Abstract

Difficult-to-machine materials (DMMs) are extensively applied in critical fields such as aviation, semiconductor, biomedicine, and other key fields due to their excellent material properties. However, traditional machining technologies often struggle to achieve ultra-precision with DMMs resulting from poor surface quality and low processing efficiency. In recent years, field-assisted machining (FAM) technology has emerged as a new generation of machining technology based on innovative principles such as laser heating, tool vibration, magnetic magnetization, and plasma modification, providing a new solution for improving the machinability of DMMs. This technology not only addresses these limitations of traditional machining methods, but also has become a hot topic of research in the domain of ultra-precision machining of DMMs. Many new methods and principles have been introduced and investigated one after another, yet few studies have presented a comprehensive analysis and summarization. To fill this gap and understand the development trend of FAM, this study provides an important overview of FAM, covering different assisted machining methods, application effects, mechanism analysis, and equipment design. The current deficiencies and future challenges of FAM are summarized to lay the foundation for the further development of multi-field hybrid assisted and intelligent FAM technologies.

Details

Title
Field-assisted machining of difficult-to-machine materials
Author
Zhang, Jianguo 1   VIAFID ORCID Logo  ; Zheng, Zhengding 1   VIAFID ORCID Logo  ; Huang, Kai 1 ; Lin, Chuangting 1 ; Huang, Weiqi 1 ; Chen, Xiao 2 ; Xiao, Junfeng 1 ; Xu, Jianfeng 1 

 State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology , Wuhan 430074, People’s Republic of China 
 School of Mechanical Engineering, Hubei University of Technology , Wuhan 430068, People’s Republic of China 
First page
032002
Publication year
2024
Publication date
Jun 2024
Publisher
IOP Publishing
e-ISSN
26317990
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2954260959
Copyright
© 2024 The Author(s). Published by IOP Publishing Ltd on behalf of the IMMT. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.