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Guidelines for Machine Tool Sensing and Smart Manufacturing Integration

2020Conference object Open access
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dc.contributor.authorCosta, S.
dc.contributor.authorSilva, Francisco J. G
dc.contributor.authorCampilho, R.D.S.G.
dc.contributor.authorPereira, Teresa
dc.date.accessioned2022-01-14T11:57:36Z
dc.date.available2022-01-14T11:57:36Z
dc.date.issued2020
dc.description30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021) 15-18 June 2021, Athens, Greece.pt_PT
dc.description.abstractNowadays the Industry is becoming increasingly competitive with the emergence of even more advanced technologies. This environment leads the companies to look for a bigger availability of the assets, a higher quality of the products and consequently less costs. Thus, is because of this purpose that Maintenance is becoming even more fundamental. The focus of this paper was to develop a strategy of Predictive Maintenance on a Machine Tool with the aim of reducing the unplanned stops, increasing the productivity and creating the bases for an Industry 4.0 environment in the short term. Thus, a model has been created in order to fulfil this goal. The first step was the selection of the critical component of the machine tool that would be studied. In the next phase the variables that will be monitored were selected and their trigger limits. Finally, the necessary components to monitor this system were chosen. In order to reach the objective, a system of condition-based maintenance where the acoustic emissions and vibration of the bearing of a machine tool were monitor was proposed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCosta, S., Silva, F. J. G., Campilho, R. D. S. G., & Pereira, T. (2020). Guidelines for Machine Tool Sensing and Smart Manufacturing Integration. Procedia Manufacturing, 51, 251-257. DOI 10.1016/j.promfg.2020.10.036pt_PT
dc.identifier.doi10.1016/j.promfg.2020.10.036pt_PT
dc.identifier.issn2351-9789
dc.identifier.urihttp://hdl.handle.net/10400.22/19488
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2351978920318916pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMachiningpt_PT
dc.subjectMachine Toolspt_PT
dc.subjectMaintenancept_PT
dc.subjectIndustrypt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectSmart Manufacturingpt_PT
dc.subjectVibrationpt_PT
dc.subjectAcoustic Emissionpt_PT
dc.subjectBearingpt_PT
dc.titleGuidelines for Machine Tool Sensing and Smart Manufacturing Integrationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlace30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021) 15-18 June 2021, Athens, Greece.pt_PT
oaire.citation.endPage257pt_PT
oaire.citation.startPage251pt_PT
oaire.citation.titleProcedia Manufacturingpt_PT
oaire.citation.volume51pt_PT
person.familyNameSilva
person.familyNameCampilho
person.familyNameRibeiro Pereira
person.givenNameFrancisco
person.givenNameRaul Duarte Salgueiral Gomes
person.givenNameMaria Teresa
person.identifier1422904
person.identifierU-2265-2018
person.identifier.ciencia-idB81C-4758-2D59
person.identifier.ciencia-id0314-43B9-03D4
person.identifier.ciencia-id7A16-77DE-410A
person.identifier.orcid0000-0001-8570-4362
person.identifier.orcid0000-0003-4167-4434
person.identifier.orcid0000-0003-4556-9578
person.identifier.ridI-5708-2015
person.identifier.scopus-author-id56870827300
person.identifier.scopus-author-id56624034400
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd050c135-4d9d-4fb2-97d1-cac97be3f6b9
relation.isAuthorOfPublication4decb370-eb85-4ee1-987f-ec328565ea07
relation.isAuthorOfPublication3f7f1146-378f-4f1d-80ba-d499f3bd114b
relation.isAuthorOfPublication.latestForDiscovery4decb370-eb85-4ee1-987f-ec328565ea07

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