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Dynamic gray-box modeling for on-line monitoring of polymer extrusion viscosity
journal contribution
posted on 2023-06-09, 07:14 authored by Xueqin Liu, Kang Li, Marion McAfee, Bao Kha NguyenBao Kha Nguyen, Gerald McNallyMelt viscosity is a key indicator of product quality in polymer extrusion processes. However, real time monitoring and control of viscosity is difficult to achieve. In this article, a novel “soft sensor” approach based on dynamic gray-box modeling is proposed. The soft sensor involves a nonlinear finite impulse response model with adaptable linear parameters for real-time prediction of the melt viscosity based on the process inputs; the model output is then used as an input of a model with a simple-fixed structure to predict the barrel pressure which can be measured online. Finally, the predicted pressure is compared to the measured value and the corresponding error is used as a feedback signal to correct the viscosity estimate. This novel feedback structure enables the online adaptability of the viscosity model in response to modeling errors and disturbances, hence producing a reliable viscosity estimate. The experimental results on different material/die/extruder confirm the effectiveness of the proposed “soft sensor” method based on dynamic gray-box modeling for real-time monitoring and control of polymer extrusion processes.
History
Publication status
- Published
Journal
Polymer Engineering and ScienceISSN
0032-3888Publisher
John Wiley & SonsExternal DOI
Issue
6Volume
52Page range
1332-1341Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2017-07-17Usage metrics
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