Evidence map›Paper›PMID 39686124›Full record

ReviewSensors (Basel, Switzerland)2024

A Survey of the Magnetic Anisotropy Detection Technology of Ferromagnetic Materials Based on Magnetic Barkhausen Noise.

Liting Wang, Changjie Xu, Libo Feng, Wenjie Wang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors.

Liting WangSchool of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China.ORCID 0000-0002-6094-0569
Changjie XuSchool of Emergency Equipment, North China Institute of Science and Technology, Langfang 065201, China.
Libo FengSchool of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China.ORCID 0009-0001-5011-6955
Wenjie WangSchool of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China.ORCID 0000-0002-9045-0974

Funding

Basic Research Funds for Universities Directly Under the Inner Mongolia Autonomous Region in 2022 grant number 2023QNJS067Central-led Local Science and Technology Development Fund grant number 246Z3706GHebei Province Higher Education Science and Technology Research Project grant number ZD2021419Innovation Fund of Inner Mongolia University of Science and Technology grant number 0303052205Langfang Science and Technology Research and Development Programme Self-financed Projects grant number 2021011051 and 2023011056Natural Science Foundation of Inner Mongolia grant number 2022QN05010 and 2022QN06002
6 · The paper itself

Abstract

Magnetic Barkhausen noise (MBN) is one of the most effective methods for determining the easy axis of ferromagnetic materials and for evaluating texture and residual stress in a nondestructive manner. MBN signals from multiple angles and different magnetization sections can be used to characterize magnetic anisotropy caused by various magnetization mechanisms. This paper reviews the development and application of magnetic anisotropy detection technology, and the MBN anisotropy models that take into account domain wall motion and magnetic domain rotation are analyzed thoroughly. Subsequently, the MBN anisotropy detection devices and detection methods are discussed, and the application of magnetic anisotropy detection technology in stress measurement and texture evaluation is reviewed. From the perspective of improving detection accuracy, the influence of composite mechanisms on magnetic anisotropy is analyzed. Finally, the opportunities and challenges faced by current magnetic anisotropy detection technology are summarized. The relevant conclusions obtained in this paper can be used to guide the MBN evaluation of magnetic anisotropy in ferromagnetic materials.

Indexed as

detection parameterbeasy axismagnetic anisotropymagnetic Barkhausen noisestresstexture

Identifiers

PMID39686124
PMCPMC11644475

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.