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Topological Shear Stress Optimisation of Micro-CT Based Scaffolds

2014-10-23Comunicação em conferência Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorAlmeida, Henrique A.
dc.contributor.authorBártolo, Paulo J.
dc.date.accessioned2026-04-29T09:19:05Z
dc.date.available2026-04-29T09:19:05Z
dc.date.issued2014-10-23
dc.descriptionPaper No: ESDA2014-20433.
dc.description.abstractAdditive manufacturing technologies are being used to fabricate scaffolds with controlled architecture for tissue engineering applications. These technologies combined with computer-aided design systems enable to produce three-dimensional structures layer-by-layer in a multitude of materials. Actual prediction of the effective mechanical properties of scaffolds produced by Additive manufacturing systems, is very important for tissue engineering applications. One of the existing computer based techniques for scaffold design is topological optimisation. The goal of topological optimisation is to find the best use of material for a body that is subjected to either a single load or a multiple load distribution. This paper proposes a topological optimisation scheme based on existing micro-CT data in order to obtain the ideal topological architectures of scaffolds, maximising its mechanical behaviour under shear stress solicitations. This approach is based on micro-CT data of real biological tissues to create the loading (shear stress) and constraint surfaces of the scaffold during the topological optimisation process. This particular topological optimisation scheme uses the surface boundaries to produce novel models with different characteristics, which are different from the initial micro-CT models. This approach enables to produce valid biomimetic scaffold topologies for tissue engineering applications.eng
dc.description.sponsorship
dc.identifier.citationAlmeida, H. A., & Bártolo, P. J. (2014). Topological Shear Stress Optimisation of Micro-CT Based Scaffolds. ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. Volume 1: Advanced Energy Systems; Advanced Manufacturing; Biomedical Engineering; Design Engineering. ESDA2014-20433. https://doi.org/10.1115/ESDA2014-20433
dc.identifier.doi10.1115/esda2014-20433
dc.identifier.isbn978-0-7918-4583-7
dc.identifier.urihttp://hdl.handle.net/10400.8/16214
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAmerican Society of Mechanical Engineers
dc.relation.hasversionhttps://asmedigitalcollection.asme.org/ESDA/proceedings-abstract/ESDA2014/45837/V001T06A008/232065
dc.relation.ispartofVolume 1: Applied Mechanics; Automotive Systems; Biomedical Biotechnology Engineering; Computational Mechanics; Design; Digital Manufacturing; Education; Marine and Aerospace Applications
dc.rights.uriN/A
dc.subjectScaffolds
dc.subjectMicro-CT
dc.subjectTopological optimization
dc.subjectShear stress
dc.subjectTissue engineering
dc.subjectAdditive manufacturing
dc.titleTopological Shear Stress Optimisation of Micro-CT Based Scaffoldseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2014-06
oaire.citation.conferencePlaceCopenhaga, Dinamarca
oaire.citation.titleASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis
oaire.citation.volume1
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlmeida
person.familyNameBartolo
person.givenNameHenrique de Amorim
person.givenNamePaulo
person.identifier46395
person.identifier203086
person.identifier.ciencia-id8F1D-4370-84BE
person.identifier.ciencia-id5810-9BF9-4522
person.identifier.orcid0000-0002-1367-2290
person.identifier.orcid0000-0003-3683-726X
person.identifier.ridD-6275-2012
person.identifier.ridF-2421-2013
person.identifier.scopus-author-id55938867800
person.identifier.scopus-author-id6603353041
relation.isAuthorOfPublicationf3bfdd6a-e959-4e13-8a20-fb1b286a3dd0
relation.isAuthorOfPublicationab44d1ae-46d0-45c2-b19f-200024b5a990
relation.isAuthorOfPublication.latestForDiscoveryf3bfdd6a-e959-4e13-8a20-fb1b286a3dd0

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