Fuzzy Rule Based Modeling for Surface Roughness in Machining of Titanium Alloy Using Nano Coated Carbide Inserts

Abstract

Titanium and its alloys are used in many industrial and engineering applications because of their good properties, such as high strength to weight ratio, excellent fracture and corrosion resistance. The major application of titanium has been in the aerospace industry. When turning of titanium alloys with conventional tools, the tool wear rate increases, because of high chemical reactivity and strong adhesion between the tool and work piece materials. The nano coated carbide cutting tool is used for the turning experiment. The cutting parameter for the experimental works are cutting speed, feed rate, nose radius, and depth of cut. Fuzzy logic modeling is used for the prediction of surface roughness in machining of titanium alloy. From the results, the Fuzzy logic model is the best suited method for modeling the turning parameters of titanium alloy by using Nanocoated carbide tools.