Role of centrifugal force on solid-liquid two-phase flow through rotating channel

2017 ◽  
Vol 17 (5) ◽  
pp. 326
Author(s):  
Pankaj K. Gupta
Keyword(s):  
Centrifugal Force ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Flow Through ◽  
Solid Liquid ◽  
Rotating Channel

scholarly journals Mass transfer between particles and liquid in solid-liquid two-phase flow through horizontal tubes.

1982 ◽  
Vol 15 (4) ◽  
pp. 311-313 ◽  
Author(s):  
HIROYASU OHASHI ◽  
TAKUO SUGAWARA ◽  
KEN-ICHI KIKUCHI ◽  
MORITO TAKEDA
Keyword(s):  
Mass Transfer ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Horizontal Tubes ◽  
Flow Through ◽  
Solid Liquid

scholarly journals Average particle velocity in solid-liquid two-phase flow through vertical and horizontal tubes.

1980 ◽  
Vol 13 (5) ◽  
pp. 343-349 ◽  
Author(s):  
HIROYASU OHASHI ◽  
TAKUO SUGAWARA ◽  
KEN-ICHI KIKUCHI ◽  
MICHIHITO ISE
Keyword(s):  
Particle Velocity ◽  
Two Phase Flow ◽  
Average Particle ◽  
Phase Flow ◽  
Two Phase ◽  
Horizontal Tubes ◽  
Flow Through ◽  
Solid Liquid

scholarly journals Characteristics of Liquid Mixing in Solid-Liquid Two-Phase Flow through a Horizontal Rotary Column.

1993 ◽  
Vol 19 (1) ◽  
pp. 106-113
Author(s):  
Yoshihiko Honda ◽  
Hiroshi Aoyama ◽  
Kiyotaka Okamoto ◽  
Seiji Kurosawa ◽  
Hiroshi Takahashi
Keyword(s):  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Liquid Mixing ◽  
Flow Through ◽  
Solid Liquid

scholarly journals ON THE PARTICLE VELOCITIES IN SOLID-LIQUID TWO-PHASE FLOW THROUGH STRAIGHT PIPES AND BENDS

1973 ◽  
Vol 6 (2) ◽  
pp. 140-146 ◽  
Author(s):  
MASAYUKI TODA ◽  
TOICHI ISHIKAWA ◽  
SHOZABVRO SAITO ◽  
SIRO MAEDA
Keyword(s):  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Flow Through ◽  
Particle Velocities ◽  
Solid Liquid

Pressure Drop for Oil-Gas Two-Phase Flow Through Straight Horizontal Pipe

2007 ◽  
Author(s):  
Wenhong Liu ◽  
Liejin Guo ◽  
Ximin Zhang ◽  
Kai Lin ◽  
Long Yang ◽  
...  
Keyword(s):  
Pressure Drop ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Horizontal Pipe ◽  
Flow Through ◽  
Oil Gas

Upward Vertical Two-Phase Flow Through an Annulus—Part II: Modeling Bubble, Slug, and Annular Flow

1992 ◽  
Vol 114 (1) ◽  
pp. 14-30 ◽  
Author(s):  
E. F. Caetano ◽  
O. Shoham ◽  
J. P. Brill
Keyword(s):  
Flow Pattern ◽  
Annular Flow ◽  
Two Phase Flow ◽  
Flow Behavior ◽  
Bubble Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Flow Through ◽  
Physical Phenomena ◽  
Good Agreement

Mechanistic models have been developed for each of the existing two-phase flow patterns in an annulus, namely bubble flow, dispersed bubble flow, slug flow, and annular flow. These models are based on two-phase flow physical phenomena and incorporate annulus characteristics such as casing and tubing diameters and degree of eccentricity. The models also apply the new predictive means for friction factor and Taylor bubble rise velocity presented in Part I. Given a set of flow conditions, the existing flow pattern in the system can be predicted. The developed models are applied next for predicting the flow behavior, including the average volumetric liquid holdup and the average total pressure gradient for the existing flow pattern. In general, good agreement was observed between the experimental data and model predictions.

scholarly journals Clustering-Based Component Fraction Estimation in Solid–Liquid Two-Phase Flow in Dredging Engineering

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5697
Author(s):  
Chang Sun ◽  
Shihong Yue ◽  
Qi Li ◽  
Huaxiang Wang
Keyword(s):  
Clustering Algorithm ◽  
Two Phase Flow ◽  
Low Cost ◽  
Fast Response ◽  
New Method ◽  
Phase Flow ◽  
Reference Distribution ◽  
Two Phase ◽  
Long Time ◽  
Solid Liquid

Component fraction (CF) is one of the most important parameters in multiple-phase flow. Due to the complexity of the solid–liquid two-phase flow, the CF estimation remains unsolved both in scientific research and industrial application for a long time. Electrical resistance tomography (ERT) is an advanced type of conductivity detection technique due to its low-cost, fast-response, non-invasive, and non-radiation characteristics. However, when the existing ERT method is used to measure the CF value in solid–liquid two-phase flow in dredging engineering, there are at least three problems: (1) the dependence of reference distribution whose CF value is zero; (2) the size of the detected objects may be too small to be found by ERT; and (3) there is no efficient way to estimate the effect of artifacts in ERT. In this paper, we proposed a method based on the clustering technique, where a fast-fuzzy clustering algorithm is used to partition the ERT image to three clusters that respond to liquid, solid phases, and their mixtures and artifacts, respectively. The clustering algorithm does not need any reference distribution in the CF estimation. In the case of small solid objects or artifacts, the CF value remains effectively computed by prior information. To validate the new method, a group of typical CF estimations in dredging engineering were implemented. Results show that the new method can effectively overcome the limitations of the existing method, and can provide a practical and more accurate way for CF estimation.

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