Machining of Metal Matrix Composites
Contents
1 Mechanics and Modeling of Chip Formation
in Machining of MMC . 1
Yung C. Shin and Chinmaya Dandekar
2 Surface Integrity When Machining Metal Matrix Composites 51
Abdul B. Sadat
3 Machinability Aspects of Metal Matrix Composites 63
Antoniomaria Di Ilio and Alfonso Paoletti
4 Traditional Machining Processes of MMC 79
H. A. Kishawy, S. Kannan and G. Parker
5 Grinding of Metal Matrix Composites . 99
B. Anand Ronald, L. Vijayaraghavan and R. Krishnamurthy
6 Dry Cutting of SiC Particulates Reinforced Metal
Matrix Composite 119
Arnaud Kremer and Mohamed El Mansori
7 Computational Methods and Optimization in Machining
of Metal Matrix Composites . 143
V. N. Gaitonde, S. R. Karnik and J. Paulo Davim
Index .
J. Paulo Davim
Editor
Index
A
Abrasive, 105, 107
Acoustic emission, 109
Ant colony algorithm, 158
Artificial neural
networks, 150
ANN model, 152
C
Coatings, 128
Composites, 100
Computational, 143
methods, 143
optimization, 143
Conventional, 100
materials, 100
Cutting, 3, 7, 9, 13, 16, 33,
65, 73, 124
forces, 7, 16, 73, 124
speed, 3
temperatures, 9, 33
tool, 65
Chip, 1, 13, 24, 31, 74, 81,
107, 135
formation, 9, 13, 31, 74, 81
morphology, 107, 135
separation-criteria, 24
CVD tools, 121
D
Debonding, 31
Depth of cut, 4
Drilling, 91
Dry cutting, 119
Dust emission, 135
E
Environmental impact, 132
Edge acuity, 136
F
Feed, 3
FEM, 20
approaches, 20
formulations, 20
Fiber reinforced, 5, 16, 40
MMC, 5, 16, 40
Finite element, 20
modelling, 20
Friction, 25
G
Genetic algorithms, 157, 159
Grindability, 102
Grinding, 99–102, 105
force, 102
temperature, 105
wheel, 101
Grit, 104–107, 110
H
Heuristic search algorithms, 157
M
Machinability, 63, 64, 124, 143
Machining, 1, 5–7, 9, 20, 26, 40, 51, 79,
132, 147, 152, 156, 159
MMC, 1, 9, 26, 79
processes, 79
M (cont.)
Materials modelling, 21
Mathematical modelling, 144
Matrix material, 67
Mechanics, 1, 6
Metal Matrix composites (MMC), 1, 5, 63, 80,
91, 99, 101, 102, 119, 143, 147,
152, 156, 159
Milling, 94
Modelling, 1, 26, 33, 40, 88, 145, 150
approaches, 145
N
Nano-structured, 128
Numerical, 33, 89
modelling, 89
predictions, 33
O
Optical microscopy, 53
Optimization, 144, 153, 159
P
Particulate reinforced, 2, 26
MMC, 2, 26
Particle swarm
optimization, 158
PCD tools, 122
Plastic deformation, 57
R
Reinforcement, 4, 66, 103, 106, 110
material, 66
Residual stresses, 57, 71
RSM model, 145, 147
S
Scanning electron microscopy, 53
Shear plane, 132
SiC particulates, 119
Simulated annealing, 157
Size, 103, 106, 110
Subsurface, 33, 57, 69, 71
surface, 33, 51–53, 57, 59, 69–70, 86, 112, 114
damage, 33, 71
finish, 70, 112
integrity, 51–53, 69
roughness, 86
texture, 114
topography, 59
T
Taguchi robust design, 154, 156
Tool, 25, 28, 65, 81, 121, 124, 127, 128,
130, 135, 138
chip interface, 25, 135
life, 65, 81, 128, 130
material, 121
particle interaction, 28
performance, 127
wear, 65, 124
Tooling, 5
Turning, 80, 87
Tribological conditions, 135
U
Ultrasonic vibration, 87
W
Wear, 81, 127, 138
mechanisms, 81
resistance, 127, 138
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