Optimization and computational fluid dynamics:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2008
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIV, 293 S. Ill., graph. Darst. |
| ISBN: | 9783540721529 9783540721536 |
Internformat
MARC
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| 245 | 1 | 0 | |a Optimization and computational fluid dynamics |c Dominique Thévenin ... ed. |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2008 | |
| 300 | |a XIV, 293 S. |b Ill., graph. Darst. | ||
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| 650 | 7 | |a Dinâmica dos fluídos |2 larpcal | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Fluid dynamics |x Mathematical models | |
| 650 | 4 | |a Mathematical optimization | |
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Datensatz im Suchindex
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| adam_text | DOMINIQUE THEVENIN * GABOR JANIGA EDITORS OPTIMIZATION AND COMPUTATIONAL
FLUID DYNAMICS 4Y SPRINGER CONTENTS PART I GENERALITIES AND METHODS 1
INTRODUCTION 3 DOMINIQUE THEVENIN REFERENCES 16 2 A FEW ILLUSTRATIVE
EXAMPLES OF CFD-BASED OPTIMIZATION . 17 GABOR JANIGA 2.1 INTRODUCTION 18
2.1.1 PURPOSE 18 2.1.2 HEAT EXCHANGER OPTIMIZATION (CASE A) 19 2.1.3
OPTIMIZATION COUPLED WITH CHEMICAL REACTIONS (CASE B) 21 2.1.4
DETERMINATION OF TURBULENCE MODEL PARAMETERS BASED ON OPTIMIZATION (CASE
C) 22 2.2 EVOLUTIONARY ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION 23
2.2.1 MULTI-OBJECTIVE OPTIMIZATION 23 2.2.2 THE CONCEPT OF PARETO
DOMINANCE 25 2.2.3 EVOLUTIONARY ALGORITHM FOR MULTI-OBJECTIVE PROBLEMS
26 2.3 THE OPTIMAL POSITION OF THE TUBES IN A HEAT EXCHANGER (CASE A)
28 2.3.1 TUBE BANK HEAT EXCHANGER 28 2.3.2 PROBLEM PARAMETERS. . . 29
2.3.3 OPAL (OPTIMIZATION ALGORITHMS) PACKAGE 29 2.3.4 EVALUATION OF THE
OBJECTIVES FOR CASE A 30 2.3.5 PARALLELIZATION /* 33 2.3.6 COMPUTATIONAL
RESULTS 34 2.4 MULTI-OBJECTIVE OPTIMIZATION OF A LAMINAR BURNER (CASE B)
38 CONTENTS 2.4.1 GOVERNING EQUATIONS 38 2.4.2 NUMERICAL SOLUTION 40
2.4.3 OPTIMIZATION OF THE LAMINAR BURNER 42 2.5 OPTIMIZATION OF THE
STANDARD K-U TURBULENCE MODEL PARAMETERS (CASE C) 46 2.5.1 GOVERNING
EQUATIONS 48 2.5.2 NUMERICAL RESULTS 50 2.6 CONCLUSIONS 52 REFERENCES 56
MATHEMATICAL ASPECTS OF CFD-BASED OPTIMIZATION 61 HANS GEORG BOCK AND
VOLKER SCHULZ 3.1 INTRODUCTION 62 3.2 SIMULTANEOUS MODEL-BASED
OPTIMIZATION 63 3.2.1 SEQUENTIAL QUADRATIC PROGRAMMING (SQP) 63 3.2.2
MODULAR SQP METHODS 65 3.2.3 MULTIPLE SET-POINT OPTIMIZATION 69 3.2.4
MULTIGRID OPTIMIZATION 70 3.3 UNSTEADY PROBLEMS 72 3.3.1 TIME-DOMAIN
DECOMPOSITION BY MULTIPLE SHOOTING 73 3.3.2 PARALLEL MULTIPLE SHOOTING
75 3.3.3 REAL-TIME OPTIMIZATION AND NONLINEAR MODEL PREDICTIVE CONTROL
75 3.3.4 SENSITIVITY DRIVEN MULTIPLE SHOOTING 76 REFERENCES 77 ADJOINT
METHODS FOR SHAPE OPTIMIZATION 79 KYRIAKOS C. GIANNAKOGLOU AND DIMITRIOS
I. PAPADIMITRIOU 4.1 INTRODUCTION 80 4.2 PRINCIPLES OF THE ADJOINT
APPROACH 83 4.2.1 THE DISCRETE ADJOINT APPROACH 83 4.2.2 THE CONTINUOUS
ADJOINT APPROACH 84 4.2.3 DIFFERENCES BETWEEN DISCRETE AND CONTINUOUS
ADJOINT 85 4.3 INVERSE DESIGN USING THE EULER EQUATIONS 86 4.4 INVERSE
DESIGN USING THE NAVIER-STOKES EQUATIONS 90 4.5 VISCOUS LOSSES
MINIMIZATION IN INTERNAL FLOWS 91 4.5.1 MINIMIZATION OF TOTAL PRESSURE
LOSSES 92 4.5.2 MINIMIZATION OF ENTROPY GENERATION 93 4.6 COMPUTATION OF
THE HESSIAN MATRIX 94 4.6.1 DISCRETE DIREOVADJOINT APPROACH FOR THE
HESSIAN... 95 4.6.2 CONTINUOUS DIRECT-ADJOINT APPROACH FOR THE HESSIAN
(INVERSE DESIGN) 96 4.7 APPLICATIONS 97 CONTENTS IX 4.7.1 GRADIENT AND
HESSIAN-BASED INVERSE DESIGN OF A 2D DUCT 97 4.7.2 LOSSES MINIMIZATION
OF A 2D COMPRESSOR CASCADE 99 4.8 CONCLUSIONS 104 REFERENCES 106 PART II
SPECIFIC APPLICATIONS OF CFD-BASED OPTIMIZATION TO ENGINEERING PROBLEMS
5 EFFICIENT DETERMINISTIC APPROACHES FOR AERODYNAMIC SHAPE OPTIMIZATION
ILL NICOLAS R. GAUGER 5.1 INTRODUCTION 112 5.2 PARAMETERIZATION BY
DEFORMATION 113 5.2.1 SURFACE DEFORMATION 114 5.2.2 GRID DEFORMATION 115
5.3 SENSITIVITY-BASED AERODYNAMIC SHAPE OPTIMIZATION 117 5.4 SENSITIVITY
COMPUTATIONS 119 5.4.1 FINITE DIFFERENCE METHOD 119 5.4.2 CONTINUOUS
ADJOINT FORMULATION 120 5.4.3 ALGORITHMIC DIFFERENTIATION (AD) 122 5.5
ADJOINT FLOW SOLVERS 124 5.5.1 CONTINUOUS ADJOINT FLOW SOLVERS 124 5.5.2
DISCRETE ADJOINT FLOW SOLVERS 125 5.6 AUTOMATIC DIFFERENTIATION APPLIED
TO AN ENTIRE DESIGN CHAIN 126 5.6.1 TEST CASE DEFINITION 127 5.6.2
FINITE DIFFERENCES 127 5.6.3 AUTOMATIC DIFFERENTIATION 132 5.7 ADJOINT
APPROCH FOR AERO-STRUCTURE COUPLING 133 5.7.1 ADJOINT FORMULATION FOR
AERO-STRUCTURE COUPLING 133 5.7.2 IMPLEMENTATION 140 5.7.3 VALIDATION
AND APPLICATION 141 5.8 ONE-SHOT METHODS J 142 REFERENCES 144 6
NUMERICAL OPTIMIZATION FOR ADVANCED TURBOMACHINERY DESIGN 147 RENE A.
VAN DEN BRAEMBUSSCHE 6.1 INTRODUCTION . /. 147 6.2 OPTIMIZATION METHODS
... F 150 6.2.1 SEARCH MECHANISMS 150 6.2.2 OBJECTIVE FUNCTION 156
CONTENTS 6.2.3 PARAMETERIZATION 159 6.3 TWO-LEVEL OPTIMIZATION 160 6.3.1
ARTIFICIAL NEURAL NETWORKS 162 6.3.2 DATABASE 164 6.4 SINGLE POINT
OPTIMIZATION OF TURBINE BLADE 166 6.4.1 2D BLADE GEOMETRY DEFINITION 166
6.4.2 PENALTY FOR NON-OPTIMUM MACH NUMBER DISTRIBUTION PMACH 168 6.4.3
DESIGN OF A TRANSONIC TURBINE BLADE 170 6.5 MULTIPOINT OPTIMIZATION OF A
LOW SOLIDITY DIFFUSER 172 6.6 MULTIDISCIPLINARY OPTIMIZATION 175 6.6.1
3D GEOMETRY DEFINITION 176 6.6.2 MULTIDISCIPLINARY OBJECTIVE FUNCTION
178 6.6.3 DESIGN CONDITIONS AND RESULTS 180 6.7 CONCLUSIONS 187
REFERENCES 188 CFD-BASED OPTIMIZATION FOR AUTOMOTIVE AERODYNAMICS .. 191
LAURENT DUMAS 7.1 INTRODUCING AUTOMOTIVE AERODYNAMICS 192 7.1.1 A MAJOR
CONCERN FOR CAR MANUFACTURERS 192 7.1.2 . EXPERIMENTS ON BLUFF BODIES
192 7.1.3 WAKE FLOW BEHIND A BLUFF BODY 193 7.1.4 DRAG VARIATION WITH
THE SLANT ANGLE 194 7.2 THE DRAG REDUCTION PROBLEM 195 7.2.1 DRAG
REDUCTION IN THE AUTOMOTIVE INDUSTRY 196 7.2.2 NUMERICAL MODELIZATION
197 7.3 FAST AND GLOBAL OPTIMIZATION METHODS 199 7.3.1 EVOLUTIONARY
ALGORITHMS 199 7.3.2 ADAPTIVE HYBRID METHODS (AHM) 201 7.3.3 GENETIC
ALGORITHMS WITH APPROXIMATED EVALUATIONS (AGA) 203 7.3.4 VALIDATION ON
ANALYTIC TEST FUNCTIONS 205 7.4 CAR DRAG REDUCTION WITH NUMERICAL
OPTIMIZATION 207 7.4.1 DESCRIPTION OF THE TEST CASE 207 7.4.2 DETAILS OF
THE NUMERICAL SIMULATION 207 7.4.3 NUMERICAL RESULTS 209 7.5 ANOTHER
POSSIBLE APPLICATION OF CFD-O: AIRPLANE ENGINES 212 7.5.1 GENERAL
DESCRIPTION OF THE OPTIMIZATION CASE 212 7.5.2 DETAILS OF THE
COMPUTATION 213 7.5.3 OBTAINED RESULTS/ 213 7.6 CONCLUSION ! 214
REFERENCES 214 CONTENTS XI 8 MULTI-OBJECTIVE OPTIMIZATION FOR PROBLEMS
INVOLVING CONVECTIVE HEAT TRANSFER 217 MARCO MANZAN, ENRICO NOBILE,
STEFANO PIERI AND FRANCESCO PINTO 8.1 INTRODUCTION -. 218 8.2 LITERATURE
REVIEW 219 8.3 PROBLEM STATEMENT 222 8.3.1 GOVERNING EQUATIONS 223 8.3.2
FLUID DYNAMIC BOUNDARY CONDITIONS 224 8.3.3 TEMPERATURE BOUNDARY
CONDITIONS 225 8.4 NUMERICAL METHODS 228 8.4.1 FLUID DYNAMIC ITERATIVE
SOLUTION 228 8.4.2 THERMAL FIELD ITERATIVE SOLUTION 229 8.5 GEOMETRY
PARAMETRIZATION 231 8.5.1 WAVY CHANNELS 231 8.5.2 CC MODULE 234 8.6
OPTIMIZATION METHODS 235 8.6.1 DESIGN OF EXPERIMENT 238 8.7 OPTIMIZATION
ALGORITHMS 239 8.7.1 GENETIC ALGORITHM 242 8.7.2 MULTI-OBJECTIVE
APPROACHES 243 8.7.3 MULTI-CRITERIA DECISION MAKING (MCDM) 246 8.7.4
OPTIMIZATION PROCESS 247 8.8 RESULTS AND DISCUSSION 249 8.8.1 LINEAR
PIECEWISE OPTIMIZATION 249 8.8.2 NURBS OPTIMIZATION 250 8.8.3 LINEAR
PIECEWISE VERSUS NURBS 255 8.8.4 THREE-DIMENSIONAL ANALYSIS 256 8.8.5 CC
MODULE 258 8.9 CONCLUDING REMARKS 262 REFERENCES 263 9 CFD-BASED
OPTIMIZATION FOR A COMPLETE INDUSTRIAL PROCESS: PAPERMAKING 267 JARI
HAMALAINEN, TAIJA HAMALAINEN, ELINA MADETOJA AND HENRI RUOTSALAINEN 9.1
INTRODUCTION J. 267 9.2 OPTIMAL SHAPE DESIGN OF THE TAPERED HEADER 269
9.3 OPTIMAL CONTROL OF THE FIBER;ORIENTATION IN THE SLICE CHANNEL 1 272
9.3.1 ON MODELING FIBER ORIENTATION 272 9.3.2 HOCS FIBER - A TROUBLE
SHOOTING TOOL 273 9.3.3 DEPTH-AVERAGED NAVIER-STOKES EQUATIONS 274 9.3.4
VALIDATION OF THE DEPTH-AVERAGED NAVIER-STOKES EQUATIONS 276 9.4
MULTI-OBJECTIVE OPTIMIZATION OF PAPERMAKING 278 XII CONTENTS 9.4.1
MULTI-OBJECTIVE OPTIMIZATION 279 9.4.2 MODELING AND OPTIMIZING THE
COMPLETE PAPERMAKING PROCESS 281 9.4.3 NUMERICAL EXAMPLES 284 9.5
TOWARDS DECISION SUPPORT SYSTEMS 286 9.6 CONCLUSIONS 287 REFERENCES 288
INDEX 291
|
| adam_txt |
DOMINIQUE THEVENIN * GABOR JANIGA EDITORS OPTIMIZATION AND COMPUTATIONAL
FLUID DYNAMICS 4Y SPRINGER CONTENTS PART I GENERALITIES AND METHODS 1
INTRODUCTION 3 DOMINIQUE THEVENIN REFERENCES 16 2 A FEW ILLUSTRATIVE
EXAMPLES OF CFD-BASED OPTIMIZATION . 17 GABOR JANIGA 2.1 INTRODUCTION 18
2.1.1 PURPOSE 18 2.1.2 HEAT EXCHANGER OPTIMIZATION (CASE A) 19 2.1.3
OPTIMIZATION COUPLED WITH CHEMICAL REACTIONS (CASE B) 21 2.1.4
DETERMINATION OF TURBULENCE MODEL PARAMETERS BASED ON OPTIMIZATION (CASE
C) 22 2.2 EVOLUTIONARY ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION 23
2.2.1 MULTI-OBJECTIVE OPTIMIZATION 23 2.2.2 THE CONCEPT OF PARETO
DOMINANCE 25 2.2.3 EVOLUTIONARY ALGORITHM FOR MULTI-OBJECTIVE PROBLEMS
26 2.3 THE OPTIMAL POSITION OF THE TUBES IN A HEAT EXCHANGER (CASE A) '
28 2.3.1 TUBE BANK HEAT EXCHANGER 28 2.3.2 PROBLEM PARAMETERS. . .' 29
2.3.3 OPAL (OPTIMIZATION ALGORITHMS) PACKAGE 29 2.3.4 EVALUATION OF THE
OBJECTIVES FOR CASE A 30 2.3.5 PARALLELIZATION /* 33 2.3.6 COMPUTATIONAL
RESULTS 34 2.4 MULTI-OBJECTIVE OPTIMIZATION OF A LAMINAR BURNER (CASE B)
38 CONTENTS 2.4.1 GOVERNING EQUATIONS 38 2.4.2 NUMERICAL SOLUTION 40
2.4.3 OPTIMIZATION OF THE LAMINAR BURNER 42 2.5 OPTIMIZATION OF THE
STANDARD K-U TURBULENCE MODEL PARAMETERS (CASE C) 46 2.5.1 GOVERNING
EQUATIONS 48 2.5.2 NUMERICAL RESULTS 50 2.6 CONCLUSIONS 52 REFERENCES 56
MATHEMATICAL ASPECTS OF CFD-BASED OPTIMIZATION 61 HANS GEORG BOCK AND
VOLKER SCHULZ 3.1 INTRODUCTION 62 3.2 SIMULTANEOUS MODEL-BASED
OPTIMIZATION 63 3.2.1 SEQUENTIAL QUADRATIC PROGRAMMING (SQP) 63 3.2.2
MODULAR SQP METHODS 65 3.2.3 MULTIPLE SET-POINT OPTIMIZATION 69 3.2.4
MULTIGRID OPTIMIZATION 70 3.3 UNSTEADY PROBLEMS 72 3.3.1 TIME-DOMAIN
DECOMPOSITION BY MULTIPLE SHOOTING 73 3.3.2 PARALLEL MULTIPLE SHOOTING
75 3.3.3 REAL-TIME OPTIMIZATION AND NONLINEAR MODEL PREDICTIVE CONTROL
75 3.3.4 SENSITIVITY DRIVEN MULTIPLE SHOOTING 76 REFERENCES 77 ADJOINT
METHODS FOR SHAPE OPTIMIZATION 79 KYRIAKOS C. GIANNAKOGLOU AND DIMITRIOS
I. PAPADIMITRIOU 4.1 INTRODUCTION 80 4.2 PRINCIPLES OF THE ADJOINT
APPROACH 83 4.2.1 THE DISCRETE ADJOINT APPROACH 83 4.2.2 THE CONTINUOUS
ADJOINT APPROACH 84 4.2.3 DIFFERENCES BETWEEN DISCRETE AND CONTINUOUS
ADJOINT 85 4.3 INVERSE DESIGN USING THE'EULER EQUATIONS 86 4.4 INVERSE
DESIGN USING THE NAVIER-STOKES EQUATIONS 90 4.5 VISCOUS LOSSES
MINIMIZATION IN INTERNAL FLOWS 91 4.5.1 MINIMIZATION OF TOTAL PRESSURE
LOSSES 92 4.5.2 MINIMIZATION OF ENTROPY GENERATION 93 4.6 COMPUTATION OF
THE HESSIAN MATRIX 94 4.6.1 DISCRETE DIREOVADJOINT APPROACH FOR THE
HESSIAN. 95 4.6.2 CONTINUOUS DIRECT-ADJOINT APPROACH FOR THE HESSIAN
(INVERSE DESIGN) 96 4.7 APPLICATIONS 97 CONTENTS IX 4.7.1 GRADIENT AND
HESSIAN-BASED INVERSE DESIGN OF A 2D DUCT 97 4.7.2 LOSSES MINIMIZATION
OF A 2D COMPRESSOR CASCADE 99 4.8 CONCLUSIONS 104 REFERENCES 106 PART II
SPECIFIC APPLICATIONS OF CFD-BASED OPTIMIZATION TO ENGINEERING PROBLEMS
5 EFFICIENT DETERMINISTIC APPROACHES FOR AERODYNAMIC SHAPE OPTIMIZATION
ILL NICOLAS R. GAUGER 5.1 INTRODUCTION 112 5.2 PARAMETERIZATION BY
DEFORMATION 113 5.2.1 SURFACE DEFORMATION 114 5.2.2 GRID DEFORMATION 115
5.3 SENSITIVITY-BASED AERODYNAMIC SHAPE OPTIMIZATION 117 5.4 SENSITIVITY
COMPUTATIONS 119 5.4.1 FINITE DIFFERENCE METHOD 119 5.4.2 CONTINUOUS
ADJOINT FORMULATION 120 5.4.3 ALGORITHMIC DIFFERENTIATION (AD) 122 5.5
ADJOINT FLOW SOLVERS 124 5.5.1 CONTINUOUS ADJOINT FLOW SOLVERS 124 5.5.2
DISCRETE ADJOINT FLOW SOLVERS 125 5.6 AUTOMATIC DIFFERENTIATION APPLIED
TO AN ENTIRE DESIGN CHAIN 126 5.6.1 TEST CASE DEFINITION 127 5.6.2
FINITE DIFFERENCES 127 5.6.3 AUTOMATIC DIFFERENTIATION 132 5.7 ADJOINT
APPROCH FOR AERO-STRUCTURE COUPLING 133 5.7.1 ADJOINT FORMULATION FOR
AERO-STRUCTURE COUPLING 133 5.7.2 IMPLEMENTATION 140 5.7.3 VALIDATION
AND APPLICATION 141 5.8 ONE-SHOT METHODS J 142 REFERENCES 144 6
NUMERICAL OPTIMIZATION FOR ADVANCED TURBOMACHINERY DESIGN 147 RENE A.
VAN DEN BRAEMBUSSCHE 6.1 INTRODUCTION . /. 147 6.2 OPTIMIZATION METHODS
. F 150 6.2.1 SEARCH MECHANISMS 150 6.2.2 OBJECTIVE FUNCTION 156
CONTENTS 6.2.3 PARAMETERIZATION 159 6.3 TWO-LEVEL OPTIMIZATION 160 6.3.1
ARTIFICIAL NEURAL NETWORKS 162 6.3.2 DATABASE 164 6.4 SINGLE POINT
OPTIMIZATION OF TURBINE BLADE 166 6.4.1 2D BLADE GEOMETRY DEFINITION 166
6.4.2 PENALTY FOR NON-OPTIMUM MACH NUMBER DISTRIBUTION PMACH 168 6.4.3
DESIGN OF A TRANSONIC TURBINE BLADE 170 6.5 MULTIPOINT OPTIMIZATION OF A
LOW SOLIDITY DIFFUSER 172 6.6 MULTIDISCIPLINARY OPTIMIZATION 175 6.6.1
3D GEOMETRY DEFINITION 176 6.6.2 MULTIDISCIPLINARY OBJECTIVE FUNCTION
178 6.6.3 DESIGN CONDITIONS AND RESULTS 180 6.7 CONCLUSIONS 187
REFERENCES 188 CFD-BASED OPTIMIZATION FOR AUTOMOTIVE AERODYNAMICS . 191
LAURENT DUMAS 7.1 INTRODUCING AUTOMOTIVE AERODYNAMICS 192 7.1.1 A MAJOR
CONCERN FOR CAR MANUFACTURERS 192 7.1.2 . EXPERIMENTS ON BLUFF BODIES
192 7.1.3 WAKE FLOW BEHIND A BLUFF BODY 193 7.1.4 DRAG VARIATION WITH
THE SLANT ANGLE 194 7.2 THE DRAG REDUCTION PROBLEM 195 7.2.1 DRAG
REDUCTION IN THE AUTOMOTIVE INDUSTRY 196 7.2.2 NUMERICAL MODELIZATION
197 7.3 FAST AND GLOBAL OPTIMIZATION METHODS 199 7.3.1 EVOLUTIONARY
ALGORITHMS 199 7.3.2 ADAPTIVE HYBRID METHODS (AHM) 201 7.3.3 GENETIC
ALGORITHMS WITH APPROXIMATED EVALUATIONS (AGA) 203 7.3.4 VALIDATION ON
ANALYTIC TEST FUNCTIONS 205 7.4 CAR DRAG REDUCTION WITH NUMERICAL
OPTIMIZATION 207 7.4.1 DESCRIPTION OF THE TEST CASE 207 7.4.2 DETAILS OF
THE NUMERICAL SIMULATION 207 7.4.3 NUMERICAL RESULTS 209 7.5 ANOTHER
POSSIBLE APPLICATION OF CFD-O: AIRPLANE ENGINES 212 7.5.1 GENERAL
DESCRIPTION OF THE OPTIMIZATION CASE 212 7.5.2 DETAILS OF THE
COMPUTATION 213 7.5.3 OBTAINED RESULTS/ 213 7.6 CONCLUSION ! 214
REFERENCES 214 CONTENTS XI 8 MULTI-OBJECTIVE OPTIMIZATION FOR PROBLEMS
INVOLVING CONVECTIVE HEAT TRANSFER 217 MARCO MANZAN, ENRICO NOBILE,
STEFANO PIERI AND FRANCESCO PINTO 8.1 INTRODUCTION -. 218 8.2 LITERATURE
REVIEW 219 8.3 PROBLEM STATEMENT 222 8.3.1 GOVERNING EQUATIONS 223 8.3.2
FLUID DYNAMIC BOUNDARY CONDITIONS 224 8.3.3 TEMPERATURE BOUNDARY
CONDITIONS 225 8.4 NUMERICAL METHODS 228 8.4.1 FLUID DYNAMIC ITERATIVE
SOLUTION 228 8.4.2 THERMAL FIELD ITERATIVE SOLUTION 229 8.5 GEOMETRY
PARAMETRIZATION 231 8.5.1 WAVY CHANNELS 231 8.5.2 CC MODULE 234 8.6
OPTIMIZATION METHODS 235 8.6.1 DESIGN OF EXPERIMENT 238 8.7 OPTIMIZATION
ALGORITHMS 239 8.7.1 GENETIC ALGORITHM 242 8.7.2 MULTI-OBJECTIVE
APPROACHES 243 8.7.3 MULTI-CRITERIA DECISION MAKING (MCDM) 246 8.7.4
OPTIMIZATION PROCESS 247 8.8 RESULTS AND DISCUSSION 249 8.8.1 LINEAR
PIECEWISE OPTIMIZATION 249 8.8.2 NURBS OPTIMIZATION 250 8.8.3 LINEAR
PIECEWISE VERSUS NURBS 255 8.8.4 THREE-DIMENSIONAL ANALYSIS 256 8.8.5 CC
MODULE 258 8.9 CONCLUDING REMARKS 262 REFERENCES 263 9 CFD-BASED
OPTIMIZATION FOR A COMPLETE INDUSTRIAL PROCESS: PAPERMAKING 267 JARI
HAMALAINEN, TAIJA HAMALAINEN, ELINA MADETOJA AND HENRI RUOTSALAINEN 9.1
INTRODUCTION J. 267 9.2 OPTIMAL SHAPE DESIGN OF THE TAPERED HEADER 269
9.3 OPTIMAL CONTROL OF THE FIBER;ORIENTATION IN THE SLICE CHANNEL 1 272
9.3.1 ON MODELING FIBER ORIENTATION 272 9.3.2 HOCS FIBER - A TROUBLE
SHOOTING TOOL 273 9.3.3 DEPTH-AVERAGED NAVIER-STOKES EQUATIONS 274 9.3.4
VALIDATION OF THE DEPTH-AVERAGED NAVIER-STOKES EQUATIONS 276 9.4
MULTI-OBJECTIVE OPTIMIZATION OF PAPERMAKING 278 XII CONTENTS 9.4.1
MULTI-OBJECTIVE OPTIMIZATION 279 9.4.2 MODELING AND OPTIMIZING THE
COMPLETE PAPERMAKING PROCESS 281 9.4.3 NUMERICAL EXAMPLES 284 9.5
TOWARDS DECISION SUPPORT SYSTEMS 286 9.6 CONCLUSIONS 287 REFERENCES 288
INDEX 291 |
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| id | DE-604.BV023073680 |
| illustrated | Illustrated |
| index_date | 2024-07-02T19:34:05Z |
| indexdate | 2024-07-09T21:10:23Z |
| institution | BVB |
| isbn | 9783540721529 9783540721536 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016276802 |
| oclc_num | 154712288 |
| open_access_boolean | |
| owner | DE-29T DE-703 DE-91 DE-BY-TUM DE-634 |
| owner_facet | DE-29T DE-703 DE-91 DE-BY-TUM DE-634 |
| physical | XIV, 293 S. Ill., graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| spelling | Optimization and computational fluid dynamics Dominique Thévenin ... ed. Berlin [u.a.] Springer 2008 XIV, 293 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Computação aplicada larpcal Dinâmica dos fluídos larpcal Mathematisches Modell Fluid dynamics Mathematical models Mathematical optimization Numerische Strömungssimulation (DE-588)4690080-9 gnd rswk-swf Technisches System (DE-588)4126276-1 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Technisches System (DE-588)4126276-1 s Optimierung (DE-588)4043664-0 s Numerische Strömungssimulation (DE-588)4690080-9 s DE-604 Thévenin, Dominique 1966- Sonstige (DE-588)134097807 oth HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016276802&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Optimization and computational fluid dynamics Computação aplicada larpcal Dinâmica dos fluídos larpcal Mathematisches Modell Fluid dynamics Mathematical models Mathematical optimization Numerische Strömungssimulation (DE-588)4690080-9 gnd Technisches System (DE-588)4126276-1 gnd Optimierung (DE-588)4043664-0 gnd |
| subject_GND | (DE-588)4690080-9 (DE-588)4126276-1 (DE-588)4043664-0 |
| title | Optimization and computational fluid dynamics |
| title_auth | Optimization and computational fluid dynamics |
| title_exact_search | Optimization and computational fluid dynamics |
| title_exact_search_txtP | Optimization and computational fluid dynamics |
| title_full | Optimization and computational fluid dynamics Dominique Thévenin ... ed. |
| title_fullStr | Optimization and computational fluid dynamics Dominique Thévenin ... ed. |
| title_full_unstemmed | Optimization and computational fluid dynamics Dominique Thévenin ... ed. |
| title_short | Optimization and computational fluid dynamics |
| title_sort | optimization and computational fluid dynamics |
| topic | Computação aplicada larpcal Dinâmica dos fluídos larpcal Mathematisches Modell Fluid dynamics Mathematical models Mathematical optimization Numerische Strömungssimulation (DE-588)4690080-9 gnd Technisches System (DE-588)4126276-1 gnd Optimierung (DE-588)4043664-0 gnd |
| topic_facet | Computação aplicada Dinâmica dos fluídos Mathematisches Modell Fluid dynamics Mathematical models Mathematical optimization Numerische Strömungssimulation Technisches System Optimierung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016276802&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT thevenindominique optimizationandcomputationalfluiddynamics |