A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions
Wet granulation is a frequent process in the pharmaceutical industry. As a starting point for numerous dosage forms, the quality of the granulation not only affects subsequent production steps but also impacts the quality of the final product. It is thus crucial and economical to monitor this operat...
Saved in:
Main Authors: | Ruwen Fulek (Author), Selina Ramm (Author), Christian Kiera (Author), Miriam Pein-Hackelbusch (Author), Ulrich Odefey (Author) |
---|---|
Format: | Book |
Published: |
MDPI AG,
2023-08-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation
by: Selina Ramm, et al.
Published: (2022) -
Acoustic Emission
Published: (2012) -
Acoustic Emission Research and Applications
Published: (2013) -
Acoustic Emission New Perspectives and Applications
Published: (2022) -
Complete Cocrystal Formation during Resonant Acoustic Wet Granulation: Effect of Granulation Liquids
by: Ryoma Tanaka, et al.
Published: (2021)