Dynamic gray-box modeling for on-line monitoring of polymer extrusion viscosity

Liu, Xueqin, Li, Kang, McAfee, Marion, Nguyen, Bao Kha and McNally, Gerald (2012) Dynamic gray-box modeling for on-line monitoring of polymer extrusion viscosity. Polymer Engineering and Science, 52 (6). pp. 1332-1341. ISSN 0032-3888

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Abstract

Melt 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.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology
T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ0212 Control engineering systems. Automatic machinery (General)
Depositing User: Bao Kha Nguyen
Date Deposited: 17 Jul 2017 07:20
Last Modified: 17 Jul 2017 07:20
URI: http://sro.sussex.ac.uk/id/eprint/69282
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