scholarly journals Characterizing Fiber Diameter Variability in Nonwovens

1999 ◽  
Vol os-8 (1) ◽  
pp. 1558925099OS-80
Author(s):  
B. Pourdeyhemi
Keyword(s):  
Image Analysis ◽  
Fiber Orientation ◽  
Fiber Diameter ◽  
Field Analysis ◽  
Distance Transform ◽  
Simulation Methods ◽  
Direct Measure ◽  
Transform Method ◽  
Tracking Method ◽  
Flow Field Analysis

This paper reports on the application of the image analysis methods for characterizing fiber orientation in nonwovens. In our earlier work in this area, we reported on simulation methods as well as three methods (chord tracking, Fourier transform and Flow Field Analysis) for the measurement of fiber orientation. The chord tracking was found to be the method of choice when a direct measure of orientation was desired. This paper outlines the steps necessary to apply the chord tracking method to real fabrics. In order to deal with real webs, it was found necessary to develop a lighting scheme that resulted in images with sufficient contrast suitable for processing as well as to develop an appropriate thresholding method to obtain data suitable for analysis. Further, it is demonstrated that fiber diameter variation can be determined easily by using a “distance transform” method.

Measuring Fiber Orientation in Nonwovens Part IV: Flow Field Analysis

1997 ◽  
Vol 67 (3) ◽  
pp. 181-187 ◽  
Author(s):  
B. Pourdeyhimi ◽  
R. Dent
Keyword(s):  
Image Analysis ◽  
Flow Field ◽  
Fiber Orientation ◽  
Field Analysis ◽  
Local Orientation ◽  
Image Analysis Technique ◽  
Fourier Methods ◽  
Analysis Technique ◽  
Flow Field Analysis ◽  
Simulated Images

This paper addresses the development of the image analysis technique of flow field analysis to evaluate local orientation in a fibrous assembly. The algorithms are evaluated using simulated images presented in Part I of the series. The results are compared with those from the tracking and Fourier methods presented in Parts II and III.

Measuring Fiber Orientation in Nonwovens Part III: Fourier Transform

1997 ◽  
Vol 67 (2) ◽  
pp. 143-151 ◽  
Author(s):  
B. Pourdeyhimi ◽  
R. Dent ◽  
H. Davis
Keyword(s):  
Image Analysis ◽  
Fourier Transform ◽  
Fiber Orientation ◽  
Image Analysis Technique ◽  
Tracking Method ◽  
Analysis Technique ◽  
The Fourier Transform ◽  
Simulated Images

This paper addresses the development of an image analysis technique using the Fourier transform of the image to evaluate orientation in a fibrous assembly. The algorithms are evaluated using simulated images presented in Part I of the series. The results are compared with those for the tracking method presented in Part II.

scholarly journals Moving Object Detection by 3D Flow Field Analysis

2021 ◽  
Vol 22 (4) ◽  
pp. 1950-1963
Author(s):  
Cansen Jiang ◽  
Danda Pani Paudel ◽  
David Fofi ◽  
Yohan Fougerolle ◽  
Cedric Demonceaux
Keyword(s):  
Flow Field ◽  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Field Analysis ◽  
3D Flow ◽  
Flow Field Analysis

scholarly journals Numerical simulation and experimental validation of cavitating flow in a multi-hole diesel fuel injector

2021 ◽  
pp. 146808742199863
Author(s):  
Aishvarya Kumar ◽  
Ali Ghobadian ◽  
Jamshid Nouri
Keyword(s):  
Computational Cost ◽  
Cavitating Flow ◽  
Field Analysis ◽  
Navier Stokes ◽  
Fuel Injector ◽  
Fluid Behavior ◽  
Flow Field Analysis ◽  
Charged Couple Device ◽  
Biodiesel Fuels ◽  
High Level

This study assesses the predictive capability of the ZGB (Zwart-Gerber-Belamri) cavitation model with the RANS (Reynolds Averaged Navier-Stokes), the realizable k-epsilon turbulence model, and compressibility of gas/liquid models for cavitation simulation in a multi-hole fuel injector at different cavitation numbers (CN) for diesel and biodiesel fuels. The prediction results were assessed quantitatively by comparison of predicted velocity profiles with those of measured LDV (Laser Doppler Velocimetry) data. Subsequently, predictions were assessed qualitatively by visual comparison of the predicted void fraction with experimental CCD (Charged Couple Device) recorded images. Both comparisons showed that the model could predict fluid behavior in such a condition with a high level of confidence. Additionally, flow field analysis of numerical results showed the formation of vortices in the injector sac volume. The analysis showed two main types of vortex structures formed. The first kind appeared connecting two adjacent holes and is known as “hole-to-hole” connecting vortices. The second type structure appeared as double “counter-rotating” vortices emerging from the needle wall and entering the injector hole facing it. The use of RANS proved to save significant computational cost and time in predicting the cavitating flow with good accuracy.

Flow field analysis in a compliant acinus replica model using particle image velocimetry (PIV)

2010 ◽  
Vol 43 (6) ◽  
pp. 1039-1047 ◽  
Author(s):  
Emily J. Berg ◽  
Jessica L. Weisman ◽  
Michael J. Oldham ◽  
Risa J. Robinson
Keyword(s):  
Particle Image Velocimetry ◽  
Flow Field ◽  
Particle Image ◽  
Field Analysis ◽  
Image Velocimetry ◽  
Flow Field Analysis
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