dc.rights.license | Attribution 4.0 International | * |
dc.contributor.author | Alonso, Marcos | |
dc.contributor.author | Izaguirre Altuna, Alberto | |
dc.contributor.other | Andonegui Artegui, Imanol | |
dc.contributor.other | Graña Romay, Manuel | |
dc.date.accessioned | 2020-09-23T06:58:49Z | |
dc.date.available | 2020-09-23T06:58:49Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1424-8220 | en |
dc.identifier.other | https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=159900 | en |
dc.identifier.uri | https://hdl.handle.net/20.500.11984/1835 | |
dc.description.abstract | Flatness sensors are required for quality control of metal sheets obtained from steel coils by roller leveling and cutting systems. This article presents an innovative system for real-time robust surface estimation of flattened metal sheets composed of two line lasers and a conventional 2D camera. Laser plane triangulation is used for surface height retrieval along virtual surface fibers. The dual laser allows instantaneous robust and quick estimation of the fiber height derivatives. Hermite cubic interpolation along the fibers allows real-time surface estimation and high frequency noise removal. Noise sources are the vibrations induced in the sheet by its movements during the process and some mechanical events, such as cutting into separate pieces. The system is validated
on synthetic surfaces that simulate the most critical noise sources and on real data obtained from the installation of the sensor in an actual steel mill. In the comparison with conventional filtering methods, we achieve at least a 41% of improvement in the accuracy of the surface reconstruction. | en |
dc.description.sponsorship | Gobierno de España | es |
dc.description.sponsorship | Unión Europea | es |
dc.description.sponsorship | Gobierno Vasco | es |
dc.language.iso | eng | en |
dc.publisher | MDPI AG | en |
dc.rights | © 2020 by the authors. Licensee MDPI, Basel, Switzerland | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | cubic Hermite interpolation | en |
dc.subject | laser triangulation | en |
dc.subject | metal sheet | en |
dc.subject | flatness measurement | en |
dc.subject | roller leveling | en |
dc.subject | smooth surface reconstruction | en |
dc.subject | shape measurement system | en |
dc.title | Optical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite Interpolation | en |
dcterms.accessRights | http://purl.org/coar/access_right/c_abf2 | en |
dcterms.source | Sensors | en |
local.contributor.group | Robótica y automatización | es |
local.description.peerreviewed | true | en |
local.identifier.doi | https://doi.org/10.3390/s20185441 | en |
local.relation.projectID | GE/Programa estatal de fomento de la investigación científica y técnica de excelencia, subprograma estatal de generación del conocimiento, en el marco del plan estatal de investigación científica y técnica y de innovación 2013-2016, convocatoria 2017/TIN2017-85827-P/ES/Técnicas avanzadas de análisis e interpretación de datos de etología computerizada: aplicaciones en neuroetologia/ | en |
local.relation.projectID | info:eu-repo/grantAgreement/EC/RFCS/RFCS-2018-800730/DP1000 steel press bending holistic process chain improvement by novel control techniques and through thickness residual stress tailoring/FLATBEND | en |
local.relation.projectID | GV/Ikertalde Convocatoria 2019-2021/IT1284-19/CAPV// | en |
local.rights.publicationfee | APC | en |
local.rights.publicationfeeamount | 1880 EUR (2000 CFH) | en |
local.contributor.otherinstitution | UPV/EHU | es |
local.source.details | Vol. 20. N. 18. N. Art. 5441, 2020 | en |
oaire.format.mimetype | application/pdf | |
oaire.file | $DSPACE\assetstore | |
oaire.resourceType | http://purl.org/coar/resource_type/c_6501 | en |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | en |