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Optimization of MRR and Surface Roughness of AlMg3 (AA5754) Alloy in CNC Lathe Machine by Using Taguchi Method

机译:使用Taguchi方法优化CNC车床机中Almg3(AA5754)合金的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:产品的质量是客户的主要关注客户以及生产者的观点。产品中有多种因素,如表面状况,高度,重量,长度,宽度等,这可能需要考虑测量质量。表面粗糙度和金属去除率(MRR)是许多研究人员应用不同方法几年以获得最佳结果的两个主要结果。在该研究中,在CNC车床机器中转动ALMG3(AA5754)的情况下,施加用于获得表面粗糙度和金属去除率(MRR)的最佳参数设置,该方法是具有直径为20mm和长度为100mm的铝合金。 3个参数即3级的主轴速度,进料速率和切割深度被视为过程变量,并且基于Taguchi的L9正交阵列(OA)设计来选择用于进行实验的这些参数的工作范围。分析重要的过程参数;使用Minitab统计软件生成数据装置的主要效果图和S / N比。

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