Robot-aided fN∙m torque sensing within an ultrawide dynamic range

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Scopus Citations
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Author(s)

  • Xueyong Wei
  • Ziming Ren
  • Zhuangde Jiang
  • Juan Ren
  • Zhan Yang
  • Lining Sun
  • Wanfeng Shang
  • Xinyu Wu

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Detail(s)

Original languageEnglish
Article number2
Journal / PublicationMicrosystems & Nanoengineering
Volume7
Issue number1
Online published4 Jan 2021
Publication statusPublished - 2021

Link(s)

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.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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