Study On ELID Grinding Intelligent Machining System

High surface quality and machining efficiency of hard and brittle materials such as single crystal silicon, tungsten carbide are required by the rapid development of electronic and optical materials. Electrolytic In-Process Dressing (ELID), which could achieve high efficiency and super-smooth surface, has been attached much importance in science research and industry fields gradually.ELID has many advantages such as high efficiency and accuracy, superior surface quality, and it could be simply applied and adaptive to many kinds of materials, especially its distinctive superiority for ceramic, tungsten carbide etc. This advanced grinding technique will be the major development tendency in super-precision machining field.This dissertation firstly aims to combine artificial intelligent (AI) and microcontroller technique to ELID grinding. On the base of accumulated machining experience and optimized processing parameters, an ELID machining system, which could detect the change of machining process and real-time control the process, was developed. The objective of the AI system is to optimize machining process and improve automation level.The mechanism of oxide layer on the wheel surface during ELID processing was emphasized, the grinding state was proposed to be characterized with electric current in this dissertation. And the relationship between electric current and ground surface has been studied. The ELID machining is a typical nonlinear and time-varied process, based on identifying the machining state, fuzzy control rules was established through simulation on MATLAB software, and an ELID intelligent grinding system has been developed by adopting microcontroller technique.Finally, the developed ELID intelligent grinding system was used to grind tungsten carbide, experiment results indicate that its dynamic response and stability have been improved obviously.