In-process grinding monitoring by acoustic emission

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorAguiar, Paulo R.-
Autor(es): dc.creatorSerni, Paulo J.A.-
Autor(es): dc.creatorBianchi, Eduardo C.-
Autor(es): dc.creatorDotto, Fábio R.L.-
Data de aceite: dc.date.accessioned2025-08-21T21:03:46Z-
Data de disponibilização: dc.date.available2025-08-21T21:03:46Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2004-09-27-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/225190-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/225190-
Descrição: dc.descriptionThis work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding process. To accomplish such a goal, an experimental work was carried out for 15 runs in a surface grinding machine operating with an aluminum oxide grinding wheel and ABNT 1045. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate data acquisition system at 2.5 MHz was used to collect the raw acoustic emission instead of root mean square value usually employed. Many statistics have shown effective to detect burn, such as the root mean square (RMS), correlation of the AE, constant false alarm (CFAR), ratio of power (ROP) and mean-value deviance (MVD). However, the CFAR, ROP, Kurtosis and correlation of the AE have been presented more sensitive than the RMS.-
Descrição: dc.descriptionUniversity of Sao Paulo Unesp Electrical Engineering Department, Bauru-SP-
Descrição: dc.descriptionUniversity of Sao Paulo Unesp Mechanical Engineering Department, Bauru-SP-
Descrição: dc.descriptionUniversity of Sao Paulo Unesp Electrical Engineering Department, Bauru-SP-
Descrição: dc.descriptionUniversity of Sao Paulo Unesp Mechanical Engineering Department, Bauru-SP-
Idioma: dc.languageen-
Relação: dc.relationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings-
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Título: dc.titleIn-process grinding monitoring by acoustic emission-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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