Multiple‐Output Artificial Neural Network to Estimate Solid Cycle Times in Conical Spouted Beds
Author:
Affiliation:
1. University of the Basque Country Department of Chemical Engineering P.O. Box 644 48080 Bilbao Spain
2. Federal University of São Carlos Department of Chemical Engineering Rod. Washington Luís, km 235, P.O. Box 676 13565-905 São Carlos SP Brazil
Funder
Ministerio de Economía y Competitividad
Ministerio de Ciencia e Innovación
Publisher
Wiley
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ceat.202000491
Reference36 articles.
1. Non-spherical solid-non-Newtonian liquid fluidization and ANN modelling: Minimum fluidization velocity
2. Effect of draft tube geometry on pressure drop in draft tube conical spouted beds
3. New operation regimes in fountain confined conical spouted beds
4. Particle Cycle Times and Solid Circulation Rates in Conical Spouted Beds with Draft Tubes of Different Configuration
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2. Bed symmetry in the fountain confined conical spouted beds with open-sided draft tubes;Powder Technology;2022-02
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