Keywords : Electrical discharge machining (EDM)
Effect of Voltage on Electrode Wear Rate (EWR) in the Electrical Discharge Machining (EDM) for Stainless Steel AISI 444
Engineering and Technology Journal,
2022, Volume 40, Issue 6, Pages 21-30
DOI:
10.30684/etj.v40i6.2144

Effect of Input Parameters on SR and MRR for Tool Steel AISI L2 By Electric Discharge Machine (EDM)
Engineering and Technology Journal,
2021, Volume 39, Issue 6, Pages 928-935
DOI:
10.30684/etj.v39i6.1849
Electric discharge machine (EDM) or may be call electric spark machine is one of the most important cutting process or manufacturing process because it gives high accurate dimension and can be produced the most complex shape. In this present material removal rate and surface roughness for tool steel AISI L2 studied. The input parametric for this process is current, pulse on time (Ton) and pulse off time (Toff).A full factorial method is used to formulate machine parameters and find the optimal process parameters of an electric spark. The result shows that the Surface roughness increasing with increasing current and pulse on time is increases while no effect by increase in pulse off time. Best surface roughness when using low current and pulse in time. The material removal rate is increasing with increasing in current and pulse on time while decreasing when pulse of time is increased. The experimented and predicted values by using Minilab17 software of this process are approximately equal.
Regression and Statistical Analysis of Process Parameters on Heat Affected Zone in Electrical Discharge Machining of Tool Steel
Engineering and Technology Journal,
2020, Volume 38, Issue 2, Pages 226-231
DOI:
10.30684/etj.v38i2A.304
The presented study has the aim of finding out the relationships between input variables and process parameters that describe mathematical models, also to estimate the impact of independent parameters on the Heat Affected Zone (HAZ). In the presented paper, A2-Tool Steel material is the utilized workpiece material, whereas copper is the electrode material. RSM, which is the abbreviation of Response Surface Methodology, is used for identifying the impact of controllable parameters; such controllable effects consist of pulse current, pulse on time, and pulse off time on HAZ. It has been noticed that model has been developed by RSM adequacy is suitable since the coefficient related to the determination is considered closest to one for HAZ, whereas the highest percentage of error between experimental and predicted data is (-13.829%). From ANOVA, the pulse current has the most significant factor affected on HAZ with 67.219% contribution.