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This study utilizes Grey Relational Analysis (GRA) and the Taguchi method to optimize machining parameters in Electrical Discharge Machining (EDM) for SS304 steel, focusing on maximizing Material Removal Rate (MRR) and minimizing Tool Wear Rate (TWR). The optimal conditions identified are a pulse on time of 50 µs, pulse off time of 35 µs, discharge current of 12A, and voltage of 50V, validated through experimentation and Analysis of Variance (ANOVA). The research highlights the effectiveness of combining GR
- Author
- BrijKishoreSingh
- Language
- EN