A Nonlinear Magnetoelastic Energy Model and Its Application in Domain Wall Velocity Prediction.

Li-Bo Wu, Yu-Feng Fan, Feng-Bo Sun, Kai Yao, Yue-Sheng Wang

Abstract read

In one paragraph

Article in Sensors (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.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Li-Bo WuDepartment of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.

Yu-Feng FanChina Construction Second Bureau Installation Engineering Co., Ltd., Beijing 100176, China.

Feng-Bo SunChina Construction Second Engineering Bureau Co., Ltd., Beijing 100160, China.

Kai YaoDepartment of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0001-6763-2772

Yue-Sheng WangDepartment of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0002-0043-8411

Funding

China State Construction Engineering Corporation CSCEC-2021-Q-55Fundamental Research Funds for the Central Universities No. 2019JBM82National Natural Science Foundation of China No. 11872104

6 · The paper itself

Abstract

In this letter, we propose a nonlinear Magnetoelastic Energy (ME) with a material parameter related to electron interactions. An attenuating term is contained in the formula of the proposed nonlinear ME, which can predict the variation in the anisotropic magneto-crystalline constants induced by external stress more accurately than the classical linear ME. The domain wall velocity under stress and magnetic field can be predicted accurately based on the nonlinear ME. The proposed nonlinear ME model is concise and easy to use. It is important in sensor analysis and production, magneto-acoustic coupling motivation, magnetoelastic excitation, etc.

Indexed as

domain wall velocitymagneto-crystalline constantsnonlinear magnetoelastic energy

Identifiers

PMID35891051

DOI10.3390/s22145371

PMCPMC9318154

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