Core Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence
Soft magnetic composite (SMC) is composed of ferromagnetic particles surrounded by an electrical insulation layer. The unique structure of SMC makes it difficult to calculate the eddy current loss of SMC. In addition, the temperature rise in the working condition affects the magnetic properties of t...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1c2b6765f9b24c498eac1f6d80b646fd |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:1c2b6765f9b24c498eac1f6d80b646fd |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:1c2b6765f9b24c498eac1f6d80b646fd2021-11-24T00:01:36ZCore Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence2169-353610.1109/ACCESS.2021.3072971https://doaj.org/article/1c2b6765f9b24c498eac1f6d80b646fd2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9402858/https://doaj.org/toc/2169-3536Soft magnetic composite (SMC) is composed of ferromagnetic particles surrounded by an electrical insulation layer. The unique structure of SMC makes it difficult to calculate the eddy current loss of SMC. In addition, the temperature rise in the working condition affects the magnetic properties of the material, which makes it necessary to consider the temperature effect in the process of core loss prediction. In this paper, a magnetic property test platform that considers the influence of temperature is established. The core losses of the SMC ring sample were measured at 20–100 °C, and the experimental results show that core loss decreases as the temperature increases. Then, based on the method of using the SMC model to calculate the core loss, the effect of temperature increase on hysteresis loss and eddy current loss was analyzed, and the existing model was improved to consider the effect of temperature on the core loss. Finally, the measured core losses at different temperatures were compared with the calculated ones, and it is shown that the improved model considering the influence of temperature agreed well with the experimental results, which improves the accuracy and convenience of core loss calculation for the electromagnetic device with SMC cores.Shun LiuTianhao LiJie LuoYiming YangChengcheng LiuYouhua WangIEEEarticleSoft magnetic composite (SMC)eddy current losstemperature effectcore lossElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153420-153428 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Soft magnetic composite (SMC) eddy current loss temperature effect core loss Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
spellingShingle |
Soft magnetic composite (SMC) eddy current loss temperature effect core loss Electrical engineering. Electronics. Nuclear engineering TK1-9971 Shun Liu Tianhao Li Jie Luo Yiming Yang Chengcheng Liu Youhua Wang Core Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence |
description |
Soft magnetic composite (SMC) is composed of ferromagnetic particles surrounded by an electrical insulation layer. The unique structure of SMC makes it difficult to calculate the eddy current loss of SMC. In addition, the temperature rise in the working condition affects the magnetic properties of the material, which makes it necessary to consider the temperature effect in the process of core loss prediction. In this paper, a magnetic property test platform that considers the influence of temperature is established. The core losses of the SMC ring sample were measured at 20–100 °C, and the experimental results show that core loss decreases as the temperature increases. Then, based on the method of using the SMC model to calculate the core loss, the effect of temperature increase on hysteresis loss and eddy current loss was analyzed, and the existing model was improved to consider the effect of temperature on the core loss. Finally, the measured core losses at different temperatures were compared with the calculated ones, and it is shown that the improved model considering the influence of temperature agreed well with the experimental results, which improves the accuracy and convenience of core loss calculation for the electromagnetic device with SMC cores. |
format |
article |
author |
Shun Liu Tianhao Li Jie Luo Yiming Yang Chengcheng Liu Youhua Wang |
author_facet |
Shun Liu Tianhao Li Jie Luo Yiming Yang Chengcheng Liu Youhua Wang |
author_sort |
Shun Liu |
title |
Core Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence |
title_short |
Core Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence |
title_full |
Core Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence |
title_fullStr |
Core Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence |
title_full_unstemmed |
Core Loss Analysis of Soft Magnetic Composites Based on 3D Model Considering Temperature Influence |
title_sort |
core loss analysis of soft magnetic composites based on 3d model considering temperature influence |
publisher |
IEEE |
publishDate |
2021 |
url |
https://doaj.org/article/1c2b6765f9b24c498eac1f6d80b646fd |
work_keys_str_mv |
AT shunliu corelossanalysisofsoftmagneticcompositesbasedon3dmodelconsideringtemperatureinfluence AT tianhaoli corelossanalysisofsoftmagneticcompositesbasedon3dmodelconsideringtemperatureinfluence AT jieluo corelossanalysisofsoftmagneticcompositesbasedon3dmodelconsideringtemperatureinfluence AT yimingyang corelossanalysisofsoftmagneticcompositesbasedon3dmodelconsideringtemperatureinfluence AT chengchengliu corelossanalysisofsoftmagneticcompositesbasedon3dmodelconsideringtemperatureinfluence AT youhuawang corelossanalysisofsoftmagneticcompositesbasedon3dmodelconsideringtemperatureinfluence |
_version_ |
1718416080782753792 |