The estimation of specific energy with artificial neural network in marbel cutting machine

In this study, two different artificial neural network (ANN) applications were realized. Matlab programme was used for Artificial neural network application in both implementations. In first application, the specific energy factor (SE) was tried to estimate in marble cutting operation, by using ANN method. For this purpose, code based program was written first, then ?nftool? toolbox was used in Matlab. Cutting speed, speed of circular saw rotation and marble?s hardness, which were used in cutting experiments, were taken as inputs, and according to these parameters, the specific energy factor was estimated. As conclusion, it was reported that estimated data were quite close to experimental result.In second application, spesific energy was estimated by using ANN, again. But, in this application, four different parameter were taken into account which effect the spesific energy. For this purpose, motor power using for cutting process was allowed for to estimation of spesific energy. In addition, normalization transaction was applied in some parameter, because of that could expedite to ANN?s training. As conclusion, it was reported that estimated data were quite close to experimental result.