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首页> 外文期刊>Transactions of the Indian Institute of Metals >Multi-objective Optimization of FSW Process Parameters of Aluminium Alloy Using Taguchi-Based Grey Relational Analysis
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Multi-objective Optimization of FSW Process Parameters of Aluminium Alloy Using Taguchi-Based Grey Relational Analysis

机译:基于Taguchi的灰色关系分析,铝合金FSW工艺参数的多目标优化

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摘要

The advantages of friction stir welding (FSW) of aluminium alloys have promoted research in the area of FSW of aluminium. The recent developments in FSW are focused on optimisation of process parameters for multi-response characteristics. Experiments were conducted using the tool shoulder diameter, rotational speed, welding speed and the axial load as typical process parameters for multi-objective optimisation in FSW of AA 8011. The grey analysis was adopted to obtain grey relational grade for FSW process with multiple-characteristics, namely, tensile strength, microhardness and power consumption. Analysis of variance was used to study significance of process variables on grey relational grade which showed rotational speed and welding speed to be most significant parameters. Other than rotational speed and welding speed, tool shoulder diameter and axial load were also found to be significant. To validate the study, confirmation experiments were carried out at optimum set of parameters and predicted results were found to be in good agreement with experimental findings.
机译:铝合金摩擦搅拌焊接(FSW)的优点促进了铝的FSW面积的研究。 FSW最近的开发集中于优化多响应特性的过程参数。使用刀具肩部直径,转速,焊接速度和轴向载荷作为AA 8011 FSW的多目标优化的典型工艺参数进行实验。采用灰色分析来获得具有多种特征的FSW过程的灰色关系等级,即拉伸强度,微硬度和功耗。方差分析用于研究过程变量对灰色关系等级的意义,显示出转速和焊接速度的最重要参数。除了转速和焊接速度之外,还发现刀具肩直径和轴向载荷是显着的。为了验证研究,在最佳的参数集中进行确认实验,并发现预测结果与实验结果吻合良好。

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