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 μs), T_off (25 μs) 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.

在当前情况下，正在努力使低频振动与放电加工过程相关联以增强处理机制。应优化此类过程的过程参数以改进质量措施。在本研究中，提出了基于Taguchi-基于数据包络分析的Rank（DEAR）的多准则决策方法，以获得在低频振动辅助EDM工艺中加工硅钢的最佳组合工艺参数。通过实验研究，发现最佳工艺参数组合为I（6A），T _on（50μs），T _off（25μs）和F（256 Hz）在加工过程中选择的参数中。由于在冲洗机构中的重要性，振动频率是超声振动辅助电火花加工中的主要因素。在最佳工艺参数组合下，加工出的硅钢具有更高的显微硬度和更低的微裂纹，从而获得了更好的表面形貌。