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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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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. |
format | Online Article Text |
id | pubmed-3292158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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