| dc.contributor.author | Njåstad, Eirik Bjørndal | |
| dc.contributor.author | Munthe-Kaas, Njål | |
| dc.contributor.author | Egeland, Olav | |
| dc.date.accessioned | 2019-06-11T06:52:11Z | |
| dc.date.available | 2019-06-11T06:52:11Z | |
| dc.date.created | 2019-05-22T12:50:29Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | IFAC-PapersOnLine. 2018, 51 (22), 435-440. | nb_NO |
| dc.identifier.issn | 2405-8963 | |
| dc.identifier.uri | http://hdl.handle.net/11250/2600401 | |
| dc.description.abstract | This paper presents an approach for a complete scanning of ship propeller blades. Inline quality control for advanced manufacturing or inspection of operational propeller blades requires automated and highly accurate 3D measurement systems. By combining an industrial robot with a high accuracy 3D camera and a laser distance sensor, the task at hand can be fully automated. The integrated system is described in detail, with focus on initial estimation of the propeller blade position and avoiding collisions with the blade while scanning. Validating experiments are performed where a highly skewed ship propeller blade is scanned with a resolution of 0.1 mm. | nb_NO |
| dc.description.abstract | Robotic Autoscanning of Highly Skewed Ship Propeller Blades | nb_NO |
| dc.language.iso | eng | nb_NO |
| dc.publisher | International Federation of Automatic Control (IFAC) | nb_NO |
| dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S2405896318333020 | |
| dc.title | Robotic Autoscanning of Highly Skewed Ship Propeller Blades | nb_NO |
| dc.type | Journal article | nb_NO |
| dc.type | Peer reviewed | nb_NO |
| dc.description.version | publishedVersion | nb_NO |
| dc.subject.nsi | VDP::Teknologi: 500 | nb_NO |
| dc.subject.nsi | VDP::Technology: 500 | nb_NO |
| dc.source.pagenumber | 435-440 | nb_NO |
| dc.source.volume | 51 | nb_NO |
| dc.source.journal | IFAC-PapersOnLine | nb_NO |
| dc.source.issue | 22 | nb_NO |
| dc.identifier.doi | 10.1016/j.ifacol.2018.11.595 | |
| dc.identifier.cristin | 1699484 | |
| dc.relation.project | Norges forskningsråd: 261639 | nb_NO |
| dc.description.localcode | © 2018, IFAC (International Federation of Automatic Control). Hosting by Elsevier Ltd. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. Open Access in nature – no charge is made to individuals for reading or downloading. | nb_NO |
| cristin.unitcode | 194,64,92,0 | |
| cristin.unitname | Institutt for maskinteknikk og produksjon | |
| cristin.ispublished | true | |
| cristin.fulltext | postprint | |
| cristin.qualitycode | 1 | |
