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Particle-level residence time data in a twin-screw feeder.
Peter Toson1, Johannes G Khinast1,2
1Research Center Pharmaceutical Engineering (RCPE), Inffeldgasse 13, 8010, Graz, Austria.
Data in Brief
|November 14, 2019
Summary
This study simulated twin-screw feeder discharge using discrete element method (DEM) simulations. The resulting particle data enables analysis of material flow and optimization of continuous manufacturing processes.
Area of Science:
- Chemical Engineering
- Materials Science
- Process Engineering
Background:
- Continuous manufacturing relies on precise control of material flow.
- Twin-screw feeders are critical components in many industrial processes.
- Understanding particle discharge dynamics is essential for process optimization.
Purpose of the Study:
- To simulate the full discharge process of a twin-screw feeder using DEM.
- To provide particle data for analyzing material flow and residence time distributions (RTDs).
- To facilitate optimization of refill strategies and batch definition in continuous manufacturing.
Main Methods:
- Discrete Element Method (DEM) simulations were employed to model the feeder discharge.
- Particle data, including initial position, radius, and discharge time, were collected.
- Simulations were performed at three different initial feeder fill levels.
Main Results:
- Comprehensive particle discharge data is available in the Mendeley Data repository.
- The data allows for the generation of RTDs for arbitrary spatial regions within the feeder.
- Analysis of material flow patterns and discharge times was enabled.
Conclusions:
- The simulated DEM data provides a valuable resource for understanding twin-screw feeder behavior.
- This data can be used to enhance process control and efficiency in continuous manufacturing.
- Further analysis can lead to improved feeder design and operational strategies.
