Computational Fluid Dynamics (CFD)- Deep Neural Network (DNN) Model to Predict Hydrodynamic Parameters in Rectangular and Cylindrical Bubble Columns-Reference-Cited by-同舟云学术

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Computational Fluid Dynamics (CFD)- Deep Neural Network (DNN) Model to Predict Hydrodynamic Parameters in Rectangular and Cylindrical Bubble Columns

Published:2024-09 Issue: Volume: Page:100185
ISSN:2772-5081
Container-title:Digital Chemical Engineering
language:en
Short-container-title:Digital Chemical Engineering

Author:

Dhakane Vishal,Mishra Praneet,Yadav Ashutosh

Funder

Science and Engineering Research Board

Publisher

Elsevier BV

Reference55 articles.

1. CFD simulation of bubble columns incorporating population balance modeling;Bhole;Chem Eng Sci,2008

2. Computational Modeling of Multiphase Reactors;Joshi;Annu Rev Chem Biomol Eng,2015

3. R. Krishna, A Scale-up Strategy for a Commercial Scale Bubble Column Slurry Reactor for Fischer-Tropsch Synthesis, 2000.

4. CFD predictions for flow-regime transitions in bubble columns;Monahan;AIChE Journal,2005

5. Scale up of slurry bubble reactors;Forret;Oil and Gas Science and Technology,2006

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