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Model‐based measurement of particle size distributions in layering granulation processes
Author(s) -
Bück Andreas,
Peglow Mirko,
Tsotsas Evangelos,
Mangold Michael,
Kienle Achim
Publication year - 2011
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.12314
Subject(s) - layering , granulation , kalman filter , particle filter , particle size distribution , particle (ecology) , work (physics) , square root , distribution (mathematics) , biological system , statistical physics , particle size , computer science , mathematics , engineering , statistics , physics , mechanical engineering , geology , mathematical analysis , chemical engineering , geometry , biology , botany , oceanography , geotechnical engineering
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