On the liquid turbulence energy spectra in two-phase bubbly flow in a large diameter vertical pipe

2007 ◽  
Vol 33 (3) ◽  
pp. 300-316 ◽  
Author(s):  
M.E. Shawkat ◽  
C.Y. Ching ◽  
M. Shoukri
2018 ◽  
Vol 187 ◽  
pp. 377-390 ◽  
Author(s):  
Rajab Omar ◽  
Buddhika Hewakandamby ◽  
Abdelwahid Azzi ◽  
Barry Azzopardi

2008 ◽  
Vol 81 (2) ◽  
pp. 205-211 ◽  
Author(s):  
Mamdouh Shoukri ◽  
Ibrahim Hassan ◽  
Ihab Gerges

2012 ◽  
Vol 11 (2) ◽  
pp. 117
Author(s):  
PRIYO HERU ADIWIBOWO

Multi-phase flows are widely encountered in several engineering and industrial facilities, such as conventional steam power  plants, evaporators and condensers, pressurized-water nuclear reactors, a wide variety of petroleum industries, chemicals and  food processing industries. Surely, in the complex pipeline  installation of these systems, vertical pipe will be commonly  used for pipe connection. The purpose of this work is to investigate the flow pattern of gas-liquid two phase in the vertical pipe. Experiments will be performed in a 36 mm ID  acrylic pipe vertical. Superifical liquid velocities and volumetric gas quality will be varied 0.3~1,1 m/s and 0.05~0.2 respectively. Digital camera will be used for flow pattern  visualization in the vertical pipe. It was observed that effect of vertical pipe on flow pattern formed cluster bubbly flow for low volumetric gas quality with high superifical liquid velocities. For  superifical liquid velocities with medium volumetric gas quality formed homogeneous bubbly flow and high volumetric gas quality is dense bubbly flow.


Author(s):  
Wongsakorn Wongsaroj ◽  
Hideharu Takahashi ◽  
Natee Thong-Un ◽  
Hiroshige Kikura

This study proposes an ultrasonic velocity profiler (UVP) with a single ultrasonic gas-liquid two-phase separation (SUTS) technique to measure the velocity distribution of vapor-liquid boiling bubbly flow. The proposed technique is capable of measuring the velocity of the vapor bubble and liquid separately in boiling conditions. To confirm the viability of the measurement technique, the experiment is conducted on vertical pipe flow apparatus. The ultrasonic transmission and effect of ultrasonic refraction through the pipe wall and water are investigated at ambient temperature until subcooled boiling temperature is reached. The velocity profile in the water at elevated temperature is measured to verify the ability of the technique in this application. The bubbly flow velocity distribution measurement in boiling conditions is then demonstrated. The results show that the proposed technique can effectively investigate the velocity of both phases under various fluid conditions in boiling bubbly flow.


1996 ◽  
Vol 10 (4) ◽  
pp. 389-396 ◽  
Author(s):  
Tadashi SAKAGUCHI ◽  
Hiroki IJIRI ◽  
Masayuki TABASAKI ◽  
Hideaki SHAKUTSUI

2001 ◽  
Vol 2001 (0) ◽  
pp. 393-394
Author(s):  
Yuichi KONDO ◽  
Sigeo HOSOKAWA ◽  
Rentarou KANZAWA ◽  
Akio TOMIYAMA

Author(s):  
Pravin Sawant ◽  
Joshua Schelegel ◽  
Sidharth Paranjape ◽  
Basar Ozar ◽  
Takashi Hibiki ◽  
...  

Air-water vertical two-phase flow experiments were performed in a 0.15 m diameter and 4.4 m long test section. Superficial liquid velocity was varied from 0.05 m/s to 2.0 m/s and superficial gas velocity was varied to obtain the area averaged void fraction range of 0.1 to 0.7. Exit pressure was close to the atmospheric pressure. In order to study the development of flow structure over the length of test section, area averaged void fraction was measured using impedance meters at four different measuring ports. Pressure drop was also measured between these ports. Since the temporal variation of void fraction signal obtained from the impedance meter and its distribution are characteristic of the flow regime, a Cumulative Probability Distribution Function (CPDF) of the void fraction signal was utilized for the identification of flow regime at each port. The CPDFs of the impedance probe void fraction signal were supplied as an input to the Kohonen Self Organized neural network or the Self Organized Map (SOM) for the identification of the patterns by employing self organized neural network technique. The three flow regimes identified by the neural network are subjectively named as bubbly flow, cap-bubbly flow and cap-turbulent flow.


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