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dc.contributor.authorGamonal Repiso, Pablo
dc.contributor.authorSánchez Soto, Miguel
dc.contributor.authorSantos Pinto, Soledad
dc.contributor.authorMaspoch Rulduà, Mª Lluïsa
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciència dels Materials i Enginyeria Metal·lúrgica
dc.date.accessioned2019-05-29T07:39:51Z
dc.date.available2021-06-01T00:36:30Z
dc.date.issued2019-06
dc.identifier.citationGamonal, P. [et al.]. Improvement of the replication quality of randomly micro-textured injection-moulding components using a multi-scale surface analysis. "Journal of Manufacturing Processes", Juny 2019, vol. 42, p. 67-81.
dc.identifier.issn1526-6125
dc.identifier.urihttp://hdl.handle.net/2117/133618
dc.description.abstractIn this work, the relations between the replication quality of random, coarse textured, surfaces with the injection-moulding process has been analysed through 3D areal characterisation techniques. The multi-scale surface approach has been applied to effectively separate the main surface components, roughness, waviness and form. Amplitude, functional, hybrid and spatial parameters, as well as alternative surface characteristics such as the number of micro-cavities (NG), grain area () and grain volume (GV) were used as a way to determine the influence of the manufacturing process on the replication quality of the mould texture, either at the macro- or micro-scale. A model to quantify the effect of the injection-moulding parameters on surface texture replication has been obtained through a 24 factorial design of experiments. It was found that the holding pressure was the main parameter to enhance the mould texture replication, followed by the melt and mould temperatures. The injection volumetric flow rate did not have a significant effect on the texture replication ratio. The surface analysis, at the human eye resolution, only allows the detection of macro-defects such as form deviation. On the other hand, the surface characterisation at the micro-scale allows the detection of roughness differences, up to 30% on average, as a function of the injection conditions
dc.format.extent15 p.
dc.language.isoeng
dc.publisherElsevier Ltd
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria dels materials
dc.subject.lcshPlastics--Molding
dc.subject.lcshMicrostructure
dc.subject.otherInjection moulding
dc.subject.otherMicro-texture 3D surface analysis
dc.subject.otherMulti-scale analysis
dc.titleImprovement of the replication quality of randomly micro-textured injection-moulding components using a multi-scale surface analysis
dc.typeArticle
dc.subject.lemacPlàstics -- Emmotllament per injecció
dc.subject.lemacMicroestructura
dc.contributor.groupUniversitat Politècnica de Catalunya. e-PLASCOM - Plàstics i Compòsits Ecològics
dc.identifier.doi10.1016/j.jmapro.2019.04.010
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1526612518317304
dc.rights.accessOpen Access
local.identifier.drac24256624
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/MAT2016-80045-R
local.citation.authorGamonal, P.; Sanchez-Soto, M.; Santos-Pinto, S.; Maspoch, M.
local.citation.publicationNameJournal of Manufacturing Processes
local.citation.volume42
local.citation.startingPage67
local.citation.endingPage81


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain