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