Characterization of Gas–Liquid Two-Phase Flow by Correlation Dimension of Vortex-Induced Pressure Fluctuation

IEEE Access

Jiawen Yin¹  Zhiqiang Sun¹  Saiwei Li¹  Sishi Huang¹  Tian Zhou¹ 

[1] School of Energy Science and Engineering, Central South University, Changsha, China;

关键词: Gas–liquid flow;    correlation dimension;    flow characterization;    vortex-induced pressure fluctuation;    artificial neural network;   

DOI  :  10.1109/ACCESS.2017.2713458

来源: DOAJ

【 摘 要 】

Characterization of flow behaviors is one of the most challenging problems in a gas-liquid flow system. In this paper, correlation dimension, a chaotic characteristic indicator, was introduced to characterize the gas-liquid two-phase flow behaviors by using the fluctuating pressure induced by a bluff body. An artificial neural network was trained to help select suitable flow parameters that were combined with correlation dimension to construct a novel gas-liquid flow pattern map, which was able to distinguish between the bubble, bubble/plug transitional, plug, slug, and annular flows with reasonable accuracy. Furthermore, a quantitative correlation with the form of u_g = AD₂^Bu^C was established by the universal fitting and the pattern-specific fitting with the coefficients of determination R² approaching to 1. In view of the simplicity and the convenience of vortex generation and pressure measurement, the correlation dimension-based method provides an effective and practical idea to gas-liquid two-phase flows study.

【 授权许可】

Unknown