Particle Movement in DEM Models and Artificial Neural Network for Validation by Using Contrast Points

Particle Movement in DEM Models and Artificial Neural Network for Validation by Using Contrast Points

The calibration and validation of input parameters in the Discrete Element Method (DEM) are crucial for accurately simulating physical processes, typically achieved through experimental particle behavior analysis. Enhancing the accuracy of DEM models allows for more reliable predictions of material...

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Bibliographic Details
Main Authors: Barbora Černilová, Jiří Kuře, Rostislav Chotěborský, Miloslav Linda
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Technologies
Subjects:
image analysis
smart agriculture
artificial neural networks
discrete element method
model validation
particulate matter
Online Access:https://www.mdpi.com/2227-7080/12/12/257
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