Open AccessSurface roughness estimation and visualisation using force feedback
Author(s) -
Lim J. H.,
Choi S. L.,
Kim C. B.,
Lim E. G.,
Hong H. B.,
Park J. W.
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.4408
Subject(s) - stylus , surface (topology) , surface roughness , visualization , surface finish , computer vision , computer science , process (computing) , calibration , surface reconstruction , artificial intelligence , scale (ratio) , property (philosophy) , materials science , mathematics , geometry , engineering , mechanical engineering , physics , statistics , quantum mechanics , composite material , operating system , philosophy , epistemology
The authors suggest a simple visualisation system for the surface roughness information, with being highly cost‐effective, non‐destructive for the surface, curved‐surface measurable, and standard‐compensated. This system utilises a force sensor with a flexible stylus as a scanning tip, converting the surface property into a two‐dimensional grey scale image through an imaging analysis process. The authors acquire a linear coordination for standard surfaces, scan normal surfaces using the proposed novel system, and reconstruct the two‐dimensional images for the surfaces on the basis of the calibration curve. The authors can experience virtual roughness of a material with a reconstructed two‐dimensional image by comparing with the standard surface images.