Injection Molding Process Control, Monitoring, and Optimization - Rilegato

Yang, Yi; Chen, XI; Lu, Ningyun; Gao, Furong

Rilegato

ISBN 10: 1569905924 ISBN 13: 9781569905920

Casa editrice: Hanser Pub Inc, 2016

Riassunto

Injection molding is the most versatile, flexible, and dynamic plastics production operation. It has been used to manufacture products from practically all thermoplastic polymers, blends, composites, and nanocomposites. A critical aspect for the success of the process depends on understanding and control of the various steps of the injection molding process and the thermo-mechanical history experienced by the polymer throughout the process. Moreover, it is important to understand the impact of this history on the characteristics of the final product.As many of the above interactions and concepts are complex, it is very important to develop a monitoring strategy that permits the identification of the status and responses of the critical process variables. Overall, a successful injection molding process must be coupled to a successful process monitoring, optimization, and control strategy.Injection Molding Process Control, Monitoring, and Optimization represents a major contribution to the science and practice of injection molding by satisfying the critical needs of injection molding machine manufacturers, mold and product designers, and molders. Moreover, the book will be helpful to researchers and teachers in the fields of injection molding and process control.

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Informazioni sull?autore

Dr. Furong Gao received his B.Eng. degree in Automation from the East China Institute of Petroleum in 1985 and M.Eng. and Ph.D. degrees in Chemical Engineering from McGill University, Canada, in 1989 and 1993, respectively. Currently, he is a Chair Professor of Chemical and Biomolecular Engineering at the Hong Kong University of Science and Technology (HKUST), and a “State Thousand Talents (B)” Professor at the Department of Control Science and Engineering, Zhejaing University, China. Concurrent to his professorial appointment, he serves HKUST also as the Associate Dean of Fok Ying Tung Graduate School, and the Director of the Division of Advanced Manufacturing and Automation.

Professional Affiliations:

Fellow, Society of Plastics Engineers
Consultant, Hong Kong Plastics Machinery Association
Funding Director, Society of Advanced Molding Technology
Member, International Federation of Automatic Control (IFAC) Technical Committee
Associate Editor, Journal of Process Control
Editorial Advisor, Industrial & Engineering Chemistry Research
Engineering Subject Editor, Arabian Journal of Engineering and Science
Editorial Member, China Plastics
Editorial Member, Control & Decision

Dalla quarta di copertina

Injection molding is the most versatile, flexible, and dynamic plastics production operation. It has been used to manufacture products from practically all thermoplastic polymers, blends, composites, and nanocomposites. A critical aspect for the success of the process depends on understanding and control of the various steps of the injection molding process and the thermo-mechanical history experienced by the polymer throughout the process. Moreover, it is important to understand the impact of this history on the characteristics of the final product.
As many of the above interactions and concepts are complex, it is very important to develop a monitoring strategy that permits the identification of the status and responses of the critical process variables. Overall, a successful injection molding process must be coupled to a successful process monitoring, optimization, and control strategy.
Injection Molding: Process Control, Monitoring, and Optimization represents a major contribution to the science and practice of injection molding by satisfying the critical needs of injection molding machine manufacturers, mold and product designers, and molders. Moreover, the book will be helpful to researchers and teachers in the fields of injection molding and process control.
Contents:
Injection Molding: Background
Feedback Control Algorithms Developed for Continuous Processes
Learning Type Control for the Injection Molding Process
Two-Dimensional Control Algorithms
Statistical Process Monitoring of Injection Molding: Basics
Phase-Based SPM Strategies
Phase-Based Quality Improvement Strategies
In-Mold Capacitive Transducer for Injection Molding Process
Profile Setting of Injection Velocity
Profile Setting of Packing Pressure
Parameter Setting for the Plastication Stage

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Chapter 1 INJECTION MOLDING: MACHINE AND PROCESS
1.1 Introduction of general polymer processing
1.2 Polymer material and characteristics
1.3 Injection molding machine
1.4 Injection molding process

Chapter 2 EVOLUTION OF SYSTEMS TECHNOLOGIES IN INJECTION MOLDING
2.1 Introduction of systems technology
2.2 Evolution of process control technology in injection molding
2.3 Evolution of process monitoring technology in injection molding
2.4 Evolution of process optimization technology in injection molding

Control
Chapter 3 FEEDBACK CONTROL ALGORITHMS DEVELOPED FOR CONTINUOUS PROCESSES
3.1 Introduction of feedback control background
3.2 Traditional feedback control: PID
3.3 Adaptive control
3.4 Model predictive control: GPC
3.5 Optimal control
3.6 Fuzzy and Artificial Neural Networks control

Chapter 4 LEARNING TYPE CONTROL DEVELOPED FOR REPETITIVE PROCESS
4.1 Introduction of learning type control background
4.2 Basic iterative learning control
4.3 Optimal iterative learning control

Chapter 5 TWO-DIMENSIONAL CONTROL ALGORITHMS
5.1 Introduction of two-dimensional control background
5.2 Two-dimensional robust control
5.3 Two-dimensional optimal control
5.4 Two-dimensional model predictive control

Chapter 6 FAULT-TOLERANT CONTROL IN INJECTION MOLDING
6.1 Introduction of fault-tolerant control injection molding
6.2 Active fault-tolerant control with sensor failure: an example

Monitoring
Chapter 7 STATISTICAL PROCESS MONITORING (SPM)
7.1 Process monitoring for continuous processes
7.2 Process monitoring for batch processes

Chapter 8 SPM BASED ON PHASE RECOGNITION AND HARD PARTITION STRATEGY
8.1 Data-driven phase recognition and phase partition
8.2 Phase-based SPM in injection molding
8.3 SPM with limited modeling data
8.4 Quality-oriented process monitoring

Chapter 9 SPM BASED ON SOFT PHASE PARTITION STRATEGY
9.1 Transition-based soft phase partition
9.2 Soft phase-based SPM in injection molding
9.3 Dissimilarity analysis based process monitoring
9.4 Dissimilarity analysis based nonlinear process monitoring
9.5 Adaptive process monitoring in injection molding

Chapter 10 TWO-DIMENSIONAL MODEL-BASED PROCESS MONITORING & FAULT DIAGNOSIS
10.1 Two dimensional dynamic principal component analysis (2D-DPCA)
10.2 2D-DPCA based process monitoring
10.3 2D-DPCA based fault diagnosis

Optimization
Chapter 11 IN-MOLD CAPACITIVE TRANSDUCER FOR INJECTION MOLDING PROCESS
11.1 Principle of capacitive transducers
11.2 Hardware design of the in-mold capacitive transducer
11.3 Detection of the melt flow in filling stage
11.4 Detection of in-mold status in packing & cooling stage
11.5 Application for online part weight prediction and fault detection

Chapter 12 OPTIMAL PROFILING FOR FILLING STAGE
12.1 Introduction
12.2 Constant melt-front-velocity strategy
12.3 Soft-sensor development of average-flow-length
12.4 Uniform filling based on optimization
12.5 Optimal profile of injection velocity for different mold shapes

Chapter 13 OPTIMAL PROFILING FOR PACKING STAGE
13.1 Introduction
13.2 Online auto-detection of gate freezing-off point
13.3 Influence of packing profile on part quality
13.4 Profiling of packing pressure

Chapter 14 PARAMETER SETTING FOR PLASTICATION STAGE
14.1 Introduction
14.2 Neural network modeling of melt temperature
14.3 Optimal parameter setting

Chapter 15 MODEL FREE OPTIMIZATION FOR PART QUALITY CONTROL
15.1 Model free optimization strategy for injection molding process
15.2 Gradient-based algorithm
15.3 Non-gradient-based algorithm
15.4 Part weight control via MFO
15.5 Focal length control via MFO

Dettagli dell'edizione

• Editore: Hanser Pub Inc
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 1569905924
• ISBN 13: 9781569905920
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 397
• Contatto del produttore: Carl Hanser Verlag GmbH & Co.KG; info@hanser.de; ; Vilshofener Straße 10; München; 81679; Germania