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Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils
The 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 flu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375872/ https://www.ncbi.nlm.nih.gov/pubmed/28335436 http://dx.doi.org/10.3390/s17030586 |
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author | Mabe, Jon Zubia, Joseba Gorritxategi, Eneko |
author_facet | Mabe, Jon Zubia, Joseba Gorritxategi, Eneko |
author_sort | Mabe, Jon |
collection | PubMed |
description | The 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. |
format | Online Article Text |
id | pubmed-5375872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53758722017-04-10 Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils Mabe, Jon Zubia, Joseba Gorritxategi, Eneko Sensors (Basel) Article The 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. MDPI 2017-03-14 /pmc/articles/PMC5375872/ /pubmed/28335436 http://dx.doi.org/10.3390/s17030586 Text en © 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/). |
spellingShingle | Article Mabe, Jon Zubia, Joseba Gorritxategi, Eneko Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils |
title | Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils |
title_full | Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils |
title_fullStr | Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils |
title_full_unstemmed | Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils |
title_short | Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils |
title_sort | photonic low cost micro-sensor for in-line wear particle detection in flowing lube oils |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375872/ https://www.ncbi.nlm.nih.gov/pubmed/28335436 http://dx.doi.org/10.3390/s17030586 |
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