Optimization of hard turning process parameters with PCBN tool based on the Taguchi method
Optimization of hard turning process parameters with PCBN tool based on the Taguchi method
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发表时间：
2012-06
影响因子：
0.9
通讯作者：
Franko Puh;Toni Šegota;Z. Jurković
中科院分区：
文献类型：
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作者：
Franko Puh;Toni Šegota;Z. Jurković
本文应用田口方法，寻找PCBN刀具硬态车削淬硬钢AISI 4142的最佳工艺参数。采用正交设计（L9（3））、信噪比（）和方差分析（ANOVA）研究了考虑表面粗糙度的切削参数（切削速度、进给量和切削深度）的性能特征。确定了影响表面粗糙度的重要因素，并通过寻求最佳表面粗糙度（响应）和信噪比来确定最佳切削组合。采用多元回归方法建立了表面粗糙度与自变量的指数、一阶线性和二阶预测模型。最后，验证性试验验证了田口设计是成功的，在优化车削参数的表面粗糙度。S/N
In this paper, the Taguchi method is applied to find optimum process parameters for hard turning of hardened steel AISI 4142 using PCBN tool. Orthogonal design (L9 (3 )), signal-to-noise ratio ( ) and analysis of variance (ANOVA) are applied to study performance characteristics of cutting parameters (cutting speed, feed and depth of cut) with consideration of surface roughness. Significant factors affecting surface roughness were identified, and the optimal cutting combination was determined by seeking the best surface roughness (response) and signal-to-noise ratio. Using multiple regression the exponential, first order linear and second order prediction models were obtained to find the correlation between surface roughness and independent variables. Finally, confirmation tests verified that the Taguchi design was successful in optimizing turning parameters for surface roughness. S/N