Optimization of the EDM parameters on machining Ti-6Al-4V with multiple quality characteristics

Optimization of the EDM parameters on machining Ti-6Al-4V with multiple quality characteristics
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DOI:
10.1007/s00170-009-2208-3
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发表时间:
2010-03-01
影响因子:
3.4
通讯作者:
Hsu, C. Y.
Hsu, C. Y.
中科院分区:
工程技术3区
文献类型:
--
作者:
Kao, J. Y.;Tsao, C. C.;Hsu, C. Y.

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本文采用田口方法和灰色关联分析方法,对Ti-6Al-4V合金的电火花加工工艺参数进行了综合考虑。选择电极磨损率、材料去除率和表面粗糙度等性能指标对加工效果进行评价。本研究选取的工艺参数为放电电流、开路电压、脉冲宽度和占空比。首先在合适的正交表基础上进行实验。然后引入性能特性的归一化实验结果,根据灰色关联分析计算系数和等级。通过实验验证了优化后的工艺参数同时具有较低的电极磨损率、较高的材料去除效率和较好的表面粗糙度。验证实验表明,采用田口法和灰色关联分析,电极磨损率提高了15%,材料去除效率提高了12%,表面粗糙度提高了19%。
In this paper, parameter optimization of the electrical discharge machining process to Ti-6Al-4V alloy considering multiple performance characteristics using the Taguchi method and grey relational analysis is reported. Performance characteristics including the electrode wear ratio, material removal rate and surface roughness are chosen to evaluate the machining effects. The process parameters selected in this study are discharge current, open voltage, pulse duration and duty factor. Experiments based on the appropriate orthogonal array are conducted first. The normalised experimental results of the performance characteristics are then introduced to calculate the coefficient and grades according to grey relational analysis. The optimised process parameters simultaneously leading to a lower electrode wear ratio, higher material removal rate and better surface roughness are then verified through a confirmation experiment. The validation experiments show an improved electrode wear ratio of 15%, material removal rate of 12% and surface roughness of 19% when the Taguchi method and grey relational analysis are used.