Please use this identifier to cite or link to this item: doi:10.22028/D291-32622
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Title: Tactile perception of randomly rough surfaces
Author(s): Sahli, Riad
Prot, Aubin
Wang, Anle
Müser, Martin H.
Piovarči, Michal
Didyk, Piotr
Bennewitz, Roland
Language: English
Title: Scientific reports
Volume: 10
Issue: 1
Publisher/Platform: SpringerNature
Year of Publication: 2020
Publikation type: Journal Article
Abstract: Most everyday surfaces are randomly rough and self-similar on sufficiently small scales. We investigated the tactile perception of randomly rough surfaces using 3D-printed samples, where the topographic structure and the statistical properties of scale-dependent roughness were varied independently. We found that the tactile perception of similarity between surfaces was dominated by the statistical micro-scale roughness rather than by their topographic resemblance. Participants were able to notice differences in the Hurst roughness exponent of 0.2, or a difference in surface curvature of 0.8 [Formula: see text] for surfaces with curvatures between 1 and 3 [Formula: see text]. In contrast, visual perception of similarity between color-coded images of the surface height was dominated by their topographic resemblance. We conclude that vibration cues from roughness at the length scale of the finger ridge distance distract the participants from including the topography into the judgement of similarity. The interaction between surface asperities and fingertip skin led to higher friction for higher micro-scale roughness. Individual friction data allowed us to construct a psychometric curve which relates similarity decisions to differences in friction. Participants noticed differences in the friction coefficient as small as 0.035 for samples with friction coefficients between 0.34 and 0.45.
DOI of the first publication: 10.1038/s41598-020-72890-y
URL of the first publication: https://www.nature.com/articles/s41598-020-72890-y
Link to this record: hdl:20.500.11880/29985
http://dx.doi.org/10.22028/D291-32622
ISSN: 2045-2322
Date of registration: 10-Nov-2020
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Physik
Professorship: NT - Keiner Professur zugeordnet
Collections:Die Universitätsbibliographie

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