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    Multiscale characterisation of 3D surface topography of DLC coated and uncoated surfaces by directional blanket covering (DBC) method

    Access Status
    Fulltext not available
    Authors
    Wolski, Marcin
    Podsiadlo, Pawel
    Stachowiak, Gwidon
    Holmberg, K.
    Laukkanen, A.
    Ronkainen, H.
    Gee, M.
    Nunn, J.
    Gachot, C.
    Li, L.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Wolski, M. and Podsiadlo, P. and Stachowiak, G. and Holmberg, K. and Laukkanen, A. and Ronkainen, H. and Gee, M. et al. 2016. Multiscale characterisation of 3D surface topography of DLC coated and uncoated surfaces by directional blanket covering (DBC) method. Wear. 388-389: pp. 47-56.
    Source Title
    Wear
    DOI
    10.1016/j.wear.2017.03.021
    ISSN
    0043-1648
    School
    Department of Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/52940
    Collection
    • Curtin Research Publications
    Abstract

    Diamond-like carbon (DLC) coated surfaces exhibit anisotropic and multi-scale characteristics, i.e., their roughness change with both scale and direction. However, most currently used standard surface characterisation parameters and methods work well only with isotropic surfaces at a single scale. This problem can be overcome by variance orientation transform (VOT) and directional blanket covering (DBC) methods. Both methods calculate fractal signatures (FSs) in different directions allowing for detailed measurement of roughness of anisotropic and multiscale surfaces. FS is a set of fractal dimensions (FDs) at individual scales, and FD is a measure of surface roughness. High FD values mean rougher surfaces. Unlike other directional FSs methods, e.g., VOT, the DBC method automatically selects scales of calculations. In this study, the DBC method was used to analyse surface topography images of DLC coated and uncoated bearing steel discs of increasing roughness. Its ability to differentiate between two groups of surfaces is evaluated. The results obtained showed that the DBC method can detect differences in roughness at different scales and directions between the DLC coated and uncoated surfaces. This work could lead to applications of the DBC method in modelling of wear and friction behaviour of DLC coated and uncoated surfaces at different scales.

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