dc.creator | ESMERALDA RAMIREZ MENDEZ | |
dc.creator | MARIO CANTU SIFUENTES | |
dc.creator | David Salvador González González | |
dc.creator | ARGELIA FABIOLA MIRANDA PEREZ | |
dc.creator | ROLANDO JAVIER PRAGA ALEJO | |
dc.date | 2018-12-31 | |
dc.date.accessioned | 2023-07-20T18:56:51Z | |
dc.date.available | 2023-07-20T18:56:51Z | |
dc.identifier | http://comimsa.repositorioinstitucional.mx/jspui/handle/1022/333 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7721101 | |
dc.description | 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. | |
dc.format | application/pdf | |
dc.language | eng | |
dc.relation | citation:Esmeralda Ramírez-Méndez, Mario Cantu-Sifuentes, David Salvador González-González, Argelia Fabiola Miranda-Pérez, Rolando Javier Praga-Alejo. A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes. Soldagem & Inspeção. 2018;23(4):474-484 https://doi.org/10.1590/0104-9224/SI2304.03. ISSN 1980-6973 (Online) | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.subject | info:eu-repo/classification/Artículo/Attribute control chart | |
dc.subject | info:eu-repo/classification/cti/7 | |
dc.subject | info:eu-repo/classification/cti/33 | |
dc.subject | info:eu-repo/classification/cti/3310 | |
dc.subject | info:eu-repo/classification/cti/3310 | |
dc.title | A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion | |
dc.audience | students | |
dc.audience | researchers | |