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Optimization of Multiple Response Using Taguchi-WPCA In ST 60 Tool Steel Turning Process With Minimum Quantity Cooling Lubrication (MQCL) Method

机译:使用Taguchi-WPCA在ST 60工具钢车削过程中采用最小量冷却润滑(MQCL)方法优化多重响应

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A research was conducted for the optimization of the turning process st 60 tool steel with multiple performance characteristics based on the orthogonal array with Taguchi-WPCA method. Minimum Quantity Cooling Lubrication (MQCL) metode was applied as a coolant. The experimental studies were conducted under varying the cutting speed, feeding, depth of cut and type of coolant. The optimized multiple performance characteristics were surface roughness, and material removal rate. An orthogonal array, signal-to-noise ratio, grey relational analysis, weighted pricipal component analysis and analysis of variance were employed to study the multiple performance characteristics. Experimental results show that cutting speed gives the highest contribution for minimize of surface roughness and maximize of material removal rate, followed by feeding speed, type of coolant and depth of cut. The minimum of surface roughness and maximize of material removal rat could be obtained by using the values of cutting speed, feeding speed, depth of cut and type of coolant of 172.95 m/minute, 0.053 mm/rev, 0.25 mm, and vegetable oil as a coolant respectively.
机译:基于Taguchi-WPCA方法基于正交阵列对具有多种性能特征的st 60工具钢的车削工艺进行了优化研究。最小数量的冷却润滑(MQCL)方法用作冷却剂。在改变切削速度,进给,切削深度和冷却剂类型的条件下进行了实验研究。优化的多种性能特征是表面粗糙度和材料去除率。利用正交阵列,信噪比,灰色关联分析,加权主成分分析和方差分析来研究多种性能特征。实验结果表明,切削速度对最小化表面粗糙度和最大化材料去除率具有最大的贡献,其次是进给速度,冷却液类型和切削深度。使用切削速度,进给速度,切削深度和冷却剂类型分别为172.95 m / min,0.053 mm / rev,0.25 mm和植物油的值可获得最小的表面粗糙度和最大的材料去除率。分别为冷却液。

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