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Design optimization of cutting parameters for turning of AISI 304 austenitic stainless steel using Taguchi method

机译:Taguchi方法优化AISI 304奥氏体不锈钢车削切削参数的设计

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In the present work Taguchi method is used to optimize cutting parameters during dry turning of AISI 304 austenitic stainless steel with AlTiCrN coated tool. The coating was deposited on fine-grained K-grade (ISO K-20) cemented carbide cutting insert using physical vapor deposition (PVD) technique. The turning parameters evaluated are cutting speed of 200 and 260 m/min, feed rate of 0.20 and 0.26 mm/rev, coating thickness of 3.6 μm and 4.6 μm each at two levels. The analysis of results shows that the optimal combination of process parameters is obtained at 260 m/min cutting speed, 0.20 mm/rev feed and 4.6 μm coating thickness for minimum cutting force. It is observed that cutting speed plays an important role in minimization of cutting force and coating thickness plays an important role in minimizing average flank wear (V_b). A multiple linear regression models are developed for cutting force and average flank wear. The correlation coefficient is found to be more than 0.95, which shows that the developed model is reliable and could be used effectively for predicting the cutting force and average flank wear for the given tool and work material pair and within the domain of the cutting parameters.
机译:在当前的工作中,使用Taguchi方法在AISI 304奥氏体不锈钢的干车削过程中使用AlTiCrN涂层工具优化切削参数。使用物理气相沉积(PVD)技术将涂层沉积在细晶粒的K级(ISO K-20)硬质合金切削刀片上。评估的车削参数是切割速度分别为200和260 m / min,进给速度为0.20和0.26 mm / rev,涂层厚度分别为3.6μm和4.6μm(两个级别)。结果分析表明,在最小切削力的情况下,以260 m / min的切削速度,0.20 mm / rev的进给量和4.6μm的涂层厚度可获得最佳的工艺参数组合。可以看出,切削速度在最小化切削力中起着重要的作用,而涂层厚度在最小化平均侧面磨损(V_b)中起着重要的作用。针对切削力和平均侧面磨损开发了多个线性回归模型。相关系数被发现大于0.95,这表明所开发的模型是可靠的,并且可以有效地用于预测给定工具和工作材料对以及在切削参数范围内的切削力和平均侧面磨损。

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