ABSTRACT
Nowadays, hybrid machining has become a hot cake for both industries as well as for academics due to its capability to fabricate the products in a more proficient and industrious way. In the present work, the material removal rate (MRR) and average surface roughness (ASR) of D2 steel were measured while performing electrical discharge face grinding (EDFG), a hybrid machining process. Taguchi gray relational analysis technique was applied to determine the best combination of process parameters to optimize the process performance. Total 31 experiments were performed based on response surface methodology, and their machining responses were measured. The gray relational grade for each level of the machining parameter was established. The significance of each machining parameter was achieved by analysis of variance based on gray relational analysis. From the evaluated results of the 344confirmatory experiment, an improvement in MRR and ASR by 14.58% and 13.92%, respectively, was perceived.
