Calibration and Verification of Dynamic Particle Flow Parameters by the Back-Propagation Neural Network Based on the Genetic Algorithm: Recycled Polyurethane Powder

Calibration and Verification of Dynamic Particle Flow Parameters by the Back-Propagation Neural Network Based on the Genetic Algorithm: Recycled Polyurethane Powder

The discrete element method (DEM) is commonly used to study various powders in motion during transportation, screening, mixing, etc.; this requires several microscopic parameters to characterize the complex mechanical behavior of the particles. Herein, a new discrete element parameter calibration me...

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Bibliographic Details
Main Authors: Ping He, Yiwei Fan, Banglong Pan, Yinfeng Zhu, Jing Liu, Darong Zhu
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Materials
Subjects:
discrete element method
ultrafine agglomerated powder
dynamic angle of repose
predictive model
mean-shift clustering analysis
Online Access:https://www.mdpi.com/1996-1944/12/20/3350

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https://www.mdpi.com/1996-1944/12/20/3350

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