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dc.contributor.authorRamos Barbero, Basilio 
dc.contributor.authorPérez Azcona, Jorge .
dc.contributor.authorGonzález Pérez, Jorge .
dc.date.accessioned2017-10-26T08:44:11Z
dc.date.available2017-10-26T08:44:11Z
dc.date.issued2015-10
dc.identifier.issn0268-3768
dc.identifier.urihttp://hdl.handle.net/10259/4647
dc.description.abstractWe propose a methodology in this study for the analysis and the optimization of assembly tolerances. A combination of three components, it involves the use of 3D CAT software, a table referred to as a “dimensional hierarchization matrix” and a tolerance optimization algorithm. The Antolin Group, a Spanish multinational in the automobile components sector, employs this system to optimize tolerance values and to reduce manufacturing costs. The matrix was designed to enable easy identification, in a single table, of all requirements that fail to meet the specifications in the different approximations, prior to the definition of the dimensional and the geometric tolerances that comply with the functional requirements, and to identify which tolerances contribute most to variations in all of the functional conditions of the mechanism. Through its different iterations, this matrix allows us to see which of the tolerances should first be modified to optimize the design requirement specifications. A tolerance optimization algorithm was also defined, which functions with the data from the dimensional hierarchization matrix.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherSpringeren
dc.relation.ispartofThe International Journal of Advanced Manufacturing Technology. 2015, V. 81, n. 1–4, p. 371–385en
dc.subjectTolerance allocationen
dc.subjectTolerance analysisen
dc.subjectFunctional dimensioning and tolerancingen
dc.subject3D CATen
dc.subject3D assemblyen
dc.subjectTolerance optimizationen
dc.subject.otherDiseñoes
dc.subject.otherDesignen
dc.titleA tolerance analysis and optimization methodology: the combined use of 3D CAT, a dimensional hierarchization matrix and an optimization algorithmen
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttps://doi.org/10.1007/s00170-015-7068-4
dc.identifier.doi10.1007/s00170-015-7068-4
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen


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