The publications of the members of the research group.
2024
Diego Caccavo; Gaetano Lamberti; Anna Angela Barba
Analysis and simulation of wet-granulation processes Journal Article
In: Journal of the Taiwan Institute of Chemical Engineers, vol. 159, no. 105455, 2024.
Abstract | Links | BibTeX | Tags: Dynamic image analysis, Modeling, Particle size distribution, Population balance equation, Wet-granulation
@article{Caccavo2024,
title = {Analysis and simulation of wet-granulation processes},
author = {Diego Caccavo and Gaetano Lamberti and Anna Angela Barba},
url = {https://doi.org/10.1016/j.jtice.2024.105455},
year = {2024},
date = {2024-03-22},
journal = {Journal of the Taiwan Institute of Chemical Engineers},
volume = {159},
number = {105455},
abstract = {Size enlargement by wet-granulation is one of the most important unit operation in several industrial fields: pharmaceutics, food processing, animal nutrition, agronomics, and so on. A lot of techniques have been used in order to measure the particle size distributions (PSD) and a few different approaches are available to model the PSD evolution during the process, mainly based on population balance equations (PBE). However, difficulties in both the activities (reliable measurement and robust modeling) have hindered their diffusion in industrial practice, keeping the granulation closer to an art than to a science.},
keywords = {Dynamic image analysis, Modeling, Particle size distribution, Population balance equation, Wet-granulation},
pubstate = {published},
tppubtype = {article}
}
Size enlargement by wet-granulation is one of the most important unit operation in several industrial fields: pharmaceutics, food processing, animal nutrition, agronomics, and so on. A lot of techniques have been used in order to measure the particle size distributions (PSD) and a few different approaches are available to model the PSD evolution during the process, mainly based on population balance equations (PBE). However, difficulties in both the activities (reliable measurement and robust modeling) have hindered their diffusion in industrial practice, keeping the granulation closer to an art than to a science.