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Enhancing process insight in polymer extrusion by grey box modelling

School of Mechanical and Aerospace Engineering, Queen's University Belfast Ashby Building, 125 Stranmillis Road, Belfast, BT9 5AH, UK, m.mcafee{at}qub.ac.uk

Owing to the complexity and inherent instability in polymer extrusion there is a need for process models which can be run on-line to optimize settings and control disturbances. First-principle models demand computationally intensive solution, while `black box' models lack generalization ability and physical process insight. This work examines a novel `grey box' modelling technique which incorporates both prior physical knowledge and empirical data in generating intuitive models of the process. The models can be related to the underlying physical mechanisms in the extruder and have been shown to capture unpredictable effects of the operating conditions on process instability. Furthermore, model parameters can be related to material properties available from laboratory analysis and as such, lend themselves to retuning for different materials without extensive remodelling work.

Key Words: grey box modelling • polymer extnssion

Transactions of the Institute of Measurement and Control, Vol. 29, No. 5, 467-488 (2007)
DOI: 10.1177/0142331207079815


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