Shastri Renu Kiran, Mohanty Chinmaya Prasad, Dash Sitaram, Gopal Karthick Muthaiah Palaniappan, Annamalai A Raja, Jen Chun-Ping
School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India.
School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune 412105, India.
Nanomaterials (Basel). 2022 Jan 25;12(3):384. doi: 10.3390/nano12030384.
The most well-known and widely used non-traditional manufacturing method is electrical discharge machining (EDM). It is well-known for its ability to cut rigid materials and high-temperature alloys that are difficult to machine with traditional methods. The significant challenges encountered in EDM are high tool wear rate, low material removal rate, and high surface roughness caused by the continuous electric spark generated between the tool and the workpiece. Researchers have reported using a variety of approaches to overcome this challenge, such as combining the die-sinking EDM process with cryogenic treatment, cryogenic cooling, powder-mixed processing, ultrasonic assistance, and other methods. This paper examines the results of these association techniques on various performance measures, such as material removal rate (MRR), tool wear rate (TWR), surface roughness, surface integrity, and recast layer formed during machining, and identifies potential gap areas and proposes a solution. The manuscript is useful for improving performance and introducing new resolutions to the field of EDM machining.
最著名且应用最广泛的非传统制造方法是电火花加工(EDM)。它以能够切割用传统方法难以加工的硬质材料和高温合金而闻名。电火花加工中遇到的重大挑战是刀具磨损率高、材料去除率低以及由于刀具与工件之间持续产生电火花而导致的表面粗糙度高。研究人员报告了使用多种方法来克服这一挑战,例如将电火花成型加工工艺与低温处理、低温冷却、粉末混合加工、超声辅助等方法相结合。本文研究了这些关联技术对各种性能指标的影响结果,如材料去除率(MRR)、刀具磨损率(TWR)、表面粗糙度、表面完整性以及加工过程中形成的重铸层,并确定了潜在的差距领域并提出了一种解决方案。该手稿对于提高电火花加工领域的性能和引入新的解决方案很有用。