Evidence map›Paper›PMID 37110006›Full record

ArticleMaterials (Basel, Switzerland)2023

Multi-Objective Optimization Design and Performance Comparison of Magnetorheological Torsional Vibration Absorbers of Different Configurations.

Guisheng Liu, Hongsheng Hu, Qing Ouyang, Feng Zhang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Guisheng LiuSchool of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0002-5394-5791
Hongsheng HuCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Qing OuyangCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Feng ZhangTaizhou Jiuju Technology Co., Ltd., Taizhou 318000, China.

Funding

Jiaxing Municipal Science and Technology Project 2020AY10036National Natural Science Foundation of China 51805209Zhejiang Provincial Natural Science Foundation of China LGG19E050017Zhejiang Provincial Natural Science Foundation of China LGG20E050022
6 · The paper itself

Abstract

The purpose of this study is to provide a convenient optimization design method for magnetorheological torsional vibration absorbers (MR-TVA) suitable for automotive engines, which is a damper matching design method that takes into account the needs of the engine operating conditions. In this study, three kinds of MR-TVA with certain characteristics and applicability are proposed: axial single-coil configuration, axial multi-coil configuration and circumferential configuration. The magnetic circuit model, damping torque model and response time model of MR-TVA are established. Then, under the constraints of weight, size and inertia ratio, according to different torsional vibration conditions, the MR-TVA mass, damping torque and response time are multi-objective optimized in two directions. The optimal configurations of the three configurations are obtained from the intersection of the two optimal solutions, and the performance of the optimized MR-TVA is compared and analyzed. The results show that the axial multi-coil structure has large damping torque and the shortest response time (140 ms), which is suitable for complex working conditions. The damping torque of the axial single coil structure is generally large (207.05 N.m), which is suitable for heavy load conditions. The circumferential structure has a minimum mass (11.03 kg) and is suitable for light load conditions.

Indexed as

different configurationsmagnetorheological (MR) fluidmulti-objective optimizationtorsional vibration absorbers

Identifiers

PMID37110006
PMCPMC10144781

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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.