Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Numerical simulation of pipeline ultrasonic cavitation based on CFD

Authors
Zhihua Wang, Hehui Wang, Chaoping Wang, Chunhui Fu, Pangu Lu
Corresponding Author
Zhihua Wang
Available Online April 2016.
DOI
10.2991/ameii-16.2016.118How to use a DOI?
Keywords
ultrasonic cavitation, descaling, CFD, Fluent.
Abstract

Cavitation effect is one of the main mechanisms of ultrasonic descaling. Through the mixture model and the cavitation model in Fluent, the ultrasonic cavitation field in the pipe is simulated. The simulated distributions of pressure field and variation of vapor are analyzed and discussed. This study shows that the CFD simulation is available to be used to predict the ultrasonic cavitation and it will be helpful for research of ultrasonic cavitation.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.118
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.118How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhihua Wang
AU  - Hehui Wang
AU  - Chaoping Wang
AU  - Chunhui Fu
AU  - Pangu Lu
PY  - 2016/04
DA  - 2016/04
TI  - Numerical simulation of pipeline ultrasonic cavitation based on CFD
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 591
EP  - 594
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.118
DO  - 10.2991/ameii-16.2016.118
ID  - Wang2016/04
ER  -