Thermal management in laminated die system
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Date
2014-08-01
Authors
Seo, Jaho
Khajepour, Amir
Huissoon, Jan P.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
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.
Description
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Control, Automation and Systems on August 2014, available online: http://dx.doi.org/10.1007/s12555-013-0348-6
Keywords
Fuzzy logic, Laminated die, Plastic injection moulding, Self-tuning PID control, System identification, Various cycle-times