Thermal management in laminated die system
dc.contributor.author | Seo, Jaho | |
dc.contributor.author | Khajepour, Amir | |
dc.contributor.author | Huissoon, Jan P. | |
dc.date.accessioned | 2017-04-03T13:44:58Z | |
dc.date.available | 2017-04-03T13:44:58Z | |
dc.date.issued | 2014-08-01 | |
dc.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 | en |
dc.description.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. | en |
dc.identifier.uri | https://doi.org/10.1007/s12555-013-0348-6 | |
dc.identifier.uri | http://hdl.handle.net/10012/11621 | |
dc.language.iso | en | en |
dc.publisher | Springer | en |
dc.subject | Fuzzy logic | en |
dc.subject | Laminated die | en |
dc.subject | Plastic injection moulding | en |
dc.subject | Self-tuning PID control | en |
dc.subject | System identification | en |
dc.subject | Various cycle-times | en |
dc.title | Thermal management in laminated die system | en |
dc.type | Article | en |
dcterms.bibliographicCitation | Seo, J., Khajepour, A., & Huissoon, J. P. (2014). Thermal management in laminated die system. International Journal of Control, Automation and Systems, 12(4), 794–804. https://doi.org/10.1007/s12555-013-0348-6 | en |
uws.contributor.affiliation1 | Faculty of Engineering | en |
uws.contributor.affiliation2 | Mechanical and Mechatronics Engineering | en |
uws.peerReviewStatus | Reviewed | en |
uws.scholarLevel | Faculty | en |
uws.typeOfResource | Text | en |
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