Introduction to Software Engineering lecture notes

184
Basic materials science concepts Chapter – 1 Complied by: Dr. Indranil Lahiri Metallurgical and Materials Engineering and Center of Nanotechnology IIT Roorkee

description

Introduction to Software Engineering lecture notes

Transcript of Introduction to Software Engineering lecture notes

Page 1: Introduction to Software Engineering lecture notes

Basic materials science concepts

Chapter – 1

Complied by:

Dr. Indranil Lahiri

Metallurgical and Materials Engineering and

Center of Nanotechnology

IIT Roorkee

Page 2: Introduction to Software Engineering lecture notes

Types of Materials• Metals:

– Strong, ductile

– High thermal & electrical conductivity

– Opaque, reflective.

• Polymers/plastics: Covalent bonding � sharing of e’s

– Soft, ductile, low strength, low density

– Thermal & electrical insulators

2

– Thermal & electrical insulators

– Optically translucent or transparent.

• Ceramics: ionic bonding (refractory) – compounds of metallic & non-metallic elements (oxides, carbides, nitrides, sulfides)

– Brittle, glassy, elastic

– Non-conducting (insulators)

Page 3: Introduction to Software Engineering lecture notes

1. Pick Application Determine required Properties

Properties: mechanical, electrical, thermal,

magnetic, optical, deteriorative.

2. Properties Identify candidate Material(s)

The Materials Selection Process

3

Processing: changes structure and overall shape

ex: casting, sintering, vapor deposition, doping

forming, joining, annealing.

Material: structure, composition.

3. Material Identify required Processing

Page 4: Introduction to Software Engineering lecture notes

ELECTRICAL• Electrical Resistivity of Copper:

Adapted from Fig. 18.8, Callister &

Rethwisch 8e. (Fig. 18.8 adapted from: J.O. Linde, Ann Physik 5, 219 (1932); and C.A. Wert and R.M. Thomson, Physics of Solids, 2nd edition, McGraw-Hill Company, New York, 1970.)

3

4

5

6

Resis

tivity,

ρ

Oh

m-m

)

4

• Adding “impurity” atoms to Cu increases resistivity.

• Deforming Cu increases resistivity.

T (ºC)-200 -100 0

1

2

3

Resis

tivity,

(10

-8O

hm

0

Page 5: Introduction to Software Engineering lecture notes

Chapter 1

PROPRIETARY MATERIAL. © 2007 The McGraw-Hill Companies, Inc. All rights reserved. No part of this PowerPoint slide may be displayed, reproduced or

distributed in any form or by any means, without the prior written permission of the publisher, or used beyond the limited distribution to teachers and educators

permitted by McGraw-Hill for their individual course preparation. If you are a student using this PowerPoint slide, you are using it without permission.

Elementary Materials

Science Concepts

Page 6: Introduction to Software Engineering lecture notes

The shell model of the atom in which electrons are confined to live within certain shells and in subshells within shells

Page 7: Introduction to Software Engineering lecture notes
Page 8: Introduction to Software Engineering lecture notes

Atoms in Excited State

Ionization Energy:

Smallest energy required to remove a single electron from a

neutral atom and thereby create a positive ion (cation) and an

isolated electron.

Electron Affinity:Electron Affinity:

Energy needed or released, when we add an electron to a neutral

atom to create a negative ion (anion).

Page 9: Introduction to Software Engineering lecture notes

Virial Theorem

Average kinetic energy is related to the average potential energy

KE = −1

2PE

Total Average Energy

E = PE + KE

Page 10: Introduction to Software Engineering lecture notes

The planetary model of the hydrogen atom in which the negatively charged

electron orbits the positively charged nucleus.

Important definitions to remember:Atomic mass

Atomic number

Avogadro’s number

Page 11: Introduction to Software Engineering lecture notes

(a) Force vs. interatomic separation

(b) Energy vs. interatomic separation

FN

= FA

+ FR

FN

= dE/dr

FN

= net force

FA

= attractive force

FR

= repulsive force

Page 12: Introduction to Software Engineering lecture notes

Net Force in Bonding Between Atoms

FN

= FA

+ FR

= 0

At equilibrium

r0

= Bond length

E0

= Bond energy

Page 13: Introduction to Software Engineering lecture notes

Formation of a covalent bond between two hydrogen atoms leads to the H2

molecule. Electrons spend majority of their time between the two nuclei

which results in a net attraction between the electrons and the two nuclei

which is the origin of the covalent bond.

Page 14: Introduction to Software Engineering lecture notes

(a) Covalent bonding in methane, CH4, involves four hydrogen atoms sharing

Bonds with one carbon atom. Each covalent bond has two shared electrons.

The four bonds are identical and repel each other.

(b) Schematic sketch of CH4 in paper.

(c) In three dimensions, due to symmetry, the bonds are directed towards the

Corners of a tetrahedron.

Page 15: Introduction to Software Engineering lecture notes

The diamond crystal is a covalently bonded network of carbon atoms. Each carbon

atom is covalently bonded to four neighbors forming a regular three dimensional

pattern of atoms which constitutes the diamond crystal.

Page 16: Introduction to Software Engineering lecture notes

Specific arrangement of atom in space -

Crystal

In metallic bonding the valence electrons from the metal atoms form a “cloud of

electrons” which fills the space between the metal ions and “glues” the ions together

through the coulombic attraction between the electron gas and the positive metal

ions.

Page 17: Introduction to Software Engineering lecture notes

The formation of ionic bond between Na and Cl atoms in NaCl. The attraction

Is due to coulombic forces.

Page 18: Introduction to Software Engineering lecture notes

(a) (b)

(a) A schematic illustration of a cross section from solid NaCl. NaCl is made of Cl-

and Na+ ions arranged alternatingly so that the oppositely charged ions are closest

to each other and attract each other. There are also repulsive forces between

the like ions. In equilibrium the net force acting on any ion is zero.

(b) Solid NaCl.

Page 19: Introduction to Software Engineering lecture notes

Sketch of the potential energy per ion-pair in solid NaCl. Zero energy

corresponds to neutral Na and Cl atoms infinitely separated.

Important definitions:

Atomic cohesive energy

Coordination number

Page 20: Introduction to Software Engineering lecture notes

Secondary Bonding

(a) A permanently polarized molecule is called an electric dipole moment.

(b) Dipoles can attract or repel each other depending on their relative

orientations.

(c) Suitably oriented dipoles can attract each other to form van der Walls bonds.

Page 21: Introduction to Software Engineering lecture notes

The origin of van der Walls bonding between water molecules.

(a) The H2O molecule is polar and has a net permanent dipole moment

(b) Attractions between the various dipole moments in water gives rise to

van der Walls bonding

Page 22: Introduction to Software Engineering lecture notes

F

dEdx

p A comb, immediately after combing hair

A dipole moment in a nonuniform field experiences a net force F that depends on the dipole moment p and the field gradient dE/dx.When a charged comb (by combing hair) is brought close to a water jet, the field from the comb attracts the polarized water molecules toward higher fields.[See Question 7.7 in Chapter 7]

Page 23: Introduction to Software Engineering lecture notes

Induced dipole-induced dipole interaction and the resulting van der Waals force

Page 24: Introduction to Software Engineering lecture notes

• Bonding:

-- Can be ionic and/or covalent in character.

--% ionic character increases with difference in electronegativity of atoms.

• Degree of ionic character may be large or small:

Mixed Bonding

CaF2: large

24

Adapted from Fig. 2.7, Callister & Rethwisch 8e. (Fig. 2.7 is adapted from Linus Pauling, The Nature of the

Chemical Bond, 3rd edition, Copyright 1939 and 1940, 3rd edition. Copyright 1960 by

Cornell University.)

SiC: small

Page 25: Introduction to Software Engineering lecture notes

Bond HybridizationBond Hybridization is possible when there is significant

covalent bonding

– hybrid electron orbitals form

– For example for SiC

• XSi = 1.8 and XC = 2.5

25

% ionic character = 100 {1- exp[-0.25(XSi − XC)2]} = 11.5%

• ~ 89% covalent bonding

• Both Si and C prefer sp3 hybridization

• Therefore, for SiC, Si tomas occupy tetrahedral sites

Page 26: Introduction to Software Engineering lecture notes
Page 27: Introduction to Software Engineering lecture notes

Definition of Elastic Modulus

σ = applied stress (force per unit area), Y = elastic modulus, ε =

elastic strain (fractional increase in the length of the solid)

σ = Yε

Elastic Modulus and BondingElastic Modulus and Bonding

oo rrorr

N

o dr

Ed

rdr

dF

rY

==

2

211

Y = elastic modulus, ro = interatomic equilibrium separation, FN = net

force, r = interatomic separation, E = bonding energy

Page 28: Introduction to Software Engineering lecture notes

(a) Applied forces F stretch the solid elastically from L0 to δL. The force is

divided amongst chains of atoms that make the solid. Each chain carries a

a force δFN.

(b) In equilibrium, the applied force is balanced by the net force δFN between

the atoms as a result of their increased separation.

Page 29: Introduction to Software Engineering lecture notes

Elastic Modulus and Bond Energy

Y = elastic modulus

Y ≈ fEbond

ro

3

f = numerical factor (constant) that depends on the type of

the crystal and the type of the bond

Ebond = bonding energy

ro = interatomic equilibrium separation

Page 30: Introduction to Software Engineering lecture notes

Kinetic Molecular Theory for Gases

PV =1

3Nmv

2

= gas pressureP = gas pressure

= mean square velocity

N = number of gas molecules

m = mass of the gas molecules

2v

Page 31: Introduction to Software Engineering lecture notes

N = number of molecules, R = gas constant, T = temperature,

P = gas pressure, V = volume, NA = Avogadro’s number

PV = (N/NA)RT

Ideal Gas Equation

Change in Momentum of a Molecule

∆p = 2mvx

∆p = change in momentum, m = mass of the molecule, vx = velocity

in the x direction

Page 32: Introduction to Software Engineering lecture notes

The gas molecules in the container are in random motion

Page 33: Introduction to Software Engineering lecture notes

Rate of Change of Momentum

F =∆p

∆t=

2mvx

(2a / vx )=

mvx

2

a

F = force exerted by the molecule, ∆p = change in momentum, ∆t =

change in time, m = mass of the molecule, vx = velocity in the x

direction, a = side length of cubic containerdirection, a = side length of cubic container

Total Pressure Exerted by N Molecules

P =mNvx

2

V

P = total pressure, m = mass of the molecule, = mean square

velocity along x, V = volume of the cubic container

2

xv

Page 34: Introduction to Software Engineering lecture notes

Mean Square Velocity

Mean Velocity for a Molecule

Mean square velocities in the x, y, and z directions are the same

vx

2= vy

2= vz

2

Mean Velocity for a Molecule

v2

= vx

2+ vy

2+ vz

2= 3vx

2

Page 35: Introduction to Software Engineering lecture notes

Gas Pressure in the Kinetic Theory

P = gas pressure, N = number of molecules, m = mass of the gas

molecule, v = velocity, V = volume, ρ = density.

22

3

1 =

3 = v

V

vNmP ρ

molecule, v = velocity, V = volume, ρ = density.

Mean Kinetic Energy per Atom

k = Boltzmann constant, T = temperature

KE = 1

2mv

2 =

3

2kT

Page 36: Introduction to Software Engineering lecture notes

Internal Energy per Mole for a Monatomic Gas

Molar Heat Capacity at Constant Volume

U = total internal energy per mole, NA = Avogadro’s number, m =

mass of the gas molecule, k = Boltzmann constant, T = temperature

U = NA

1

2mv

2

=

3

2NAkT

Molar Heat Capacity at Constant Volume

Cm = dU

dT =

3

2NAk =

3

2R

Cm = heat capacity per mole at constant volume (J K-1 mole-1), U =

total internal energy per mole, R = gas constant

Page 37: Introduction to Software Engineering lecture notes

Possible translational and rotational motions of a diatomic molecule. Vibrational

motions are neglected.

Page 38: Introduction to Software Engineering lecture notes

(a) The ball and spring model of solids in which the springs represent the interatomic

bonds. Each ball (atom) is linked to its nearest neighbors by springs. Atomic

vibrations in a solid involve 3 dimensions.

(b) An atom vibrating about its equilibrium position stretches and compresses its

springs to the neighbors and has both kinetic and potential energy.

Page 39: Introduction to Software Engineering lecture notes

Internal Energy per Mole

U = NA61

2kT

= 3RT

U = total internal energy per mole, NA = Avogadro’s number, R = gas

constant, k = Boltzmann constant, T = temperature

Dulong-Petit Rule

Cm = Heat capacity per mole at constant volume (J K-1 mole-1)

Cm = dU

dT = 3R = 25 J K

-1 mol

-1

Page 40: Introduction to Software Engineering lecture notes

Thermal Expansion

The potential energy PE curve has a minimum when the atoms in the solid attain the

interatomic separation r = r0. Due to thermal energy, the atoms will be vibrating and

will have vibrational kinetic energy. At T = T1, the atoms will be vibrating in such a way

that the bond will be stretched and compressed by an amount corresponding to the KE of the

atoms. A pair of atoms will be vibrating between B and C. This average separation will be at

A and greater than r0.

Page 41: Introduction to Software Engineering lecture notes

Vibrations of atoms in the solid. We consider, for simplicity a pair of atom. Total energy

E = PE + KE and this is constant for a pair of vibrating atoms executing simple harmonic

Motion. At B and C KE is zero (atoms are stationary and about to reverse direction of

oscillation) and PE is maximum.

Page 42: Introduction to Software Engineering lecture notes

Definition of Thermal Expansion Coefficient

λ = thermal coefficient of linear expansion or thermal expansion

coefficient, Lo = original length, L = length at temperature T

T

L

Lo δ

δλ ⋅=

1

coefficient, Lo = original length, L = length at temperature T

Thermal Expansion

L = Lo[1+ λ (T − To )]

L = length at temperature T, Lo = length at temperature To

Page 43: Introduction to Software Engineering lecture notes

Dependence of the linear thermal expansion coefficient λ (K-1) on temperature T (K) on a

log-log plot. HDPE, high density polyethylene; PMMA, Polymethylmethacrylate (acrylic);

PC, polycarbonate; PET, polyethylene terepthalate (polyester); fused silica, SiO2; alumina,

Al2O3.

SOURCE: Data extracted from various sources including G.A. Slack and S.F. Bartram,

J. Appl. Phys., 46, 89, 1975.

Page 44: Introduction to Software Engineering lecture notes

Solid in equilibrium in air. During collisions between the gas and solid atoms, kinetic

energy is exchanged.

Page 45: Introduction to Software Engineering lecture notes

Fluctuations of a mass attached to a spring due to random bombardment of air molecules.

Page 46: Introduction to Software Engineering lecture notes

Root Mean Square Fluctuations of a Body

Attached to a Spring of Stiffness K

∆x( )rms =kT

K

K = spring constant, T = temperature, (∆x)rms = rms value of the

fluctuations of the mass about its equilibrium position.

rmsK

Page 47: Introduction to Software Engineering lecture notes

Random motion of conduction electrons in a conductor results in electrical noise.

Page 48: Introduction to Software Engineering lecture notes

Charging and discharging of a capacitor by a conductor due to the random thermal

motions of the conduction electrons.

Page 49: Introduction to Software Engineering lecture notes

Root Mean Square Noise Voltage Across a

Resistance

kTRBv 4rms =

R = resistance, B = bandwidth of the electrical system in which noise

is being measured, vrms = root mean square noise voltage, k =

Boltzmann constant, T = temperature

kTRBv 4rms =

Page 50: Introduction to Software Engineering lecture notes

Tilting a filing cabinet from state A to its edge in state A* requires an energy EA. After

reaching A*, the cabinet spontaneously drops to the stable position B. PE of state B is lower

than A and therefore state B is more stable than A.

Page 51: Introduction to Software Engineering lecture notes

Diffusion of an interstitial impurity atom in a crystal from one void to a

neighboring void. The impurity atom at position A must posses an energy EA to

push the host atoms away and move into the neighboring void at B.

Page 52: Introduction to Software Engineering lecture notes

Rate for a

Thermally Activated Process

ϑ = Avο exp(−EA/kT)

EA = UA* − UA

ϑ = frequency of jumps, A = a dimensionless constant that has only a

weak temperature dependence, vo = vibrational frequency, EA =

activation energy, k = Boltzmann constant, T = temperature, UA* =

potential energy at the activated state A*, UA = potential energy at

state A.

Page 53: Introduction to Software Engineering lecture notes

An impurity atom has four site choices for diffusion to a neighboring interstitial

interstitial vacancy. After N jumps, the impurity atom would have been displaced

from the original position at O.

Page 54: Introduction to Software Engineering lecture notes

Mean Square Displacement

L = “distance” diffused after time t, a = closest void to void

separation (jump distance), ϑ = frequency of jumps, t = time, D =

diffusion coefficient

L2 = a2ϑt = 2Dt

Diffusion coefficient is thermally activated

−==

kT

EDaD A

o exp2

21 ϑ

D = diffusion coefficient, DO = constant, EA = activation energy, k =

Boltzmann constant, T = temperature

Page 55: Introduction to Software Engineering lecture notes

Crystal Systems

• Most solids are crystalline with their atoms arranged in aregular manner.• Long-range order : the regularity can extend throughout thecrystal.• Short-range order : the regularity does not persist overappreciable distances. eg. amorphous materials such as glassand wax.and wax.• Liquids have short-range order, but lack long-range order.• Gases lack both long-range and short-range order

Ref: http://me.kaist.ac.kr/upload/course/MAE800C/chapter2-1.pdf

55Materials Science (Electrical and Electronic Materials)

Page 56: Introduction to Software Engineering lecture notes

Crystal Structures (Contd…)

• Five regular arrangements of lattice points that can occur in two dimensions.

(a) square; (b) primitive rectangular;

(c) centered rectangular; (d) hexagonal;

(e) oblique.(e) oblique.

56Materials Science (Electrical and Electronic Materials)

Page 57: Introduction to Software Engineering lecture notes

Unit cell

Lattice parameters: a, b, c, α, β and γ

57Materials Science (Electrical and Electronic Materials)

Page 58: Introduction to Software Engineering lecture notes

The seven crystal systems (unit cell geometries) and fourteen Bravais lattices.

Page 59: Introduction to Software Engineering lecture notes

Number of lattice points per cell

Where,

Ni = number of interior points,

Nf = number of points on faces,Nf = number of points on faces,Nc = number of points on corners.

59Materials Science (Electrical and Electronic Materials)

Page 60: Introduction to Software Engineering lecture notes

FCC

60Materials Science (Electrical and Electronic Materials)

Page 61: Introduction to Software Engineering lecture notes

61Materials Science (Electrical and Electronic Materials)

Page 62: Introduction to Software Engineering lecture notes

62Materials Science (Electrical and Electronic Materials)

Page 63: Introduction to Software Engineering lecture notes

BCC

63Materials Science (Electrical and Electronic Materials)

Page 64: Introduction to Software Engineering lecture notes

BCC

64Materials Science (Electrical and Electronic Materials)

Page 65: Introduction to Software Engineering lecture notes

HCP

65Materials Science (Electrical and Electronic Materials)

Page 66: Introduction to Software Engineering lecture notes

DC

66Materials Science (Electrical and Electronic Materials)

Page 67: Introduction to Software Engineering lecture notes

A C G H

D F I J

G

H

I

Jx

Z

Materials Science (Electrical and Electronic Materials)

67

Jx

Page 68: Introduction to Software Engineering lecture notes

ZnS

68Materials Science (Electrical and Electronic Materials)

Page 69: Introduction to Software Engineering lecture notes

SiO2

69Materials Science (Electrical and Electronic Materials)

Page 70: Introduction to Software Engineering lecture notes

Graphite

70Materials Science (Electrical and Electronic Materials)

Page 71: Introduction to Software Engineering lecture notes

C60

71Materials Science (Electrical and Electronic Materials)

Page 72: Introduction to Software Engineering lecture notes

Fig 1.43Three allotropes of carbon

Materials Science (Electrical and Electronic Materials)

Page 73: Introduction to Software Engineering lecture notes

CNT

73Materials Science (Electrical and Electronic Materials)

Page 74: Introduction to Software Engineering lecture notes

NaCl

74Materials Science (Electrical and Electronic Materials)

Page 75: Introduction to Software Engineering lecture notes

A possible reduced sphere unit cell for the NaCl (rock salt) crystal. An alternative

Unit cell may have Na+ and Cl- interchanged. Examples: AgCl, CaO, CsF, LiF, LiCl,

NaF, NaCl, KF, KCl, MgO.

Page 76: Introduction to Software Engineering lecture notes

NaCl or halite crystals are transparent

|SOURCE: Photo by SOK

Page 77: Introduction to Software Engineering lecture notes

A possible reduced sphere unit cell for the CsCl crystal. An alternative unit cell may have

Cs+ and Cl- interchanged. Examples: CsCl, CsBr, CsI, TlCl, TlBr, TlI.

Page 78: Introduction to Software Engineering lecture notes

Fig 1.40

Materials Science (Electrical and Electronic Materials)

Page 79: Introduction to Software Engineering lecture notes

Lattice directions- MI

The direction of any line in a lattice

may be described by first drawing a line through the origin parallel

to the given line and to the given line and then giving the coordinates of any point on the line

through the origin.

-smallest integer value

- Negative directions are shown by bars eg.

0,0,0

-79Materials Science (Electrical and

Electronic Materials)

Page 80: Introduction to Software Engineering lecture notes

Plane designation by Miller indices

-Miller indices are always cleared of fractions

- If a plane is parallel to a given axis, its fractional intercept on that

axis is taken as infinity, Miller index is zero

- If a plane cuts a negative axis, the corresponding index is negative and is written with a bar over it.and is written with a bar over it.

-Planes whose indices are the negatives of one another are parallel and lie on opposite sides of the origin, e.g., (210) and (2l0).

-- Planes belonging to the same family is denoted by curly bracket , {hkl}

80Materials Science (Electrical and Electronic Materials)

Page 81: Introduction to Software Engineering lecture notes

Fig 1.41

Labeling of crystal planes and typical examples in the cubic lattice

Materials Science (Electrical and Electronic Materials)

Page 82: Introduction to Software Engineering lecture notes

Miller indices of lattice planes

82Materials Science (Electrical and Electronic Materials)

Page 83: Introduction to Software Engineering lecture notes
Page 84: Introduction to Software Engineering lecture notes

Miller Index

84Materials Science (Electrical and Electronic Materials)

Page 85: Introduction to Software Engineering lecture notes

85Materials Science (Electrical and Electronic Materials)

Page 86: Introduction to Software Engineering lecture notes

The hexagonal unit cell :

Miller –Bravais indices of planes and directions

86Materials Science (Electrical and Electronic Materials)

Page 87: Introduction to Software Engineering lecture notes

Zone= zonal planes + zonal axis

-Zone axis and (hkl) the zonal plane

All shaded planes belong to the same zonei.e parallel to an axis called zone axsis

87Materials Science (Electrical and Electronic Materials)

Page 88: Introduction to Software Engineering lecture notes

Coordination number

Number of nearest neighbors of an atom in the crystal lattice

88Materials Science (Electrical and Electronic Materials)

Page 89: Introduction to Software Engineering lecture notes

• Rare due to poor packing (only Po has this structure)• Close-packed directions are cube edges.

• Coordination # = 6(# nearest neighbors)

SIMPLE CUBIC STRUCTURE (SC)SIMPLE CUBIC STRUCTURE (SC)

5(Courtesy P.M. Anderson) 89Materials Science (Electrical and

Electronic Materials)

Page 90: Introduction to Software Engineering lecture notes

APF = Volume of atoms in unit cell*

Volume of unit cell

*assume hard spheres

• APF for a simple cubic structure = 0.52

volume

ATOMIC PACKING FACTORATOMIC PACKING FACTOR

6

APF =

a3

4

3π (0.5a)31

atoms

unit cellatom

volume

unit cell

volumeclose-packed directions

a

R=0.5a

contains 8 x 1/8 = 1 atom/unit cell

Adapted from Fig. 3.19,Callister 6e.

90Materials Science (Electrical and Electronic Materials)

Page 91: Introduction to Software Engineering lecture notes

• Coordination # = 8

• Close packed directions are cube diagonals.

--Note: All atoms are identical; the center atom is shadeddifferently only for ease of viewing.

BODY CENTERED CUBIC STRUCTURE (BCC)BODY CENTERED CUBIC STRUCTURE (BCC)

7

Adapted from Fig. 3.2,Callister 6e.

(Courtesy P.M. Anderson)91Materials Science (Electrical and

Electronic Materials)

Page 92: Introduction to Software Engineering lecture notes

• APF for a body-centered cubic structure = 0.68

Close-packed directions: length = 4R = 3 a

Unit cell contains: 1 + 8 x 1/8

ATOMIC PACKING FACTOR: BCCATOMIC PACKING FACTOR: BCC

aR

8

1 + 8 x 1/8 = 2 atoms/unit cell

Adapted fromFig. 3.2,Callister 6e.

APF =

a3

4

3π ( 3a/4)32

atoms

unit cell atom

volume

unit cell

volume

92Materials Science (Electrical and Electronic Materials)

Page 93: Introduction to Software Engineering lecture notes

• Coordination # = 12Coordination # = 12Coordination # = 12Coordination # = 12

Adapted from Fig. 3.1(a),

• Close packed directions are face diagonals.

--Note: All atoms are identical; the face-centered atoms are shadeddifferently only for ease of viewing.

FACE CENTERED CUBIC STRUCTURE (FCC)FACE CENTERED CUBIC STRUCTURE (FCC)

9

Callister 6e.

(Courtesy P.M. Anderson)

93Materials Science (Electrical and Electronic Materials)

Page 94: Introduction to Software Engineering lecture notes

Unit cell contains: 6 x 1/2 + 8 x 1/8

• APF for a body-centered cubic structure = 0.74

Close-packed directions: length = 4R = 2 a

ATOMIC PACKING FACTOR: FCCATOMIC PACKING FACTOR: FCC

APF =

a3

4

3π ( 2a/4)34

atoms

unit cell atom

volume

unit cell

volume

6 x 1/2 + 8 x 1/8 = 4 atoms/unit cell

a

10

Adapted fromFig. 3.1(a),Callister 6e.

94Materials Science (Electrical and Electronic Materials)

Page 95: Introduction to Software Engineering lecture notes

ρ = nA

VcNA

# atoms/unit cell Atomic weight (g/mol)

Volume/unit cell

(cm3/unit cell)

Avogadro's number

(6.023 x 1023 atoms/mol)

THEORETICAL DENSITY, THEORETICAL DENSITY, ρρρρρρρρ

14

Example: Copper

Data from Table inside front cover of Callister (see next slide):

• crystal structure = FCC: 4 atoms/unit cell• atomic weight = 63.55 g/mol (1 amu = 1 g/mol)• atomic radius R = 0.128 nm (1 nm = 10 cm)-7

Vc = a3 ; For FCC, a = 4R/ 2 ; Vc = 4.75 x 10

-23cm3

Compare to actual: ρCu = 8.94 g/cm3

Result: theoretical ρCu = 8.89 g/cm3

95Materials Science (Electrical and Electronic Materials)

Page 96: Introduction to Software Engineering lecture notes

Element Aluminum Argon Barium Beryllium Boron Bromine Cadmium Calcium Carbon

Symbol Al Ar Ba Be B Br Cd Ca C

At. Weight (amu) 26.98 39.95 137.33 9.012 10.81 79.90 112.41 40.08 12.011

Atomic radius (nm) 0.143 ------ 0.217 0.114 ------ ------ 0.149 0.197 0.071

Density

(g/cm3) 2.71 ------ 3.5 1.85 2.34 ------ 8.65 1.55 2.25

Crystal Structure FCC ------ BCC HCP Rhomb ------ HCP FCC Hex

Adapted fromTable, "Charac-teristics ofSelectedElements",inside front

Characteristics of Selected Elements at 20C

15

Carbon Cesium Chlorine Chromium Cobalt Copper Flourine Gallium Germanium Gold Helium Hydrogen

C Cs Cl Cr Co Cu F Ga Ge Au He H

12.011 132.91 35.45 52.00 58.93 63.55 19.00 69.72 72.59 196.97 4.003 1.008

0.071 0.265 ------ 0.125 0.125 0.128 ------ 0.122 0.122 0.144 ------ ------

2.25 1.87 ------ 7.19 8.9 8.94 ------ 5.90 5.32 19.32 ------ ------

Hex BCC ------ BCC HCP FCC ------ Ortho. Dia. cubic FCC ------ ------

cover,Callister 6e.

96Materials Science (Electrical and Electronic Materials)

Page 97: Introduction to Software Engineering lecture notes

ρmetals ρceramics ρpolymers

(g/cm3)

Graphite/ Ceramics/ Semicond

Metals/ Alloys

Composites/ fibers

Polymers

20

30Based on data in Table B1, Callister *GFRE, CFRE, & AFRE are Glass, Carbon, & Aramid Fiber-Reinforced Epoxy composites (values based on 60% volume fraction of aligned fibers

in an epoxy matrix). 10

5

Steels Cu,Ni

Tin, Zinc

Silver, Mo

Tantalum Gold, W Platinum

Zirconia

Metals have...• close-packing(metallic bonding)

• large atomic mass

Ceramics have...• less dense packing

DENSITIES OF MATERIAL CLASSESDENSITIES OF MATERIAL CLASSES

16

ρ (g/cm

1

2

3

4

5

0.3

0.4 0.5

Magnesium

Aluminum

Titanium

Graphite

Silicon

Glass-soda Concrete

Si nitride Diamond Al oxide

HDPE, PS PP, LDPE

PC

PTFE

PET PVC Silicone

Wood

AFRE*

CFRE*

GFRE*

Glass fibers

Carbon fibers

Aramid fibers

• less dense packing(covalent bonding)

• often lighter elements

Polymers have...• poor packing(often amorphous)

• lighter elements (C,H,O)

Composites have...• intermediate values

Data from Table B1, Callister 6e.97Materials Science (Electrical and

Electronic Materials)

Page 98: Introduction to Software Engineering lecture notes

Physical Properties•Acoustical properties

•Atomic properties

Mechanical properties•Compressive strength

•Ductility

•Fatigue limit

•Flexural modulus

•Flexural strength

•Fracture toughness

•Hardness

•Poisson's ratio

•Shear modulus

Materials Science (Electrical and Electronic Materials)

98

•Atomic properties

•Chemical properties

•Electrical properties

•Environmental properties

•Magnetic properties

•Optical properties

•Density

•Shear modulus

•Shear strain

•Shear strength

•Softness

•Specific modulus

•Specific weight

•Tensile strength

•Yield strength

•Young's modulus

Page 99: Introduction to Software Engineering lecture notes

• Most engineering materials are polycrystals.

Adapted from Fig. K, color inset pages of Callister 6e.(Fig. K is courtesy of Paul E. Danielson, Teledyne Wah Chang Albany)

1 mm

POLYCRYSTALSPOLYCRYSTALS

18

• Nb-Hf-W plate with an electron beam weld.• Each "grain" is a single crystal.• If crystals are randomly oriented,

overall component properties are not directional.• Crystal sizes typ. range from 1 nm to 2 cm

(i.e., from a few to millions of atomic layers).

1 mm

99Materials Science (Electrical and Electronic Materials)

Page 100: Introduction to Software Engineering lecture notes

• Single Crystals

-Properties vary withdirection: anisotropic.

-Example: the modulusof elasticity (E) in BCC iron:

• Polycrystals

E (diagonal) = 273 GPa

E (edge) = 125 GPa

Data from Table 3.3, Callister 6e.(Source of data is R.W. Hertzberg, Deformation and Fracture Mechanics of Engineering Materials, 3rd ed., John Wiley and Sons, 1989.)

SINGLE VS POLYCRYSTALSSINGLE VS POLYCRYSTALS

19

• Polycrystals

-Properties may/may notvary with direction.-If grains are randomlyoriented: isotropic.(Epoly iron = 210 GPa)

-If grains are textured,anisotropic.

200 µm Adapted from Fig. 4.12(b), Callister 6e.(Fig. 4.12(b) is courtesy of L.C. Smith and C. Brady, the National Bureau of Standards, Washington, DC [now the National Institute of Standards and Technology, Gaithersburg, MD].)

100Materials Science (Electrical and Electronic Materials)

Page 101: Introduction to Software Engineering lecture notes

Crystal defects

1.Point defect-Vacancy, Impurity atoms ( substitutional and interstitial)Frankel and Schottky defect ( ionic solids & nonstochiometric)

2. Line defect-

101

Edge dislocation

Screw dislocation, Mixed dislocation

3. Surface defects-Grain boundariesTwin boundary Surfaces, stacking faultsInterphases

Materials Science (Electrical and Electronic Materials)

Page 102: Introduction to Software Engineering lecture notes

Equilibrium Concentration of Vacancies

nv = vacancy concentration

nv = N exp −Ev

kT

v

N = number of atoms per unit volume

Ev = vacancy formation energy

k = Boltzmann constant

T = temperature (K)

Page 103: Introduction to Software Engineering lecture notes

Generation of a vacancy by the diffusion of atom to the surface and the subsequent diffusion

of the vacancy into the bulk.

Page 104: Introduction to Software Engineering lecture notes

Point defects in the crystal structure. The regions around the point defect become distorted;

the lattice becomes strained.

Page 105: Introduction to Software Engineering lecture notes

Interstitial Sites

X on figure is called an octahedral site

The radius(aoct) of octahedral site is = 0.41421ao

where ao is the radius of the spheres.the spheres.

There are also smaller sites, called tetrahedral sites, labeled T

This is a smaller site since its radius aT= 0.2247ao

105Materials Science (Electrical and Electronic Materials)

Page 106: Introduction to Software Engineering lecture notes

Void types

106Materials Science (Electrical and Electronic Materials)

Page 107: Introduction to Software Engineering lecture notes

Point defects in ionic crystals

Page 108: Introduction to Software Engineering lecture notes

Non stochiometry

Conduction in ionic crystal

ZnO crystal containing extra Zn2+

Crystal is electronically neutral, (i.e. 2+ & 2- )

108

Zn2+

O2-

Materials Science (Electrical and Electronic Materials)

Page 109: Introduction to Software Engineering lecture notes

Stoichiometry and nonstoichiometry and the resulting crystal structure

Page 110: Introduction to Software Engineering lecture notes

Dislocation line and b are perpendicular to each other110Materials Science (Electrical and

Electronic Materials)

Page 111: Introduction to Software Engineering lecture notes

Movement of edge dislocation

111Materials Science (Electrical and Electronic Materials)

Page 112: Introduction to Software Engineering lecture notes

112Materials Science (Electrical and Electronic Materials)

Page 113: Introduction to Software Engineering lecture notes

Dislocation line and b are parallel to each other

113Materials Science (Electrical and Electronic Materials)

Page 114: Introduction to Software Engineering lecture notes

Cause of slip

114Materials Science (Electrical and Electronic Materials)

Page 115: Introduction to Software Engineering lecture notes

Elastic stress field responsible for electron scattering andincrease in electrical resistivity

lattice strain around dislocation

115Materials Science (Electrical and Electronic Materials)

Page 116: Introduction to Software Engineering lecture notes

116Materials Science (Electrical and Electronic Materials)

Page 117: Introduction to Software Engineering lecture notes

The plane and directions for the dislocation movement

The closest packed plane and the closest packed direction of FCC

117Materials Science (Electrical and Electronic Materials)

Page 118: Introduction to Software Engineering lecture notes

By resolving, the contribution

from both types of

dislocations can bedetermined

118Materials Science (Electrical and Electronic Materials)

Page 119: Introduction to Software Engineering lecture notes

TEM

-dislocaions

119Materials Science (Electrical and Electronic Materials)

Page 120: Introduction to Software Engineering lecture notes
Page 121: Introduction to Software Engineering lecture notes
Page 122: Introduction to Software Engineering lecture notes

Solidification of a polycrystalline solid from the melt. (a) Nucleation. (b) Growth. (c) The

solidified polycrystalline solid. For simplicity cubes represent atoms.

Page 123: Introduction to Software Engineering lecture notes

3. Surface defects

123Materials Science (Electrical and Electronic Materials)

Page 124: Introduction to Software Engineering lecture notes

The grain boundaries have broken bonds, voids, vacancies, strained bonds and “interstitial”

type atoms. The structure of the grain boundary is disordered and the atoms in the grain

boundaries have higher energies than those within the grains.

Page 125: Introduction to Software Engineering lecture notes

At the surface of a hypothetical two dimensional crystal, the atoms cannot fulfill their

bonding requirements and therefore have broken, or dangling, bonds. Some of the surface

atoms bond with each other; the surface becomes reconstructed. The surface can have

physisorbed and chemisorbed atoms.

Page 126: Introduction to Software Engineering lecture notes

Typically a crystal surface has many types of imperfections such as steps, ledges, kinks,

cervices, holes and dislocations.

Page 127: Introduction to Software Engineering lecture notes

127Materials Science (Electrical and Electronic Materials)

Page 128: Introduction to Software Engineering lecture notes

Low angle GB

128Materials Science (Electrical and Electronic Materials)

Page 129: Introduction to Software Engineering lecture notes

129Materials Science (Electrical and Electronic Materials)

Page 130: Introduction to Software Engineering lecture notes

Stacking fault-occurs when there is a

flaw in the stacking

sequence

130Materials Science (Electrical and Electronic Materials)

Page 131: Introduction to Software Engineering lecture notes

Interfaces of phasesAl-Cu system

Coherent semi-coherent incoherent

131Materials Science (Electrical and Electronic Materials)

Page 132: Introduction to Software Engineering lecture notes

Definition of Phase:• A phase is a region of material that is chemically

uniform, physically distinct, and (often)mechanically separable.

• A phase is a physically separable part of thesystem with distinct physical and chemicalproperties.

• System - A system is that part of the universe• System - A system is that part of the universewhich is under consideration.

• In a system consisting of ice and water in aglass jar, the ice cubes are one phase, the wateris a second phase, and the humid air over thewater is a third phase. The glass of the jar isanother separate phase.

132Materials Science (Electrical and Electronic Materials)

Page 133: Introduction to Software Engineering lecture notes

Gibbs' phase rule proposed by Josiah Willard Gibbs

The phase rule is an expression of the number of variablesin equation(s) that can be used to describe a system in equilibrium.

Degrees of freedom, F

F = C − P + 2 F = C − P + 2

Where,Where,

P is the number of phases in thermodynamic equilibrium with each other

C is the number of components

133Materials Science (Electrical and Electronic Materials)

Page 134: Introduction to Software Engineering lecture notes

Phase rule at constant pressure Phase rule at constant pressure

• Condensed systems have no gas phase. When their properties are insensitive to the (small) changes in pressure, which results in the phase rule at constant pressure as,

F = C − P + 1

134Materials Science (Electrical and Electronic Materials)

Page 135: Introduction to Software Engineering lecture notes

Types of Phase diagram

1. Unary phase diagram

2. Binary phase diagrams

3. Ternary phase diagram

135

3. Ternary phase diagram

Materials Science (Electrical and Electronic Materials)

Page 136: Introduction to Software Engineering lecture notes

Unary phase diagram

Pre

ssu

re

Critical pressure Liquid

phase

Pre

ssu

re

Temperature

Solid Phase gaseous phase

136Materials Science (Electrical and Electronic Materials)

Page 137: Introduction to Software Engineering lecture notes

Binary phase diagrams

1. Binary isomorphous systems (complete solid solubility)

2. Binary eutectic systems (limited solid 2. Binary eutectic systems (limited solid solubility)

3. Binary systems with intermediate phases/compounds

137Materials Science (Electrical and Electronic Materials)

Page 138: Introduction to Software Engineering lecture notes

Solid solutions can be disordered substitutional, ordered substitutional and interstitial

substitutional

Page 139: Introduction to Software Engineering lecture notes

Binary phase diagram- isomorphous system

139Materials Science (Electrical and Electronic Materials)

Page 140: Introduction to Software Engineering lecture notes

The Lever RuleFinding the amounts of phases in a two phase region:1. Locate composition and temperature in diagram2. In two phase region draw the tie line or isotherm3. Fraction of a phase is determined by taking the length of the

tie line to the phase boundary for the other phase, anddividing by the total length of tie line

The lever rule is a mechanical analogy to the mass balancecalculation. The tie line in the two-phase region is analogous tocalculation. The tie line in the two-phase region is analogous toa lever balanced on a fulcrum.

140Materials Science (Electrical and Electronic Materials)

Page 141: Introduction to Software Engineering lecture notes

microstrucures

141Materials Science (Electrical and Electronic Materials)

Page 142: Introduction to Software Engineering lecture notes

Solidification of an isomorphous

alloy such as Cu-Ni.

(a) Typical cooling curves

(b) The phase diagram marking the

regions of existence for the

phases

Page 143: Introduction to Software Engineering lecture notes

Cooling of a 80%Cu-20%Ni alloy from the melt to the solid state.

Page 144: Introduction to Software Engineering lecture notes

Segregation in a grain due to rapid cooling (nonequilibrium cooling)

Page 145: Introduction to Software Engineering lecture notes

Lever Rule

WL =CS − CO

CS − CL

and

LS

LOS

CC

CCW

−=

WL = the weight fraction of the liquid phase, WS = the weight fraction

of the solid phase, CS = composition of the solid phase, CL =

composition of the liquid phase, CO = overall composition.

S L

Page 146: Introduction to Software Engineering lecture notes

The phase diagram of Si with impurities near the low-concentration region

Page 147: Introduction to Software Engineering lecture notes

The principle of zone refining

Page 148: Introduction to Software Engineering lecture notes

We can only dissolve so much salt in brine (solution of salt in water).

Eventually we reach the solubility limit at Xs, which depends on the temperature. If

we add more salt, then the excess salt does not dissolve and coexists with the brine. Past

Xs we have two phases, brine (solution) and salt (solid).

Page 149: Introduction to Software Engineering lecture notes

Binary phase diagram

–2. limited solubility

• A phase diagram for a

binary system

displaying an eutectic

point.

149Materials Science (Electrical and Electronic Materials)

Page 150: Introduction to Software Engineering lecture notes

The equilibrium phase diagram of the Pb-Sn alloy. The microstructure on the left show

the observations at various points during the cooling of a 90% Pb-10% Sn from the melt

along the dashed line (the overall alloy composition remains constant at 10% Sn).

Page 151: Introduction to Software Engineering lecture notes

The alloy with the eutectic composition cools like a pure element exhibiting a single

solidification temperature at 183°C. The solid has the special eutectic structure. The alloy with

the composition 60%Pb-40%Sn when solidified is a mixture of primary a and eutectic solid.

Page 152: Introduction to Software Engineering lecture notes

Cu-Ag system

152Materials Science (Electrical and Electronic Materials)

Page 153: Introduction to Software Engineering lecture notes

Sn-Bi system

153Materials Science (Electrical and Electronic Materials)

Page 154: Introduction to Software Engineering lecture notes

Pb-Sn system

154

Page 155: Introduction to Software Engineering lecture notes

Pb-Sn system

155Materials Science (Electrical and Electronic Materials)

Page 156: Introduction to Software Engineering lecture notes

Pb-Sn system

Mechanism

of growth

156Materials Science (Electrical and Electronic Materials)

Page 157: Introduction to Software Engineering lecture notes

Cu- Zn system

157Materials Science (Electrical and Electronic Materials)

Page 158: Introduction to Software Engineering lecture notes

Ternary phase diagrams

MgO-Al2O3-SiO2 system at 1 atm. pressure Fe-Ni-Cr ternary alloy system

158Materials Science (Electrical and Electronic Materials)

Page 159: Introduction to Software Engineering lecture notes

Single crystal

A single crystal solid is a material in which the crystal lattice of the entire sample is continuous

no grain boundaries- grain boundaries can no grain boundaries- grain boundaries can have significant effects on the physical and electrical properties of a material

single crystals are of interest to electric device applications

159Materials Science (Electrical and Electronic Materials)

Page 160: Introduction to Software Engineering lecture notes

(a) Schematic illustration of the growth of a single-crystal Si ingot by the Czochralski technique.

(b) The crystallographic orientation of the silicon ingot is marked by grounding a flat. The ingot can

be as long as 2m. Wafers are cut using a rotating annula diamond saw. Typical wafer thickness is

0.6-0.7 mm.

Page 161: Introduction to Software Engineering lecture notes
Page 162: Introduction to Software Engineering lecture notes

Silicon

A silicon ingot is a single crystal of Si. Within the bulk of the crystal, the atoms are

arranged on a well-defined periodical lattice. The crystal structure is that of

diamond.

|Courtesy of MEMC, Electronic Materials Inc.

Page 163: Introduction to Software Engineering lecture notes

Left: Silicon crystal ingots grown by the Czochralski crystal drawers in the background

|Courtesy of MEMC, Electronic Materials Inc.

Right: 200 mm and 300 mm Si

|Courtesy of MEMC, Electronic Materials Inc.

Page 164: Introduction to Software Engineering lecture notes

Crystalline and amorphous structures illustrated schematically in two dimensions

Page 165: Introduction to Software Engineering lecture notes

Silicon can be grown as a semiconductor crystal or as an amorphous semiconductor film.

Each line represents an electron in a band. A full covalent bond has two lines, and a

broken bond has one line.

Page 166: Introduction to Software Engineering lecture notes

It is possible to rapidly quench a molten metallic alloy,

thereby bypassing crystallization, and forming a glassy

metal commonly called a metallic glass. The process is

called melt spinning.

Page 167: Introduction to Software Engineering lecture notes

Amorphous silicon, a-Si, can be prepared by an electron beam evaporation of

silicon. Silicon has a high melting temperature so that an energetic electron beam is

used to melt the crystal in the crucible locally and thereby vaporize Si atoms. Si

atoms condense on a substrate placed above the crucible to form a film of a-Si.

Page 168: Introduction to Software Engineering lecture notes

Hydrogenated amorphous silicon, a-Si:H, is generally prepared by the decomposition of

silane molecules in a radio frequency (RF) plasma discharge. Si and H atoms condense on a

substrate to form a film of a-Si:H

Page 169: Introduction to Software Engineering lecture notes
Page 170: Introduction to Software Engineering lecture notes

Doping

� Minute addition of elements in a controlled way to the matrix is called doping.

� During Bulk crystal growth dopants can be added� An epitaxial layer can be doped during deposition

by adding impurities to the source gas, such as arsine, phosphine or diborane. The concentration

170

arsine, phosphine or diborane. The concentration of impurity in the gas phase determines its concentration in the deposited film.

� Doping can be done by diffusion, allowing the dopants to diffuse at elevated temperature.

� Ion implantation- bombarding the dopants at high speed

Materials Science (Electrical and Electronic Materials)

Page 171: Introduction to Software Engineering lecture notes

Thin films: Epitaxial growth

�Epitaxy, The term epitaxy comes from the Greek roots,epi, meaning "above“ taxis, meaning "in ordered manner“

� Epitaxial growth refers to the method of depositing a

171

� Epitaxial growth refers to the method of depositing a monocrystalline film on a monocrystalline substrate.

� The deposited film is denoted as epitaxial film or epitaxial layer.

Materials Science (Electrical and Electronic Materials)

Page 172: Introduction to Software Engineering lecture notes

Applications

Epitaxy is used in nanotechnology and in semiconductorfabrication.

Semiconductor materials (technologically important) are,silicon-germanium, gallium nitride, gallium arsenide, indiumphosphide and graphene.

Epitaxy is also used to grow layers of pre-doped silicon on thepolished sides of silicon wafers, before they are processed into

172

polished sides of silicon wafers, before they are processed intosemiconductor devices. This is typical of power devices, such asthose used in pacemakers, vending machine controllers,automobile computers, etc.

Materials Science (Electrical and Electronic Materials)

Page 173: Introduction to Software Engineering lecture notes

Methods

1. vapor-phase epitaxy (VPE), a modification

of chemical vapour deposition.

2. Liquid-phase epitaxy (LPE)

3. Solid-phase epitaxy is used primarily for crystal-damage healing

173

4. Molecular-beam epitaxy (MBE)

Materials Science (Electrical and Electronic Materials)

Page 174: Introduction to Software Engineering lecture notes

1. vapor-phase epitaxy (VPE), a modification

of chemical vapour deposition

Silicon is most commonly deposited from

silicon tetrachloride in hydrogen at 1200 °C:

SiCl4(g)

+ 2H2(g)

↔ Si(s)

+ 4HCl(g)

174

SiCl4(g)

+ 2H2(g)

↔ Si(s)

+ 4HCl(g)

Growth rates above 2µm/minute to produce polycrystalline

silicon.

Materials Science (Electrical and Electronic Materials)

Page 175: Introduction to Software Engineering lecture notes

Hydrogenated amorphous silicon

� High-quality hydrogenated amorphous silicon films (a-Si:H) have been produced by decomposition of low-pressure silane gas on a very hot surface with deposition on a nearby, typically 210 °C substrate.

� A high-temperature tungsten filament provides the surface for heterogeneous thermal decomposition of the low-pressure silane

175

heterogeneous thermal decomposition of the low-pressure silaneand subsequent evaporation of atomic silicon and hydrogen.The silane reaction occurs at 650 °C :

SiH4 → Si + 2H2

� The substrates: flat, oxide-free, single-crystal silicon

Materials Science (Electrical and Electronic Materials)

Page 176: Introduction to Software Engineering lecture notes

2. Liquid-phase

From the melt containing dissolved semiconductor

on solid substrates.

The thermal expansion coefficient of substrate and grown

layer should be similar

Deposition rates for films range from 0.1 to 1 μm/minute.

Doping can be achieved by the addition of dopants.

176

Doping can be achieved by the addition of dopants.

Example :

ternary and quaternary III-V compounds on gallium arsenide

(GaAs) and indium phosphide (InP) substrates

.

Materials Science (Electrical and Electronic Materials)

Page 177: Introduction to Software Engineering lecture notes

3. Solid-phase

Solid Phase Epitaxy (SPE) is a transition between the

amorphous and crystalline phases of a material.

It is usually done by first depositing a film of amorphous

material on a crystalline substrate.

The substrate is then heated to crystallize the film.

177

The substrate is then heated to crystallize the film.

The single crystal substrate serves as a template for crystal

growth.

The annealing step used to recrystallize or heal silicon layers

amorphized during ion implantation is also considered one type

of Solid Phase Epitaxy.

Materials Science (Electrical and Electronic Materials)

Page 178: Introduction to Software Engineering lecture notes

4. Molecular-beam

In MBE, a source material is heated to produce an evaporated

beam of particles.

These particles travel through a very high vacuum (10-8 Pa;

practically free space) to the substrate, where they condense.

MBE has lower throughput than other forms of epitaxy.

178

MBE has lower throughput than other forms of epitaxy.

This technique is widely used for growing III-V semiconductor

crystals.

Materials Science (Electrical and Electronic Materials)

Page 179: Introduction to Software Engineering lecture notes

Lattice matching- essential condition for the epitaxial growth

� Matching of lattice structures between two different semiconductor

materials, allows a region of band gap change to be formed in a materialwithout introducing a change in crystal structure.

� It allows construction of advanced light-emitting diodes and diode lasers.

179

For example, gallium arsenide, aluminium gallium arsenide, and aluminium

arsenide have almost equal lattice constants, making it possible to growalmost arbitrarily thick layers of one on the other one.

Materials Science (Electrical and Electronic Materials)

Page 180: Introduction to Software Engineering lecture notes

The beginning of the grading layer will have a ratio to match the underlying lattice and the alloy at the end of the layer growth will match the desired final lattice.

For example, Indium gallium phosphide layers with a band-gap above 1.9 eV can be grown on Gallium

Lattice grading

180

band-gap above 1.9 eV can be grown on Gallium Arsenide wafers with index grading

Materials Science (Electrical and Electronic Materials)

Page 181: Introduction to Software Engineering lecture notes

Design of semiconducting compound materials

Ternary and quaternary compounds

Basic criteriaEg requirements

Application oriented

181

1. Design GaxAl(1-x)As for different device applications.

2. How can GaxIn(1-x)AsyP(1-y) compoundis designed for device applications?

3. What is graded semiconducting compound?

Materials Science (Electrical and Electronic Materials)

Page 182: Introduction to Software Engineering lecture notes

D

CC

Q.1: Give the Miller Indices of planes A,B & directions C,D.

4

Page 183: Introduction to Software Engineering lecture notes

Pb-Sn system

183

Draw the microstructure of the alloy at ‘B’. Give the weight fractions of the phase/s and concentration of Pb & Sn elements of each phase.

Page 184: Introduction to Software Engineering lecture notes

Q.3: Draw a neat sketch of DC unit cell.Calculate the Packing Factor of DC.

184