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