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dc.contributor.authorSitthi-Amorn, Pitchaya
dc.contributor.authorRamos, Javier E.
dc.contributor.authorWangy, Yuwang
dc.contributor.authorKwan, Joyce
dc.contributor.authorLan, Justin
dc.contributor.authorWang, Wenshou
dc.contributor.authorMatusik, Wojciech
dc.date.accessioned2016-01-19T02:13:21Z
dc.date.available2016-01-19T02:13:21Z
dc.date.issued2015-08
dc.identifier.issn07300301
dc.identifier.urihttp://hdl.handle.net/1721.1/100913
dc.description.abstractWe have developed a multi-material 3D printing platform that is high-resolution, low-cost, and extensible. The key part of our platform is an integrated machine vision system. This system allows for self-calibration of printheads, 3D scanning, and a closed-feedback loop to enable print corrections. The integration of machine vision with 3D printing simplifies the overall platform design and enables new applications such as 3D printing over auxiliary parts. Furthermore, our platform dramatically expands the range of parts that can be 3D printed by simultaneously supporting up to 10 different materials that can interact optically and mechanically. The platform achieves a resolution of at least 40 μm by utilizing piezoelectric inkjet printheads adapted for 3D printing. The hardware is low cost (less than $7,000) since it is built exclusively from off-the-shelf components. The architecture is extensible and modular -- adding, removing, and exchanging printing modules can be done quickly. We provide a detailed analysis of the system's performance. We also demonstrate a variety of fabricated multi-material objects.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant CCF-1138967)en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (Grant N66001-12-1-4242)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2766962en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleMultiFab: a machine vision assisted platform for multi-material 3D printingen_US
dc.typeArticleen_US
dc.identifier.citationPitchaya Sitthi-Amorn, Javier E. Ramos, Yuwang Wangy, Joyce Kwan, Justin Lan, Wenshou Wang, and Wojciech Matusik. 2015. MultiFab: a machine vision assisted platform for multi-material 3D printing. ACM Trans. Graph. 34, 4, Article 129 (July 2015), 11 pages.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorSitthi-Amorn, Pitchayaen_US
dc.contributor.mitauthorRamos, Javier E.en_US
dc.contributor.mitauthorWangy, Yuwangen_US
dc.contributor.mitauthorKwan, Joyceen_US
dc.contributor.mitauthorLan, Justinen_US
dc.contributor.mitauthorWang, Wenshouen_US
dc.contributor.mitauthorMatusik, Wojciechen_US
dc.relation.journalACM Transactions on Graphicsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsSitthi-Amorn, Pitchaya; Ramos, Javier E.; Wangy, Yuwang; Kwan, Joyce; Lan, Justin; Wang, Wenshou; Matusik, Wojciechen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0212-5643
mit.licenseOPEN_ACCESS_POLICYen_US


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