Artificial intelligence-based approach for cluster identification in a CFB riser-Reference-Cited by-同舟云学术

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Artificial intelligence-based approach for cluster identification in a CFB riser

Published:2023-03 Issue: Volume:268 Page:118379
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Wang Tianyu,Deng Aiming,He Yurong,Wu Bin,Gao Runzhe,Tang Tianqi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference48 articles.

1. Fluid mechanical description of fluidized beds. equations of motion;Anderson;Ind. Eng. Chem. Fundam.,1967

2. An analysis of clustering flows in a CFB riser;Breault;Powder Technol.,2012

3. Cluster particle number and granular temperature for cork particles at the wall in the riser of a CFB;Breault;Powder Technol.,2005

4. Investigations on Mesoscale Structure in Gas-Solid Fluidization and Heterogeneous Drag Model;Chen,2016

5. Cluster characteristics of continuous size distributions and binary mixtures of Group B particles in dilute riser flow;Chew;Chem. Eng. J.,2011

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1. Identification and characterization of particle clusters in fluidized beds via image processing technique: Method development and assessment;Chemical Engineering Science;2024-09

2. Machine Learning Assisted Characterization of Local Bubble Properties and Its Coupling with the EMMS Bubbling Drag;Industrial & Engineering Chemistry Research;2024-03-04

3. Coupling particle image velocimetry and digital image analysis to characterize cluster dynamics in a fast fluidized bed;Powder Technology;2024-02

4. Passive method of clusters regulation using internal rings in fluidized bed risers;Advanced Powder Technology;2024-02

5. AI Prediction of H₂ Production in a Biomass Supercritical Water Gasification Fluidized Bed under Pulsating Inlets;Industrial & Engineering Chemistry Research;2023-08-17

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