Abstract
Quantitative analysis of surface modifications due to wear tests of a diamond-like carbon (DLC)-coated cylindrical steel test sample was carried out by atomic force microscopy and confocal microscopy. In order to get a reliable metrics for the quantitative assessment of surface modifications due to nano-wear, different surface texture parameters like arithmetic average roughness Sa, surface kurtosis Sku, surface skewness Ssk, and core roughness depth Sk were analysed. The results show that, after application of a Gaussian filter to reduce the influence of the underlying longer-range surface topography variations, the surface skewness parameter Ssk was the most sensitive and reliable parameter to indicate the very small wear modifications of the DLC-coated surface. Further studies were carried out to investigate the influence of pixel sampling distance, scanning area and scanning tip dimensions.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
