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Robot-aided fN∙m torque sensing within an ultrawide dynamic range
In situ scanning electron microscope (SEM) characterization have enabled the stretching, compression, and bending of micro/nanomaterials and have greatly expanded our understanding of small-scale phenomena. However, as one of the fundamental approaches for material analytics, torsion tests at a smal...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433428/ https://www.ncbi.nlm.nih.gov/pubmed/34567722 http://dx.doi.org/10.1038/s41378-020-00231-0 |
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author | Wang, Shudong Wei, Xueyong Lu, Haojian Ren, Ziming Jiang, Zhuangde Ren, Juan Yang, Zhan Sun, Lining Shang, Wanfeng Wu, Xinyu Shen, Yajing |
author_facet | Wang, Shudong Wei, Xueyong Lu, Haojian Ren, Ziming Jiang, Zhuangde Ren, Juan Yang, Zhan Sun, Lining Shang, Wanfeng Wu, Xinyu Shen, Yajing |
author_sort | Wang, Shudong |
collection | PubMed |
description | In situ scanning electron microscope (SEM) characterization have enabled the stretching, compression, and bending of micro/nanomaterials and have greatly expanded our understanding of small-scale phenomena. However, as one of the fundamental approaches for material analytics, torsion tests at a small scale remain a major challenge due to the lack of an ultrahigh precise torque sensor and the delicate sample assembly strategy. Herein, we present a microelectromechanical resonant torque sensor with an ultrahigh resolution of up to 4.78 fN∙m within an ultrawide dynamic range of 123 dB. Moreover, we propose a nanorobotic system to realize the precise assembly of microscale specimens with nanoscale positioning accuracy and to conduct repeatable in situ pure torsion tests for the first time. As a demonstration, we characterized the mechanical properties of Si microbeams through torsion tests and found that these microbeams were five-fold stronger than their bulk counterparts. The proposed torsion characterization system pushes the limit of mechanical torsion tests, overcomes the deficiencies in current in situ characterization techniques, and expands our knowledge regarding the behavior of micro/nanomaterials at various loads, which is expected to have significant implications for the eventual development and implementation of materials science. |
format | Online Article Text |
id | pubmed-8433428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84334282021-09-24 Robot-aided fN∙m torque sensing within an ultrawide dynamic range Wang, Shudong Wei, Xueyong Lu, Haojian Ren, Ziming Jiang, Zhuangde Ren, Juan Yang, Zhan Sun, Lining Shang, Wanfeng Wu, Xinyu Shen, Yajing Microsyst Nanoeng Article In situ scanning electron microscope (SEM) characterization have enabled the stretching, compression, and bending of micro/nanomaterials and have greatly expanded our understanding of small-scale phenomena. However, as one of the fundamental approaches for material analytics, torsion tests at a small scale remain a major challenge due to the lack of an ultrahigh precise torque sensor and the delicate sample assembly strategy. Herein, we present a microelectromechanical resonant torque sensor with an ultrahigh resolution of up to 4.78 fN∙m within an ultrawide dynamic range of 123 dB. Moreover, we propose a nanorobotic system to realize the precise assembly of microscale specimens with nanoscale positioning accuracy and to conduct repeatable in situ pure torsion tests for the first time. As a demonstration, we characterized the mechanical properties of Si microbeams through torsion tests and found that these microbeams were five-fold stronger than their bulk counterparts. The proposed torsion characterization system pushes the limit of mechanical torsion tests, overcomes the deficiencies in current in situ characterization techniques, and expands our knowledge regarding the behavior of micro/nanomaterials at various loads, which is expected to have significant implications for the eventual development and implementation of materials science. Nature Publishing Group UK 2021-01-04 /pmc/articles/PMC8433428/ /pubmed/34567722 http://dx.doi.org/10.1038/s41378-020-00231-0 Text en © The Author(s) 2021 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 Wang, Shudong Wei, Xueyong Lu, Haojian Ren, Ziming Jiang, Zhuangde Ren, Juan Yang, Zhan Sun, Lining Shang, Wanfeng Wu, Xinyu Shen, Yajing Robot-aided fN∙m torque sensing within an ultrawide dynamic range |
title | Robot-aided fN∙m torque sensing within an ultrawide dynamic range |
title_full | Robot-aided fN∙m torque sensing within an ultrawide dynamic range |
title_fullStr | Robot-aided fN∙m torque sensing within an ultrawide dynamic range |
title_full_unstemmed | Robot-aided fN∙m torque sensing within an ultrawide dynamic range |
title_short | Robot-aided fN∙m torque sensing within an ultrawide dynamic range |
title_sort | robot-aided fn∙m torque sensing within an ultrawide dynamic range |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433428/ https://www.ncbi.nlm.nih.gov/pubmed/34567722 http://dx.doi.org/10.1038/s41378-020-00231-0 |
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