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Computational Fluid Dynamics data for improving freeze-dryers design
Antonello A Barresi1, Daniele L Marchisio1
1Politecnico di Torino, Department of Applied Science and Technology, C.so Duca degli Abruzzi 24, I-10129 Torino, Italy.
Data in Brief
|September 20, 2018
Summary
Computational Fluid Dynamics (CFD) simulations optimize industrial freeze-drying equipment design. This study provides data on chambers, ducts, and valves for improved apparatus performance and monitoring device evaluation.
Area of Science:
- Chemical Engineering
- Fluid Dynamics
- Process Design
Background:
- Industrial freeze-drying equipment design requires accurate simulation of complex fluid dynamics.
- Understanding the behavior of chambers, ducts, and valves is crucial for optimizing performance.
Purpose of the Study:
- To utilize Computational Fluid Dynamics (CFD) for simulating and improving the design of industrial freeze-drying equipment.
- To provide simulation data for various components, including chambers, ducts, valves, and condensers.
Main Methods:
- Detailed CFD simulations were performed on pilot and large-scale freeze-drying apparatus.
- Analysis included empty duct conductance, disk valves, and mushroom valves with varying geometries.
- Dynamic simulations were conducted to assess monitoring device performance.
Main Results:
- Velocity, pressure, temperature, and composition fields were mapped on selected planes for chambers and valves.
- Data on duct conductance and valve performance under different conditions were presented.
- Simulation results offer insights into the operational behavior of freeze-drying systems.
Conclusions:
- CFD simulations provide valuable data for the improved design of industrial freeze-drying equipment.
- The study demonstrates the utility of CFD in understanding and optimizing freeze-dryer components and performance.
- Further interpretation of data is available in related research articles.
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