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Predicting the particle size distribution in twin...
Journal article

Predicting the particle size distribution in twin screw granulation through acoustic emissions

Abstract

A non-destructive process analytical technology for monitoring the complex particle size distributions inherent to twin screw granulation (TSG) was presented, based on acoustic emissions (AE). AE spectra were collected during the wet granulation of lactose monohydrate at different liquid to solid ratios from 8 to 14% and correlated with the particle size distributions (PSD) to train a neural network model. Predicted PSD for particle sizes from …

Authors

Abdulhussain HA; Thompson MR

Journal

Powder Technology, Vol. 394, , pp. 757–766

Publisher

Elsevier

Publication Date

December 2021

DOI

10.1016/j.powtec.2021.08.089

ISSN

0032-5910