Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

Ultrasonic Radial Simulation Research of Solid Particle Distribution of Segregation Flow in Gas-solid Two Phase Flow

Authors
Yueming Wang, Guodong Yao, Yaoyao Zhang, Meng Liu, Pengcheng Ge
Corresponding Author
Yueming Wang
Available Online September 2017.
DOI
10.2991/amee-17.2017.12How to use a DOI?
Keywords
gas solid two phase flow; ultrasonic sensor; particle distribution; segregation flow; simulation
Abstract

for its application and universality, the research of gas-solid two-phase flow becomes popular, and an ultrasonic sensor is used to test gas- solid two -phase flow. By COMSOL software, a radial simulation model is set up to study particle distribution in radial section and their sensitivity. And also, the signals received by the ultrasonic sensor in different frequency and locations are analyzed. Thus, it is helpful to measure gas-solid two-phase flow in the ultrasonic method.

Copyright
© 2017, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
10.2991/amee-17.2017.12
ISSN
2352-5401
DOI
10.2991/amee-17.2017.12How to use a DOI?
Copyright
© 2017, 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  - Yueming Wang
AU  - Guodong Yao
AU  - Yaoyao Zhang
AU  - Meng Liu
AU  - Pengcheng Ge
PY  - 2017/09
DA  - 2017/09
TI  - Ultrasonic Radial Simulation Research of Solid Particle Distribution of Segregation Flow in Gas-solid Two Phase Flow
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
PB  - Atlantis Press
SP  - 61
EP  - 64
SN  - 2352-5401
UR  - https://doi.org/10.2991/amee-17.2017.12
DO  - 10.2991/amee-17.2017.12
ID  - Wang2017/09
ER  -