Enhancing process insight in polymer extrusion by grey box modelling

Marion McAfee

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Due to the complexity and inherent instability in polymer extrusion there is a need for process models which can be run on-line to optimise settings and control disturbances. First-principle models demand computationally intensive solution, while ‘black box’ models lack generalisation 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 re-tuning for different materials without extensive remodelling work.
Original languageEnglish
Pages (from-to)467-488
Number of pages22
JournalTransactions of the Institute of Measurement and Control
Volume29
Issue number5
Publication statusPublished - Mar 2007

ASJC Scopus subject areas

  • Instrumentation

Fingerprint Dive into the research topics of 'Enhancing process insight in polymer extrusion by grey box modelling'. Together they form a unique fingerprint.

Cite this