Multi Objective Optimization of Turning Operation Parameters for Aluminium Alloy Using Grey Relational Analysis Method

Bhanodaya Kiran Babu Nadikudi
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Abstract

In high strength aluminium alloy material turning operation, high material removal and good surface are desirable output characteristics. In this investigation, experiments were conducted according to design of experiments concept with a combination of turning input parameters such as cutting speed, feed rate and depth of cut and also studied the effect of process parameters on multi outputs for machining of Al2024 aluminium alloy. Grey relation analysis was applied to know the robust process parameters. The contribution each parameter was realized with analysis of variance statistical method. The cutting speed is the most influencing parameter with contribution of 62.3% followed by depth of cut with 26.4%, and feed rate with 9.9%.
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利用灰色关系分析法对铝合金车削操作参数进行多目标优化
在高强度铝合金材料车削操作中,高材料去除率和良好的表面是理想的输出特性。在这项研究中,根据实验设计概念,结合切削速度、进给量和切削深度等车削输入参数进行了实验,并研究了加工 Al2024 铝合金时工艺参数对多输出的影响。灰色关系分析用于了解稳健的工艺参数。通过方差分析统计方法了解了各参数的贡献。切削速度是影响最大的参数,占 62.3%,其次是切削深度(26.4%)和进给量(9.9%)。
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