AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (768.2 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Special Issue Paper

Additive Manufacturing for Enhanced Electric Machine Performance

You Zhou1,2Christopher H. T. Lee1( )
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Show Author Information

Abstract

Additive manufacturing (AM) has emerged as a transformative technology in electric machine (EM) design and production, addressing critical challenges in power density, thermal management, and material utilization. This review systematically examines recent advancements in 3D-printed conductive and magnetic materials, process innovations, and topology optimization strategies. Case studies in aerospace, electric vehicles, and medical robotics have demonstrated AM’s ability to reduce EM weight, improve torque density, and enable complex geometries, such as conformal cooling channels and lattice-structured rotors. Challenges, including residual-stress control, material standardization, and scalability, are critically analyzed. A roadmap for AM adoption in next-generation EMs is concluded, hybrid manufacturing and sustainable material development are emphasized.

References

【1】
【1】
 
 
Chinese Journal of Electrical Engineering
Pages 101-113

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Zhou Y, Lee CHT. Additive Manufacturing for Enhanced Electric Machine Performance. Chinese Journal of Electrical Engineering, 2025, 11(2): 101-113. https://doi.org/10.23919/CJEE.2025.000143

3861

Views

332

Downloads

4

Crossref

3

Scopus

0

CSCD

Received: 14 March 2025
Revised: 26 May 2025
Accepted: 03 June 2025
Published: 30 June 2025
© 2025 China Machinery Industry Information Institute