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Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities
Standards for the fatigue testing of wearable sensing technologies are lacking. The majority of published fatigue tests for wearable sensors are performed on proof-of-concept stretch sensors fabricated from a variety of materials. Due to their flexibility and stretchability, polymers are often used...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347841/ https://www.ncbi.nlm.nih.gov/pubmed/34361264 http://dx.doi.org/10.3390/ma14154070 |
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author | Persons, Andrea Karen Ball, John E. Freeman, Charles Macias, David M. Simpson, Chartrisa LaShan Smith, Brian K. Burch V., Reuben F. |
author_facet | Persons, Andrea Karen Ball, John E. Freeman, Charles Macias, David M. Simpson, Chartrisa LaShan Smith, Brian K. Burch V., Reuben F. |
author_sort | Persons, Andrea Karen |
collection | PubMed |
description | Standards for the fatigue testing of wearable sensing technologies are lacking. The majority of published fatigue tests for wearable sensors are performed on proof-of-concept stretch sensors fabricated from a variety of materials. Due to their flexibility and stretchability, polymers are often used in the fabrication of wearable sensors. Other materials, including textiles, carbon nanotubes, graphene, and conductive metals or inks, may be used in conjunction with polymers to fabricate wearable sensors. Depending on the combination of the materials used, the fatigue behaviors of wearable sensors can vary. Additionally, fatigue testing methodologies for the sensors also vary, with most tests focusing only on the low-cycle fatigue (LCF) regime, and few sensors are cycled until failure or runout are achieved. Fatigue life predictions of wearable sensors are also lacking. These issues make direct comparisons of wearable sensors difficult. To facilitate direct comparisons of wearable sensors and to move proof-of-concept sensors from “bench to bedside”, fatigue testing standards should be established. Further, both high-cycle fatigue (HCF) and failure data are needed to determine the appropriateness in the use, modification, development, and validation of fatigue life prediction models and to further the understanding of how cracks initiate and propagate in wearable sensing technologies. |
format | Online Article Text |
id | pubmed-8347841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83478412021-08-08 Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities Persons, Andrea Karen Ball, John E. Freeman, Charles Macias, David M. Simpson, Chartrisa LaShan Smith, Brian K. Burch V., Reuben F. Materials (Basel) Review Standards for the fatigue testing of wearable sensing technologies are lacking. The majority of published fatigue tests for wearable sensors are performed on proof-of-concept stretch sensors fabricated from a variety of materials. Due to their flexibility and stretchability, polymers are often used in the fabrication of wearable sensors. Other materials, including textiles, carbon nanotubes, graphene, and conductive metals or inks, may be used in conjunction with polymers to fabricate wearable sensors. Depending on the combination of the materials used, the fatigue behaviors of wearable sensors can vary. Additionally, fatigue testing methodologies for the sensors also vary, with most tests focusing only on the low-cycle fatigue (LCF) regime, and few sensors are cycled until failure or runout are achieved. Fatigue life predictions of wearable sensors are also lacking. These issues make direct comparisons of wearable sensors difficult. To facilitate direct comparisons of wearable sensors and to move proof-of-concept sensors from “bench to bedside”, fatigue testing standards should be established. Further, both high-cycle fatigue (HCF) and failure data are needed to determine the appropriateness in the use, modification, development, and validation of fatigue life prediction models and to further the understanding of how cracks initiate and propagate in wearable sensing technologies. MDPI 2021-07-21 /pmc/articles/PMC8347841/ /pubmed/34361264 http://dx.doi.org/10.3390/ma14154070 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Persons, Andrea Karen Ball, John E. Freeman, Charles Macias, David M. Simpson, Chartrisa LaShan Smith, Brian K. Burch V., Reuben F. Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities |
title | Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities |
title_full | Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities |
title_fullStr | Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities |
title_full_unstemmed | Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities |
title_short | Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities |
title_sort | fatigue testing of wearable sensing technologies: issues and opportunities |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347841/ https://www.ncbi.nlm.nih.gov/pubmed/34361264 http://dx.doi.org/10.3390/ma14154070 |
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