Visual Feedback for Large Scale Additive Manufacturing Process

dc.contributor.advisor	Gravdahl, Jan Tommy
dc.contributor.advisor	Danielsen Evjemo, Linn
dc.contributor.author	Jackwitz, Jørgen
dc.date.accessioned	2018-09-05T14:02:39Z
dc.date.available	2018-09-05T14:02:39Z
dc.date.created	2018-06-12
dc.date.issued	2018
dc.identifier	ntnudaim:18659
dc.identifier.uri	http://hdl.handle.net/11250/2561063
dc.description.abstract	Large-scale Additive Manufacturing is blossoming and brings new challenges to the Additive Manufacturing scene. For larger constructions, material deformation from weight, environmental disturbances and extrusion may disturb the AM process. This thesis looks for a way to measure these errors. A proof of concept software workflow has been created to measure road-width and height of the extruded material directly after extrusion using a simple edge detection algorithm. Testing the workflow on a life-size robot arm and a practical extrusion test shows promise for future applications and improvements.
dc.language	eng
dc.publisher	NTNU
dc.subject	Industriell kybernetikk (2 årig)
dc.title	Visual Feedback for Large Scale Additive Manufacturing Process
dc.type	Master thesis