Evidence map›Paper›PMID 34567722›Full record

ArticleMicrosystems & nanoengineering2021

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

Shudong Wang, Xueyong Wei, Haojian Lu, Ziming Ren, Zhuangde Jiang, Juan Ren, Zhan Yang, Lining Sun, Wanfeng Shang, Xinyu Wu and 1 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Shudong WangState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049 China.ORCID 0000-0001-7683-0770
Xueyong WeiState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049 China.ORCID 0000-0002-6443-4727
Haojian LuMechanical and Biomedical Engineering Department, City University of Hong Kong, Hong Kong, SAR 999077 China.ORCID 0000-0002-1393-3040
Ziming RenState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049 China.
Zhuangde JiangState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049 China.
Juan RenState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049 China.
Zhan YangRobotics and Microsystems Center, Soochow University, Suzhou, 215021 China.
Lining SunRobotics and Microsystems Center, Soochow University, Suzhou, 215021 China.
Wanfeng ShangShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China.ORCID 0000-0002-3256-3268
Xinyu WuShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China.
Yajing ShenMechanical and Biomedical Engineering Department, City University of Hong Kong, Hong Kong, SAR 999077 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Electrical and electronic engineeringStructural properties

Identifiers

PMID34567722
PMCPMC8433428

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.