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|Title: ||Efficient crystal size distribution estimation approach for growth dominated crystallisation processes|
|Authors: ||Aamir, Erum|
Nagy, Zoltan K.
Rielly, Chris D.
|Issue Date: ||2008|
|Citation: ||AAMIR, E. ... et al, 2008. Efficient crystal size distribution estimation approach for growth dominated crystallisation processes. 17th International Symposium on Industrial Crystallization, September 14th-17th, Maastricht, The Netherlands.|
|Abstract: ||The paper presents a novel methodology for the estimation of the shape of crystal size distribution
(CSD) during crystallization processes. The approach is based on the combination of quadrature
method of moment (QMOM) and method of characteristics (MOCH). The computationally efficient
solution of the population balance equation allows the fast prediction of the dynamic evolution of
the CSD for the entire batch. Furthermore, under the assumption that for supersaturation
controlled crystallization the main phenomenon is growth, an analytical CSD estimator is derived
for generic size dependent growth kinetics. The approaches are evaluated for the crystallization of
potassium alum in water. The model parameters are identified based on industrial experimental
data, obtained using an efficient implementation of supersaturation control. The proposed
approach is able to predict and reconstruct the dynamic evolution of the CSD during the batch.
The technique can serve as a soft sensor for predicting CSD or as a computationally efficient
algorithm for off-line design or on-line adaptation of operating policies based on full CSD data.|
|Description: ||This is a conference paper. It was presented at ISIC 17.|
|Appears in Collections:||Conference Papers and Presentations (Chemical Engineering)|
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