Evidence map›Paper›PMID 30400532›Full record

ArticleMicromachines2017

Micromachined Resonant Frequency Tuning Unit for Torsional Resonator.

Jae-Ik Lee, Bongwon Jeong, Sunwoo Park, Youngkee Eun, Jongbaeg Kim

Abstract read
In one paragraph

Article in Micromachines, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Jae-Ik LeeSchool of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seoul 03722, Korea. sbrm@yonsei.ac.kr.ORCID 0000-0002-9006-3405
Bongwon JeongSchool of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seoul 03722, Korea. jeongbw@gmail.com.
Sunwoo ParkSchool of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seoul 03722, Korea. acidor@gmail.com.
Youngkee EunSchool of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seoul 03722, Korea. yeun@yonsei.ac.kr.
Jongbaeg KimSchool of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seoul 03722, Korea. kimjb@yonsei.ac.kr.

Funding

The Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning NRF-2015R1A2A1A01005496The Korea Institute of Energy Technology Evaluation and Planning(KETEP) and the Ministry of Trade, Industry & Energy(MOTIE) of the Republic of Korea 20163030024420
6 · The paper itself

Abstract

Achieving the desired resonant frequency of resonators has been an important issue, since it determines their performance. This paper presents the design and analysis of two concepts for the resonant frequency tuning of resonators. The proposed methods are based on the stiffness alteration of the springs by geometrical modification (shaft-widening) or by mechanical restriction (shaft-holding) using micromachined frequency tuning units. Our designs have advantages in (1) reversible and repetitive tuning; (2) decoupled control over the amplitude of the resonator and the tuning ratio; and (3) a wide range of applications including torsional resonators. The ability to tune the frequency by both methods is predicted by finite element analysis (FEA) and experimentally verified on a torsional resonator driven by an electrostatic actuator. The tuning units and resonators are fabricated on a double silicon-on-insulator (DSOI) wafer to electrically insulate the resonator from the tuning units. The shaft-widening type and shaft-holding type exhibit a maximum tuning ratio of 5.29% and 10.7%, respectively.

Indexed as

resonant frequency tuningshaft-holdingshaft-wideningtorsional resonator

Identifiers

PMID30400532
PMCPMC6187933

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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.