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Methods for the Self-integration of Megamolecular Biopolymers on the Drying Air-LC Interface

Methods for the Self-integration of Megamolecular Biopolymers on the Drying Air-LC Interface

Published on: April 7, 2017

Model-Guided Development of a Semi-Continuous Drying Process.

Anthony Grelier¹, Matej Zadravec², Johan Remmelgas²

¹UCB Pharma S.A, Allée de La Recherche, 60 1070, Brussels, Belgium.

Pharmaceutical Research

|August 16, 2022

Summary

Variability in drying times within a pharmaceutical continuous manufacturing line was investigated. Computational fluid dynamics (CFD) simulations identified the air inlet design as a key factor impacting temperature distribution and drying performance across different cells.

Keywords:

computational fluid dynamics simulation process variability investigation semi-continuous fluid bed drying

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Area of Science:

Pharmaceutical Manufacturing
Process Engineering
Fluid Dynamics

Background:

The ConsiGma® CTL25 wet granulation and tableting line is widely adopted in pharmaceutical continuous manufacturing.
The semi-continuous six-segmented fluid bed dryer within this line is crucial for production.
Observed repeatable patterns in drying times indicate variability in drying performance across the dryer's cells.

Purpose of the Study:

To understand the root cause of drying performance variability in the six-segmented fluid bed dryer.
To investigate the factors contributing to uneven drying times between different cells.

Main Methods:

Experimental measurements of air temperature and airflow velocity in an empty dryer across its six cells.
Interpretation of experimental data using computational fluid dynamics (CFD) simulations.

Main Results:

CFD simulations identified the air inlet design as a significant factor influencing temperature distribution within the dryer cells.
The simulations correlated with experimental observations regarding temperature differences between cells.

Conclusions:

CFD simulations provide valuable insights into equipment performance variability, aiding process development and engineering decisions.
While not predicting exact temperatures, simulations accurately reflected observed trends, highlighting their utility in troubleshooting.