Abstract
Abstract The performance of polycrystalline cubic boron nitride (PCBN) was studied to investigate surface roughness analysis at various machining parameters. The PCBN tools were used in tool steel AISI D2 steel with hardness of 64 HRC. Machining test was performed with dry cutting condition at different cutting speed, feed and depth of cut. In order to obtain desired surface quality by machining, proper machining parameter selection is very essential. This can be achieved by higher quality and productivity in metal cutting industry. The aim of the present work is to investigate effect of process parameter on surface finish and material removal rate (MRR) to obtain the optimal setting of the process parameters. It influences the cutting parameters during machining L27 experimental will run based on an orthogonal array method. During the experimental process parameters such as speed, feed and depth of cut are used to explore their effect on the surface roughness (Ra) of the work piece. Chip morphology study indicates different types of chips operating under different cutting conditions.
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