Optimization and Computational Fluid Dynamics - Department of ...

292 Index
heat exchanger, 222, 224, 227, 228
module, 222, 231, 234, 235, 258, 263
crossover, 18, 27, 35, 152, 155, 200, 206,
209, 243, 245, 246
Darwin, 24, 152, 200
degree of freedom, 5, 9, 11, 74, 232–234,
247, 250
Design of Experiment, 35, 164, 165, 182,
187, 238, 239, 249, 258
Direct Numerical Simulation, 22, 47, 48,
50, 51, 55, 268, 287
drag, 3, 121, 124, 125, 130, 139, 141, 143,
150, 192–196, 210
aerodynamic, 192
coefficient, 113, 119, 127, 193–196, 198,
199, 207, 208, 210, 211, 214
force, 192, 194
pressure, 194
viscous, 194
minimization, 81, 82, 137, 191, 195
minimum, 209
reduction, 119, 136, 141–143, 191, 195,
199–201, 204, 207, 209, 214
value, 209, 210
eddy viscosity, 49, 198
elite, 9, 26, 35, 37, 246
elitism, 200, 245, 246
entropy, 19, 79, 82, 91, 93, 103, 104
Euler equation, 3, 14, 86, 87, 97, 113, 117,
120, 121, 125, 126, 138, 140, 268
Euler flow model, 67
evolution strategy, 199–202, 205, 206, 221
fabricability check, 251–253
fiber orientation probability distribution,
273, 274
finite element, 147, 148, 157, 218, 277
finite volume, 31, 42, 93, 219, 235
fitness, 25, 154, 243, 253
-based selection, 24
assignment, 245
rank, 200
sharing, 245
space, 159
value, 24–26, 37, 242, 243
floating-point, 24, 27, 122, 123
friction
coefficient, 103, 104
factor, 217
losses, 180
Headbox Optimization Control Simulator,
273, 274, 276, 277
Hessian, 64, 66, 68, 76, 80, 83, 95, 96, 98
-based optimization, 98
matrix, 79, 82, 83, 94–99, 101, 104, 105
exact, 82, 94
symmetrical, 94
method, 82
individual, 24–27, 33–38, 54, 55, 152, 154,
155, 181, 200, 242, 243, 245, 248–250,
258
inviscid
adjoint solver, 125
case, 144
flow, 79, 81, 82, 86, 87, 104, 142
flux, 87
Jacobian, 63, 74–76, 120, 125
matrix, 40, 75, 87, 93, 97
k − ω model, 19, 46, 48, 50, 126
k − ε model, 197, 198, 208, 271, 275
laminar, 17–19, 21, 22, 38, 40, 42, 44, 47,
169, 218, 220, 222, 223, 228, 262, 271,
273
Large-Eddy Simulation, 22, 197
low solidity diffuser, 149, 172
Mach number, 21, 38–40, 98, 127, 169–171,
179, 180
distribution, 98, 100, 102, 103, 105, 158,
168–170, 180–182, 187
penalty, 158
machine direction, 273, 276
multi-objective Evolutionary Algorithm,
19, 21, 238, 243, 245
multi-objective Genetic Algorithm, 218,
245, 246, 248–251, 253, 258
multidisciplinary, 149
optimization, 81, 111, 113, 133, 147, 150,
156, 175, 176, 178, 219
problem, 133, 188, 278
multidisciplinary design optimization, 111,
113, 219
multigrid, 12, 40, 70, 72, 81, 126, 134
optimization, 61, 70, 71
multiphysical, 267, 278
mutation, 18, 27, 28, 152, 155, 200–202,
206, 209, 221, 238, 243, 245
Navier-Stokes, 67
equations, 3, 7, 12, 21, 40, 41, 79, 81, 82,
90, 99, 113, 125, 197, 223, 268, 275
depth-averaged, 269, 273–276
solver, 40, 125, 147, 170
non-dominated