Gutema Endalkachew Mosisa, Gopal Mahesh, Lemu Hirpa Gelgele
Department of Mechanical Engineering, College of Engineering and Technology, Wollega University, Nekemte P.O. Box 395, Ethiopia.
Department of Mechanical and Structural Engineering and Materials Science, Faculty of Science and Technology, University of Stavanger, N-4036 Stavanger, Norway.
Materials (Basel). 2022 Aug 26;15(17):5892. doi: 10.3390/ma15175892.
Because aluminium is a lightweight and low-density material, its alloys, such as Al 6061 alloy, are extensively used in numerous automobile, defense, and aviation components. This study aims to develop a predictive model to investigate the impact of tool nose radius on the CNC turning process of Al 6061 alloy and better recognize the implications of operating machining considering cutting speed, rate of feed, cutting depth, and tool nose radius. The trials were carried out by using the response surface methodology (RSM), with an AlO coated carbide tool as the cutter and an Al 6061 workpiece as the material. A mathematical model of the second-order was created. The analysis of variance (ANOVA) approach was used to analyze the performance characteristics of the turning operation. Individual desirability values from the desirability function analysis for the multi-responses are used to construct a composite desirability value. The ideal parameter levels were determined by using the composite desirability value, and the significant impact of parameters was assessed by using the analysis of variance. The minimum temperature attained at the machining parameters are 98.0 m/min cutting speed, 0.26 mm/rev rate of feed, 0.893 mm cutting depth, and 0.84 mm tool nose radius. The best total desirability value is 23.615 °C, indicating that the experimental results are close to the predicted values.
由于铝是一种轻质且低密度的材料，其合金，如6061铝合金，被广泛应用于众多汽车、国防和航空零部件中。本研究旨在开发一种预测模型，以研究刀尖半径对6061铝合金数控车削加工过程的影响，并更好地认识考虑切削速度、进给率、切削深度和刀尖半径的加工操作的影响。试验采用响应面法（RSM）进行，以AlO涂层硬质合金刀具作为刀具，6061铝合金工件作为材料。建立了二阶数学模型。采用方差分析（ANOVA）方法分析车削操作的性能特征。利用多响应的合意性函数分析中的个体合意性值来构建复合合意性值。通过复合合意性值确定理想参数水平，并通过方差分析评估参数的显著影响。在加工参数下达到的最低温度为切削速度98.0 m/min、进给率0.26 mm/rev、切削深度0.893 mm和刀尖半径0.84 mm。最佳总合意性值为23.615℃，表明实验结果与预测值接近。
