Evidence map›Paper›PMID 38398965›Full record

ArticleMicromachines2024

Experimental Study on the Skyhook Control of a Magnetorheological Torsional Vibration Damper.

Zhicheng Wang, Hongsheng Hu, Jiabin Yang, Jiajia Zheng, Wei Zhao, Qing Ouyang

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
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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.

Zhicheng WangCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Hongsheng HuCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Jiabin YangCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Jiajia ZhengCollege of Engineering, Zhejiang Normal University, Jinhua 321004, China.
Wei ZhaoCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Qing OuyangCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.

Funding

Jiaxing Municipal Science and Technology Project 2020AY10036Natural Science Foundation of China (NSFC) grant funded by the Chinese Government 52275137 and 51805209Qin Shen Scholar Program of Jiaxing University CD70623001Zhejiang Provincial Natural Science Foundation of China LQ22E050018 and LGG20E050022Zhejiang Provincial Natural Science Foundation of China LTGY24E050001
6 · The paper itself

Abstract

This study proposes a dual-coil magnetorheological torsional vibration damper (MRTVD) and verifies the effectiveness of semi-active damping control to suppress the shaft system's torsional vibration via experimental research. Firstly, the mechanical model of the designed MRTVD and its coupling mechanical model with the rotating shaft system are established. Secondly, the torsional response of the shaft system is obtained via resonance experiments, and the influence of the current on the torsional characteristics of the magnetorheological torsional damper is analyzed. Finally, the MRTVD is controlled using the skyhook control approach. The experimental results demonstrate that when the main shaft passes through the critical speed range at various accelerations, the amplitude of the shaft's torsional vibration decreases by more than 15%, and the amplitude of the shaft's torsional angular acceleration decreases by more than 22%. These conclusions validate the inhibitory effect of MRTVD on the main shaft's torsional vibrations under skyhook control.

Indexed as

magnetorheological damperssemi-active controlskyhook controltorsional vibration

Identifiers

PMID38398965
PMCPMC10891620

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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.