Abstract
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.
Original language | English |
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Pages (from-to) | 467-488 |
Number of pages | 22 |
Journal | Transactions of the Institute of Measurement & Control |
Volume | 29 |
Issue number | 5 |
DOIs | |
Publication status | Published - Dec 2007 |
Externally published | Yes |
Keywords
- grey box modelling
- polymer extnssion