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Open AccessArticle

Analysis of Force Signals for the Estimation of Surface Roughness during Robot-Assisted Polishing

1
Department of Manufacturing Engineering, Universidad Nacional de Educación a Distancia (UNED), C/Juan del Rosal 12, E28040 Madrid, Spain
2
Department of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, Piazzale Tecchio, 80, 80125 Naples, Italy
*
Author to whom correspondence should be addressed.
Materials 2018, 11(8), 1438; https://doi.org/10.3390/ma11081438
Received: 11 July 2018 / Revised: 9 August 2018 / Accepted: 13 August 2018 / Published: 15 August 2018
(This article belongs to the Special Issue Special Issue of the Manufacturing Engineering Society (MES))
In this study feature extraction of force signals detected during robot-assisted polishing processes was carried out to estimate the surface roughness during the process. The purpose was to collect significant features from the signal that allow the determination of the end point of the polishing process based on surface roughness. For this objective, dry polishing turning tests were performed on a Robot-Assisted Polishing (RAP) machine (STRECON NanoRAP 200) during three polishing sessions, using the same polishing conditions. Along the tests, force signals were acquired and offline surface roughness measurements were taken at the end of each polishing session. As a main conclusion, it can be affirmed, regarding the force signal, that features extracted from both time and frequency domains are valuable data for the estimation of surface roughness. View Full-Text
Keywords: robot-assisted polishing; force signal; surface roughness; end point detection robot-assisted polishing; force signal; surface roughness; end point detection
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MDPI and ACS Style

De Agustina, B.; Marín, M.M.; Teti, R.; Rubio, E.M. Analysis of Force Signals for the Estimation of Surface Roughness during Robot-Assisted Polishing. Materials 2018, 11, 1438.

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