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Parameter calibration of discrete element model for gluten densification molding
Zongyou Ben1,2, Xiao Sun2, Yu Bai2
1College of Engineering, Nanjing Agricultural University, Nanjing, China.
Journal of Food Science
|May 6, 2024
Summary
This study calibrated discrete element model parameters for gluten densification using physical tests and statistical methods. The validated model accurately simulates gluten particle behavior during densification, crucial for storage and transport.
Area of Science:
- Materials Science
- Chemical Engineering
- Food Science
Background:
- Powdered materials, like gluten, require densification for efficient storage and transportation.
- Accurate simulation of powder behavior is essential for process optimization.
Purpose of the Study:
- To calibrate discrete element model (DEM) parameters for gluten densification.
- To validate the calibrated DEM model against physical testing data.
Main Methods:
- Physical characterization of gluten particles (size distribution, density, angle of repose).
- Calibration of Hertz-Mindlin with JKR contact model parameters using Plackett-Burman, steepest ascent, and Box-Behnken tests.
- Simulation of angle of repose and densification, followed by validation.
Main Results:
- Identified significant factors for gluten densification: coefficient of rolling friction (1.038), coefficient of static friction (0.071), and surface energy (0.047).
- Achieved a low relative error of 0.52% between simulated and tested angle of repose.
- Demonstrated similarity between simulated and actual compression ratio and force curves.
Conclusions:
- The calibrated DEM model provides accurate predictions for gluten densification.
- The optimized parameters enhance the simulation of powder handling properties.
- This research supports improved design for gluten powder storage and transport systems.
