Evidence map›Paper›PMID 39274627›Full record

ArticleMaterials (Basel, Switzerland)2024

Hydrogen Embrittlement Detection Technology Using Nondestructive Testing for Realizing a Hydrogen Society.

Yamato Abiru, Hiroshi Nishiguchi, Masato Maekawa, Takara Nagata, Toshiya Itaya, Michie Koga, Toshiomi Nishi

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yamato AbiruNational Institute of Technology, Sasebo College, Nagasaki 857-1193, Japan.
Hiroshi NishiguchiNational Institute of Technology, Sasebo College, Nagasaki 857-1193, Japan.
Masato MaekawaDepartment of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan.
Takara NagataDepartment of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan.
Toshiya ItayaNational Institute of Technology, Suzuka College, Mie 510-0294, Japan.ORCID 0000-0003-0709-062X
Michie KogaKyuken Co., Ltd., Saga 849-0932, Japan.
Toshiomi NishiNational Institute of Technology, Suzuka College, Mie 510-0294, Japan.

Funding

Japan Keirin Autorace foundation (JKA) no information
6 · The paper itself

Abstract

Crack detection in high-pressure hydrogen gas components, such as pipes, is crucial for ensuring the safety and reliability of hydrogen infrastructure. This study conducts the nondestructive testing of crack propagation in steel piping under cyclic compressive loads in the presence of hydrogen in the material. The specimens were hydrogen-precharged through immersion in a 20 mass% ammonium thiocyanate solution at 40 °C for 72 h. The crack growth rate in hydrogen-precharged specimens was approximately 10 times faster than that in uncharged specimens, with cracks propagating from the inner to outer surfaces of the pipe. The fracture surface morphology differed significantly, with flat surfaces in hydrogen-precharged materials and convex or concave surfaces in uncharged materials. Eddy current and hammering tests revealed differences in the presence of large cracks between the two materials. By contrast, hammering tests revealed differences in the presence of a half size crack between the two materials. These findings highlight the effect of hydrogen precharging on crack propagation in steel piping and underscore the importance of early detection methods.

Indexed as

eddy current testinghammering testinghydrogen embrittlementnondestructive testing

Identifiers

PMID39274627
PMCPMC11396673

What OpenQuestion holds

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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.