Evidence map›Paper›PMID 38667672›Full record

ArticleGels (Basel, Switzerland)2024

The Optimization Study of Rheological Characteristics of Wind Power Grease Based on Gel-State.

Han Peng, Defang Zhao, Linjian Shangguan, Songyin Li, Ruixue Cheng, Yanchi Li

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2024. 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.

  1. Study on the Properties of Nano-CeOGels (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Article
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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

6 authors.

Han PengSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.ORCID 0009-0007-9684-4038
Defang ZhaoSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Linjian ShangguanSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Songyin LiSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.ORCID 0009-0008-4804-5431
Ruixue ChengSchool of Computer Engineering and Digital Technology, Teesside University, Middlesbrough TS1 3BA, UK.ORCID 0000-0002-0342-295X
Yanchi LiSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gel-state grease plays a vital and indispensable role in the long-term operation of wind turbines. To reduce carbon emissions and increase the reliability of wind turbines, this paper takes the gel-state Mobil SHC 461WT grease as the study object. Firstly, the rheological properties of the gel-state Mobil SHC 461WT grease were investigated using the Anton Paar MCR302 rotational rheometer. Secondly, the rheological characteristics of three different gel states of the Mobil SHC 461WT grease (additive content of 0.1% of RFM3000, SK3115, and PV611, respectively, in the gel-state Mobil SHC 461WT grease) were optimized under the same conditions. Finally, according to the experimental results and the Herschel-Bulkley (H-B) model, the RFM3000 additive has the best effect on improving the rheological characteristics of the gel-state Mobil SHC 461WT grease. This research provides a new idea and direction for the technological advancement of the gel-state grease industry.

Indexed as

carbon emissionsrheological characteristicsthe gel-state greasewind turbines

Identifiers

PMID38667672
PMCPMC11049599

What OpenQuestion holds

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LicenceCC BY
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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.