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Model‐based measurement of particle size distributions in layering granulation processes
Authors:Andreas Bück  Mirko Peglow  Evangelos Tsotsas  Michael Mangold  Achim Kienle
Affiliation:1. Chair of Thermal Process Engineering, Otto‐von‐Guericke University, Universit?tsplatz 2, 39106 Magdeburg, Germany;2. Max‐Planck‐Institut für Dynamik komplexer technischer Systeme, Sandtorstra?e 1, 39016 Magdeburg, Germany;3. Chair of Automation/Modeling, Otto‐von‐Guericke University, Universit?tsplatz 2, 39106 Magdeburg, Germany
Abstract:In this work, we present a method for the online estimation of particle size distributions in layering granulation processes using a methodology known as model‐based measurement or state estimation. After presenting the necessary model equations for two practically relevant processes it is investigated which quantities of the processes have to be measured to estimate the size distribution. For the different processes square‐root unscented Kalman filters (SR‐UKF) are designed and tested in simulations to demonstrate the feasibility of this approach. © 2010 American Institute of Chemical Engineers AIChE J, 2011
Keywords:process systems engineering  state estimation  population balance models  granulation  fluidized bed
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