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Optimization of MRR and Surface Roughness of AIMg3 (AA5754) Alloy in CNC Lathe Machine by Using Taguchi Method

机译:Taguchi法优化AIMg3(AA5754)合金在数控车床中的MRR和表面粗糙度

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摘要

Quality of the product is the major concern in manufacturing industries from customers as well as producers point of view. There are number of factors in the product such as surface condition, height, weight, length, width etc., which may be consider for the measurement of the quality. Surface roughness and Metal Removal Rate (MRR) are the two main outcomes on which numerous researchers have applied different approaches for several years to get optimum results. In this study, Taguchi Method is applied for getting optimum parameters settings for Surface roughness and Metal Removal Rate (MRR) in case of turning AlMg3 (AA5754) in CNC Lathe machine, which is an aluminum alloy having diameter 20 mm and length 100 mm. The three parameters i.e. spindle speed, feed rate and depth of cut with 3 levels are taken as the process variables and the working ranges of these parameters for conducting experiments are selected based on Taguchi's L9 Orthogonal Array (OA) design. To analyze the significant process parameters; main effect plots for data means and for S/N ratio are generated using Minitab statistical software.
机译:从客户和生产者的角度来看,产品质量是制造业的主要关注点。产品中有许多因素,例如表面状况,高度,重量,长度,宽度等,这些因素可能会影响质量的测量。表面粗糙度和金属去除率(MRR)是两个主要成果,许多研究人员多年来一直采用不同的方法来获得最佳结果。在这项研究中,使用Taguchi方法获得了在CNC车床中车削AlMg3(AA5754)时表面粗糙度和金属去除率(MRR)的最佳参数设置的信息,该铝合金是直径20 mm,长度100 mm的铝合金。以Taguchi的L9正交阵列(OA)设计为基础,将三个参数(即主轴速度,进给速度和3个级别的切削深度)作为过程变量,并选择这些参数进行实验的工作范围。分析重要的工艺参数;数据平均值和信噪比的主要影响图是使用Minitab统计软件生成的。

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