Evidence map›Paper›PMID 41829300›Full record

ArticlePolymers2026

Synergistic Mechanical Enhancement and Surface Treatment for Superior Tribological Performance of Ultra-High Molecular Weight Polyethylene (UHMWPE) Films.

Qiao Gu, Yuchen Feng, Lingxiang Jiang

Abstract read
In one paragraph

Article in Polymers, 2026. 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
–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

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

3 authors.

Qiao GuSouth China Advanced Institute for Soft Matter Science and Technology (AISMST), State Key Laboratory of Pulp and Paper Engineering, School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, China.
Yuchen FengResearch Institute of Tsinghua, Pearl River Delta, Building F, Xiangxie International Apartment, No. 98 Xiangxue 8th Road, Huangpu District, Guangzhou 510530, China.
Lingxiang JiangSouth China Advanced Institute for Soft Matter Science and Technology (AISMST), State Key Laboratory of Pulp and Paper Engineering, School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study systematically investigates a novel two-step approach to enhance the tribological performance of ultra-high molecular weight polyethylene (UHMWPE) by combining biaxial stretching with a subsequent hot pressing treatment. The significance of this work lies in developing a continuous, high-efficiency process that allows for decoupled control of bulk mechanical properties and surface tribological characteristics. The material's evolution was comprehensively characterized using Differential Scanning Calorimetry (DSC), Scanning Electron Microscopy (SEM), tensile testing, and a Taber Abraser. Results show that biaxial stretching significantly enhanced the film's bulk mechanical strength and thermal stability, creating a wider processing window for subsequent surface treatment. A subsequent hot pressing step was then applied to refine the surface characteristics, yielding an optimal wear rate of 0.002 g/1000 cycles and a kinetic coefficient of friction (µk) of 0.106. Achieving such a concurrent optimization of high wear resistance and low friction is crucial in materials processing. The study demonstrates that the synergistic effect of biaxial orientation and hot pressing-induced crystal perfection provides a powerful and previously unreported pathway to achieving a superior balance of low wear and low friction in UHMWPE.

Indexed as

biaxial stretchingtribologyultra-high molecular weight polyethylene

Identifiers

PMID41829300
PMCPMC12986983

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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.