Introduction
• Phase Diagram Revision
•Solubility limits
•Binary systems
•Binary Eutectic systems
• Iron-Carbon Phase Diagram
17. 17
Phase Diagrams: Binary-Eutectic Systems
: Min. melting TE
2 components
has a special composition
with a min. melting T.
Adapted from Fig. 9.7,
Callister 7e.
• Eutectic transition
L(CE) a(CaE) + (CE)
• 3 single phase regions
(L, a, )
• Limited solubility:
a: mostly Cu
: mostly Ag
• TE : No liquid below TE
• CE
composition
Ex.: Cu-Ag system
Cu-Ag
system
L (liquid)
a L + a
L+
a +
Co , wt% Ag
20 40 60 80 100
0
200
1200
T(°C)
400
600
800
1000
CE
TE 8.0 71.9 91.2
779°C
18. 18
Phase Diagrams: Binary-Eutectic Systems
L+a
L+
a +
200
T(°C)
18.3
C, wt% Sn
20 60 80 100
0
300
100
L (liquid)
a 183°C
61.9 97.8
• For a 40 wt% Sn-60 wt% Pb alloy at 150°C, find...
--the phases present:
Pb-Sn
system
a +
--compositions of phases:
CO = 40 wt% Sn
--the relative amount
of each phase:
150
40
Co
11
Ca
99
C
S
R
Ca = 11 wt% Sn
C = 99 wt% Sn
Wa=
C - CO
C - Ca
=
99 - 40
99 - 11
=
59
88
= 67 wt%
S
R+S
=
W =
CO - Ca
C - Ca
=
R
R+S
=
29
88
= 33 wt%
=
40 - 11
99 - 11
Adapted from Fig. 9.8,
Callister 7e.
EX: Pb-Sn Eutectic System (1)
19. 19
EX: Pb-Sn Eutectic System (2)
L+
a +
200
T(°C)
C, wt% Sn
20 60 80 100
0
300
100
L (liquid)
a
L+a
183°C
• For a 40 wt% Sn-60 wt% Pb alloy at 200°C, find...
--the phases present: Pb-Sn
system
Adapted from Fig. 9.8,
Callister 7e.
a + L
--compositions of phases:
CO = 40 wt% Sn
--the relative amount
of each phase:
Wa =
CL - CO
CL - Ca
=
46 - 40
46 - 17
=
6
29
= 21 wt%
WL =
CO - Ca
CL - Ca
=
23
29
= 79 wt%
40
Co
46
CL
17
Ca
220
S
R
Ca = 17 wt% Sn
CL = 46 wt% Sn
20. 20
Microstructures in Eutectic Systems
• Co = CE
• Result: Eutectic microstructure (lamellar structure)
--alternating layers (lamellae) of a and crystals.
Adapted from Fig. 9.13,
Callister 7e.
Adapted from Fig. 9.14, Callister 7e.
160m
Micrograph of Pb-Sn
eutectic
microstructure
Pb-Sn
system
L+
a +
200
T(°C)
C, wt% Sn
20 60 80 100
0
300
100
L
a
L+a
183°C
40
TE
18.3
a: 18.3 wt%Sn
97.8
: 97.8 wt% Sn
CE
61.9
L: Co wt% Sn
Microstructures in Eutectic Systems:
22. 22
Hypoeutectic & Hypereutectic
L+a
L+
a +
200
Co, wt% Sn
20 60 80 100
0
300
100
L
a
TE
40
(Pb-Sn
System)
Adapted from Fig. 9.8,
Callister 7e. (Fig. 9.8
adapted from Binary Phase
Diagrams, 2nd ed., Vol. 3,
T.B. Massalski (Editor-in-
Chief), ASM International,
Materials Park, OH, 1990.)
160 m
eutectic micro-constituent
hypereutectic: (illustration only)
Adapted from Fig. 9.17,
Callister 7e. (Illustration
only)
(Figs. 9.14 and 9.17
from Metals
Handbook, 9th ed.,
Vol. 9,
Metallography and
Microstructures,
American Society for
Metals, Materials
Park, OH, 1985.)
175 m
a
a
a
a
a
a
hypoeutectic: Co = 50 wt% Sn
T(°C)
61.9
eutectic
eutectic: Co =61.9wt% Sn
23. 23
Eutectoid & Peritectic
Adapted from
Fig. 9.21, Callister 7e.
Eutectoid transition +
Peritectic transition + L
• Eutectoid - solid phase in equation
with two solid phases
S2 S1+S3
• Peritectic - liquid + solid 1 → solid 2
S1 + L S2
• Eutectic - liquid in equilibrium with two solids
L a +
cool
heat
Cu-Zn Phase diagram
24. 24
Contents
• Introduction
• Phase Diagram Revision
•Solubility limits
•Binary systems
•Binary Eutectic systems
• Iron-Carbon Phase Diagram
26. 26
Iron-Carbon Phase Diagram
• Phase diagrams are graphical
representations of the phases
present in an alloy at different
conditions of temperature,
pressure, or chemical
composition.
• Development of new alloys based
on application requirements.
• Production of these alloys.
• Development and control of
appropriate heat treatment
27. 27
Iron Form
• α-iron → BCC crystal
• exists at The iron at room temperature to 912 ˚C
• body center cubic structure ( BCC)
• ductile but not very strong
• γ-iron → FCC crystal
• exists at temperature range 910°C to 1394°C
• face center cubic structure (FCC)
• soft and ductile
• δ-iron → BCC crystal
• exists at temperature range 1395°C to 1539°C
• body center cubic structure ( BCC)
• magnetic
27
28. 28
Iron-Carbon Diagram
• According to the carbon
percentage iron carbon
alloys can be classified
into steels and cast iron.
• Steels are iron-iron carbide
alloys with carbon content lower
than 2.06%.
• Cast iron forms with higher
carbon content up to 6.67%
carbon.
Cast Iron
Steel
29. 29
Iron-Carbon (Fe-C) Phase Diagram: Phases
Adapted from Fig. 9.24,Callister 7e.
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a+Fe3C
L+Fe3C
(Fe) Co, wt% C
1148°C
T(°C)
a 727°C = Teutectoid
α-ferrite
• Existing at low temperatures and low
carbon content, α-ferrite is a solid
solution of carbon in BCC Fe.
• This phase is stable at room temperature.
• This phase is magnetic below 768°C.
• It has a maximum carbon content of
0.022 % and it will transform to γ-
austenite at 912°C as shown in the graph.
30. 30
Iron-Carbon (Fe-C) Phase Diagram: Phases
Adapted from Fig. 9.24,Callister 7e.
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a+Fe3C
L+Fe3C
(Fe) Co, wt% C
1148°C
T(°C)
a 727°C = Teutectoid
γ-austenite
• This phase is a solid solution of
carbon in FCC Fe with a maximum
solubility of 2.14% C.
• On further heating, it converts into
BCC δ-ferrite at 1395°C.
• γ-austenite is unstable at
temperatures below eutectic
temperature (727°C) unless cooled
rapidly.
• This phase is non-magnetic.
31. 31
Iron-Carbon (Fe-C) Phase Diagram: Phases
Adapted from Fig. 9.24,Callister 7e.
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a+Fe3C
L+Fe3C
(Fe) Co, wt% C
1148°C
T(°C)
a 727°C = Teutectoid
δ-ferrite
• This phase has a similar structure as
that of α-ferrite but exists only at
high temperatures.
• The phase can be spotted at the top
left corner in the graph.
• It has a melting point of 1538°C.
32. 32
Iron-Carbon (Fe-C) Phase Diagram: Phases
Adapted from Fig. 9.24,Callister 7e.
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a+Fe3C
L+Fe3C
(Fe) Co, wt% C
1148°C
T(°C)
a 727°C = Teutectoid
Fe3C or cementite
• Cementite is a metastable
phase of this alloy with a fixed
composition of Fe3C.
• It decomposes extremely
slowly at room temperature
into iron and carbon (graphite).
• Cementite is hard and brittle
which makes it suitable for
strengthening steels.
33. 33
Iron-Carbon (Fe-C) Phase Diagram: Phases
Adapted from Fig. 9.24,Callister 7e.
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a+Fe3C
L+Fe3C
(Fe) Co, wt% C
1148°C
T(°C)
a 727°C = Teutectoid
Fe-C liquid solution
• Marked on the diagram as ‘L’,
it can be seen in the upper
region in the diagram.
• As the name suggests, it is a
liquid solution of carbon in
iron.
• As we know that δ-ferrite
melts at 1538°C, it is evident
that the melting temperature
of iron decreases with
increasing carbon content.
34. 34
Iron-Carbon (Fe-C) Phase Diagram: Eutectic and Eutectoid
• 2 important points
-Eutectoid (B):
a +Fe3C
-Eutectic (A):
L +Fe3C
Adapted from Fig. 9.24,Callister 7e.
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a+Fe3C
L+Fe3C
(Fe) Co, wt% C
1148°C
T(°C)
a 727°C = Teutectoid
A
S
R
4.30
Result: Pearlite =
alternating layers of
a and Fe3C phases
120 m
(Adapted from Fig. 9.27, Callister 7e.)
R S
0.76
C
eutectoid
B
Fe3C (cementite-hard)
a (ferrite-soft)
35. 35
Iron-Carbon (Fe-C) Phase Diagram: Eutectic and Eutectoid
Adapted from Fig. 9.24,Callister 7e.
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a+Fe3C
L+Fe3C
(Fe) Co, wt% C
1148°C
T(°C)
a 727°C = Teutectoid
R S
0.76
C
eutectoid
B
Fe3C (cementite-hard)
a (ferrite-soft)
Pearlite
•consists of alternate layers of
ferrite and cementite in the
proportion 87:13 by weight.
•Formed from austenite at
eutectoid temperature 727°C
upon slow cooling.
•Mechanically, pearlite has
properties intermediate to soft,
ductile ferrite and hard, brittle
cementite.
36. 36
Iron-Carbon (Fe-C) Phase Diagram: Hypoeutectoid Steel
Adapted from Figs. 9.24 and 9.29,Callister 7e. (Fig.
9.24 adapted from Binary Alloy Phase Diagrams, 2nd
ed., Vol. 1, T.B. Massalski (Ed.-in-Chief), ASM
International, Materials Park, OH, 1990.)
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a+Fe3C
L+Fe3C
(Fe) Co, wt% C
1148°C
T(°C)
a
727°C
(Fe-C
System)
C0
0.76
Adapted from Fig. 9.30,Callister 7e.
proeutectoid ferrite
pearlite
100 m
Hypoeutectoid
steel
R S
a
wa =S/(R+S)
wFe3
C
=(1-wa)
wpearlite = w
pearlite
r s
wa =s/(r+s)
w =(1- wa)
a
a
a
37. 37
Iron-Carbon (Fe-C) Phase Diagram: Hypereutectoid Steel
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+Fe3C
a +Fe3C
L+Fe3C
(Fe) Co, wt%C
1148°C
T(°C)
a
Adapted from Figs. 9.24 and 9.32,Callister 7e. (Fig.
9.24 adapted from Binary Alloy Phase Diagrams, 2nd
ed., Vol. 1, T.B. Massalski (Ed.-in-Chief), ASM
International, Materials Park, OH, 1990.)
(Fe-C
System)
0.76
Co
Adapted from Fig. 9.33,Callister 7e.
proeutectoid Fe3C
60 mHypereutectoid
steel
pearlite
R S
wa =S/(R+S)
wFe3C =(1-wa)
wpearlite = w
pearlite
s
r
wFe3C =r/(r+s)
w =(1-wFe3C)
Fe3C
38. 38
Mechanical Behavior of Fe-C Alloys
• Cementite is harder
phase and more brittle
than ferrite .
• increasing cementite
fraction therefore
makes harder, less
ductile material
39. 39
Alloying Steel with More Elements
• Teutectoid changes: • Ceutectoid changes:
Adapted from Fig. 9.34,Callister 7e. (Fig. 9.34
from Edgar C. Bain, Functions of the Alloying
Elements in Steel, American Society for Metals,
1939, p. 127.)
Adapted from Fig. 9.35,Callister 7e. (Fig. 9.35
from Edgar C. Bain, Functions of the Alloying
Elements in Steel, American Society for Metals,
1939, p. 127.)
T
Eutectoid
(°C)
wt. % of alloying elements
Ti
Ni
Mo
Si
W
Cr
Mn
wt. % of alloying elements
C
eutectoid
(wt%C)
Ni
Ti
Cr
Si
Mn
W
Mo
41. 41
41
Solved Example
For a 99.6 wt% Fe-0.40 wt% C at a temperature just below the
eutectoid, determine the following
a) composition of Fe3C and ferrite (a)
b) the amount of carbide (cementite) in grams that forms per 100 g of
steel
c) the amount of pearlite and proeutectoid ferrite (a)
43. 43
Solved Example
c. the amount of pearlite and proeutectoid ferrite (a)
note: amount of pearlite = amount of just above TE
Co = 0.40 wt% C
Ca = 0.022 wt% C
Cpearlite = C = 0.76 wt% C
+ a
=
Co −Ca
C −Ca
x 100 = 51.2 g
pearlite = 51.2 g
proeutectoid a = 48.8 g
Fe
3
C
(cementite)
1600
1400
1200
1000
800
600
400
0 1 2 3 4 5 6 6.7
L
(austenite)
+L
+ Fe3C
a+ Fe3C
L+Fe3C
Co, wt% C
1148°C
T(°C)
727°C
CO
R S
C
Ca