Characterization of flow pattern transitions for horizontal liquid–liquid pipe flows by using multi-scale distribution entropy in coupled 3D phase space

2017 ◽  
Vol 469 ◽  
pp. 136-147 ◽  
Author(s):  
Lu-Sheng Zhai ◽  
Yan-Bo Zong ◽  
Hong-Mei Wang ◽  
Cong Yan ◽  
Zhong-Ke Gao ◽  
...  
Author(s):  
Qifan Li ◽  
Zhong Lan ◽  
Jiang Chun ◽  
Shijun Lian ◽  
Rongfu Wen ◽  
...  

2017 ◽  
Vol 241 ◽  
pp. 190-199 ◽  
Author(s):  
Ning Liu ◽  
Jialiang Zhou ◽  
Lujia Han ◽  
Shuangshuang Ma ◽  
Xiaoxi Sun ◽  
...  

Microbiome ◽  
2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Cervin Guyomar ◽  
Fabrice Legeai ◽  
Emmanuelle Jousselin ◽  
Christophe Mougel ◽  
Claire Lemaitre ◽  
...  

2018 ◽  
Vol 74 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Yuansheng He ◽  
Yingyu Ren ◽  
Yunfeng Han ◽  
Ningde Jin

AbstractThe present study is a report on the asymmetry of dispersed oil phase in vertical upward oil-water two phase flow. The multi-channel signals of the rotating electric field conductance sensor with eight electrodes are collected in a 20-mm inner diameter pipe, and typical images of low pattern are captured using a high speed camera. With the multi-channel rotating electric field conductance signals collected at pipe cross section, multi-scale time asymmetry (MSA) and an algorithm of multi-scale first-order difference scatter plot are employed to uncover the fluid dynamics of oil-water two phase flow. The results indicate that MSA can characterise the non-linear behaviours of oil-water two phase flow. Besides, the MSA analysis also beneficial for understanding the underlying inhomogeneous distribution of the flow pattern in different directions at pipe cross section.


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