Methodology for automatic selection of passes in surface grinding

Detalhes bibliográficos
Autor(a) principal: Dotto,Fábio R. L.
Data de Publicação: 2007
Outros Autores: Aguiar,Paulo Roberto de, Thomazella,Rogério, Bianchi,Eduardo Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782007000100002
Resumo: The main purpose of this work is the development of computational tools in order to assist the on-line automatic detection of burn in the surface grinding process. Most of the parameters currently employed in the burning recognition (DPO, FKS, DPKS, DIFP, among others) do not incorporate routines for automatic selection of the grinding passes, therefore, requiring the user’s interference for the choice of the active region. Several methods were employed in the passes extraction; however, those with the best results are presented in this article. Tests carried out in a surface-grinding machine have shown the success of the algorithms developed for pass extraction.
id ABCM-2_559ee39a910f07ff3af37a6586639bfd
oai_identifier_str oai:scielo:S1678-58782007000100002
network_acronym_str ABCM-2
network_name_str Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
repository_id_str
spelling Methodology for automatic selection of passes in surface grindinggrinding processcomputational toolsburningacoustic emissionpower signalThe main purpose of this work is the development of computational tools in order to assist the on-line automatic detection of burn in the surface grinding process. Most of the parameters currently employed in the burning recognition (DPO, FKS, DPKS, DIFP, among others) do not incorporate routines for automatic selection of the grinding passes, therefore, requiring the user’s interference for the choice of the active region. Several methods were employed in the passes extraction; however, those with the best results are presented in this article. Tests carried out in a surface-grinding machine have shown the success of the algorithms developed for pass extraction.Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM2007-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782007000100002Journal of the Brazilian Society of Mechanical Sciences and Engineering v.29 n.1 2007reponame:Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/S1678-58782007000100002info:eu-repo/semantics/openAccessDotto,Fábio R. L.Aguiar,Paulo Roberto deThomazella,RogérioBianchi,Eduardo Carloseng2007-09-04T00:00:00Zoai:scielo:S1678-58782007000100002Revistahttps://www.scielo.br/j/jbsmse/https://old.scielo.br/oai/scielo-oai.php||abcm@abcm.org.br1806-36911678-5878opendoar:2007-09-04T00:00Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false
dc.title.none.fl_str_mv Methodology for automatic selection of passes in surface grinding
title Methodology for automatic selection of passes in surface grinding
spellingShingle Methodology for automatic selection of passes in surface grinding
Dotto,Fábio R. L.
grinding process
computational tools
burning
acoustic emission
power signal
title_short Methodology for automatic selection of passes in surface grinding
title_full Methodology for automatic selection of passes in surface grinding
title_fullStr Methodology for automatic selection of passes in surface grinding
title_full_unstemmed Methodology for automatic selection of passes in surface grinding
title_sort Methodology for automatic selection of passes in surface grinding
author Dotto,Fábio R. L.
author_facet Dotto,Fábio R. L.
Aguiar,Paulo Roberto de
Thomazella,Rogério
Bianchi,Eduardo Carlos
author_role author
author2 Aguiar,Paulo Roberto de
Thomazella,Rogério
Bianchi,Eduardo Carlos
author2_role author
author
author
dc.contributor.author.fl_str_mv Dotto,Fábio R. L.
Aguiar,Paulo Roberto de
Thomazella,Rogério
Bianchi,Eduardo Carlos
dc.subject.por.fl_str_mv grinding process
computational tools
burning
acoustic emission
power signal
topic grinding process
computational tools
burning
acoustic emission
power signal
description The main purpose of this work is the development of computational tools in order to assist the on-line automatic detection of burn in the surface grinding process. Most of the parameters currently employed in the burning recognition (DPO, FKS, DPKS, DIFP, among others) do not incorporate routines for automatic selection of the grinding passes, therefore, requiring the user’s interference for the choice of the active region. Several methods were employed in the passes extraction; however, those with the best results are presented in this article. Tests carried out in a surface-grinding machine have shown the success of the algorithms developed for pass extraction.
publishDate 2007
dc.date.none.fl_str_mv 2007-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782007000100002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782007000100002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1678-58782007000100002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM
publisher.none.fl_str_mv Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM
dc.source.none.fl_str_mv Journal of the Brazilian Society of Mechanical Sciences and Engineering v.29 n.1 2007
reponame:Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron:ABCM
instname_str Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron_str ABCM
institution ABCM
reponame_str Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
collection Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
repository.name.fl_str_mv Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
repository.mail.fl_str_mv ||abcm@abcm.org.br
_version_ 1754734680918196224

Registros relacionados