Optimization of Dual-Impeller Configurations in a Gas–Liquid Stirred Tank Based on Computational Fluid Dynamics and Multiobjective Evolutionary Algorithm-Reference-Cited by-同舟云学术

Optimization of Dual-Impeller Configurations in a Gas–Liquid Stirred Tank Based on Computational Fluid Dynamics and Multiobjective Evolutionary Algorithm

Published:2016-08-12 Issue:33 Volume:55 Page:9054-9063
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Chen Miaona¹,Wang Jiajun¹,Zhao Siwei¹,Xu Chaozhong¹,Feng Lianfang¹

Affiliation:

1. State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, PR China

Funder

Ministry of Education of the People's Republic of China

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.6b01660

Reference28 articles.

1. CFD simulation of gas–liquid stirred vessel: VC, S33, and L33 flow regimes

2. Optimizing the impeller combination for maximum hold-up with minimum power consumption

3. Effect of Blade Shape on the Performance of Six-Bladed Disk Turbine Impellers

4. Gas hold-up, mixing time and gas–liquid volumetric mass transfer coefficient of various multiple-impeller configurations: Rushton turbine, pitched blade and techmix impeller and their combinations

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