Abstract

In this paper, an attempt is made to evaluate the performance of wiper ceramic cutting insert and observe the influence of hardness on Arithmetic Mean Roughness (Ra), Mean depth of roughness (Rz), Total roughness (Rt) and Tool wear (Vb) during the hard turning of AISI4340 steel. Twenty-seven experimental runs were planned according to the Response Surface Methodology based Box-Behnken Design approach and those are performed on a CNC lathe. Analysis of Variance is employed to analyze the significance of the input parameters and in terms of their contribution percentages. Mathematical models for surface roughness characteristics and tool wear were developed using the Response Surface Methodology. Results reveal that the hardness and feed rate have significant effects on the surface roughness characteristics and tool wear. Finally, the experimental data further analysed to predict optimal machining conditions for multiple response factors optimization through Desirability function approach.

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