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Modeling Multiphase Heat and Mass Transfer in an Agitated Filter Dryer by Integrating Experiment, Computations, and
Viraj V Belekar1, Eric J Murphy2, Theodore J Heindel1
1Center for Multiphase Flow Research and Education and Department of Mechanical Engineering, Iowa State University, Ames, IA, 50011, USA.
Pharmaceutical Research
|October 3, 2022
Summary
This study enhances understanding of pharmaceutical wet cake drying in agitated filter-dryers. A novel zero-dimensional model integrates CFD and analytical solutions to accurately predict drying behavior and key parameters for process optimization.
Area of Science:
- Chemical Engineering
- Pharmaceutical Manufacturing
- Process Intensification
Background:
- Drying of active pharmaceutical ingredients (APIs) in agitated filter-dryers is crucial but complex.
- Product quality is affected by physical properties and residual solvent content.
- Optimizing drying protocols is essential for efficient pharmaceutical production.
Purpose of the Study:
- To develop a deeper understanding of the drying mechanism in agitated filter-dryers.
- To integrate advanced modeling techniques for accurate prediction of drying dynamics.
- To identify key parameters for effective drying protocol design.
Main Methods:
- Integration of 3D analytical solutions and Computational Fluid Dynamics (CFD) simulations.
- Development and application of a zero-dimensional (0D) model.
- Validation against experimental data for accuracy.
Main Results:
- The 0D model accurately predicts the time evolution of solvent mass flow rate and cake center-point temperature.
- Identified the mass transfer rate number to distinguish convection-controlled vs. diffusion-controlled drying.
- Quantified the thermal load of vaporization for estimating solvent vaporization rate.
Conclusions:
- The integrated modeling approach provides significant insights into the drying process.
- The identified parameters (mass transfer rate number, thermal load of vaporization) are valuable for optimizing drying protocols.
- This work contributes to improved control and efficiency in pharmaceutical drying operations.
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