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M2794.001800 M A T E R I A L A N D M A N U F A C T U R I N G P R O C E S S E S
Chapter 4. Surfaces, Tribology,
Dimensions, Inspection & Quality
Sung-Hoon Ahn
School of Mechanical and Aerospace Engineering
Seoul National University
© Prof. Ahn, Sung-Hoon
Introduction
Surface properties affect
Friction and wear
Lubrication
Painting, coating, welding, soldering, adhesive bonding, corrosion
resistance
Crack initiation
Thermal and electrical conductivity
Tribology
Friction
Wear
Lubrication
2
© Prof. Ahn, Sung-Hoon
Surface structure
Oxide layer (hard, brittle, abrasive)
Iron: FeO, Fe3O4, Fe2O3
Aluminum: Al2O3
Copper: Cu2O, CuO
Stainless steel: CrO
Beilby layer: melting & surface flow → rapid quenching
Work-hardened layer: residual stress
3
© Prof. Ahn, Sung-Hoon
Surface texture
Flaw ( )/ defect ( ), lay ( ), roughness ( ), waviness ( )
4
© Prof. Ahn, Sung-Hoon
Surface roughness
Surface profilometers ( )
5
© Prof. Ahn, Sung-Hoon
Ra and Rq
Arithmetic mean value arithmetic ave. (AA)
center-line ave. (CLA)
Root-mean-square ave. (RMS)
Rough surface: Lower precision, short fatigue life, higher electrical & thermal contact
resistance, lower corrosion resistance, better painting & coating, lower cost
dxyl
ynn
yyyyR
ln
i
idcba
a
01
11
21
0
2
1
22222
11
dxyl
ynn
yyyyR
ln
i
idcba
q
6
© Prof. Ahn, Sung-Hoon
Atomic Force Microscope (AFM)
Force
Distance( d )
d
Tip
Sample
Force
Feedback Loop
Laser
Photodiode
Y
X
Z
Cantilever
Display
X-Y Scan Control
7
© Prof. Ahn, Sung-Hoon
AFM Tip
piezoresistor
region PZT regionTip
High doping region
Before PZT process After PZT process
8
© Prof. Ahn, Sung-Hoon
Adhesion theory of friction ( ) Intimate contact of asperities creates an adhesive bond
Friction coefficient ( )
Friction
hardness
A
A
N
F
r
r
577.03
2.03
3
2/) (
, )(
Y
Y
Y
Y
hardness
Ystressyieldsheark
kmfactorshearfriction i
9
© Prof. Ahn, Sung-Hoon
Measuring Friction
Ring compression test
4.0 09.0
)%(1310015
1315
5)39(4
10)1530(4
2222
mand
decreaseIDinchange
IDvolume
10
© Prof. Ahn, Sung-Hoon
Friction in Manufacturing11
© Prof. Ahn, Sung-Hoon
Wear (1)
Progressive loss of material from
a surface
Adhesive wear ( )
p
LWkV
3
ftinkW
VpL
inlbmmkgp
lbW
k
inV
2132560)200)(10(
)700,170)(001.0)(3(3
/700,170/120
200
)2.4 tablefrom(10
001.0
3
22
3
3
Archard wear law
12
© Prof. Ahn, Sung-Hoon
Wear (2)
Abrasive wear
Corrosive wear
Fatigue wear
13
© Prof. Ahn, Sung-Hoon
Lubrication
4 regimes of lubrication Geometric defects
14
© Prof. Ahn, Sung-Hoon
Surface Treatment
Shot peening, water-jet peening, laser peening
Case hardening(carburizing, carbonitriding, etc.)
Roller burnishing (surface rolling)
15
Shot peening Carburizing Roller burnishing
© Prof. Ahn, Sung-Hoon
Surface Treatment 16
Cladding (clad bonding)
Mechanical plating
Thermal spraying
Thermal spraying
Cladding
Mechanical plating
© Prof. Ahn, Sung-Hoon
Surface Treatment
Vapor deposition (CVD/PVD/ Ion implantation)
Electroplating/ electroless plating
Anodizing
17
Ion implantation Electroplating Anodizing
© Prof. Ahn, Sung-Hoon
Cold spray (1)
Schematic diagram
• High deposition rate at low temperature
• Accelerated powder particles are sprayed onto substrate.
• Fabrication type : constructive process
• Typical substrate materials : metal
18
© Prof. Ahn, Sung-Hoon
Cold spray (2)
Repair of damaged mold
1. Mold fabrication 3. Deposition of particles
2. Damaged mold 4. Machining mold surface
5. Repaired mold
19
© Prof. Ahn, Sung-Hoon
Nano particle deposition system (NPDS)
TiO2 coating on Stainless steel
Mn-Zn ferrite coating on Al 6061 with niddles
0.17mm
0.1mm0.46mm1.03mm
2.5 μm 250 nm
Schematic diagram
• High deposition rate at room temperature
• Aerosol with particles is accelerated by a gas
flow and sprayed onto substrate.
• Fabrication type : constructive process
• Typical substrate materials : metal, ceramic
20
© Prof. Ahn, Sung-Hoon
Measurement
Length: dial indicator, LVDT
Straightness : autocollimators
Flatness: interferometry
Roundness: total indicator reading (TIR), full indicator movement
Profile
Coordinate measuring machines (CMM) and layout machines
Gages
Microscopes
21
© Prof. Ahn, Sung-Hoon
Precision & Accuracy
Accuracy( )
degree of conformity of a
measure to a standard or a true
value(closeness to the true value,
δm)
Precision( )
the degree of refinement with
which an operation is performed
or a measurement stated(size of
standard deviation, σ)
Probability
density
ValueTrue value
δm
σ
22
© Prof. Ahn, Sung-Hoon
Precision & Accuracy – example
Accurate
Not precise
Accurate
Precise Precise
Not accurate
23
© Prof. Ahn, Sung-Hoon
Dimensional Tolerance24
© Prof. Ahn, Sung-Hoon
Quality Assurance
1
)()()()(
,
22
3
2
2
2
1
minmax
321
n
xxxxxxxx
xxRRange
n
xxxxx
n
n
RAxxLCL
RAxxUCL
x
x
2
2
3)(lmit controlLower
3)(lmit controlUpper
Normal (Gaussian) Distribution
Control Chart
Six sigma (3~4 ppm)
ISO 9000 (quality management &
quality assurance)
ISO 14000 (environmental
management)
25
© Prof. Ahn, Sung-Hoon
Control Chart
2
3R
4
d
R
RDLCL
RDUCLR
26
© Prof. Ahn, Sung-Hoon
Statistical Process Control (SPC)27
© Prof. Ahn, Sung-Hoon
Process Capability Indices
Minimum acceptable value for Cp is 1
Desirable value : 1 ~ 2
x
p
LSLUSLC
6
3USL-LSL ①
USL-LSL ②
USL-LSL ①
USL-LSL ②
Process Capability Index, Cp
Process Capability Index, Cpk
0.13
)( , min
mean process :
min
min
ZC
ZorZZ
LSLZ
USLZ
pk
LSLUSL
x
x
xLSL
x
xUSL
28
© Prof. Ahn, Sung-Hoon
Process Capability Indices - example
3
10
130100
6
10
130190
LSL
USL
Z
Z
LSL
130100
USL
190
σx=10
1.03
3
3
)3( , 6minmin
pkC
Z
29