Evidence map›Paper›PMID 39771358›Full record

ArticlePolymers2024

From Experimentation to Optimization: Surface Micro-Texturing for Low-Friction and Durable PTFE-Steel Interfaces Under Full Film Lubrication.

Risheng Long, Jincheng Hou, Yimin Zhang, Qingyu Shang, Chi Ma, Florian Pape, Max Marian

Abstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Risheng LongEquipment Reliability Institute, Shenyang University of Chemical Technology, Shenyang 110142, China.ORCID 0000-0001-5643-894X
Jincheng HouEquipment Reliability Institute, Shenyang University of Chemical Technology, Shenyang 110142, China.
Yimin ZhangEquipment Reliability Institute, Shenyang University of Chemical Technology, Shenyang 110142, China.
Qingyu ShangEquipment Reliability Institute, Shenyang University of Chemical Technology, Shenyang 110142, China.
Chi MaChina-Spain Joint Laboratory on Material Science, Shenyang University of Chemical Technology, Shenyang 110142, China.ORCID 0000-0002-5127-0487
Florian PapeInstitute of Machine Design and Tribology (IMKT), Leibniz University Hannover, An der Universität 1, 30823 Garbsen, Germany.ORCID 0000-0002-2834-1929
Max MarianInstitute of Machine Design and Tribology (IMKT), Leibniz University Hannover, An der Universität 1, 30823 Garbsen, Germany.ORCID 0000-0003-2045-6649

Funding

"Da Biao Li Xiang" project of Shenyang University of Chemical Technology No. 512000001185National Natural Science Foundation of China No. 52275156Natural Science Foundation of Liaoning Province No. 2023-MS-234Schaeffler FAG Foundation within the Future Technology Award 2022 NullScientific Research Fund of Liaoning Provincial Education Department No. LJKMZ20220800Vicerrectoría Académica (VRA) of the Pontificia Universidad Católica de Chile within the Programa de Inserción Académica (PIA) Null
6 · The paper itself

Abstract

To enhance the sliding tribological performance between PTFE and 40#steel (AISI 1040) under full film lubrication conditions, laser surface texturing (LST) technology was employed to prepare micro-dimples on the contact surfaces of 40# steel discs. The Box-Behnken design response surface methodology (BBD-RSM) was applied to optimize the micro-dimple parameters. Coefficients of friction (COFs), wear losses and worn contact surfaces of the PTFE-40# steel tribo-pairs were researched through repeated wear tests, as lubricated with sufficient anti-wear hydraulic oil. The influencing mechanism of micro-dimples on the tribological behavior of tribo-pairs was also discussed. The results proved that micro-dimples can significantly improve the tribological properties of PTFE-40#steel tribo-pairs. The deviation between the final obtained average COF and the prediction by the BBD-RSM regression model was only 0.0023. Following optimization, the average COF of the PTFE-40# steel tribo-pair was reduced by 39.34% compared to the smooth reference. The wear losses of the PTFE ring and 40# steel disc decreased by 91.8% and 30.3%, respectively. This study would offer a valuable reference for the optimal design of key seals used in hydraulic cylinders.

Indexed as

parameter optimizationPTFE–40# steel tribo-pairsurface micro-texturingtribological behavior

Identifiers

PMID39771358
PMCPMC11679209

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Registered trials

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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.