Optimization of the EDM sinking process using Neuro-Fuzzy Control

Due to the increasing demands on modem manufacturing processes, traditional process control and optimization systems have reached their limits and reveal serious shortcomings. There are several problems experienced in electro-discharge machining (EDM) which are caused by the continual variation in machining parameters during the manufacturing process or by unexpected process disturbances. Also, controllers for the gap width and adaptive modification of the generator parameters usually work independently, often with negative effects on one another. Intelligent technologies like fuzzy logic and neural networks can be implemented as a solution to the above problems. This can help to increase the economical viability of manufacturing. The article therefore presents such application in the field of EDM sinking with improved gap width control and are prevention based on Neuro-Fuzzy Control.