Towards artifact-free characterization of surface topography using complex wavelets and total variation minimization

2005 ◽  
Vol 170 (2) ◽  
pp. 1014-1030 ◽  
Author(s):  
Jianwei Ma
Keyword(s):  
Surface Topography ◽  
Total Variation ◽  
Total Variation Minimization ◽  
Complex Wavelets

scholarly journals Characterization of surface topography of 3D printed parts by multi-scale analysis

2017 ◽  
Vol 12 (3) ◽  
pp. 1007-1014 ◽  
Author(s):  
Yann Quinsat ◽  
Claire Lartigue ◽  
Christopher A. Brown ◽  
Lamine Hattali
Keyword(s):  
Surface Topography ◽  
Scale Analysis ◽  
Multi Scale ◽  
3D Printed ◽  
Multi Scale Analysis

scholarly journals MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution

2019 ◽  
Vol 28 (4) ◽  
pp. 1851-1865 ◽  
Author(s):  
Dong Gong ◽  
Mingkui Tan ◽  
Qinfeng Shi ◽  
Anton van den Hengel ◽  
Yanning Zhang
Keyword(s):  
Total Variation ◽  
Matching Pursuit ◽  
Image Deconvolution ◽  
Total Variation Minimization

scholarly journals Characterization of surface topography of a newly developed metrological gloss scale

2015 ◽  
Vol 3 (4) ◽  
pp. 045001 ◽  
Author(s):  
O Flys ◽  
S Källberg ◽  
G Ged ◽  
Z Silvestri ◽  
B-G Rosén
Keyword(s):  
Surface Topography

Surface Topography Characterization in Steel Running-in Process of Dry Sliding Friction

2013 ◽  
Vol 278-280 ◽  
pp. 414-417 ◽  
Author(s):  
Geng Pei Zhang ◽  
Xiao Jun Liu ◽  
Wen Long Lu
Keyword(s):  
Surface Topography ◽  
Sliding Friction ◽  
Control Surface ◽  
Significant Feature ◽  
Dry Sliding ◽  
Wear Process ◽  
Machine System ◽  
Dry Sliding Friction ◽  
Performance Surface

Running-in is an important and inevitable wear process for machine system, and it plays an indispensable role in extending service life and improving operating performance. Surface topography appears as a significant feature of friction pairs. Therefore, study on modification of surface topography in running-in is crucial to control surface quality and then achieve improvement of machine system. In this paper, to understand the evolution of surface topography in running-in process, steel dry sliding running-in experiments were conducted, and surface topographies in running-in were evaluated with the areal surface evaluation parameters. The results reveal that surface topography evaluation could provide valuable information about wear status of steel running-in process of dry sliding friction, amplitude parameters, area and volume parameters, and hybrid parameters play different and important roles in characterization of surface topography modification in running-in.

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