Evidence map›Paper›PMID 38930689›Full record

ArticleMicromachines2024

A Single-Clamp Inchworm Actuator with Two Piezoelectric Stacks.

Lu Liu, Zheyang Ji, Yue Zhang, Huan Chen, Weimin Lou, Ming Kong

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

6 authors.

Lu LiuCollege of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-5899-4816
Zheyang JiCollege of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China.ORCID 0009-0003-9892-3822
Yue ZhangCollege of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China.
Huan ChenZhejiang Institute of Metrology, Hangzhou 310018, China.
Weimin LouZhejiang Institute of Metrology, Hangzhou 310018, China.
Ming KongCollege of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China.

Funding

National Natural Science Foundation of China 12202428State Administration for Market Regulation 2023MK225
6 · The paper itself

Abstract

Inchworm piezoelectric actuators have attracted much attention in the field of precision positioning due to the advantages of a large stroke, high output force, and high resolution. However, traditional inchworm piezoelectric actuators use two sets of clamps and a set of drive structures to achieve stepping motion, which generally requires at least three piezoelectric stacks, resulting in a complex structure and the control system. Several methodologies have been advanced to minimize the utilization of piezoelectric stacks. However, there still exists the issue of excessive volume. Therefore, an inchworm piezoelectric actuator with a single-clamp and single drive structure is proposed in the study, which provides a compact size and smaller volume. The clamping mechanism comprises two sets of clamping feet with opposite displacement, which alternate contact with the guide frame and adjustable plate to ensure that the clamping mechanism always has frictional force and accomplishes the stepping motion. The testing of the actuator's step distance, output force, and other parameters was conducted utilizing a displacement sensor. Experimental results indicate that the actuator achieved a maximum speed of 174.3 μm/s and an output force of 8.6 N when the frequency and voltage were 19 Hz and 150 V.

Indexed as

inchwormpiezoelectric actuatorpiezoelectric stacksingle clamp

Identifiers

PMID38930689
PMCPMC11205753

What OpenQuestion holds

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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.