Evidence map›Paper›PMID 36434401›Full record

ArticleVisual computing for industry, biomedicine, and art2022

Optimization design of two-stage amplification micro-drive system without additional motion based on particle swarm optimization algorithm.

Manzhi Yang, Kaiyang Wei, Chuanwei Zhang, Dandan Liu, Yizhi Yang, Feiyan Han, Shuanfeng Zhao

Abstract read
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In one paragraph

Article in Visual computing for industry, biomedicine, and art, 2022. 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

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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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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

7 authors.

Manzhi YangSchool of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China.
Kaiyang WeiSchool of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China.
Chuanwei ZhangSchool of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China.
Dandan LiuDepartment of Mechanical and Aerospace Engineering, Brunel University London, Uxbridge, 361199, UK. 1738009@brunel.ac.uk.ORCID http://orcid.org/0000-0002-1434-4416
Yizhi YangSchool of Humanities and Foreign Languages, Xi'an University of Science and Technology, Xi'an, 710054, China.
Feiyan HanSchool of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China.
Shuanfeng ZhaoSchool of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China.

Funding

Innovation Capability Support Plan of Shaanxi Province 2021 TD-27National Natural Science Foundation of China No. 51805428
6 · The paper itself

Abstract

With the increasing requirements of precision mechanical systems in electronic packaging, ultra-precision machining, biomedicine and other high-tech fields, it is necessary to study a precision two-stage amplification micro-drive system that can safely provide high precision and a large amplification ratio. In view of the disadvantages of the current two-stage amplification and micro-drive system, such as poor security, low motion accuracy and limited amplification ratio, an optimization design of a precise symmetrical two-stage amplification micro-drive system was completed in this study, and its related performance was studied. Based on the guiding principle of the flexure hinge, a two-stage amplification micro-drive mechanism with no parasitic motion or non-motion direction force was designed. In addition, the structure optimization design of the mechanism was completed using the particle swarm optimization algorithm, which increased the amplification ratio of the mechanism from 5 to 18 times. A precise symmetrical two-stage amplification system was designed using a piezoelectric ceramic actuator and two-stage amplification micro-drive mechanism as the micro-driver and actuator, respectively. The driving, strength, and motion performances of the system were subsequently studied. The results showed that the driving linearity of the system was high, the strength satisfied the design requirements, the motion amplification ratio was high and the motion accuracy was high (relative error was 5.31%). The research in this study can promote the optimization of micro-drive systems.

Indexed as

Micro-drive mechanismOptimization designParticle swarm optimizationPerformance of guidanceTwo-stage amplification

Identifiers

PMID36434401
PMCPMC9700539

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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.