Optimization of micro-EDM with multiple performance characteristics using taguchi method and grey relational analysis

N. Natarajan*, R. M. Arunachalam

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةمراجعة النظراء

45 اقتباسات (Scopus)

ملخص

This study presents optimization of multiple performance characteristics [material removal rate (MRR), tool wear rate (TWR), and overcut (OC)] in micro electrical discharge machining (micro-EDM) using Taguchi method and Grey relational analysis. Machining process parameters selected were pulse-on time, discharge current, and gap voltage. Based on ANOVA, pulse-on time is found the most significant factor, which affects micro-EDM process. Optimized process parameters simultaneously leading to a higher MRR, lower TWR, and lower OC are then verified through a confirmation experiment. Validation experiment shows an improved MRR (12.88%), TWR (14.57%) and OC (6.1%) when Taguchi method and grey relational analysis were used.

اللغة الأصليةEnglish
الصفحات (من إلى)500-505
عدد الصفحات6
دوريةJournal of Scientific and Industrial Research
مستوى الصوت70
رقم الإصدار7
حالة النشرPublished - يوليو 2011

ASJC Scopus subject areas

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