Evidence map›Paper›PMID 35208297›Full record

ArticleMicromachines2022

Design and Optimization of a Novel MEMS Tuning Fork Gyroscope Microstructure.

Chuanguo Xiong, Pengjun Zeng, Weishan Lv, Fengming Lu, Ming Zhang, Yuhua Huang, Fulong Zhu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 38% of its field
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, 7 citations in OpenAlex.

  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 at 1 institution in 1 country.

Chuanguo XiongSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Pengjun ZengSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Weishan LvSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Fengming LuQuality Engineering Center, China Aero Polytechnology Establishment, Beijing 100028, China.
Ming ZhangQuality Engineering Center, China Aero Polytechnology Establishment, Beijing 100028, China.
Yuhua HuangSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Fulong ZhuSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Huazhong University of Science and Technology · CN

Funding

National Natural Science Foundation of China 52075208National Natural Science Foundation of China U20A6004the Aeronautical Science Foundation of China 20160279003
6 · The paper itself

Abstract

This paper presents the design and optimization of a novel MEMS tuning fork gyroscope microstructure. In order to improve the mechanical sensitivity of the gyroscope, much research has been carried out in areas such as mode matching, improving the quality factor, etc. This paper focuses on the analysis of mode shape, and effectively optimizes the decoupling structure and size of the gyroscope. In terms of structural design, the vibration performance of the proposed structure was compared with other typical structures. It was found that slotting in the middle of the base improved the transmission efficiency of Coriolis vibration, and opening arc slots between the tines reduced the working modal order and frequency. In terms of size optimization, the Taguchi method was used to optimize the relevant feature sizes of the gyroscope. Compared with the initial structure, the transmission efficiency of Coriolis vibration of the optimized gyroscope was improved by about 18%, and the working modal frequency was reduced by about 2.7 kHz. Improvement of these two indicators will further improve the mechanical sensitivity of the gyroscope.

Indexed as

mechanical sensitivitymode shapeTaguchi methodtransmission efficiencytuning fork gyroscope

Identifiers

PMID35208297
PMCPMC8878307
OpenAlexW4210564380

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.