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dc.contributor.authorWall, Ludwig Wilhelm
dc.contributor.authorJacobson, Alec
dc.contributor.authorVogel, Daniel
dc.contributor.authorSchneider, Oliver 14:26:47 (GMT) 14:26:47 (GMT)
dc.description© Owner/Author | ACM 2021. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems,
dc.description.abstractWe present a software system for fused deposition modelling 3D printing that replaces infill material with scrap to reduce material and energy consumption. Example scrap objects include unused 3D prints from prototyping and calibration, household waste like coffee cups, and off-cuts from other fabrication projects. To achieve this, our system integrates into an existing CAD workflow and manages a database of common items, previous prints, and manually entered objects. While modelling in a standard CAD application, the system suggests objects to insert, ranked by how much infill material they could replace. This computation extends an existing nesting algorithm to determine which objects fit, optimize their alignment, and adjust the enclosing mesh geometry. While printing, the system uses custom tool-paths and animated instructions to enable anyone nearby to manually insert the scrap material.en
dc.description.sponsorshipNSERC Discovery Grant 2018-05187 || Canada Foundation for Innovation Infrastructure Fund 33151 “Facility for Fully Interactive Physio-digital Spaces” || Ontario Early Researcher Award ER16-12-184en
dc.publisherACM Pressen
dc.relation.ispartofseriesCHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems;665
dc.subjectgeometry processingen
dc.titleScrappy: Using Scrap Material as Infill to Make Fabrication More Sustainableen
dc.typeConference Paperen
dcterms.bibliographicCitationLudwig Wilhelm Wall, Alec Jacobson, Daniel Vogel, and Oliver Schneider. 2021. Scrappy: Using Scrap Material as Infill to Make Fabrication More Sustainable. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 665, 1–12. DOI:
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2David R. Cheriton School of Computer Scienceen

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