Parameter calibration of the angle of repose of particle materials based on convolutional neural network-Reference-Cited by-同舟云学术

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Parameter calibration of the angle of repose of particle materials based on convolutional neural network

Published:2024-09 Issue: Volume:245 Page:152-163
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Long Sifang^ORCID,Zhang Yanjun,Kang Shuo,Li Boliao,Wang Jun^ORCID

Publisher

Elsevier BV

Reference37 articles.

1. A review on the angle of repose of granular materials;Al-Hashemi;Powder Technology,2018

2. PEPT validated CFD-DEM model of aspherical particle motion in a spouted bed;Che;Chemical Engineering Journal,2023

3. Fabric effect on the angle of repose in granular materials;Dai;Powder Technology,2022

4. Calibration of DEM material parameters to simulate stress-strain behaviour of unsaturated soils during uniaxial compression;De Pue;Soil and Tillage Research,2019

5. Fast and precise DEM parameter calibration for Cucurbita ficifolia seeds;Ding;Biosystems Engineering,2023

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