Tactile perception of randomly rough surfaces.

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.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Sahli R,Prot A,Wang A,Müser MH,Piovarči M,Didyk P,Bennewitz R

doi

10.1038/s41598-020-72890-y

subject

Has Abstract

pub_date

2020-09-25 00:00:00

pages

15800

issue

1

issn

2045-2322

pii

10.1038/s41598-020-72890-y

journal_volume

10

pub_type

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