Multi Criteria Decision Making of Vibration Assisted EDM Process Parameters on Machining Silicon Steel Using Taguchi-DEAR Methodology

In the present scenario, an endeavour is being utilized to associate the low frequency vibrations with electrical discharge machining process for enhancing the process mechanism. The process parameters of such process should be optimized to improve the quality measures. In the present study, Taguchi- Data Envelopment Analysis based Ranking(DEAR) based multi criteria decision making has been proposed to obtain optimal combination process parameters on machining silicon steel in low frequency vibration assisted EDM process. From the experimetal investigations, the optimal process parameters combination has been found was found as I (6A),T-on(50 mu s), T-off(25 mu s) and F (256 Hz) among the chosen parameters in the machining process. The vibration frequency is more dominant factor in ultrasonic vibration assisted EDM process owing to importance in flushing mechanism. The better surface topography has been obtained with higher micro hardness and lower micro cracks over the machined silicon steel under optimal process parameters combination.

Automated summary

In this study, an optimal combination of process parameters for machining silicon steel in low frequency vibration assisted EDM process was obtained using Taguchi-Data Envelopment Analysis based Ranking (DEAR) method. The vibration frequency was found to be the dominant factor in the process, leading to better surface topography and higher micro hardness with lower micro cracks on the machined silicon steel.