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 (R_a), Mean depth of roughness (R_z), Total roughness (R_t) and Tool wear (V_b) 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.

本文尝试评估雨刮器陶瓷切削刀片的性能，并观察硬度对算术平均粗糙度（R _a），平均粗糙度（R _z），总粗糙度（R _t）和刀具磨损的影响。 （V _b）在AISI4340钢的硬车削过程中。根据基于“响应表面方法”的Box-Behnken设计方法，计划进行27个实验运行，而这些实验是在CNC车床上进行的。方差分析用于分析输入参数的重要性及其贡献百分比。使用响应表面方法学开发了表面粗糙度特性和工具磨损的数学模型。结果表明，硬度和进给速度对表面粗糙度特征和工具磨损具有显着影响。最后，通过期望函数方法进一步分析了实验数据，以预测用于多个响应因子优化的最佳加工条件。