Investigating electrochemical drilling (ECD) using statistical and soft computing techniques

摘要: In the present study, five modeling approaches of RA, MLP, MNN, GFF, and CANFIS were applied so as to estimate radial overcut values in electrochemical drilling process. For these models, four input variables, namely electrolyte concentration, voltage, initial machining gap, tool feed rate, selected. The developed models evaluated terms their prediction capability with measured values. It was clearly seen that proposed capable predicting overcut. However, MLP model predicted higher accuracy than other models. statistical analysis showed how much mainly influenced by voltage concentration during