Electromagnetic shielding properties of LPBF produced Fe2.9wt.%Si alloy

Author:

Quercio MicheleORCID,Galbusera FrancescoORCID,Canova AldoORCID,Demir Ali GökhanORCID,Gruosso GiambattistaORCID,Previtali BarbaraORCID

Abstract

Abstract Ferromagnetic materials are used in various applications such as rotating electrical machines, wind turbines, electromagnetic shielding, transformers, and electromagnets. Compared to hard magnetic materials, their hysteresis cycles are featured by low values of coercive magnetic field and high permeability. The application of additive manufacturing to ferromagnetic materials is gaining more and more attraction. Indeed, thanks to a wider geometrical freedom, new topological optimized shapes for stator/rotor shapes can be addressed to enhance electric machines performances. However, the properties of the laser powder bed fusion (LPBF) processed alloy compared to conventionally produced counterpart must be still addressed. Accordingly, this paper presents for the first time the use of the LPBF for the manufacturing of Fe2.9wt.%Si electromagnetic shields. The process parameter selection material microstructure and the magnetic shielding factor are characterized.

Publisher

IOP Publishing

Subject

Materials Chemistry,General Energy,Materials Science (miscellaneous)

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neural Network Approaches for State of Charge Prediction of Rechargeable Lithium Polymer Batteries;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

2. Modelling of PV systems for preliminary technical analysis of PV power plants on agricultural land sites;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

3. Application of active thermography for the study of losses in components produced by laser powder Bed fusion;Journal of Magnetism and Magnetic Materials;2024-02

4. Experimental measurements and numerical modelling of additively manufactured Fe-Si cores;Journal of Magnetism and Magnetic Materials;2024-02

5. State-of-Charge assessment of Li-ion battery using Genetic Algorithm-Neural Network (GANN);2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA);2024-02-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3