Roughness Control on Multiphase Flow in Rock Fractures

2019 ◽  
Vol 46 (21) ◽  
pp. 12002-12011 ◽  
Author(s):  
Ran Hu ◽  
Chen‐Xing Zhou ◽  
Dong‐Sheng Wu ◽  
Zhibing Yang ◽  
Yi‐Feng Chen
Keyword(s):  
Multiphase Flow ◽  
Rock Fractures ◽  
Roughness Control

Chemically dependent mechanical properties of natural andesite rock fractures

2018 ◽  
Vol 55 (6) ◽  
pp. 881-893 ◽  
Author(s):  
E. Mohtarami ◽  
A. Baghbanan ◽  
M. Akbariforouz ◽  
H. Hashemolhosseini ◽  
E. Asadollahpour
Keyword(s):  
Ph Value ◽  
Reduction Rate ◽  
Shear Stiffness ◽  
Confining Pressure ◽  
Rock Fractures ◽  
Confining Stress ◽  
Fracture Conductivity ◽  
Mechanical Coupling ◽  
Geometrical Properties ◽  
Roughness Control

Different engineering rock works are affected by chemical–mechanical coupling phenomena in rock mass. Friction, strength of fracture walls, shape of asperities, and roughness control hydraulic and mechanical behaviors of fractures, which are all affected by chemical solutions. In addition, the efficiency of some operations such as leaching depend on the fracture conductivity in a confined condition. To evaluate the effects of leaching agents on the mechanical and geometrical properties of andesite rock fractures, a set of laboratory-scale experiments were conducted on three types of andesite in a sulfate medium with different pH values. Although the cohesion and shear strength reduced by decreasing the pH value, the roughness and shear stiffness of fractures did not follow a unique trend. Scanning electron microscope images indicated that the reason is mainly due to the selective chemical dissolution of the more reactive minerals in acidic solution. It is shown that fracture conductivity is a strong function of confining stress, asperities resistance, and aperture in such a way that confining pressure decreases the conductivity appreciably and the reduction rate depends on the mineralogy of fracture surfaces.

Investigation on the control of multiphase flow behavior in a continuous casting tundish during ladle change

2020 ◽  
Vol 117 (6) ◽  
pp. 619
Author(s):  
Rui Xu ◽  
Haitao Ling ◽  
Haijun Wang ◽  
Lizhong Chang ◽  
Shengtao Qiu
Keyword(s):  
Multiphase Flow ◽  
Flow Behavior ◽  
Rolled Strip ◽  
Impact Zone ◽  
Steel Cleanliness ◽  
Carry Over ◽  
Slag Carry Over ◽  
Hot Rolled ◽  
Turbulence Inhibitor ◽  
The Impact

The transient multiphase flow behavior in a single-strand tundish during ladle change was studied using physical modeling. The water and silicon oil were employed to simulate the liquid steel and slag. The effect of the turbulence inhibitor on the slag entrainment and the steel exposure during ladle change were evaluated and discussed. The effect of the slag carry-over on the water-oil-air flow was also analyzed. For the original tundish, the top oil phase in the impact zone was continuously dragged into the tundish bath and opened during ladle change, forming an emulsification phenomenon. By decreasing the liquid velocities in the upper part of the impact zone, the turbulence inhibitor decreased considerably the amount of entrained slag and the steel exposure during ladle change, thereby eliminating the emulsification phenomenon. Furthermore, the use of the TI-2 effectively lowered the effect of the slag carry-over on the steel cleanliness by controlling the movement of slag droplets. The results from industrial trials indicated that the application of the TI-2 reduced considerably the number of linear inclusions caused by ladle change in hot-rolled strip coils.

DRAG REDUCTION WITH ADDITIVES IN MULTIPHASE FLOW: A LITERATURE SURVEY

1999 ◽  
Vol 11 (3) ◽  
pp. 197-221 ◽  
Author(s):  
P. D. Manfield ◽  
C. J. Lawrence ◽  
Geoffrey F. Hewitt
Keyword(s):  
Multiphase Flow ◽  
Drag Reduction ◽  
Literature Survey

A NEURAL NETWORK ALGORITHM FOR DENSITY MEASUREMENT OF MULTIPHASE FLOW

2012 ◽  
Vol 24 (2) ◽  
pp. 89-103 ◽  
Author(s):  
Nabeel Al-Rawahi ◽  
Mahmoud Meribout ◽  
Ahmed Al-Naamany ◽  
Ali Al-Bimani ◽  
Adel Meribout
Keyword(s):  
Neural Network ◽  
Multiphase Flow ◽  
Density Measurement ◽  
Network Algorithm ◽  
Neural Network Algorithm
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