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Grey-based Taguchi method for optimisation of multiple characteristics in electrochemical deburring process

机译:基于灰色的Taguchi方法优化电化学去毛刺过程中的多种特性

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摘要

In the present study, a multi-objective optimisation technique, based on Taguchi method in combination with grey relational analysis, has been proposed and adopted in search of an optimal parametric combination during electrochemical deburring (ECD) of die steel. Deburring voltage, gap between tool and burr tip, electrolyte concentration and time are considered as input parameters when the performance characteristics include change in burr height and base material removal are taken into consideration. Taguchi's L16 orthogonal array design is chosen for the experiments. An optimal parameter combination of ECD process is obtained by grey relational grade acquired from grey relational analysis (GRA). Optimal ECD parameters for multiple performance characteristics have been derived by the Taguchi method using grey relational grade as the quality index. Optimal setting has been validated using confirmatory test. Considering these ECD parameters, verification of the improvement in the quality characteristics was made with a confirmation test with respect to the chosen initial or reference parameter setting. The outcomes of these experiments indicate the application feasibility of the proposed optimisation technique for continuous improvement in electrochemical deburring process.
机译:在本研究中,提出了一种基于Taguchi方法并与灰色关联分析相结合的多目标优化技术,以寻找模具电化学去毛刺(ECD)的最佳参数组合。当性能特征包括毛刺高度的变化和基材去除时,去毛刺电压,工具与毛刺尖端之间的间隙,电解液浓度和时间均视为输入参数。实验选用田口的L16正交阵列设计。通过从灰色关联分析(GRA)获得的灰色关联度,得到ECD工艺的最优参数组合。通过Taguchi方法使用灰色关联等级作为质量指标,得出了用于多种性能特征的最佳ECD参数。最佳设置已通过验证测试得到验证。考虑到这些ECD参数,对所选的初始或参考参数设置进行了确认测试,以验证质量特性的改善。这些实验的结果表明了所提出的优化技术在电化学去毛刺过程中不断改进的应用可行性。

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