Multi-physics coupling model of high-power giant magnetostrictive transducer considering the spatio-temporal distribution of temperature

• A test platform for thermal properties of giant magnetostrictive materials. • Test method for thermal properties of giant magnetostrictive materials. • Modeling methods that consider temperature distribution and material properties. • The temperature performance of giant magnetostrictive transducer is studied. The high-power giant magnetostrictive transducer (GMT) is crucial for underwater active target detection systems. The giant magnetostrictive material (GMM) rod functions as the principal vibrating component and determines the output efficacy of the GMT. Extended high-power use of the GMM leads to significant overheating, which alters its properties and causes erratic fluctuations in the GMT’s output performance. Current research frequently neglects the thermal impacts on high-power GMT. This study introduces a test platform with constant-temperature heating to comprehensively assess the performance parameters of large-scale GMM under various conditions. The experimental data outlines the magnetic-thermal–mechanical relationship of GMM, and a multi-physical field-coupling model of GMT that incorporates temperature gradients is introduced. A prototype is ultimately developed for empirical validation, indicating that the model’s maximum error is roughly 4.29 %. This method provides a thorough analysis of GMT performance fluctuations and acts as a standard for developing long-term GMT operational strategy.

Authors

Institutions

Publication Details

Journal
Applied Thermal Engineering
Published
2025-07-19
DOI
https://doi.org/10.1016/j.applthermaleng.2025.127504
Primary Topic
Magnetic Properties and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-physics coupling model of high-power giant magnetostrictive transducer considering the spatio-temporal distribution of temperature

Bing Gao, Nengtong Zhao, Chaoyi Peng, Xiuxian Xu et al.
Applied Thermal Engineering
Magnetic Properties and Applications
article

Multi-physics coupling model of high-power giant magnetostrictive transducer considering the spatio-temporal distribution of temperature

Bing Gao, Nengtong Zhao, Chaoyi Peng, Xiuxian Xu, Xu Yan
article en

Abstract

• A test platform for thermal properties of giant magnetostrictive materials. • Test method for thermal properties of giant magnetostrictive materials. • Modeling methods that consider temperature distribution and material properties. • The temperature performance of giant magnetostrictive transducer is studied. The high-power giant magnetostrictive transducer (GMT) is crucial for underwater active target detection systems. The giant magnetostrictive material (GMM) rod functions as the principal vibrating component and determines the output efficacy of the GMT. Extended high-power use of the GMM leads to significant overheating, which alters its properties and causes erratic fluctuations in the GMT’s output performance. Current research frequently neglects the thermal impacts on high-power GMT. This study introduces a test platform with constant-temperature heating to comprehensively assess the performance parameters of large-scale GMM under various conditions. The experimental data outlines the magnetic-thermal–mechanical relationship of GMM, and a multi-physical field-coupling model of GMT that incorporates temperature gradients is introduced. A prototype is ultimately developed for empirical validation, indicating that the model’s maximum error is roughly 4.29 %. This method provides a thorough analysis of GMT performance fluctuations and acts as a standard for developing long-term GMT operational strategy.

Applied Thermal EngineeringVol. 279
Hunan University (CN), Guangdong Hydropower Planning & Design Institute (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 88%
Magnetic Properties and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.