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Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods

This paper presents a computational method for detecting vibrations related to eccentricity in ultra precision rotation devices used for nano-scale manufacturing. The vibration is indirectly measured via a frequency domain analysis of the signal from a piezoelectric sensor attached to the stationary...

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Detalles Bibliográficos
Autores principales: del Toro, Raúl M., Haber, Rodolfo E., Schmittdiel, Michael C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292158/
https://www.ncbi.nlm.nih.gov/pubmed/22399918
http://dx.doi.org/10.3390/s100504983
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author del Toro, Raúl M.
Haber, Rodolfo E.
Schmittdiel, Michael C.
author_facet del Toro, Raúl M.
Haber, Rodolfo E.
Schmittdiel, Michael C.
author_sort del Toro, Raúl M.
collection PubMed
description This paper presents a computational method for detecting vibrations related to eccentricity in ultra precision rotation devices used for nano-scale manufacturing. The vibration is indirectly measured via a frequency domain analysis of the signal from a piezoelectric sensor attached to the stationary component of the rotating device. The algorithm searches for particular harmonic sequences associated with the eccentricity of the device rotation axis. The detected sequence is quantified and serves as input to a regression model that estimates the eccentricity. A case study presents the application of the computational algorithm during precision manufacturing processes.
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spelling pubmed-32921582012-03-07 Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods del Toro, Raúl M. Haber, Rodolfo E. Schmittdiel, Michael C. Sensors (Basel) Article This paper presents a computational method for detecting vibrations related to eccentricity in ultra precision rotation devices used for nano-scale manufacturing. The vibration is indirectly measured via a frequency domain analysis of the signal from a piezoelectric sensor attached to the stationary component of the rotating device. The algorithm searches for particular harmonic sequences associated with the eccentricity of the device rotation axis. The detected sequence is quantified and serves as input to a regression model that estimates the eccentricity. A case study presents the application of the computational algorithm during precision manufacturing processes. Molecular Diversity Preservation International (MDPI) 2010-05-18 /pmc/articles/PMC3292158/ /pubmed/22399918 http://dx.doi.org/10.3390/s100504983 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
del Toro, Raúl M.
Haber, Rodolfo E.
Schmittdiel, Michael C.
Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods
title Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods
title_full Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods
title_fullStr Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods
title_full_unstemmed Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods
title_short Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods
title_sort detecting nano-scale vibrations in rotating devices by using advanced computational methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292158/
https://www.ncbi.nlm.nih.gov/pubmed/22399918
http://dx.doi.org/10.3390/s100504983
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