Optimization of EDM process for multiple performance characteristics using Taguchi method and Grey relational analysis Jong Hyuk Jung, Won Tae Kwon
The Journal of Mechanical Science and Technology, vol. 24, no. 5, pp.1083-1090, 2010
Abstract : Electrical discharge machining (EDM) is one of the most extensively used non-conventional material removal processes. The Taguchi
method has been utilized to determine the optimal EDM conditions in several industrial fields. The method, however, was designed to
optimize only a single performance characteristic. To remove that limitation, the Grey relational analysis theory has been used to resolve
the complicated interrelationships among the multiple performance characteristics. In the present study, we attempted to find the optimal
machining conditions under which the micro-hole can be formed to a minimum diameter and a maximum aspect ratio. The Taguchi
method was used to determine the relations between machining parameters and process characteristics. It was found that electrode wear
and the entrance and exit clearances had a significant effect on the diameter of the micro-hole when the diameter of the electrode was
identical. Grey relational analysis was used to determine the optimal machining parameters, among which the input voltage and the capacitance
were found to be the most significant. The obtained optimal machining conditions were an input voltage of 60V, a capacitance
of 680pF, a resistance of 500¥Ø, the feed rate of 1.5¥ìm/s and a spindle speed of 1500rpm. Under these conditions, a micro-hole of 40¥ìm
average diameter and 10 aspect ratio could be machined.
Keyword :
Electrical discharge machining (EDM); Taguchi method; Grey relational analysis
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