NDLI: Thermal management in laminated die system

Content Provider	Springer Nature Link
Author	Seo, Jaho Khajepour, Amir Huissoon, Jan P.
Copyright Year	2014
Abstract	The thermal control of a die is crucial for the development of high efficiency injection moulds. For an effective thermal management, this research provides a strategy to identify a thermal dynamic model and to design a controller. The neural network techniques and finite element analysis enable modeling to deal with various cycle-times for moulding process and uncertain dynamics of a die. Based on the system identification which is experimentally validated using a real system, controllers are designed using fuzzy-logic and self-tuning PID methods with backpropagation and radial basis function neural networks to tune control parameters. Through a comparative study, each controller’s performance is verified in terms of response time and tracking accuracy under different moulding processes with multiple cycle-times.
Starting Page	794
Ending Page	804
Page Count	11
File Format	PDF
ISSN	15986446
Journal	International Journal of Control, Automation and Systems
Volume Number	12
Issue Number	4
e-ISSN	20054092
Language	English
Publisher	Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
Publisher Date	2014-07-01
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fuzzy logic laminated die plastic injection moulding self-tuning PID control system identification various cycle-times Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications

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