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Numerical study on mixing flow behavior in gas-liquid ejector

journal contribution
posted on 2024-11-02, 21:00 authored by Xiaodong Wang, He Li, Jingliang DongJingliang Dong, Jiaqi Wu, Jiyuan TuJiyuan Tu
A multiphase mathematic model based on realizable k-ε turbulence model for subsonic flow was presented to investigate the mixing flow behaviors between gas and water in the gas-liquid ejector. The simulation was carried out to predict the pumping performance of the ejector by a commercial computational code ANSYS-FLUENT 15.0. General agreements between the predicted results and experimental data validated the present theoretical model. Using the present approach, the pressure, velocity, and turbulence intensity distribution along center-line and contours of gas and liquid volume fraction profiles were predicted. It is found that the mixing process between gas and water in ejector can be divided into three periods, co-axial flow, mixing shock flow, and bubble flow. The prediction results show that the mixing shock is a dominant position in affecting the mixing flow behavior in gas-liquid ejector and the ejector’s performances.

Funding

A Multiscale Modelling Platform for Nanoparticle Inhalation Risk Assessment

Australian Research Council

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History

Journal

Experimental and Computational Multiphase Flow

Volume

3

Issue

2

Start page

108

End page

112

Total pages

5

Publisher

Springer

Place published

Singapore

Language

English

Copyright

© Tsinghua University Press 2020

Former Identifier

2006118232

Esploro creation date

2023-01-30

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