Minimum Miktarda Yağlama Tekniği İle Frezeleme İşleminde Yüzey Pürüzlülüğünün ANFIS İle Modellenmesi

Methods such as fuzzy logic and artificial neural networks have been used frequently recently in modeling. In this study, mathematical models for estimating surface roughness were created milling processes using intelligence techniques. Within the scope of 1.2738 mold steel was workpiece material. The experiments carried out under dry cutting conditions a minimum quantity lubrication technique. As parameters, speeds feed rates are selected. experiments; 80 mm/min, 130 180 mm/min values, 3 different 0.5 mm/teeth, 0.8 mm/teeth 1mm/teeth used. A total 27 conducted results modelled MATLAB program effect (MMY) technique on an adaptive network-based inference system (ANFIS) approach. At same time, model by performing regression analysis MINITAB. obtained ANFIS compared. result, provided 100% accuracy, while achieved 71% accuracy.