Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application

The plasma optical radiation emitted during CO(2) laser welding of stainless steel samples has been detected with a Si-PIN photodiode and analyzed under different process conditions. The discrete wavelet transform (DWT) has been used to decompose the optical signal into various discrete series of se...

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Detalles Bibliográficos
Autores principales: Sibillano, Teresa, Ancona, Antonio, Rizzi, Domenico, Lupo, Valentina, Tricarico, Luigi, Lugarà, Pietro Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274232/
https://www.ncbi.nlm.nih.gov/pubmed/22319311
http://dx.doi.org/10.3390/s100403549
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author Sibillano, Teresa
Ancona, Antonio
Rizzi, Domenico
Lupo, Valentina
Tricarico, Luigi
Lugarà, Pietro Mario
author_facet Sibillano, Teresa
Ancona, Antonio
Rizzi, Domenico
Lupo, Valentina
Tricarico, Luigi
Lugarà, Pietro Mario
author_sort Sibillano, Teresa
collection PubMed
description The plasma optical radiation emitted during CO(2) laser welding of stainless steel samples has been detected with a Si-PIN photodiode and analyzed under different process conditions. The discrete wavelet transform (DWT) has been used to decompose the optical signal into various discrete series of sequences over different frequency bands. The results show that changes of the process settings may yield different signal features in the range of frequencies between 200 Hz and 30 kHz. Potential applications of this method to monitor in real time the laser welding processes are also discussed.
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spelling pubmed-32742322012-02-08 Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application Sibillano, Teresa Ancona, Antonio Rizzi, Domenico Lupo, Valentina Tricarico, Luigi Lugarà, Pietro Mario Sensors (Basel) Article The plasma optical radiation emitted during CO(2) laser welding of stainless steel samples has been detected with a Si-PIN photodiode and analyzed under different process conditions. The discrete wavelet transform (DWT) has been used to decompose the optical signal into various discrete series of sequences over different frequency bands. The results show that changes of the process settings may yield different signal features in the range of frequencies between 200 Hz and 30 kHz. Potential applications of this method to monitor in real time the laser welding processes are also discussed. Molecular Diversity Preservation International (MDPI) 2010-04-08 /pmc/articles/PMC3274232/ /pubmed/22319311 http://dx.doi.org/10.3390/s100403549 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, 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
Sibillano, Teresa
Ancona, Antonio
Rizzi, Domenico
Lupo, Valentina
Tricarico, Luigi
Lugarà, Pietro Mario
Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application
title Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application
title_full Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application
title_fullStr Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application
title_full_unstemmed Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application
title_short Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application
title_sort plasma plume oscillations monitoring during laser welding of stainless steel by discrete wavelet transform application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274232/
https://www.ncbi.nlm.nih.gov/pubmed/22319311
http://dx.doi.org/10.3390/s100403549
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