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  • 1.
    Berglund, J.
    et al.
    Sandvik Tooling, R & D Center Olofström, Olofström, Sweden.
    Agunwamba, C.
    Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, Massachusetts.
    Powers, B.
    Worcester Polytechnic Institute, Worcester, Massachusetts.
    Brown, C. A.
    Surface Metrology Lab, Worcester Polytechnic Institute, Worcester, Massachusetts.
    Rosén, Bengt Göran
    Halmstad University, School of Business and Engineering (SET), Mechanical Engineering and Industrial Design (MTEK), Functional Surfaces.
    On discovering relevant scales in surface roughness measurement: an evaluation of a band-pass method2010In: Scanning, ISSN 0161-0457, E-ISSN 1932-8745, Vol. 32, no 4, p. 244-249Article in journal (Refereed)
    Abstract [en]

    When characterizing surfaces and searching for correlations to functional properties, such as friction, finding the right scale of roughness for evaluation can improve correlations. However, in traditional roughness parameter analysis, a wide range of scales, or all scales of topography in the surface roughness measurements are evaluated together. In this study a multi-scale method using a series of band-pass filters is employed for finding scales of topography with strong correlations to friction.

  • 2.
    Berglund, Johan
    et al.
    Advanced Engineering, Sandvik Tooling, Olofström, Sweden.
    Wiklund, Daniel
    Forming Processes, Swerea IVF, Mölndal, Sweden.
    Rosén, Bengt-Göran
    Halmstad University, School of Business, Engineering and Science, Mechanical Engineering and Industrial Design (MTEK), Functional Surfaces.
    A Method for Visualization of Surface Texture Anisotropy in Different Scales of Observation2011In: Scanning, ISSN 0161-0457, E-ISSN 1932-8745, Vol. 33, no 5, p. 325-331Article in journal (Refereed)
    Abstract [en]

    Anisotropy of functional surfaces can in many practical cases significantly influence the surface function. Tribological contacts in sheet forming and engine applications are good examples. This article introduces and exemplifies a method for visualization of anisotropy. In a single graph, surface texture properties related to the anisotropy as a function of scale are plotted. The anisotropy graph can be used to explain anisotropy properties of a studied surface such as texture direction and texture strength at different scales of observation. Examples of milled steel surfaces and a textured steel sheet surface are presented to support the proposed methodology. Different aspects of the studied surfaces could clearly be seen at different scales. Future steps to improve filtering techniques and an introduction of length-scale analysis are discussed.

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