Image-based prediction of granular flow behaviors in a wedge-shaped hopper by combing DEM and deep learning methods-Reference-Cited by-同舟云学术

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Image-based prediction of granular flow behaviors in a wedge-shaped hopper by combing DEM and deep learning methods

Published:2021-05 Issue: Volume:383 Page:159-166
ISSN:0032-5910
Container-title:Powder Technology
language:en
Short-container-title:Powder Technology

Author:

Liao Zhehan,Yang Yizhang,Sun Chengfeng,Wu Ruiqi,Duan Ziheng,Wang Yueyang,Li Xipeng,Xu Jian

Funder

Natural Science Foundation of Chongqing

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference52 articles.

1. Molecular dynamics simulation of granular flows: slip along rough inclined planes;Zheng;Comput. Mech.,1998

2. Measuring the flow properties of consolidated, conditioned and aerated powders — A comparative study using a powder rheometer and a rotational shear cell;Freeman;Powder Technol.,2007

3. DEM simulation of particle size segregation behavior during charging into and discharging from a Paul-Wurth type hopper;Wu;Chem. Eng. Sci.,2013

4. Numerical investigation of the effects of size segregation on pulverized coal combustion in a blast furnace;Wu;Powder Technol.,2019

5. Effect of dynamic properties on density-driven granular segregation in a rotating drum;Liao;Powder Technol.,2019

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