In Electrical Discharge Machining, as one of often used machining proceses for prototyping, appropriate average current in the gap has to be selected for the given machining surface to obtain the highest material removal rate at low electrode wear. Thus, rough machining parameters have to be selected according to the machining surface. In this paper, inductive machine learning is used to derive a model for selection of process parameters.
COBISS.SI-ID: 10882587