Publicação
Computer-aided optimization in additive manufacturing: Processing parameters and 3D scaffold reconstruction
| dc.contributor.author | Alves, Nuno | |
| dc.contributor.author | Gaspar, Miguel Belbut | |
| dc.contributor.author | Pascoal-Faria, Paula | |
| dc.date.accessioned | 2026-03-06T15:17:53Z | |
| dc.date.available | 2026-03-06T15:17:53Z | |
| dc.date.issued | 2019-07-24 | |
| dc.description.abstract | Scaffolds are implantable bio-absorbable systems capable of regenerating osteoporotic bone or other native tissues. Additive Manufacturing processes are used to produce scaffolds with customized external shape and predefined internal morphology, allowing some control over pore size and distribution. Despite significant advances in Additive Manufacturing processes, the experimental optimization of processing parameters is time-consuming and expensive usually generating biomaterials waste. Moreover, the manufacturing of such polymeric or hybrid scaffolds requires time-consuming human supervision procedures. Subsequently, measurements of the scaffold’s architecture such as filament diameter, distance between two consecutive filaments, pore geometry and size, and total porosity are usually performed using computer tomography or microscopy, which also requires significant human and physical resources. This research work intends to overcome some aforementioned limitations through the development of a novel approach based on in-situ computer-aided optimization of the extrusion-based processing parameters. | eng |
| dc.identifier.citation | Nuno Alves, Miguel Belbut Gaspar, Paula Pascoal-Faria; Computer-aided optimization in additive manufacturing: Processing parameters and 3D scaffold reconstruction. AIP Conf. Proc. 24 July 2019; 2116 (1): 230005. https://doi.org/10.1063/1.5114231 | |
| dc.identifier.doi | 10.1063/1.5114231 | |
| dc.identifier.issn | 0094-243X | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/15802 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | AIP Publishing | |
| dc.relation | Centre for Rapid and Sustainable Product Development | |
| dc.relation.hasversion | https://pubs.aip.org/aip/acp/article/2116/1/230005/763451/Computer-aided-optimization-in-additive | |
| dc.relation.ispartof | AIP Conference Proceedings | |
| dc.relation.ispartof | CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST) | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Biomaterials | |
| dc.subject | Computed tomography | |
| dc.title | Computer-aided optimization in additive manufacturing: Processing parameters and 3D scaffold reconstruction | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UID/Multi/04044/2019 | |
| oaire.awardTitle | Centre for Rapid and Sustainable Product Development | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F04044%2F2019/PT | |
| oaire.citation.conferenceDate | 2018-09 | |
| oaire.citation.conferencePlace | Rhodes, Greece | |
| oaire.citation.endPage | 230005-5 | |
| oaire.citation.startPage | 230005-1 | |
| oaire.citation.title | AIP Conf. Proc. 2116, 230005 (2019) | |
| oaire.citation.volume | 2133 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Alves | |
| person.familyName | Pascoal-Faria | |
| person.givenName | Nuno | |
| person.givenName | Paula | |
| person.identifier | 452149 | |
| person.identifier.ciencia-id | 311E-1559-8F6C | |
| person.identifier.ciencia-id | E01D-874A-4145 | |
| person.identifier.orcid | 0000-0002-5016-0868 | |
| person.identifier.orcid | 0000-0003-1474-9496 | |
| person.identifier.rid | N-4073-2013 | |
| person.identifier.scopus-author-id | 7006403383 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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