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CFD and ML for Bubble Column Dynamics by deepak078140 is a document available to read on EtoBox.

What is CFD and ML for Bubble Column Dynamics about?

The study focuses on improving the prediction of flow dynamics in gas-liquid and slurry bubble columns using Computational Fluid Dynamics (CFD) coupled with Machine Learning (ML) techniques. It involves setting up CFD simulations to analyze hydrodynamics and developing deep neural network models for real-time predictions of key parameters. Additionally, experimental data-driven ML algorithms were created to estimate gas holdup under various operating conditions, including a case study on the Fisher-Tropsch

Author

deepak078140

Language

EN