Indirect Adhesion Wear Parametric Analysis in the Dry Turning of UNS A97075 Alloys

dc.centroEscuela de Ingenierías Industrialeses_ES
dc.contributor.authorMartin-Bejar, Sergio
dc.contributor.authorTrujillo-Vilches, Francisco Javier
dc.contributor.authorSevilla-Hurtado, Lorenzo
dc.contributor.authorMarcos Bárcena, Mariano
dc.date.accessioned2017-07-05T11:18:38Z
dc.date.available2017-07-05T11:18:38Z
dc.date.created2017-06
dc.date.issued2017-07-05
dc.departamentoIngeniería Civil, de Materiales y Fabricación
dc.description.abstractIn this work a study of the influence of cutting parameters (cutting speed, feed and depth of cut) on indirect adhesion tool wear in the dry machining of UNS A97075 Al-Zn alloys has been made. In addition, an experimental methodology for a first approach to the measurement of Built-Up-Layer on the tool has been developed. Finally, different parametric models have been obtained, which allow predicting the BUL evolution as a function of cutting parameters applied.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.identifier.orcidhttp://orcid.org/0000-0002-4551-1109es_ES
dc.identifier.urihttp://hdl.handle.net/10630/14116
dc.language.isoenges_ES
dc.relation.eventdateJunio de 2017es_ES
dc.relation.eventplaceVigoes_ES
dc.relation.eventtitle7th Manufacturing Engineering Society International Conferencees_ES
dc.rightsby-nc-nd
dc.rights.accessRightsopen accesses_ES
dc.subjectAluminio - Aleacioneses_ES
dc.subjectIngenieria de producciónes_ES
dc.subject.otherAluminium alloyses_ES
dc.subject.otherBuilt Up Layeres_ES
dc.subject.otherUNS A97075-T6es_ES
dc.subject.otherDry Machininges_ES
dc.subject.otherIndirect Adhesion Weares_ES
dc.titleIndirect Adhesion Wear Parametric Analysis in the Dry Turning of UNS A97075 Alloyses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationd39a41e9-02f3-46ff-bb98-c7dcd63b67ff
relation.isAuthorOfPublication8b510515-db31-4feb-b110-3db324ddf546
relation.isAuthorOfPublication.latestForDiscoveryd39a41e9-02f3-46ff-bb98-c7dcd63b67ff

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