MATEC Web Conf.
Volume 78, 20162nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016)
|Number of page(s)||7|
|Published online||07 October 2016|
Experimental study of surface roughness in Electric Discharge Machining (EDM) based on Grey Relational Analysis
1 Soft Computing Research Group, Faculty of Computing, UTM, Johor, Malaysia
2 Faculty of Mechanical Engineering, UTM, Johor, Malaysia
* Corresponding author: email@example.com
Electric Discharge Machining (EDM) is one of the modern machining which is capable in handling hard and difficult-to-machine material. The successful of EDM basically depends on its performances such as surface roughness (Ra), material removal rate (MRR), electrode wear rate (EWR) and dimensional accuracy (DA). Ra is considered as the most important performance due to it role as a technological quality measurement for a product and also a factor that significantly affects the manufacturing process. This paper presents the experimental study of surface roughness in die sinking EDM using stainless steel SS316L with copper impregnated graphite electrode. The machining experimental is conducted based on the two levels full factorial design of design of experiment (DOE) with five machining parameters which are peak current, servo voltage, servo speed, pulse on time and pulse off time. The results were analyzed using grey relational analysis (GRA) and it was found that pulse on time and servo voltage give the most influence to the Ra value.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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