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Multiscale Characterizations of Surface Anisotropies.

Tomasz Bartkowiak1, Johan Berglund2,3, Christopher A Brown4

  • 1Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznań, Poland.

Materials (Basel, Switzerland)
|July 11, 2020
PubMed
Summary

This study introduces two multiscale methods to quantify surface anisotropy, revealing how it changes with scale. These advanced techniques offer clearer insights into surface texture compared to traditional methods.

Keywords:
anisotropymultiscalesurface texture

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Area of Science:

  • Materials Science
  • Surface Engineering
  • Metrology

Background:

  • Surface anisotropy significantly impacts functional properties like friction and wetting.
  • Traditional characterization methods often fail to detect scale-dependent anisotropy.
  • Understanding anisotropy is crucial for predicting surface behavior and optimizing manufacturing processes.

Purpose of the Study:

  • To develop and evaluate two novel multiscale methods for quantifying and visualizing surface anisotropy.
  • To demonstrate the scale-dependent nature of anisotropy on various engineered surfaces.
  • To compare the effectiveness of these new methods against conventional techniques.

Main Methods:

  • Multiscale curvature tensor analysis to visualize anisotropy in topocentric coordinates.
  • Application of multiple bandpass filters before calculating anisotropy parameters (texture aspect ratios and directions).
  • Analysis of milled steel, µEDMed, and additively manufactured surfaces across different scales.

Main Results:

  • Both methods successfully visualized anisotropy, with curvature tensors showing anisotropy in horizontal coordinates.
  • Bandpass filtering methods revealed anisotropy exclusively in horizontal directions.
  • Multiscale analysis clearly demonstrated that surface anisotropy changes significantly with scale, a finding missed by traditional methods.

Conclusions:

  • The proposed multiscale methods provide a more comprehensive understanding of surface anisotropy.
  • Scale-dependent anisotropy is a critical characteristic of engineered surfaces.
  • These techniques enhance the ability to characterize and predict surface functionality based on processing.