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Multi-objective optimization analysis of cutting parameters when drilling composite materials with special geometry drills

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Multi-objective optimization analysis of cutting parameters when drilling composite materials with special geometry drills

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dc.contributor.author Feito-Sánchez, Norberto es_ES
dc.contributor.author Muñoz-Sánchez, A. es_ES
dc.contributor.author Diaz-Alvarez, A. es_ES
dc.contributor.author Miguelez, M. H. es_ES
dc.date.accessioned 2020-10-05T06:46:53Z
dc.date.available 2020-10-05T06:46:53Z
dc.date.issued 2019-10-01 es_ES
dc.identifier.issn 0263-8223 es_ES
dc.identifier.uri http://hdl.handle.net/10251/151077
dc.description.abstract [EN] The cutting tool geometry is strongly influencing damage induced during drilling of composite materials. The searching of new and optimum geometries reducing the damage on the laminates is still a challenge for the scientific community and industry. This study focuses on drilling woven CFRP laminates with four different tool geometries, analyzing the influence of the cutting parameters on the cutting forces and delamination damage. The work is divided in three phases; the first phase carries out a full factorial design of experiments conducted to quantify the significance of each process parameter as well as its interaction, on the generation of delamination at the hole entry and exit as well as the thrust force and torque. The second phase uses the response surface methodology (RSM) to establish the relationships between each output variable and the input variables based on ANOVA results. Finally, a multi-objective optimization strategy has been presented using the fitting equations to select optimum ranges of design parameters that can minimize collectively the aforementioned output variables. Ultimate objective is the process improvement toward negligible defects during drilling of woven CFRP composites. es_ES
dc.description.sponsorship The researchers are indebted to the Ministerio de Economía y Empresa de España (Projects DPI2017-89197-C2-1-R and DPI2017- 89197-C2-2-R) for the financial support which permitted to conduct part of this work as well as the Ministerio the Ciencia, Innovación y Universidades (Juan de la Cierva program with the reference FJCI2017-34910) es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Composite Structures es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject CFRP composites es_ES
dc.subject Drilling es_ES
dc.subject Drill bit es_ES
dc.subject Multi-objective process optimization es_ES
dc.subject.classification INGENIERIA DE LOS PROCESOS DE FABRICACION es_ES
dc.title Multi-objective optimization analysis of cutting parameters when drilling composite materials with special geometry drills es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compstruct.2019.111187 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-89197-C2-2-R/ES/TALADRADO DE COMPONENTES HIBRIDOS CFRPS%2FTI Y TOLERANCIA AL DAÑO DEBIDO A MECANIZADO DURANTE EL COMPORTAMIENTO EN SERVICIO DE UNIONES ESTRUCTURALES AERONAUTICAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//FJCI-2017-34910/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.description.bibliographicCitation Feito-Sánchez, N.; Muñoz-Sánchez, A.; Diaz-Alvarez, A.; Miguelez, MH. (2019). Multi-objective optimization analysis of cutting parameters when drilling composite materials with special geometry drills. Composite Structures. 225:1-11. https://doi.org/10.1016/j.compstruct.2019.111187 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.compstruct.2019.111187 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 11 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 225 es_ES
dc.relation.pasarela S\400996 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES


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