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dc.date.accessioned2018-12-05T16:49:35Z-
dc.date.available2018-12-05T16:49:35Z-
dc.date.issued2018-10-
dc.identifier.urihttp://reini.utcv.edu.mx:80/handle/123456789/1276-
dc.descriptionPonencia presentada en el Congreso Internacional de Mantenimiento Industrial (COINMI) 2018, organizado por la Universidad Tecnológica del Centro de Veracruz.es_MX
dc.description.abstract"Currently, the competency-based model is applied at the undergraduate, for this reason, the instructor's function is to facilitate knowledge to students, who seek to apply it according to the scope of its application. This application is generally presented through prototypes, which can be devices similar to original models, their function is to generate a complement in the teaching process and that allows the verification of theoretical foundations, for this reason, students seek to expand the respective situations that can be solved in a context different from a classroom. The objective of this work is to build a didactic equipment for the verification of the phenomenon of elastic instability in materials, which can be replicated in materials laboratories, specifically in the area of mechanics. The design and commissioning of a didactic equipment to carry out the elastic instability test on 6061 aluminium columns was achieved, based on the four different structures for the testing of this phenomenon."es_MX
dc.languagespaes_MX
dc.publisherUniversidad Tecnológica del Centro de Veracruzes_MX
dc.rightshttp://creativecommons.org/licenses/by/4.0es_MX
dc.subjectMantenimiento Industriales_MX
dc.titleImplementación de mantenimiento predictivoes_MX
dc.typeinfo:eu-repo/semantics/lecturees_MX
dc.audiencegeneralPublices_MX
dc.rights.accessinfo:eu-repo/semantics/openAccesses_MX
dc.authorMARCO ANTONIO ZUÑIGA MARTINEZ*info:eu-repo/dai/mx/cvu/*94933es_MX
dc.authorALBERTO TUDON MARTINEZ*info:eu-repo/dai/mx/cvu/*411753es_MX
dc.areainfo:eu-repo/classification/cti/7es_MX
Aparece en las colecciones: COINMI 2018

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mantto_predictivo.pdf1.83 MBAdobe PDFVisualizar/Abrir
carta_mantto_predictivo.pdf26.08 kBAdobe PDFVisualizar/Abrir


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