Evidence map›Paper›PMID 36422437›Full record

ArticleMicromachines2022

A Novel Monopolar Cross-Scale Nanopositioning Stage Based on Dual Piezoelectric Stick-Slip Driving Principle.

Junhui Zhu, Siyuan Meng, Yong Wang, Ming Pang, Zhiping Hu, Changhai Ru

Abstract read
In one paragraph

Article in Micromachines, 2022. 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
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0citing papers in PubMed
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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

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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

6 authors.

Junhui ZhuSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-3730-5153
Siyuan MengState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150000, China.
Yong WangSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215000, China.
Ming PangCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.
Zhiping HuMicro-Nano Automation Institute, JITRI, Suzhou 215100, China.
Changhai RuSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215000, China.

Funding

National Natural Science Foundation of China No. 62273247the Natural Science Foundation of the Jiangsu Higher Education Institutions of China No.20KJA460008
6 · The paper itself

Abstract

The precise characterization and measurement of new nanomaterials and nano devices require in situ SEM nanorobotic instrumentation systems, which put forward further technical requirements on nanopositioning techniques of compact structure, cross-scale, nanometer accuracy, high vacuum and non-magnetic environment compatibility, etc. In this work, a novel cross-scale nanopositioning stage was proposed, which combined the advantages of piezoelectric stick-slip positioner and piezoelectric scanner techniques and adopted the idea of macro/micro positioning. A new structure design of a single flexible hinge shared by a small and large PZT was proposed to effectively reduce the size of the positioning stage and achieve millimeter stroke and nanometer motion positioning accuracy. Then, the cross-scale motion generation mechanism of the dual piezoelectric stick-slip drive was studied, the system-level dynamics model of the proposed positioning stages was constructed, and the mechanism design was optimized. Further, a prototype was manufactured and a series of experiments were carried out to test the performance of the stage. The results show that the proposed positioning stage has a maximum motion range of 20 mm and minimum step length of 70 nm under the small piezoceramic ceramic macro-motion stepping mode, and a maximum scanning range of 4.9 μm and motion resolution of 16 nm under the large piezoceramic ceramic micro-motion scanning mode. Moreover, the proposed stage has a compact structure size of 30 × 17 × 8 mm

Indexed as

compact structuredual piezoelectric driveflexible hingenanopositioningstick-slip

Identifiers

PMID36422437
PMCPMC9692947

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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.