Process model of vibrating screen based on DEM and physics-informed machine learning-Reference-Cited by-同舟云学术

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Process model of vibrating screen based on DEM and physics-informed machine learning

Published:2022-09 Issue: Volume:410 Page:117869
ISSN:0032-5910
Container-title:Powder Technology
language:en
Short-container-title:Powder Technology

Author:

Arifuzzaman S.M.,Dong Kejun,Yu Aibing

Funder

University of Western Sydney

Industrial Technology Research Institute

Australian Research Council

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference68 articles.

1. DEM simulation of particle flow on a multi-deck banana screen;Dong;Miner. Eng.,2009

2. Modeling of particle flow and sieving behavior on a vibrating screen: from discrete particle simulation to process performance prediction;Dong;Ind. Eng. Chem. Res.,2013

3. Screening principles and applications;Wolff;Ind. Eng. Chem.,1954

4. Model of banana screen for robust performance;Asbjörnsson;Miner. Eng.,2016

5. Intelligent prediction of sieving efficiency in vibrating screens;Zhang;Shock. Vib.,2016

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1. Kinetic model of vibration screening for granular materials based on biological neural network;Particuology;2024-05

2. Effects of Pre-Stretching Amount on Motion Characteristics and Screening Efficiency of Flip-Flow Screen Plates;Minerals;2024-04-29

3. A Method for Stabilizing the Vibration Amplitude of a Flip-Flow Vibrating Screen Using Piecewise Linear Springs;Minerals;2024-04-16

4. Research on enhancement of screening performance of a novel drum screen based on the Discrete Element Method simulation;Powder Technology;2024-03

5. Laboratory-scale validation of a DEM model for the cross-screen processes of wet coals;Powder Technology;2024-01

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