Thermal management in laminated die system

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Date

2014-08-01

Authors

Seo, Jaho
Khajepour, Amir
Huissoon, Jan P.

Advisor

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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

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