CLASSIFICATION OF FLOW PATTERNS IN TWO PHASE FLOW BY NEURAL NETWORK

1991 ◽  
pp. 1617-1620 ◽  
Author(s):  
Norio BABA ◽  
Yoshiyuki YAMASHITA ◽  
Yasuhiro SHIRAISHI
2021 ◽  
Author(s):  
I. Urbina-Salas ◽  
E. E. Vazquez-Ramirez ◽  
E. Garcia-Sanchez ◽  
E. D. Martinez-Rodriguez ◽  
L. Garcia-Garcia ◽  
...  

2012 ◽  
Vol 250 ◽  
pp. 592-599 ◽  
Author(s):  
R.N. de Mesquita ◽  
P.H.F. Masotti ◽  
R.M.L. Penha ◽  
D.A. Andrade ◽  
G. Sabundjian ◽  
...  

1987 ◽  
Vol 59 (1-6) ◽  
pp. 325-331 ◽  
Author(s):  
YOSHIYUKI YAMASHITA ◽  
SHIGERU MATSUMOTO ◽  
MUTSUMI SUZUKI

Author(s):  
R. Mosdorf ◽  
G. Litak ◽  
G. Górski ◽  
J. Augustyniak ◽  
I. Zaborowska

AbstractThe two-phase flow patterns (air–water) in horizontal square minichannel (3 × 3 mm) has been analysed. The multifractal analysis of pressure drop fluctuations was used for qualitative assessment of two-phase flow patterns. The results of the complexity analysis using the multifractal spectral width (Δh) are presented. The proposed method allows us to identify the following two-phase flow patterns: micro-bubbles flow, micro- and minibubbles flow, micro- and mini-bubbles with confined bubbles flow, slug flow, stratified flow. The obtained results confirm that this type of analysis can be considered as an alternative way of identification of two-phase flow patterns in the minichannel. The work also focuses on the discussion of the occurrence and identification of bubbles churns in slugs and churns.


Author(s):  
Devesh K. Jha ◽  
Asok Ray ◽  
Kushal Mukherjee ◽  
Subhadeep Chakraborty

This paper presents a methodology for classification of two-phase flow patterns in fluid systems, which takes the measurements of an in situ ultrasonic sensor as inputs. In contrast to the common practice of having an array of ultrasonic detectors, the underlying algorithm requires only a single sensor hardware in combination with an integrated software of signal conditioning, feature extraction, and pattern classification. The proposed method is noninvasive and can be implemented in a variety of industrial applications (e.g., petrochemical processes and nuclear power plants). This concept of flow pattern classification is experimentally validated on a laboratory test apparatus.


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