O'Reilly logo

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Computer Modeling for Injection Molding: Simulation, Optimization, and Control

Computer Modeling for Injection Molding: Simulation, Optimization, and Control

1 review
by Huamin Zhou
Publisher: John Wiley & Sons
Release Date: March 2013
ISBN: 9781118444917
Topics:
View table of contents
Start reading

Book Description

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.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. Contributors
  6. Part I: Background
    1. Chapter 1: Introduction
      1. 1.1 Introduction of Injection Molding
      2. 1.2 Factors Influencing Quality
      3. 1.3 Computer Modeling
      4. 1.4 Objective of this Book
      5. References
    2. Chapter 2: Background
      1. 2.1 Molding Materials
      2. 2.2 Product Design
      3. 2.3 Mold Design
      4. 2.4 Molding Process
      5. 2.5 Process Control
      6. References
  7. Part II: Simulation
    1. Chapter 3: Mathematical Models for the Filling And Packing Simulation
      1. 3.1 Material Constitutive Relationships and Viscosity Models
      2. 3.2 Thermodynamic Relationships
      3. 3.3 Thermal Properties Model
      4. 3.4 Governing Equations for Fluid Flow
      5. 3.5 Boundary Conditions
      6. 3.6 Model Simplifications
      7. References
    2. Chapter 4: Numerical Implementation for the Filling and Packing Simulation
      1. 4.1 Numerical Methods
      2. 4.2 Tracking of Moving Melt Fronts
      3. 4.3 Methods for Solving Algebraic Equations
      4. References
    3. Chapter 5: Cooling Simulation
      1. 5.1 Introduction
      2. 5.2 Modeling
      3. 5.3 Numerical Implementation Based on Boundary Element Method
      4. 5.4 Acceleration Method
      5. 5.5 Simulation for Transient Mold Temperature Field
      6. References
    4. Chapter 6: Residual Stress and Warpage Simulation
      1. 6.1 Residual Stress Analysis
      2. 6.2 Warpage Simulation
      3. References
    5. Chapter 7: Microstructure and Morphology Simulation
      1. 7.1 Types of Polymeric Systems
      2. 7.2 Crystallization
      3. 7.3 Phase Morphological Evolution in Polymer Blends
      4. 7.4 Orientation
      5. 7.5 Numerical Implementation
      6. 7.6 Microstructure-Property Relationships
      7. 7.7 Multiscale Modeling and Simulation
      8. References
    6. Chapter 8: Development and Application of Simulation Software
      1. 8.1 Development History of Injection Molding Simulation Models
      2. 8.2 Development History of Injection Molding Simulation Software
      3. 8.3 The Process of Performing Simulation Software
      4. 8.4 Application of Simulation Results
      5. References
  8. Part III: Optimization
    1. Chapter 9: Noniterative Optimization Methods
      1. 9.1 Taguchi method
      2. 9.2 Gray relational analysis
      3. 9.3 Expert systems
      4. 9.4 Case-Based Reasoning
      5. 9.5 Fuzzy Systems
      6. 9.6 Injection Molding Applications
      7. References
    2. Chapter 10: Intelligent Optimization Algorithms
      1. 10.1 Genetic Algorithms
      2. 10.2 Simulated Annealing Algorithms
      3. 10.3 Particle Swarm Algorithms
      4. 10.4 Ant Colony Algorithms
      5. 10.5 Hill Climbing Algorithms
      6. References
    3. Chapter 11: Optimization Methods Based on Surrogate Models
      1. 11.1 Response Surface Method
      2. 11.2 Artificial Neural Network
      3. 11.3 Support Vector Regression
      4. 11.4 Kriging Model
      5. 11.5 Gaussian Process
      6. 11.6 Injection Molding Applications of Optimization Methods Based on Surrogate Models
      7. References
  9. Part IV: Process Control
    1. Chapter 12: Feedback Control
      1. 12.1 Traditional Feedback Control
      2. 12.2 Adaptive Control Strategy
      3. 12.3 Model Predictive Control Strategy
      4. 12.4 Optimal Control Strategy
      5. 12.5 Intelligent Control Strategy
      6. 12.6 Summary of Advanced Feedback Control
      7. References
    2. Chapter 13: Learning Control
      1. 13.1 Learning Control
      2. 13.2 Two-Dimensional (2D) Control
      3. 13.3 Conclusions
      4. References
    3. Chapter 14: Multivariate Statistical Process Control
      1. 14.1 Statistical Process Control
      2. 14.2 Multivariate Statistical Process Control
      3. 14.3 MSPC For Batch Processes
      4. 14.4 MSPC For Injection Molding Process
      5. 14.5 Conclusions
      6. References
    4. Chapter 15: Direct Quality Control
      1. 15.1 Review of Product Weight Control
      2. 15.2 Methods
      3. 15.3 Experimental Results And Discussion
      4. 15.4 Conclusions
      5. References
  10. Index