Evidence map›Paper›PMID 37630038›Full record

ArticleMicromachines2023

Analysis and Optimization of Dynamic and Static Characteristics of the Compliant-Amplifying Mechanisms.

Jin Wang, Zijian Jing, Zongliang Xie, Zongqi Ning, Bo Qi

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jin WangKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, China.ORCID 0009-0000-5283-5147
Zijian JingKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, China.
Zongliang XieKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, China.
Zongqi NingKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, China.
Bo QiKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, China.ORCID 0000-0003-2142-8113

Funding

National Natural Science Foundation of China 12003039National Natural Science Foundation of China 2022-JCJQ-JJ-031
6 · The paper itself

Abstract

Compliant amplifying mechanisms are used widely in high-precision instruments driven by piezoelectric actuators, and the dynamic and static characteristics of these mechanisms are closely related to instrument performance. Although the majority of existing research has focused on analysis of their static characteristics, the dynamic characteristics of the mechanisms affect their response speeds directly. Therefore, this paper proposes a comprehensive theoretical model of compliant-amplifying mechanisms based on the multi-body system transfer matrix method to analyze the dynamic and static characteristics of these mechanisms. The effects of the main amplifying mechanism parameters on the displacement amplification ratio and the resonance frequency are analyzed comprehensively using the control variable method. An iterative optimization algorithm is also used to obtain specific parameters that meet the design requirements. Finally, simulation analyses and experimental verification tests are performed. The results indicate the feasibility of using the proposed theoretical compliant-amplifying mechanism model to describe the mechanism's dynamic and static characteristics, which represents a significant contribution to the design and optimization of compliant-amplifying mechanisms.

Indexed as

compliant-amplifying mechanismsdisplacement amplification ratioiterative optimization algorithmmulti-body system transfer matrix methodresonance frequency

Identifiers

PMID37630038
PMCPMC10456608

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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.