Process Efficiency Improvement of EDM Using Inductive Machine Learning

Different non-traditional machining techniques are increasingly emploued in manufacturing of complex machine components. Among the non-traditional methods of machining processes, electrical discharge machining (EDM) hasdraum a great deal of researchers attention because of its broad industrial applications.EDM is undels; used in machining high strength steel, tungsten carbide and hardened steel. In the past decades intensive research has been carried out in the field of machining identification, modeling and simulation. Many of the result obtained have led to implementation of process control and optimization in industrial environment. Models are designed on the bases of Probabilistic methods and deterministic approaches resulting in mathematical models which more or less diverge .from real process, further some neto approaches like Artificial Intelligence, neural nettoorks may apply to over come from these deficiencies.