Engineering and Technology Journal

Electrical Discharge Machining process (EDM) is a nontraditional metal removal technique that uses thermal energy to erode the workpiece without generating any physical forces of cutting between the tool and the machining part. It is used to cutting of hard and electrical conductivity materials and product intricate shapes of products. The aim of this work is to study the effect of changing voltage values on electrode wear rate (EWR). The machining parameters includes voltage (V), peak current (Ip), pulse duration (Ton) and finally, pulse interval (Toff). The results show that the EWR was increase with rising in voltage, peak current and pulse duration values but when the pulse interval value rises, the electrode wear rate reduce. The best (EWR) value was (0.093507) mm3/min that obtained at voltage (140) V, Ip (12) A, Ton (400) µs and  Toff (12) µs.

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.

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.