UWSpace is currently experiencing technical difficulties resulting from its recent migration to a new version of its software. These technical issues are not affecting the submission and browse features of the site. UWaterloo community members may continue submitting items to UWSpace. We apologize for the inconvenience, and are actively working to resolve these technical issues.
 

Thermal management in laminated die system

Thumbnail Image

Files

Manuscript_Final ver_20140219_Real_ten[1]-s.pdf (712.52 KB)

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

LC Keywords

Citation

URI

https://doi.org/10.1007/s12555-013-0348-6
 http://hdl.handle.net/10012/11621

Collections

Waterloo Research
Mechanical and Mechatronics Engineering