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Numerical study on injection parameters optimization of thin wall and biodegradable polymers parts

datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorSantos, Cyril
dc.contributor.authorMendes, A
dc.contributor.authorCarreira, P.
dc.contributor.authorMateus, Artur
dc.contributor.authorMalça, C.
dc.date.accessioned2025-07-24T11:20:40Z
dc.date.available2025-07-24T11:20:40Z
dc.date.issued2017-07-21
dc.description.abstractNowadays, the molds industry searches new markets, with diversified and added value products. The concept associated to the production of thin walled and biodegradable parts mostly manufactured by injection process has assumed a relevant importance due to environmental and economic factors. The growth of a global consciousness about the harmful effects of the conventional polymers in our life quality associated with the legislation imposed, become key factors for the choice of a particular product by the consumer. The target of this work is to provide an integrated solution for the injection of parts with thin walls and manufactured using biodegradable materials. This integrated solution includes the design and manufacture processes of the mold as well as to find the optimum values for the injection parameters in order to become the process effective and competitive. For this, the Moldflow software was used. It was demonstrated that this computational tool provides an effective responsiveness and it can constitute an important tool in supporting the injection molding of thin-walled and biodegradable parts.eng
dc.description.sponsorshipThis research work was supported by the Portuguese Foundation for Science and Technology (FCT) through the Project reference UID/Multi/04044/2013.
dc.identifier.citationSantos, Cyril & Mendes, A. & Carreira, Pedro & Mateus, Artur & Malça, Cândida. (2017). Numerical study on injection parameters optimization of thin wall and biodegradable polymers parts. AIP Conference Proceedings. 1863. 520004. 10.1063/1.4992668
dc.identifier.doi10.1063/1.4992668
dc.identifier.issn0094-243X
dc.identifier.urihttp://hdl.handle.net/10400.8/13771
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAuthor(s)
dc.relationCentre for Rapid and Sustainable Product Development
dc.relation.hasversionhttps://portal.issn.org/resource/ISSN/0094-243X
dc.relation.ispartofAIP Conference Proceedings
dc.rights.uriN/A
dc.subjectPolymers
dc.subjectOptical fabrication
dc.subjectIndustry
dc.subjectLegislation and regulations
dc.titleNumerical study on injection parameters optimization of thin wall and biodegradable polymers partseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleCentre for Rapid and Sustainable Product Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F04044%2F2013/PT
oaire.citation.conferenceDate2016-09-19
oaire.citation.conferencePlaceRhodes, Greece
oaire.citation.endPage5
oaire.citation.startPage1
oaire.citation.titleINTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016)
oaire.citation.volume1863
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSantos
person.familyNameMateus
person.givenNameCyril
person.givenNameArtur
person.identifier.ciencia-id2C11-6107-8C6B
person.identifier.ciencia-id0E1A-9A57-E79A
person.identifier.orcid0000-0001-8155-5005
person.identifier.orcid0000-0003-2483-9153
person.identifier.ridH-3387-2018
person.identifier.scopus-author-id57191992015
person.identifier.scopus-author-id14028690000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication84e7cfbd-f943-43ce-82c4-2355dd1ced74
relation.isAuthorOfPublication1dfafb6b-cec8-4769-ac8e-76dbd0209077
relation.isAuthorOfPublication.latestForDiscovery84e7cfbd-f943-43ce-82c4-2355dd1ced74
relation.isProjectOfPublication9c625981-b187-4078-8cb2-d84b0d21a477
relation.isProjectOfPublication.latestForDiscovery9c625981-b187-4078-8cb2-d84b0d21a477

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