Usage of the spatial filter method for measurements of local particle velocities in multiphase flows

1996 ◽  
Author(s):  
O. Fiedler
Keyword(s):  
Multiphase Flows ◽  
Spatial Filter ◽  
Filter Method ◽  
Particle Velocities

Measurement of local particle velocities and velocity distributions in gas-solid flows by means of the spatial filter method

1997 ◽  
Vol 94 (1) ◽  
pp. 51-57 ◽  
Author(s):  
O. Fiedler ◽  
J. Werther ◽  
N. Labahn ◽  
J. Kumpart ◽  
K. Christofori
Keyword(s):  
Spatial Filter ◽  
Filter Method ◽  
Particle Velocities

Reduction of Speckle Noises by Spatial Filter Method in Hard X-ray Region

2010 ◽  
Author(s):  
Yoshio Suzuki ◽  
Akihisa Takeuchi ◽  
R. Garrett ◽  
I. Gentle ◽  
K. Nugent ◽  
...  
Keyword(s):  
Spatial Filter ◽  
Filter Method ◽  
X Ray

Analysis of MCG measured by high-Tc SQUID with spatial filter method

2000 ◽  
Vol 36 (5) ◽  
pp. 3718-3720
Author(s):  
K.Y. Sai ◽  
Y.Q. Zhen ◽  
Y. Uchikawa ◽  
M. Kotani
Keyword(s):  
Spatial Filter ◽  
Filter Method ◽  
High Tc

scholarly journals Study of Spread of Estimated Solution Using Spatial Filter Method for Magnetocardiograms

2012 ◽  
Vol 36 (3) ◽  
pp. 272-276 ◽  
Author(s):  
R. Terusawa ◽  
K. Kobayashi ◽  
M. Yoshizawa ◽  
Y. Uchikawa
Keyword(s):  
Spatial Filter ◽  
Filter Method

scholarly journals DETECTING THE TEXTURE FOR MOBILE IMAGE BY USING PROPOSED TECHNIQUE

2021 ◽  
Vol 03 (03) ◽  
pp. 123-129
Author(s):  
Anaam Kadhim HADI
Keyword(s):  
Visual Information ◽  
Detection Method ◽  
Spatial Filter ◽  
New Technique ◽  
Filter Method ◽  
Test Image ◽  
Spatial Filters ◽  
A New Technique ◽  
Draft Paper

In this proposed search, a new technique was applied as an attempt to detect texture and the edges of a test image for mobile, lines drawn on a draft paper. Then was applied traditional spatial filters such as Sobel and Canny, comparison between them, and proposed method to detect the line edge and texture for the same image were applied. The results were that the detection method using the Canny filter showed more visual information and better accuracy than the Sobel spatial filter method, and when using the proposed technique, it gaves more information about the texture of the paper and more accurate results than the Canny filter, which was unable to detect the texture of the image.

Prediction of Erosion Due to Solid Particle Impact in Single-Phase and Multiphase Flows

2006 ◽  
Vol 129 (4) ◽  
pp. 576-582 ◽  
Author(s):  
Quamrul H. Mazumder
Keyword(s):  
Multiphase Flow ◽  
Solid Particle ◽  
Multiphase Flows ◽  
Single Phase ◽  
Mechanistic Model ◽  
Solid Particles ◽  
Particle Impact ◽  
Phase Flow ◽  
Erosion Rates ◽  
Particle Velocities

Solid particle erosion of metal surfaces is a major problem in several fluid handling industries due to unpredicted equipment failure and production loss. The prediction of erosion is difficult even in a single-phase flow. The complexity of the problem increases significantly in a multiphase flow due to the existence of different flow patterns where the spatial distribution of the phases changes with the change of phase flow rates. Earlier predictive means of erosion in single and multiphase flows were primarily based on empirical data and were limited to the flow conditions of the experiments. A mechanistic model has been developed for predicting erosion in single-phase and multiphase flows considering the effects of solid particle impact velocities that cause erosion. Local fluid velocities and simplified equations are used to calculate erosion rates assuming a uniform distribution of solid particles in the liquid phase in the multiphase flow. Another assumption was that the solid particle velocities are similar to the velocity of the fluids surrounding the particles. As the model is based on the physics of multiphase flow and erosion phenomenon, it is more general than the previous models. The predicted erosion rates obtained by the mechanistic model are compared to experimental data available in the literature showing a reasonably good agreement.

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