TY  - JOUR
T1  - Grey Relational Analysis (GRA) of Electrode Wear Rate in
Die Sinking Electric Discharge Machining
AU - Deris, Ashanira Mat AU - Zain, Azlan Mohd AU - Sallehuddin, Roselina AU - Sharif, Safian AU - Yusuf, Suhaila 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 7
SP  - 1795
EP  - 1799
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.1795.1799
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.1795.1799
KW  - Electric discharge machining
KW  -stainless steel
KW  -grey relational analysis
KW  -copper
KW  -UTM
AB  - Electric Discharge Machining (EDM) is one of the nonconventional machining that are widely used for processing hard and difficult-to-machine materials such as stainless steel and super alloys. This study presents an experimental study of die sinking EDM process using SS316L stainless steel with copper impregnated graphite electrode to investigate the parameters affecting Electrode Wear Rate (EWR). The machining experiment was conducted in order to find the influence of five EDM parameters which are peak current, servo voltage, pulse on time, pulse off time and servo speed on electrode wear rate value. The experimental data was collected and analyzed using Grey Relational Analysis (GRA). Results from GRA indicates that peak current is the most significant parameter to the EWR value.
ER  -