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dc.contributor.authorMoltumyr, Andreas Hanssen
dc.contributor.authorArbo, Mathias Hauan
dc.contributor.authorGravdahl, Jan Tommy
dc.date.accessioned2021-09-02T07:28:51Z
dc.date.available2021-09-02T07:28:51Z
dc.date.created2020-08-13T13:43:43Z
dc.date.issued2020
dc.identifier.isbn978-1-7281-6419-9
dc.identifier.urihttps://hdl.handle.net/11250/2772371
dc.description.abstractThe use of additive manufacturing technology has grown considerably in the last decade. Starting from a futuristic idea, additive manufacturing has shown to be a great tool for rapid prototyping and has found its way into industry as a set of techniques for manufacturing highly customized parts. However, a great number of challenges remain if we are to have efficient and general additive manufacturing systems with high precision, low failure rates, and good strategies for detecting and dealing with part failures. In this paper, the current state-of-the-art on online monitoring and closed-loop control in fused filament fabrication and directed energy deposition with camera and laser scanning is presented. A discussion on the challenges and possible ways of enabling full online part geometry monitoring in AM with articulated manipulators and multi-axis deposition is also provided.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofProceeding of 3rd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS2020)
dc.titleTowards Vision-based Closed-loop Additive Manufacturing: A Reviewen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.identifier.doihttp://dx.doi.org/10.1109/SIMS49386.2020.9121578
dc.identifier.cristin1823182
dc.relation.projectNorges forskningsråd: 237900en_US
dc.description.localcode© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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