Numerical characterization of AFM images of self-structured surface textures
|dc.identifier.citation||Wolski, M. and Podsiadlo, P. and Stachowiak, G. 2014. Numerical characterization of AFM images of self-structured surface textures, Proceedings of the 5th World Tribology Congress (WTC 2013), Sep 8-13 2013, pp. 2431-2434. Torino, Italy: DIMEAS.|
Results obtained showed that, for the isotropic surfaces, the ABRG method is not considerably affected (i.e. <5%) by image resolution, tip size (for surfaces with large motifs) and noise levels lower than 9%. On the other hand, for anisotropic surfaces, the effects were much stronger (i.e. -34%). This indicates that ABRG method can be effective in the analysis of AFM images of self-structured surface textures. However, precautions should be taken when analyzing AFM images of surface textures with small motifs and/or anisotropy. The results also showed that the ABRG method is able to quantify changes in surface roughness occurring during the formation of photoinduced textures. Thus, the method has a potential to become a valuable tool in analyzing formation process of self-structured surfaces.
|dc.publisher||Politecnico di Torino (DIMEAS)|
|dc.title||Numerical characterization of AFM images of self-structured surface textures|
|dcterms.source.title||5th World Tribology Congress, WTC 2013|
|dcterms.source.series||5th World Tribology Congress, WTC 2013|
|curtin.department||Department of Mechanical Engineering|
|curtin.accessStatus||Fulltext not available|
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