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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...

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Autores principales: Wang, Shudong, Wei, Xueyong, Lu, Haojian, Ren, Ziming, Jiang, Zhuangde, Ren, Juan, Yang, Zhan, Sun, Lining, Shang, Wanfeng, Wu, Xinyu, Shen, Yajing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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