Quality Assurance of Micro-Gears via 3D Surface Characterization

2013 ◽  
pp. 419-429
Author(s):  
Gisela Lanza ◽  
Benjamin Viering
2010 ◽  
Vol 12 (1) ◽  
pp. 234-238 ◽  
Author(s):  
H. Omar Wooten ◽  
Eric E. Klein ◽  
Garima Gokrhoo ◽  
Lakshmi Santanam

2012 ◽  
Vol 30 (2) ◽  
Author(s):  
Rodrigues Valdo Ferreira ◽  
Victor Rodolfo Araujo ◽  
Campos Wellington ◽  
Ana Catarina da Rocha Medeiros

Fracture surface characteristics have significant effect on fracture hydraulic conductivity. The available acid-fracture conductivity correlations do notconsider surface characteristics or make an incipient use of it. A proper description of the acid-fracture surfaces is the initial step towards the right consideration of surface roughness in hydraulic conductivity. This paper presents an areal (3D) surface evaluation of acid-etched fractures, simulated in samples taken from whole cores of an oil producer limestone. The topography of acid-fractured surfaces was assessed using a laser profilometer. The surfaces were evaluated with a set of 3D surface parameters. The results showed that the main features of acid-etched surfaces are large roughness, negative skewness, high kurtosis, and intermediate isotropy, mostly random, but with some spatial orientation. The acid-fractured surfaces can be represented by the rms height, which showed great linear correlation with most of the surface parameters. The parameters texture aspect ratio, bearing index, valley retention index, and density of summits showed low correlation with rms height. A method to calculate fracture width from surface topography was developed. An attempt to explain abnormal behavior in initial conductivity tests revealed the potential use of surface characterization for management of fine particles in oil and gas reservoirs. It is suggested to search improved fracture conductivity correlation through the relationship between lab measured conductivities and surface characterization parameters.


2012 ◽  
Vol 12 (10) ◽  
pp. 929-937 ◽  
Author(s):  
Arvind Chavan ◽  
Yogesh Gaikhe ◽  
Sandeep Huddedar ◽  
Raju Pawade

2017 ◽  
Vol 61 (4) ◽  
pp. 303 ◽  
Author(s):  
Hayder Al-Maliki ◽  
Gábor Kalácska

The frictional behavior of (PA6 E and PETP) engineering polymers commonly used in the industry were investigated implying 3D surface topography due to Dielectric Barrier Discharge (DBD) source, atmospheric cold plasma surface treatment and compared to the pristine surface results under the same test conditions. The 3D surface topography shows a decrease in the surface roughness after treatment and keeps good topographical stability with the function of time. The friction coefficient of treated samples were lower than the pristine one under “run-out” lubrication conditions in line with surface characterization results.


2018 ◽  
Vol 185 ◽  
pp. 72-80 ◽  
Author(s):  
Vahid Abbasian ◽  
Ehsan A. Akhlaghi ◽  
Mohammad A. Charsooghi ◽  
Maasoomeh Bazzar ◽  
Ali-Reza Moradi

2011 ◽  
Vol 19 ◽  
pp. 112-117
Author(s):  
S. Gröger ◽  
M. Gerlach

2016 ◽  
Vol 24 ◽  
pp. S315-S316
Author(s):  
T.J. Ylitalo ◽  
H. Gahunia ◽  
S. Karhula ◽  
M. Finnilä ◽  
H. Suhonen ◽  
...  

2008 ◽  
Vol 08 (04) ◽  
pp. 601-613 ◽  
Author(s):  
BINJIE XIN ◽  
JINLIAN HU ◽  
GEORGE BACIU

This paper presents a digital imaging method based on silhouette image analysis to visualize the 3D surface Profile of textile or other flexible materials. A prototype of imaging system consisting of five components was developed: visible lighting source (white backlighting), sample stage, progressive sample feeding equipments, detector (CCD camera) and software. A sequence of silhouette images of textile surface patches could be digitalized progressively when sample passing through the sharp edge of crossbeam in bending status, so that the whole 3D surface profile could be generated by the combination of silhouette height profile of each surface patch in sequence. The proposed method and system enables us to reconstruct the 3D surface profile of the textile materials without colors and textures of them, and therefore this method could be much more effective for the surface characterization and defect analysis than traditional 2D image analysis methods.


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