The accurate prediction and analysis of bed expansion characteristics in liquid–solid fluidized bed based on machine learning methods-Reference-Cited by-同舟云学术

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The accurate prediction and analysis of bed expansion characteristics in liquid–solid fluidized bed based on machine learning methods

Published:2022-10 Issue: Volume:260 Page:117841
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Peng Jian,Sun Wei,Zhou Guangming,Xie Le,Han Haisheng,Xiao Yao

Publisher

Elsevier BV

Subject

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

Reference50 articles.

1. Numerical study of segregation using a new drag force correlation for polydisperse systems derived from lattice-Boltzmann simulations;Beetstra;Chem. Eng. Sci.,2007

2. Prediction of Bubble Sizes in Bubble Columns with Machine Learning Methods;Biessey;Chem. Ing. Tech.,2021

3. Fluid flow through packed columns;Ergun;Chem. Eng. Prog.,1952

4. A stochastic formulation for the drag force based on multiscale numerical simulation of fluidized beds;Esteghamatian;Int. J. Multiph. Flow,2018

5. Investigation of nonuniformity in a liquid–solid fluidized bed with identical parallel channels;Fan;AIChE J.,2010

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