Computer Modeling for Injection Molding (eBook, PDF)

Simulation, Optimization, and Control
Redaktion: Zhou, Huamin

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 416
• Erscheinungstermin: 18. Januar 2013
• Englisch
• ISBN-13: 9781118444924
• Artikelnr.: 37756420

Autorenporträt

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.

Inhaltsangabe

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 and Furong Gao 12.1 Traditional Feedback Control
315 12.2 Adaptive Control Strategy
316 12.3 Model Predictive Control Strategy
318 12.4 Optimal Control Strategy
322 12.5 Intelligent Control Strategy
329 12.6 Summary of Advanced Feedback Control
335 13 Learning Control 339 Yi Yang and Furong Gao 13.1 Learning Control
339 13.2 Two-Dimensional (2D) Control
345 13.3 Conclusions
350 14 Multivariate Statistical Process Control 355 Yuan Yao and Furong Gao 14.1 Statistical Process Control
355 14.2 Multivariate Statistical Process Control
356 14.3 MSPC for Batch Processes
358 14.4 MSPC for Injection Molding Process
359 14.5 Conclusions
373 15 Direct Quality Control 377 Yi Yang and Furong Gao 15.1 Review of Product Weight Control
377 15.2 Methods
378 15.3 Experimental Results and Discussion
380 15.4 Conclusions
389 References
389 INDEX 391