Evidence map›Paper›PMID 36617102›Full record

ArticleSensors (Basel, Switzerland)2023

Surface Decarburization Depth Detection in Rods of 60Si2Mn Steel with Magnetic Barkhausen Noise Technique.

Peng Li, Xianxian Wang, Dongdong Ding, Zhaoxiang Gao, Wen Fang, Chaolei Zhang, Cunfu He, Xiucheng Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
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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

8 authors.

Peng LiFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0002-1707-0158
Xianxian WangFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Dongdong DingFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Zhaoxiang GaoFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Wen FangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Chaolei ZhangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-5252-5680
Cunfu HeFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Xiucheng LiuFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0002-1067-8734

Funding

National Key R&D Program of China 2018YFF01012300National Natural Science Foundation of China Project Nos. 11527801 and 11872081
6 · The paper itself

Abstract

Magnetic Barkhausen noise (MBN), sensitive to the microstructure of materials, can be applied in the surface decarburization depth detection of ferromagnetic specimens. However, the effects of core microstructures on the determination results of decarburization depth have not been explored. In this study, MBN was employed to evaluate the magnetic properties of the decarburized 60Si2Mn spring steels with martensitic and pearlitic core microstructures. Spring steel samples were austenitized at different times to generate different decarburization depths. Seven magnetic features were extracted from the MBN butterfly profiles. We used the variation coefficient, linear correlation coefficient, and normalized sensitivity to discuss the influence of the core microstructures on these seven features. The different core microstructures led to a large difference in the ability of MBN features to characterize the decarburization layer depth. However, three features of MBN butterfly profiles demonstrated an approximately linear dependency (linear correlation coefficient > 94%) on surface decarburization depth and monotonically increased with the increase in depth in both core microstructures of spring steels.

Indexed as

MagnetsSteelMagnetic PhenomenaPhysical PhenomenaSeasonsSteelcore microstructuremagnetic Barkhausen noisespring steelsurface decarburization depth

Identifiers

PMID36617102
PMCPMC9823766

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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.