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A multidisciplinary framework to support the design of injection mold tools

2013-09-12Artigo científico Acesso restrito
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorFerreira, Irene
dc.contributor.authorCabral, J. A.
dc.contributor.authorSaraiva, Pedro
dc.contributor.authorOliveira, M. C.
dc.date.accessioned2026-06-12T15:28:48Z
dc.date.available2026-06-12T15:28:48Z
dc.date.issued2013-09-12
dc.description.abstractThe design of injection mold tools is a complex process for which market pressures demand ever-shorter development time and higher quality level. Thus, it is considered imperative to adopt new methods and tools to support the design process, in order to achieve a more effective mold design solution. Based on this assumption, a multidisciplinary framework was developed, centered on Design for Six Sigma methodology and reinforced with a set of highly valued techniques, namely: the European Customer Satisfaction, the Axiomatic Design and the Multidisciplinary Design Optimization. As a result, a platform was built to support the design of any mold tool without undercuts, which tackles the design of an injection mold as a fully integrated multidisciplinary optimization problem, oriented by customer preferences and their impositions. A set of specific analysis sub-modules is integrated through an overseeing optimization code system, responsible for the numerical simulation of the injection process. This platform was validated through the comparison with an existing mold, whose results attained highlight the great potential of the proposed framework to achieve mold design improvement. In particular, the value of mold solutions generated led to a global improvement on mold performance by 5 %.eng
dc.description.sponsorshipWe are grateful to CEMUC for their support regarding the availability of computational resources, and to FCT and FLAD for providing financial support to this research, regarding PhD grant (SFRH/BD/27370/2006) and participation at MIT, respectively.
dc.identifier.citationFerreira, I., Cabral, J.A., Saraiva, P. et al. A multidisciplinary framework to support the design of injection mold tools. Struct Multidisc Optim 49, 501–521 (2014). https://doi.org/10.1007/s00158-013-0990-x.
dc.identifier.doi10.1007/s00158-013-0990-x
dc.identifier.eissn1615-1488
dc.identifier.issn1615-147X
dc.identifier.urihttp://hdl.handle.net/10400.8/16414
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationDESIGN FOR SIX SIGMA APLICADO À CONCEPÇÃO E DESENVOLVIMENTO DE MOLDES METÁLICOS
dc.relation.hasversionhttps://link.springer.com/article/10.1007/s00158-013-0990-x
dc.relation.ispartofStructural and Multidisciplinary Optimization
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectInjection molds design
dc.subjectMultidisciplinary design optimization
dc.subjectDesign for six sigma
dc.subjectGenetic algorithms
dc.titleA multidisciplinary framework to support the design of injection mold toolseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberSFRH/BD/27370/2006
oaire.awardTitleDESIGN FOR SIX SIGMA APLICADO À CONCEPÇÃO E DESENVOLVIMENTO DE MOLDES METÁLICOS
oaire.awardURIhttp://hdl.handle.net/10400.8/16413
oaire.citation.endPage521
oaire.citation.issue3
oaire.citation.startPage501
oaire.citation.titleStructural and Multidisciplinary Optimization
oaire.citation.volume49
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFerreira
person.givenNameIrene
person.identifier.ciencia-id3311-2C03-D27F
person.identifier.orcid0000-0002-4366-9025
relation.isAuthorOfPublicationb57e66fd-95b8-4ffd-ad58-f918c7cd7552
relation.isAuthorOfPublication.latestForDiscoveryb57e66fd-95b8-4ffd-ad58-f918c7cd7552
relation.isProjectOfPublicationb1d6c7d8-8163-458f-90e7-50b19bf29873
relation.isProjectOfPublication.latestForDiscoveryb1d6c7d8-8163-458f-90e7-50b19bf29873

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The design of injection mold tools is a complex process for which market pressures demand ever-shorter development time and higher quality level. Thus, it is considered imperative to adopt new methods and tools to support the design process, in order to achieve a more effective mold design solution. Based on this assumption, a multidisciplinary framework was developed, centered on Design for Six Sigma methodology and reinforced with a set of highly valued techniques, namely: the European Customer Satisfaction, the Axiomatic Design and the Multidisciplinary Design Optimization. As a result, a platform was built to support the design of any mold tool without undercuts, which tackles the design of an injection mold as a fully integrated multidisciplinary optimization problem, oriented by customer preferences and their impositions. A set of specific analysis sub-modules is integrated through an overseeing optimization code system, responsible for the numerical simulation of the injection process. This platform was validated through the comparison with an existing mold, whose results attained highlight the great potential of the proposed framework to achieve mold design improvement. In particular, the value of mold solutions generated led to a global improvement on mold performance by 5 %.
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