A review of research on material removal mechanisms for laser-assisted machining of difficult-to-machine materials

Author:

Xiao Guijian,Wang Jingzhe,Zhu Shengwang,He Yi,Liu Zhenyang,Huang Yun

Abstract

AbstractWith the development of technology in aerospace, medical devices and other fields, high-performance difficult-to-machine materials have been widely used in these fields due to their good comprehensive mechanical properties. However, when using traditional machining methods, it is difficult to ensure the machining accuracy and surface quality, and at the same time, there are problems such as serious tool wear and low machining efficiency. Laser-assisted machining (LAM) technology is an advanced manufacturing process that softens the material in the machining area through the preheating effect of the laser, thus reducing the surface hardness of the material and improving the machinability of the material, which has the advantages of high efficiency and economy in machining difficult-to-machine materials. This paper introduces the common methods of establishing thermal models and simulation modeling of removal behavior in the LAM material removal process, summarizes the research progress on the removal behavior of LAM processing of various difficult-to-machine materials, and analyzes the shortcomings and challenges of the current research. Finally, the key issues of LAM material removal mechanism are proposed, and the development direction of LAM material removal technology is envisioned in order to provide a reference for the research and development in this field.

Funder

The National Natural Science Foundation of China

The Natural Science Foundation of Chongqing

The Innovation Group Science Fund of Chongqing Natural Science Foundation

The Basic Research Funds for Central Universities

Funded by Open Fund of State Key Laboratory of Mechanical Transmission, China

Publisher

Springer Science and Business Media LLC

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