田口-灰关联法应用于Inconel718微放电铣削参数最佳化

摘要

应用田口-灰关联法对Inconel 718微放电铣削多重质量特性如电极消耗率、材料去除率和扩口量进行最佳化,分析放电电流、脉冲时间、休止时间和极间间隙对加工Inconel 718之电极消耗率、材料去除率和扩口量的影响.实验结果表明,以最佳微放电铣削参数进行加工,其电极消耗率由5.6× 10-9 mm3/min降低到5.2×10-9 mm3/min,材料去除率由0.47× 10 8 mm3/min增加到1.68× 10-8 mm3/min,扩口量由1.27 μm降低到1.19μm.研究结果显示,应用田口-灰关联法,可以改善微放电铣削多重质量特性.%The optimization of micro milling electrical discharge machining (EDM) process parameters of Inconel 718 alloy to achieve multiple performance characteristics such as low electrode wear,high material removal rate and low working gap was investigated by the Grey-Taguchi method.The influences of peak current,pulse on-time,pulse off-time and spark gap on electrode wear (EW),material removal rate (MRR) and working gap (WG) in the micro milling electrical discharge machining of Inconel 718 were analyzed.The experimental results show that the electrode wear decreases from 5.6× 10-9 to 5.2× 10 9 mm3/min,the material removal rate increases from 0.47x 10-8 to 1.68x 10-8 mm3/min,and the working gap decreases from 1.27 to 1.19 μm under optimal micro milling electrical discharge machining process parameters.Hence,it is clearly shown that multiple performance characteristics can be improved by using the Grey-Taguchi method.