Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 500-505 |
| Number of pages | 6 |
| Journal | Journal of Scientific and Industrial Research |
| Volume | 70 |
| Issue number | 7 |
| Publication status | Published - Jul 2011 |
| Externally published | Yes |
Keywords
- Grey relational analysis
- Micro-EDM
- Multiple performance characteristics
- Taguchi method
ASJC Scopus subject areas
- General