Modeling, sensitivity analysis and parameter identification of a twin screw extruder

Grimard, Jonathan; Dewasme, Laurent; Thiry, Justine; Krier, Fabrice; Evrard, Brigitte; Vande Wouwer, Alain

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Modeling, sensitivity analysis and parameter identification of a twin screw extruder

Grimard, Jonathan; Dewasme, Laurent; Thiry, Justine et al.

2016 • 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems

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Research Center/Unit :

Centre Interfacultaire de Recherche du Médicament - CIRM

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Grimard, Jonathan; Université de Mons-Hainaut - UMH > Biosys

Dewasme, Laurent; Université de Mons-Hainaut - UMH > Biosys

Thiry, Justine ; Université de Liège > Département de pharmacie > Pharmacie galénique

Krier, Fabrice; Université de Liège - ULiège > Pharmacie > Pharmacie Galénique

Evrard, Brigitte ; Université de Liège > Département de pharmacie > Pharmacie galénique

Vande Wouwer, Alain; Université de Mons-Hainaut - UMH > Biosys

Language :

English

Title :

Modeling, sensitivity analysis and parameter identification of a twin screw extruder

Publication date :

June 2016

Event name :

11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems

Event date :

du 6 juin 2016 au 8 juin 2016

References of the abstract :

Following the recent success of hot-melt extrusion in the pharmaceutical field, monitoring and control are increasingly applied. In this study, a mathematical model consisting of mass and energy balance partial differential equations is developed and parameters related to material transportation are inferred from experimental data collected from a pilot plant. This data is relative to the output residence time distribution of active product. Parameter identification is complemented by a parametric sensitivity analysis and the computation of confidence intervals. Direct and cross-validation results demonstrate the good predictive capability of the model, which could probably be exploited for model-based control at a next stage.

Available on ORBi :

since 18 June 2016

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