What is included with this book?
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.
Preface
Contributors
Part I Background
1 Introduction
Huamin Zhou
1.1 Introduction of injection molding
1.2 Factors influencing quality
1.3 Computer modeling
1.4 Objective of this book
References
2 Background
Huamin Zhou
2.1 Molding materials
2.2 Product design
2.3 Mold design
2.4 Molding process
2.5 Process control
References
Part II Simulation
3 Mathematical Models for the Filling and Packing Simulation
Huamin Zhou, and Zixiang Hu
3.1 Material constitutive relationships and viscosity models
3.4 Governing equations for fluid flow
3.5 Boundary conditions
3.6 Model simplifications
References
4 Numerical Implementation for the Filling and Packing Simulation
Huamin Zhou, Zixiang Hu, and Yun Zhang
4.1 Numerical methods
4.2 Tracking of moving melt fronts
4.3 Methods for solving algebraic equations
References
5 Cooling Simulation
Yun Zhang, and Huamin Zhou
5.1 Introduction
5.2 Modeling
5.3 Numerical implementation based on boundary element method
5.4 Acceleration method
5.5 Simulation for transient mold temperature field
References
6 Residual Stress and Warpage Simulation
Fen Liu, Lin Deng, and Huamin Zhou
6.1 Residual stress analysis
6.2 Warpage simulation
Reference
7 Microstructure and Morphology Simulation
Huamin Zhou, Fen Liu, and Peng Zhao
7.1 Types of polymeric systems
7.2 Crystallization
7.3 Phase morphological evolution in polymer blends
7.4 Orientation
7.5 Numerical implementation
7.6 Microstructure-property relationships
7.7 Multiscale modeling and simulation
Reference
8 Development and Application of Simulation Software
Zhigao Huang, Zixiang Hu, and Huamin Zhou
8.1 Development history of injection molding simulation models
8.2 Development history of injection molding simulation software
8.3 The process of performing simulation software
8. 4 The application of simulation results
References
Part III Optimization
9 Non-iterative optimization methods
Peng Zhao, Yuehua Gao, Huamin Zhou, and Lih-Sheng Turng
9.1 Taguchi method
9.2 Grey relational analysis
9.3 Expert systems
9.4 Case-based reasoning
9.5 Fuzzy systems
9.6 Injection molding applications
References
10 Intelligent Optimization Algorithms
Yuehua Gao, Peng Zhao, Lih-Sheng Turng, and Huamin Zhou
10.1 Genetic algorithms
10.2 Simulated annealing algorithms
10.3 Particle swarm algorithms
10.4 Ant colony algorithms
10.5 Hill climbing algorithms
References
11 Optimization Methods Based on Surrogate Models
Yuehua Gao, Lih-Sheng Turng, Peng Zhao, and Huamin Zhou
11.1 Response surface method
11.2 Artificial neural network
11.3 Support vector regression
11.4 Kriging model
11.5 Gaussian process
11.6 Injection molding applications of optimization methods based on surrogate models
References
Part IV Process Control
12 Feedback Control
Yi Yang, and Furong Gao
12.1 Traditional feedback control
12.2 Adaptive control strategy
12.3 Model predictive control strategy
12.4 Optimal control strategy
12.5 Intelligent control strategy
12.6 Summary of advanced feedback control
References
13 Learning Control
Yi Yang, and Furong Gao
13.1 Learning control
13.2 Two-dimensional (2D) control
13.3 Conclusions
References
14 Multivariate Statistical Process Control
Yuan Yao, and Furong Gao
14.1 Statistical process control
14.2 Multivariate statistical process control
14.3 MSPC for batch processes
14.4 MSPC for injection molding process
14.5 Conclusions
References
15 Direct Quality Control
Yi Yang, and Furong Gao
15.1 Review of product weight control
15.2 Methods
15.3 Experimental results and discussion
15.4 Conclusions
References
Index
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