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Parametric optimization of CNC Drilling machine for mild steel using Taguchi design and Single to Noise ratio Analysis

机译:基于Taguchi设计和单噪声比分析的低碳钢数控钻床参数优化

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In this paper the drilling of mild steel with the help of CNC drilling machining operation with tool use high speed steel by applying taguchi methodology has been reported. The signal-to-noise ratio applied to find optimum process parameter for CNC drilling machining .A L9 orthogonal array and analysis of variance(ANOVA) are applied to study the performance characteristics of machining parameter (spindle speed, feed, depth) with consideration of good surface finish as well as high material removal rate(MRR) .Surface finishing is one of the prime requirements of customers of machining parts .Results obtained by taguchi method and signal-to-noise ratio match closely with (ANOVA) and the feed is most effective factor for MRR. And spindle speed is the most effective factor for surface roughness. Multiple regression equation are formulated for estimating predicted value surface roughness and material removal rate
机译:在本文中,已经报道了通过使用塔古奇(Taguchi)方法在使用工具的高速钢的CNC钻孔加工操作的帮助下对低碳钢进行钻孔。信噪比用于找到CNC钻孔加工的最佳工艺参数。L9正交阵列和方差分析(ANOVA)用于研究加工参数(主轴转速,进给量,深度)的性能特征,同时考虑到良好的表面光洁度和高的材料去除率(MRR)。表面光洁度是加工零件客户的主要要求之一。通过taguchi方法获得的结果和信噪比与(ANOVA)紧密匹配,进给为MRR的最有效因素。主轴转速是影响表面粗糙度的最有效因素。制定了多元回归方程以估算预测值的表面粗糙度和材料去除率

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