Identification of flow regime in a bubble column reactor with a combination of optical probe data and machine learning technique-Reference-Cited by-同舟云学术

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Identification of flow regime in a bubble column reactor with a combination of optical probe data and machine learning technique

Published:2019-05 Issue: Volume:2 Page:100023
ISSN:2590-1400
Container-title:Chemical Engineering Science: X
language:en
Short-container-title:Chemical Engineering Science: X

Author:

Manjrekar Onkar N.,Dudukovic Milorad P.

Funder

Slurry Bubble Column Consortium [SBCR-CAE]

Eni [Italy]

Washington University

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference73 articles.

1. Bubble columns, hydrodynamics of gas-liquid reactors;Azzopardi;John Wiley Sons Ltd,2011

2. The effect of aspect ratio in counter-current gas-liquid bubble columns: experimental results and gas holdup correlations;Besagni;Int. J. Multiph. Flow,2017

3. The effect of electrolyte concentration on counter-current gas–liquid bubble column fluid dynamics: gas holdup, flow regime transition and bubble size distributions;Besagni;Chem. Eng. Res. Des.,2017

4. Dynamic data-driven modeling of pharmaceutical processes;Boukouvala;Ind. Eng. Chem. Res.,2011

5. Flow structure in a three-dimensional bubble column and three-phase fluidized bed;Chen;AIChE J.,1994

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