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Application of Taguchi method for cutting force optimization in rock sawing by circular diamond sawblades

机译:Taguchi方法在圆形金刚石锯片锯片切削力优化中的应用

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In this paper, an optimization study was carried out for the cutting force (F c ) acting on circular diamond sawblades in rock sawing. The peripheral speed, traverse speed, cut depth and flow rate of cooling fluid were considered as operating variables and optimized by using Taguchi approach for the F c . L 16 (4 4 ) orthogonal array was chosen for the experimental trials based on the operating variables and their levels. The signal-to-noise (S/N) ratios and the analysis of variance (ANOVA) were employed to determine optimum cutting conditions and significant operating variables, respectively. The F c was also modelled based on the operating variables using regression analysis. The developed model was then verified using various statistical approaches. The results revealed that the operating variables of circular diamond sawblades can be precisely optimized by Taguchi approach for the F c in rock sawing. The cut depth and peripheral speed were statistically determined as the significant operating variables affecting F c . Furthermore, the modelling results showed that the proposed model can be effectively used for the prediction of F c in practical applications.
机译:本文对岩石锯切中作用在圆形金刚石锯片上的切削力(F c)进行了优化研究。冷却流体的圆周速度,移动速度,切削深度和流速被视为操作变量,并使用Taguchi方法对F c进行了优化。根据操作变量及其水平,选择L 16(4 4)正交阵列进行实验。分别使用信噪比(S / N)和方差分析(ANOVA)来确定最佳切割条件和重要的操作变量。还使用回归分析基于操作变量对F c进行了建模。然后使用各种统计方法验证开发的模型。结果表明,通过Taguchi方法可以精确地优化圆形金刚石锯片的工作变量,以用于岩石锯切中的F c。统计地确定切削深度和圆周速度是影响F c的重要操作变量。此外,建模结果表明,所提出的模型可以有效地用于实际应用中的FC预测。

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