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Structural effects of 3D printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring
Measurements of physiological parameters such as pulse rate, voice, and motion for precise health care monitoring requires highly sensitive sensors. Flexible strain gauges are useful sensors that can be used in human health care devices. In this study, we propose a crack-based strain gauge fabricate...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791987/ https://www.ncbi.nlm.nih.gov/pubmed/35136651 http://dx.doi.org/10.1038/s41378-021-00347-x |
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author | Shin, Sanghun Ko, Byeongjo So, Hongyun |
author_facet | Shin, Sanghun Ko, Byeongjo So, Hongyun |
author_sort | Shin, Sanghun |
collection | PubMed |
description | Measurements of physiological parameters such as pulse rate, voice, and motion for precise health care monitoring requires highly sensitive sensors. Flexible strain gauges are useful sensors that can be used in human health care devices. In this study, we propose a crack-based strain gauge fabricated by fused deposition modeling (FDM)-based three-dimensional (3D)-printing. The strain gauge combined a 3D-printed thermoplastic polyurethane layer and a platinum layer as the flexible substrate and conductive layer, respectively. Through a layer-by-layer deposition process, self-aligned crack arrays were easily formed along the groove patterns resulting from stress concentration during stretching motions. Strain gauges with a 200-µm printing thickness exhibited the most sensitive performance (~442% increase in gauge factor compared with that of a flat sensor) and the fastest recovery time (~99% decrease in recovery time compared with that of a flat sensor). In addition, 500 cycling tests were conducted to demonstrate the reliability of the sensor. Finally, various applications of the strain gauge as wearable devices used to monitor human health and motion were demonstrated. These results support the facile fabrication of sensitive strain gauges for the development of smart devices by additive manufacturing. |
format | Online Article Text |
id | pubmed-8791987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87919872022-02-07 Structural effects of 3D printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring Shin, Sanghun Ko, Byeongjo So, Hongyun Microsyst Nanoeng Article Measurements of physiological parameters such as pulse rate, voice, and motion for precise health care monitoring requires highly sensitive sensors. Flexible strain gauges are useful sensors that can be used in human health care devices. In this study, we propose a crack-based strain gauge fabricated by fused deposition modeling (FDM)-based three-dimensional (3D)-printing. The strain gauge combined a 3D-printed thermoplastic polyurethane layer and a platinum layer as the flexible substrate and conductive layer, respectively. Through a layer-by-layer deposition process, self-aligned crack arrays were easily formed along the groove patterns resulting from stress concentration during stretching motions. Strain gauges with a 200-µm printing thickness exhibited the most sensitive performance (~442% increase in gauge factor compared with that of a flat sensor) and the fastest recovery time (~99% decrease in recovery time compared with that of a flat sensor). In addition, 500 cycling tests were conducted to demonstrate the reliability of the sensor. Finally, various applications of the strain gauge as wearable devices used to monitor human health and motion were demonstrated. These results support the facile fabrication of sensitive strain gauges for the development of smart devices by additive manufacturing. Nature Publishing Group UK 2022-01-27 /pmc/articles/PMC8791987/ /pubmed/35136651 http://dx.doi.org/10.1038/s41378-021-00347-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shin, Sanghun Ko, Byeongjo So, Hongyun Structural effects of 3D printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring |
title | Structural effects of 3D printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring |
title_full | Structural effects of 3D printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring |
title_fullStr | Structural effects of 3D printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring |
title_full_unstemmed | Structural effects of 3D printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring |
title_short | Structural effects of 3D printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring |
title_sort | structural effects of 3d printing resolution on the gauge factor of microcrack-based strain gauges for health care monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791987/ https://www.ncbi.nlm.nih.gov/pubmed/35136651 http://dx.doi.org/10.1038/s41378-021-00347-x |
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