Optimization of Process Parameters during EDM of Stainless Steel 304 using Taguchi Method

A review on optimization of machining performances and recent developments in electro discharge machining

“…On the contrary, in a recent study, the MRR is directly proportional to increase in peak current, spark energy, and pulse on-time that lead to transfer more energy to electrode. An improvement of peak current with spark energy increases TWR [54]. During machining, workpiece removal rate (WRR) and TWR were increased with the increasing discharge current.…”

Prediction of Machining Characteristics and Machining Performance for Grade 2 Titanium Material in a Wire Electric Discharge Machine Using Group Method of Data Handling and Artificial Neural Network

“…The measurement of the electrode diameter was conducted prior to machining, while periodic measurements of electrode wear were undertaken to monitor the electrode's condition. Figure 4a transport this energy into the electrodes rises as the Pon increases, resulting in increased wear [20]. This spark energy also generates cracks in the material, which enhances the signal ratio as detected by the AE sensors.…”

“…It was also noted that the most influential parameters for the EW and AE signals were also Pon and C. Since as the current increases causes increase in spark energy resulting in higher wear. Further spark energy and the time required to transport this energy into the electrodes rises as the Pon increases, resulting in increased wear [20]. This spark energy also generates cracks in the material, which enhances the signal ratio as detected by the AE sensors.…”