Abstract

AbstractNowadays, the main concern is the high-speed machining temperature generation at the cutting areas. At this temperature, tools have to withstand their strength and hardness. Tool life and surface quality like surface microhardness are highly affected by the temperature of the cutting zone. So, flood cooling is used to reduce the temperature at the machining area. AISI 52100 alloy steel is widely used in making dies and bearing due to its reasonable force bearing capability and resistance against wear and corrosion. In this study, the process parameters like tool material (coated and uncoated carbide), cutting speed (Vc), feed rate (f), and axial depth of cut (DOC) are considered at their different level during the face milling by using flood cooling. Taguchi L 18 orthogonal array coupled with gray relational analysis (GRA) is used for simultaneous optimization. This study aims to find the optimal process parameters for small wear in tools with high surface microhardness. Vc is the most significant factor for the output characteristics during machining. The optimal parameters for high gray relational grade value are coated tool, Vc-1, f-3, and DOC-3.KeywordsTool lifeSurface microhardnessTGRAFace milling

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