A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista soldagem & inspeção (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-92242018000400474 |
Resumo: | Abstract Often, welding processes used in the industry affect the mechanical properties of materials and quality of a manufactured product. There is, however, an alternative process named Friction Stir Welding (FSW), which is an solid state welding process developed to weld light alloys without compromising their mechanical properties. It is of interest to monitor the performance of FSW process to detect loss of quality. In practice, superficial and internal defects can be found; they can be identified through simple visual inspection and through visual recognition on destructive testing respectively, both procedures represent inspection by attributes. Therefore a multi-attribute control chart is assessed to monitor the process. Commonly, multi-attribute control charts involve high sampling rates to ensure accurate monitoring. In this paper, a multi-attribute control chart is proposed, considering the use of empirical control limits, instead of the theoretical ones, in order to improve its accuracy and lessen the small sample sizes effect. The performance of proposed approaches is analyzed by means of Monte Carlo simulation. The results suggest that the performance of the empirical designs is better than the theoretical ones in all tested cases. Finally, the results of monitoring FSW process data are detailed. |
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A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample SizesFSWAttribute control chartCategorical defectsSmall sample sizesAbstract Often, welding processes used in the industry affect the mechanical properties of materials and quality of a manufactured product. There is, however, an alternative process named Friction Stir Welding (FSW), which is an solid state welding process developed to weld light alloys without compromising their mechanical properties. It is of interest to monitor the performance of FSW process to detect loss of quality. In practice, superficial and internal defects can be found; they can be identified through simple visual inspection and through visual recognition on destructive testing respectively, both procedures represent inspection by attributes. Therefore a multi-attribute control chart is assessed to monitor the process. Commonly, multi-attribute control charts involve high sampling rates to ensure accurate monitoring. In this paper, a multi-attribute control chart is proposed, considering the use of empirical control limits, instead of the theoretical ones, in order to improve its accuracy and lessen the small sample sizes effect. The performance of proposed approaches is analyzed by means of Monte Carlo simulation. The results suggest that the performance of the empirical designs is better than the theoretical ones in all tested cases. Finally, the results of monitoring FSW process data are detailed.Associação Brasileira de Soldagem2018-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-92242018000400474Soldagem & Inspeção v.23 n.4 2018reponame:Revista soldagem & inspeção (Online)instname:Associação Brasileira de Soldagem (ABS)instacron:ABS10.1590/0104-9224/si2304.03info:eu-repo/semantics/openAccessRamírez-Méndez,EsmeraldaCantu-Sifuentes,MarioGonzález-González,David SalvadorMiranda-Pérez,Argelia FabiolaPraga-Alejo,Rolando Javiereng2019-03-15T00:00:00Zoai:scielo:S0104-92242018000400474Revistahttp://abs-soldagem.org.br/s&i/https://old.scielo.br/oai/scielo-oai.php||revista-si@abs-soldagem.org.br0104-92241980-6973opendoar:2019-03-15T00:00Revista soldagem & inspeção (Online) - Associação Brasileira de Soldagem (ABS)false |
dc.title.none.fl_str_mv |
A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes |
title |
A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes |
spellingShingle |
A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes Ramírez-Méndez,Esmeralda FSW Attribute control chart Categorical defects Small sample sizes |
title_short |
A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes |
title_full |
A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes |
title_fullStr |
A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes |
title_full_unstemmed |
A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes |
title_sort |
A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes |
author |
Ramírez-Méndez,Esmeralda |
author_facet |
Ramírez-Méndez,Esmeralda Cantu-Sifuentes,Mario González-González,David Salvador Miranda-Pérez,Argelia Fabiola Praga-Alejo,Rolando Javier |
author_role |
author |
author2 |
Cantu-Sifuentes,Mario González-González,David Salvador Miranda-Pérez,Argelia Fabiola Praga-Alejo,Rolando Javier |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ramírez-Méndez,Esmeralda Cantu-Sifuentes,Mario González-González,David Salvador Miranda-Pérez,Argelia Fabiola Praga-Alejo,Rolando Javier |
dc.subject.por.fl_str_mv |
FSW Attribute control chart Categorical defects Small sample sizes |
topic |
FSW Attribute control chart Categorical defects Small sample sizes |
description |
Abstract Often, welding processes used in the industry affect the mechanical properties of materials and quality of a manufactured product. There is, however, an alternative process named Friction Stir Welding (FSW), which is an solid state welding process developed to weld light alloys without compromising their mechanical properties. It is of interest to monitor the performance of FSW process to detect loss of quality. In practice, superficial and internal defects can be found; they can be identified through simple visual inspection and through visual recognition on destructive testing respectively, both procedures represent inspection by attributes. Therefore a multi-attribute control chart is assessed to monitor the process. Commonly, multi-attribute control charts involve high sampling rates to ensure accurate monitoring. In this paper, a multi-attribute control chart is proposed, considering the use of empirical control limits, instead of the theoretical ones, in order to improve its accuracy and lessen the small sample sizes effect. The performance of proposed approaches is analyzed by means of Monte Carlo simulation. The results suggest that the performance of the empirical designs is better than the theoretical ones in all tested cases. Finally, the results of monitoring FSW process data are detailed. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-01 |
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=S0104-92242018000400474 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-92242018000400474 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0104-9224/si2304.03 |
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 Soldagem |
publisher.none.fl_str_mv |
Associação Brasileira de Soldagem |
dc.source.none.fl_str_mv |
Soldagem & Inspeção v.23 n.4 2018 reponame:Revista soldagem & inspeção (Online) instname:Associação Brasileira de Soldagem (ABS) instacron:ABS |
instname_str |
Associação Brasileira de Soldagem (ABS) |
instacron_str |
ABS |
institution |
ABS |
reponame_str |
Revista soldagem & inspeção (Online) |
collection |
Revista soldagem & inspeção (Online) |
repository.name.fl_str_mv |
Revista soldagem & inspeção (Online) - Associação Brasileira de Soldagem (ABS) |
repository.mail.fl_str_mv |
||revista-si@abs-soldagem.org.br |
_version_ |
1754213004305498112 |