Optimization of EDM Parameters in Machining AISI D3 Tool Steel by Grey Relational Analysis
This study presents optimization of multiple performance characteristics material removal rate (MRR),surface roughness (Ra),and overcut (OC) of hardened AISI D3 tool steel in electrical discharge machining (EDM) using Taguchi method and Grey relational analysis.Machining process parameters selected were pulse current Ip,pulse-on time Ton,pulse-offtime Toff and gap voltage Vg.Based on ANOVA,pulse current is found to be the most significant factor affecting EDM process.Optimized process parameters simultaneously leading to a higher MRR,lower Ra,and lower OC are then verified through a confirmation experiment.Validation experiment shows an improved MRR,Ra and OC when Taguchi method and grey relationalanalysis were used.
Grey relational analysis EDM Multiple performance characteristics Taguchi method
Othman Belgassim Abdurahman Abu-saada
Mechanical and Industrial Engineering Department Faculty of Engineering, University of Tripoli,Libya Development and Research Center, Tripoli-Libya
国际会议
济南
英文
747-753
2013-05-18（万方平台首次上网日期，不代表论文的发表时间）