Show simple item record

dc.contributor.authorMabe Alvarez, Jon
dc.contributor.authorZubia Zaballa, Joseba Andoni
dc.contributor.authorGorritxategi, Eneko
dc.date.accessioned2018-06-13T10:10:57Z
dc.date.available2018-06-13T10:10:57Z
dc.date.issued2017-03
dc.identifier.citationSensors 17(3) : (2017) // Article ID 586es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/27504
dc.description.abstractThe presence of microscopic particles in suspension in industrial fluids is often an early warning of latent or imminent failures in the equipment or processes where they are being used. This manuscript describes work undertaken to integrate different photonic principles with a micro- mechanical fluidic structure and an embedded processor to develop a fully autonomous wear debris sensor for in-line monitoring of industrial fluids. Lens-less microscopy, stroboscopic illumination, a CMOS imager and embedded machine vision technologies have been merged to develop a sensor solution that is able to detect and quantify the number and size of micrometric particles suspended in a continuous flow of a fluid. A laboratory test-bench has been arranged for setting up the configuration of the optical components targeting a static oil sample and then a sensor prototype has been developed for migrating the measurement principles to real conditions in terms of operating pressure and flow rate of the oil. Imaging performance is quantified using micro calibrated samples, as well as by measuring real used lubricated oils. Sampling a large fluid volume with a decent 2D spatial resolution, this photonic micro sensor offers a powerful tool at very low cost and compacted size for in-line wear debris monitoring.es_ES
dc.description.sponsorshipThis work has been funded in part by the Fondo Europeo de Desarrollo Regional (FEDER); by the Ministerio de Economia y Competitividad under project TEC2015-638263-C03-1-R; by the Gobierno Vasco/Eusko Jaurlaritza under projects IT933-16 and ELKARTEK (KK-2016/0030 and KK-2016/0059)es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/TEC2015-638263-C03-1-Res_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectoptoelectronic and photonic sensorses_ES
dc.subjectobject recognitiones_ES
dc.subjectoptical sensorses_ES
dc.subjectoptical microscopyes_ES
dc.subjectoptical diffractiones_ES
dc.subjectlubricating oilses_ES
dc.subjecthydraulic fluidses_ES
dc.subjectmaintenancees_ES
dc.subjectbiological applicationses_ES
dc.subjectchipes_ES
dc.subjectdebrises_ES
dc.titlePhotonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oilses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttp://www.mdpi.com/1424-8220/17/3/586es_ES
dc.identifier.doi10.3390/s17030586
dc.departamentoesIngeniería de comunicacioneses_ES
dc.departamentoeuKomunikazioen ingeniaritzaes_ES


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).