Determination of EDM Parameters based on Electrode Wear

전극 소모비에 기초한 방전 조건 생성

Electrical Discharge Machining, with its ability to machine hard metals and tough shapes has become a very desirable process. In the past few years, Electrical Discharge Machining (EDM) has been solidly established in tool-room and large-scale production. However, in spite of its indispensability in many areas of metal removal applications, the theoretical basis of EDM process is yet to be established. More importantly, the information regarding essential technology parameters such as machining rate and resulting surface roughness integrity, has not been raised to the level of a general technical science. The paper presents a method, which can be determining approprate machining parameters for the given parameters such as electrode wear and surface roughness based on machining guideline utilizing neural networks.