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    Directional fractal signature analysis of self-structured surface textures

    Access Status
    Fulltext not available
    Authors
    Wolski, Marcin
    Podsiadlo, Pawel
    Stachowiak, Gwidon
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Wolski, M and Podsiadlo, P and Stachowiak, G. 2012. Directional fractal signature analysis of self-structured surface textures. Tribology Letters. 47 (3): pp. 323-340.
    Source Title
    Tribology Letters
    DOI
    10.1007/s11249-012-9988-6
    ISSN
    1023-8883
    URI
    http://hdl.handle.net/20.500.11937/28119
    Collection
    • Curtin Research Publications
    Abstract

    Currently available directional fractal signature (DFS) methods are not suited for self-structured surface textures since they base on the assumption of Brownian fractal or they do not use the entire image data in calculation. To address these difficulties, two new DFS methods were developed in this study, i.e., an augmented blanket with rotating grid (ABRG) method and a blanket with shearing image (BSI) method. The performance of these methods in measuring surface roughness and directionality, the capacity for quantifying multi-patterned textures, and the ability to detect differences between textures of self-structured surfaces were evaluated. The methods were compared against a blanket with rotating grid (BRG) method. Computer-generated images of self-structured surface textures with different roughness, directions and patterns, and atomic force microscope images of real self-structured surfaces were used. The computer texture images were generated using a specially developed motif-based texture generator. Results obtained showed that the ABRG method is more accurate and reliable than the BRG and BSI methods.

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