Abstract
This study includes fuzzy logic modeling of surface roughness experimental values obtained as a result of machining Co28Cr6Mo medical alloy in CNC turning (rotational speed (n), feed rate (f), depth of cut (a) and tool tip radius (r)) depending on cutting parameters. According to the hardness of the material to be cut and the type of cutting tool used, fuzzy logic solution models that can determine the most suitable tool tip radius for the surface roughness (Ra) were created. In the model created using fuzzy logic, experimental studies on the rule base created by using the membership functions of the input parameters and the output parameters, the membership function foot widths and the relations between the membership functions were used. Triangle (trimf) membership function was chosen with Mamdani approach on the rule base. The results obtained using the established model are interpreted with 2 and 3 dimensional graphics for tool tip radius. We can say that a good surface quality (minimum surface roughness) is obtained on the material with the most suitable (optimal) tool tip radius determined by models established with fuzzy logic.
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