Paper
13 October 2008 Improved void fraction measurement by flow regime identification for gas liquid two-phase flows
Chunguo Jing, Quiguo Bai, Bin Liu
Author Affiliations +
Abstract
The gamma ray scattering energy spectrum detected by one detector was presented to distinguish the gas liquid two-phase flow regime of vertical pipe. The simulation geometries of the gamma ray scattering measurement were built using Monte Carlo software Geant4. Computer simulations were carried out with homogeneous flow, annular flow and slug flow. The results show that the scattering energy characters of homogeneous flow and annular flow have significantly different. The scattering spectrum of slug flow has a little similar to homogeneous flow or annular flow while gas slug exists too short or too long in measuring cycle. The RBF neural networks were used to predict the flow regime. The results show that the homogeneous flow and annular flow can be completely distinguished and the mostly slug flows were exactly recognized by the neural network. It is demonstrated that the method of one detector scattering energy spectrum has the ability to identify the typical gas liquid flow regime of vertical pipe and fit the applications in engineering. The void fraction precision was improved by the flow regime compensation.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunguo Jing, Quiguo Bai, and Bin Liu "Improved void fraction measurement by flow regime identification for gas liquid two-phase flows", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71281M (13 October 2008); https://doi.org/10.1117/12.806725
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Scattering

Sensors

Neural networks

Liquids

Monte Carlo methods

Gamma radiation

Scatter measurement

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