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Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes
The versatility of piezoelectric sensors in measurement techniques and their performance in applications has given rise to an increased interest in their use for structural and manufacturing component monitoring. They enable wireless and sensor network solutions to be developed in order to directly...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085522/ https://www.ncbi.nlm.nih.gov/pubmed/32156027 http://dx.doi.org/10.3390/s20051471 |
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author | Perez-Alfaro, Irene Gil-Hernandez, Daniel Muñoz-Navascues, Oscar Casbas-Gimenez, Jesus Sanchez-Catalan, Juan Carlos Murillo, Nieves |
author_facet | Perez-Alfaro, Irene Gil-Hernandez, Daniel Muñoz-Navascues, Oscar Casbas-Gimenez, Jesus Sanchez-Catalan, Juan Carlos Murillo, Nieves |
author_sort | Perez-Alfaro, Irene |
collection | PubMed |
description | The versatility of piezoelectric sensors in measurement techniques and their performance in applications has given rise to an increased interest in their use for structural and manufacturing component monitoring. They enable wireless and sensor network solutions to be developed in order to directly integrate the sensors into machines, fixtures and tools. Piezoelectric sensors increasingly compete with strain-gauges due to their wide operational temperature range, load and strain sensing accuracy, low power consumption and low cost. This research sets out the use of piezoelectric sensors for real-time monitoring of mechanical strength in metallic structures in the ongoing operational control of machinery components. The behaviour of aluminium and steel structures under flexural strength was studied using piezoelectric sensors. Variations in structural behaviour and geometry were measured, and the load and μstrains during operational conditions were quantified in the time domain at a specific frequency. The lead zirconium titanate (PZT) sensors were able to distinguish between material types and thicknesses. Moreover, this work covers frequency selection and optimisation from 20 Hz to 300 kHz. Significant differences in terms of optimal operating frequencies and sensitivity were found in both structures. The influence of the PZT voltage applied was assessed to reduce power consumption without signal loss, and calibration to μstrains and loads was performed. |
format | Online Article Text |
id | pubmed-7085522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70855222020-03-23 Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes Perez-Alfaro, Irene Gil-Hernandez, Daniel Muñoz-Navascues, Oscar Casbas-Gimenez, Jesus Sanchez-Catalan, Juan Carlos Murillo, Nieves Sensors (Basel) Article The versatility of piezoelectric sensors in measurement techniques and their performance in applications has given rise to an increased interest in their use for structural and manufacturing component monitoring. They enable wireless and sensor network solutions to be developed in order to directly integrate the sensors into machines, fixtures and tools. Piezoelectric sensors increasingly compete with strain-gauges due to their wide operational temperature range, load and strain sensing accuracy, low power consumption and low cost. This research sets out the use of piezoelectric sensors for real-time monitoring of mechanical strength in metallic structures in the ongoing operational control of machinery components. The behaviour of aluminium and steel structures under flexural strength was studied using piezoelectric sensors. Variations in structural behaviour and geometry were measured, and the load and μstrains during operational conditions were quantified in the time domain at a specific frequency. The lead zirconium titanate (PZT) sensors were able to distinguish between material types and thicknesses. Moreover, this work covers frequency selection and optimisation from 20 Hz to 300 kHz. Significant differences in terms of optimal operating frequencies and sensitivity were found in both structures. The influence of the PZT voltage applied was assessed to reduce power consumption without signal loss, and calibration to μstrains and loads was performed. MDPI 2020-03-07 /pmc/articles/PMC7085522/ /pubmed/32156027 http://dx.doi.org/10.3390/s20051471 Text en © 2020 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 Perez-Alfaro, Irene Gil-Hernandez, Daniel Muñoz-Navascues, Oscar Casbas-Gimenez, Jesus Sanchez-Catalan, Juan Carlos Murillo, Nieves Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes |
title | Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes |
title_full | Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes |
title_fullStr | Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes |
title_full_unstemmed | Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes |
title_short | Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes |
title_sort | low-cost piezoelectric sensors for time domain load monitoring of metallic structures during operational and maintenance processes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085522/ https://www.ncbi.nlm.nih.gov/pubmed/32156027 http://dx.doi.org/10.3390/s20051471 |
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