Computer Modeling for Injection Molding

This book covers a wide range of applications and uses of simulation and modeling techniques in polymer injection molding, filling a noticeable gap in the literature of design, manufacturing, and the use of plastics injection molding. The authors help readers solve problems in the advanced control, simulation, monitoring, and optimization of injection molding processes. The book provides a tool for researchers and engineers to calculate the mold filling, optimization of processing control, and quality estimation before prototype molding.

Auteur

HUAMIN ZHOU, PhD, is Vice Dean of the School of Materials
Science and Engineering and Vice Director of the State Key
Laboratory of Materials Processing and Die & Mould Technology
at the Huazhong University of Science and Technology, Wuhan, China.
Dr. Zhou has published more than 200 peer-reviewed papers. His
research examines polymer processing, numerical simulation, and
process optimization and control.

Texte du rabat

A guide to optimizing the manufacture of high-quality plastic products

Injection molding is the most popular process for manufacturing plastic products, including automotive parts, household articles, consumer electronics, and several other everyday items. Rather than relying on costly trial-and-error methods, manufacturers are increasingly turning to sophisticated computer modeling in order to optimize the design and performance of new injection molding plastic products. Moreover, computer modeling enables them to design the most efficient and cost-effective processes to manufacture these products.

Computer Modeling for Injection Molding is a systematic and comprehensive book written by a team of leading experts that guide readers through the latest advances in the field. Following the authors' clear explanations, readers will discover a host of new computer modeling tools that enable them to design and manufacture high-quality injection molding products. The book is divided into four parts:

• Part One: Background
• Part Two: Simulation
• Part Three: Optimization
• Part Four: Process Control
  Topics include some of the latest advances in technology and computing, such as parallel computing, the acceleration method, intelligent optimization methods, and learning control for injection molding. Throughout the book, the authors set forth problems that typically arise in computer modeling alongside easy-to-implement solutions. Case studies documenting successful applications of computer modeling for injection molding offer important lessons of what to do and what not to do.

Computer Modeling for Injection Molding provides students and researchers new to the field with all the basic information needed to get started. It also offers experienced plastics engineers the latest advances in the field needed to design, optimize, and manufacture high-quality plastic products as efficiently as possible.

Contenu

PREFACE xiii

CONTRIBUTORS xv

PART I BACKGROUND 1

1 Introduction 3
Huamin Zhou

1.1 Introduction of Injection Molding, 3

1.2 Factors Influencing Quality, 5

1.3 Computer Modeling, 10

1.4 Objective of This Book, 17

2 Background 25
Huamin Zhou

2.1 Molding Materials, 25

2.2 Product Design, 31

2.3 Mold Design, 34

2.4 Molding Process, 37

2.5 Process Control, 43

PART II SIMULATION 49

3 Mathematical Models for the Filling and Packing Simulation 51
Huamin Zhou, Zixiang Hu, and Dequn Li

3.1 Material Constitutive Relationships and Viscosity Models, 51

3.2 Thermodynamic Relationships, 56

3.3 Thermal Properties Model, 58

3.4 Governing Equations for Fluid Flow, 59

3.5 Boundary Conditions, 65

3.6 Model Simplifications, 67

4 Numerical Implementation for the Filling and Packing Simulation 71
Huamin Zhou, Zixiang Hu, Yun Zhang, and Dequn Li

4.1 Numerical Methods, 71

4.2 Tracking of Moving Melt Fronts, 101

4.3 Methods for Solving Algebraic Equations, 113

5 Cooling Simulation 129
Yun Zhang and Huamin Zhou

5.1 Introduction, 129

5.2 Modeling, 131

5.3 Numerical Implementation Based on Boundary Element Method, 136

5.4 Acceleration Method, 143

5.5 Simulation for Transient Mold Temperature Field, 150

6 Residual Stress and Warpage Simulation 157
Fen Liu, Lin Deng, and Huamin Zhou

6.1 Residual Stress Analysis, 157

6.2 Warpage Simulation, 170

7 Microstructure and Morphology Simulation 195
Huamin Zhou, Fen Liu, and Peng Zhao

7.1 Types of Polymeric Systems, 195

7.2 Crystallization, 196

7.3 Phase Morphological Evolution in Polymer Blends, 203

7.4 Orientation, 214

7.5 Numerical Implementation, 220

7.6 Microstructure-Property Relationships, 224

7.7 Multiscale Modeling and Simulation, 228

8 Development and Application of Simulation Software 237
Zhigao Huang, Zixiang Hu, and Huamin Zhou

8.1 Development History of Injection Molding Simulation Models, 237

8.2 Development History of Injection Molding Simulation Software, 240

8.3 The Process of Performing Simulation Software, 243

8.4 Application of Simulation Results, 246

PART III OPTIMIZATION 255

9 Noniterative Optimization Methods 257
Peng Zhao, Yuehua Gao, Huamin Zhou, and Lih-Sheng Turng

9.1 Taguchi Method, 258

9.2 Gray Relational Analysis, 260

9.3 Expert Systems, 261

9.4 Case-Based Reasoning, 266

9.5 Fuzzy Systems, 268

9.6 Injection Molding Applications, 274

10 Intelligent Optimization Algorithms 283
Yuehua Gao, Peng Zhao, Lih-Sheng Turng, and Huamin Zhou

10.1 Genetic Algorithms, 283

10.2 Simulated Annealing Algorithms, 285

10.3 Particle Swarm Algorithms, 287

10.4 Ant Colony Algorithms, 289

10.5 Hill Climbing Algorithms, 290

11 Optimization Methods Based on Surrogate Models 293
Yuehua Gao, Lih-Sheng Turng, Peng Zhao, and Huamin Zhou

11.1 Response Surface Method, 294

11.2 Artificial Neural Network, 296

11.3 Support Vector Regression, 298

11.4 Kriging Model, 301

11.5 Gaussian Process, 304

11.6 Injection Molding Applications of Optimization Methods Based on Surrogate Models, 305

PART IV PROCESS CONTROL 313 12 Feedback Control 315
*Yi Yang a...