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dc.contributor.authorAttene, Marcoen_US
dc.contributor.authorBerti, Tizianoen_US
dc.contributor.authorCabiddu, Danielaen_US
dc.contributor.authorGarosi, Antonioen_US
dc.contributor.authorLivesu, Marcoen_US
dc.contributor.authorPasztor, Zsolten_US
dc.contributor.authorPetrovszki, Danielen_US
dc.contributor.authorRanieri, Andreaen_US
dc.contributor.editorCabiddu, Danielaen_US
dc.contributor.editorSchneider, Teseoen_US
dc.contributor.editorAllegra, Darioen_US
dc.contributor.editorCatalano, Chiara Evaen_US
dc.contributor.editorCherchi, Gianmarcoen_US
dc.contributor.editorScateni, Riccardoen_US
dc.date.accessioned2022-11-08T11:44:46Z
dc.date.available2022-11-08T11:44:46Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-191-5
dc.identifier.issn2617-4855
dc.identifier.urihttps://doi.org/10.2312/stag.20221266
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20221266
dc.description.abstractIn metal 3D printing, and in particular in the production of dental implants and prosthodontics, a careful geometric analysis of the parts is key to maximize the overall throughput and minimize fabrication costs. Herewith we describe the main results obtained within the European Project DIGITBrain/ProMED, whose objective is to optimize the production of customized metal medical devices. ProMED delivers a digital twin of an existing production pipeline and allows for the quick simulation of a large number of fabrication scenarios. This is achieved thanks to a clever geometric analysis driving the optimal orientation of the part in the platform combined with a geometry-based process simulator that makes it possible to estimate fabrication time, material consumption, human labour, and other useful information that greatly supports users in the task of optimizing the overall fabrication performances from many meaningful points of view. Compared to standard simulation software provided by printer vendors, our approach can be orders of magnitude faster: this makes it possible to analyze and compare a great number of scenarios to support companies in their day-by-day decisions for real productions.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Robotic planning
dc.subjectComputing methodologies
dc.subjectRobotic planning
dc.titleProMED: Production Optimization for Additive Manufacturing of Medical Devicesen_US
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/stag.20221266
dc.identifier.pages127-129
dc.identifier.pages3 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License