Evidence map›Paper›PMID 36614470›Full record

ArticleMaterials (Basel, Switzerland)2022

How to Create Trusted Tribological Characterization Data of Soft Polymers as Input for FEM Simulations?

Marin Herr, F Xavier Borras, Dirk Spaltmann, Mirco Kröll, Franz Pirker, Ulrike Cihak-Bayr

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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

6 authors.

Marin HerrAC2T research GmbH, Viktor-Kaplan-Straße 2c, 2700 Wiener Neustadt, Austria.ORCID 0000-0002-8315-6435
F Xavier BorrasAC2T research GmbH, Viktor-Kaplan-Straße 2c, 2700 Wiener Neustadt, Austria.
Dirk SpaltmannBundesanstalt für Materialforschung und-Prüfung (BAM), Unter den Eichen 44-46, 12203 Berlin, Germany.
Mirco KröllBundesanstalt für Materialforschung und-Prüfung (BAM), Unter den Eichen 44-46, 12203 Berlin, Germany.ORCID 0000-0002-0986-3449
Franz PirkerAC2T research GmbH, Viktor-Kaplan-Straße 2c, 2700 Wiener Neustadt, Austria.
Ulrike Cihak-BayrAC2T research GmbH, Viktor-Kaplan-Straße 2c, 2700 Wiener Neustadt, Austria.

Funding

Austrian COMET program (Project InTribology) 872176European Union's Horizon 2020 research and innovation program (innovation action) 814494
6 · The paper itself

Abstract

Soft polymers such as the investigated polyurethane, characterized by low Young's moduli and prone to high shear deflection, are frequently applied in pneumatic cylinders. Their performance and lifetime without external lubrication are highly determined by the friction between seal and shaft and the wear rate. FEM simulation has established itself as a tool in seal design processes but requires input values for friction and wear depending on material, load, and velocity. This paper presents a tribological test configuration for long stroke, reciprocating movement, allowing the generation of data which meet the requirements of input parameters for FEM simulations without the geometrical influences of specific seal profiles. A numerical parameter study, performed with an FEM model, revealed the most eligible sample geometry as a flat, disc-shaped sample of the polymer glued on a stiff sample holder. At the same time, the study illustrates that the sensitivity of the contact pressure distribution to Poisson's ratio and CoF can be minimized by the developed and verified setup. It ensures robust, reliable, and repeatable experimental results with uniform contact pressures and constant contact areas to be used in databases and FEM simulations of seals, enabling upscaling from generically shaped samples to complex seal profiles.

Indexed as

digital twinFEMfrictionmaterial upscalingmodellingpolymer sealssimulation input datasoft polyurethanetribologywear

Identifiers

PMID36614470
PMCPMC9821839

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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.