Robot-aided fN∙m torque sensing within an ultrawide dynamic range
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Article number | 2 |
Journal / Publication | Microsystems & Nanoengineering |
Volume | 7 |
Issue number | 1 |
Online published | 4 Jan 2021 |
Publication status | Published - 2021 |
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DOI | DOI |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85098592868&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(92baf0c0-1393-4ab7-b3a1-5340dd2d6925).html |
Abstract
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.
Research Area(s)
Citation Format(s)
Robot-aided fN∙m torque sensing within an ultrawide dynamic range. / Wang, Shudong; Wei, Xueyong; Lu, Haojian et al.
In: Microsystems & Nanoengineering, Vol. 7, No. 1, 2, 2021.
In: Microsystems & Nanoengineering, Vol. 7, No. 1, 2, 2021.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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