Evidence map›Paper›PMID 40013541›Full record

ReviewACS applied materials & interfaces2025

Effects of Radiation Dose on Lubricants: A Review of Experimental Studies.

Michal Macha, Dominika Senajova, Tim Giles, Marco Calviani, Sylvain Girard, Matteo Ferrari

Abstract readReview
In one paragraph

Review in ACS applied materials & interfaces, 2025. 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.

Michal MachaCERN, CH-1211 Geneva 23, Switzerland.ORCID 0000-0002-7690-3033
Dominika SenajovaCERN, CH-1211 Geneva 23, Switzerland.
Tim GilesCERN, CH-1211 Geneva 23, Switzerland.
Marco CalvianiCERN, CH-1211 Geneva 23, Switzerland.
Sylvain GirardUniversité Jean Monnet, Saint Etienne, CNRS, Institut d'optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023 Saint-Etienne, France.
Matteo FerrariUniversité Jean Monnet, Saint Etienne, CNRS, Institut d'optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023 Saint-Etienne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the key priorities in modern mechanical engineering is to ensure the safe, long-lasting operation of systems while maximizing energy efficiency and withstanding extreme and damaging conditions. This is especially relevant in environments subject to radiation, in which materials, depending on their chemical and elemental composition, exhibit specific limitations. In this review, we summarize the current state of the art in research and development regarding the performance of lubricants in radiation fields and the effectiveness of radiation-tolerant lubricated systems. We discuss the current understanding of radiation-damage mechanisms in dry-film lubricants, oils, and greases, and we summarize the experimental results of the irradiation studies performed to date. We compile and compare the established performance of various material types and chemistries in intense ionizing radiation fields. Finally, we provide an overview of future research directions, highlighting the challenges faced in irradiation studies, considerations relating to the selection of materials, new facilities and experiments aimed at advancing the field, and other issues related to the safe application and use of lubricant materials in radiation environments.

Indexed as

frictiongreaseionizing radiationlubricantnanomaterialsneutron radiationoilpolymerradiationtribologyγ radiation

Identifiers

PMID40013541
PMCPMC11912217

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.