OPTIMIZATION IN POLYMER PROCESSING -- OPTIMIZATION IN POLYMER PROCESSING -- CONTENTS -- PREFACE -- Chapter 1 INTRODUCTION -- OPTIMIZATION IN ENGINEERING -- Chapter2ANINTRODUCTIONTOOPTIMIZATION -- 1Introduction -- 2MathematicalFormulation -- 3ContinuousandDiscreteOptimization -- 4GlobalandLocalOptimizationandConvexity -- 5OptimalityConditions -- 5.1Unconstrainedproblems -- 5.2Constrainedproblems -- 6HeuristicsandMetaheuristics -- 7Conclusion -- References -- Chapter3ANINTRODUCTIONTOMULTIOBJECTIVEOPTIMIZATIONTECHNIQUES -- 1Introduction -- 2NotionsofOptimalityinMOPs -- 3MathematicalProgrammingTechniques -- 3.1APrioriPreferenceArticulation -- 3.1.1GoalProgramming -- 3.1.2Goal-AttainmentMethod -- 3.1.3LexicographicMethod -- 3.2APosterioriPreferenceArticulation -- 3.2.1LinearCombinationofWeights -- 3.2.2NormalBoundaryIntersection -- 3.2.3e-ConstraintMethod -- 3.2.4MethodofWeightedMetrics -- 3.3InteractivePreferenceArticulation -- 3.3.1MethodofGeoffrion-Dyer-Feinberg(GDF) -- 3.3.2TchebycheffMethod -- 3.3.3ReferencePointMethods -- 3.3.4LightBeamSearch -- 4EvolutionaryAlgorithms -- 4.1MOGA -- 4.2NSGAandNSGA-II -- 4.3SPEAandSPEA2 -- 4.4PAES -- 4.5PESA -- 4.6NewTrendsinMOEAs -- 4.7IncorporationofPreferencesinMOEAs -- 4.8NewTrendsintheIncorporationofPreferencesinMOEAs -- 5Conclusion -- References -- Chapter 4 EXTENDING OPTIMIZATION ALGORITHMS TO COMPLEX ENGINEERING PROBLEMS -- 1. INTRODUCTION -- 2. THE METHODOLOGY -- 2.1. Methodology Structure -- 2.2. Multi-Objective Evolutionary Algorithms -- 3. DECISION MAKING -- 3.1. Current Methods -- 2.2. Weighted Stress Function Method -- 3. ROBUSTNESS -- 4. MEMETIC ALGORITHMS -- 4.1. General Concepts -- 4.2. Coupling MOEAs to a Local Search Method -- 5. Application Examples -- Decision Making -- Robustness -- Memetic Algorithm -- CONCLUSION -- REFERENCES -- APPLICATION TO POLYMER PROCESSING.

Chapter 5 POLYMER EXTRUSION - SETTING THE OPERATING CONDITIONS AND DEFINING THE SCREW GEOMETRY -- 1. INTRODUCTION -- 2.MODELING -- 2.1.Single Screw Extrusion -- 2.2.Co-Rotating Twin-Screw Extrusion -- 3. OPTIMIZATION METHODOLOGIES -- 3.1. Characteristics of the Optimization Problems -- 3.2. TSCP as a Sequencing Problem -- 4. RESULTS AND DISCUSSION -- 4.1. Introduction -- 4.2. Single Screw Extrusion -- 4.3. Co-Rotating Twin-Screw Extrusion -- 4.4. Decision Making Strategies -- CONCLUSION -- REFERENCES -- Chapter 6 REACTIVE EXTRUSION - OPTIMIZATION OF REPRESENTATIVE PROCESSES -- 1. INTRODUCTION -- 2. REACTIVE EXTRUSION MODELING -- 2.1. Concepts -- Flow in the Twin Screw Extruder -- Chemical Reaction -- Rheokinetics -- Coupling the Various Modules -- Open Challenges to Model Reactive Extrusion -- 2.2. ε-caprolactone Polymerization -- 2.3. Starch Cationization -- 3. EXAMPLES OF THE OPTIMIZATION OF REACTIVE EXTRUSION -- 3.1. Optimization Algorithm -- 3.2. ε-Caprolactone Polymerization -- 3.3. Starch Cationization -- CONCLUSION -- REFERENCES -- Chapter 7 THE AUTOMATIC DESIGN OF EXTRUSION DIES AND CALIBRATION/COOLING SYSTEMS -- 1. INTRODUCTION -- 2. STATE-OF-THE-ART -- 3. OPTIMIZATION METHODOLOGY -- 3.1. Problem Setup -- Extrusion dies -- Calibration/cooling systems -- 3.2. Pre-processor -- 3.3. Flow and Thermal Field Calculation -- 3.4. Performance Evaluation -- Extrusion dies -- Calibration/cooling system -- 3.5. Optimization Technique -- 4. CASE STUDY -- 4.1 Extrusion Die Flow Channel Optimisation -- 4.2. Calibration/cooling System Layout Optimisation -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 8 ON THE USE OF REDUCED BASES IN OPTIMIZATION OF INJECTION MOLDING -- 1. INTRODUCTION -- 1.1. Process Description - Injection Molding -- 1.2. The Injection Molding Equipment -- 1.3. Description of the Injection Molding Cycle.

1.4. Importance of the Cooling Step for Manufacturing Injected Parts -- 2. MOLD COOLING PPTIMIZATION -- 2.1. Introduction -- 2.2. BEM for Transient Heat Balance Equation -- 2.3 Coupling DRBEM with an Optimization Method -- 3. REDUCING MODELING -- 3.1. Introduction -- 3.2. Revisiting the Karhunen-Loève Decomposition -- 3.3. Reduced Modeling -- 3.4. Reduced Basis Adaptivity -- 3.5 Illustrating the Applicability of Reduced Bases -- 3.6 Discussion -- 4. APPLICATION OF THE DRBEM REDUCED MODEL TO MOLD COOLING OPTIMIZATION -- 4.1. Reduced Model Coupled with DRBEM -- 4.2 Overall Optimization Methodology -- 4.3. Application -- CONCLUSION -- REFERENCES -- Chapter 9 ESTIMATION AND CONTROL OF SHEET TEMPERATURE IN THERMOFORMING -- 1. INTRODUCTION -- 2. ESTIMATION AND CONTROL OF SHEET TEMPERATURE USING THE 2D FOURIER TRANSFORM -- 2.1. Estimation of Temperature -- 2.2. Interpolation by Zero Padding Technique -- 2.3. Simulation Results for the Estimation of Temperature by 2D FFT -- 2.4. Incorporation of the FFT-based Temperature Estimate into the Design of the Controller -- 2.5. Simulation Results with the Fourier Controller -- 3. SOLVING THE INVERSE HEATING PROBLEM BYCONJUGATE GRADIENT METHOD -- 3.1. Modeling of Sheet Reheat Phase in Thermoforming -- 3.2. Solving the Direct Heating Problem -- 3.3. Solution to the Inverse Heating Problem -- 3.4. Sensitivity Matrix Calculation -- 3.5. Simulation Results of the Proposed Solution Method for the Inverse Heating Problem -- CONCLUSION -- REFERENCES -- INDEX.