Experimental and predictive modeling via Taguchi design to investigate surface roughness analysis in EDM with graphite electrodes
Raed R. SHWAISH, Shukry H. AGHDEAB, Asaad A. ABBAS, Waleed AHMED
Abstract. Electrical discharge machining (EDM) is a non-traditional machining process for manufacturing parts with complex geometries or made from hard materials that are very difficult to machine using traditional machining processes. EDM stratifies to the indication of material removal using electric spark erosion. This research aims to clarify the optimal process parameters of EDM (Current, Pulse on time, Pulse off time) on surface roughness of high-speed steel AISI M2 as a work material with graphite as a tool electrode. The various process parameters of machining performance were in three levels: Current (I) [10, 24, and 42 A], Pulse on time (Pon) [100, 150, and 200 µs], Pulse off time (Poff) [4, 12, and 25 µs]. The results of the present work showed that the best surface roughness (Ra) at a current (10 A), pulse on time (100 µs), and pulse off time (25 µs), was (1.67 µm). The higher Ra at a current (42 A), pulse on time (200 µs), and pulse off time (4 µs), was (5.89 µm). The data from Minitab 22 showed that the Taguchi model can accurately predict the machining reactions of the determination coefficient [R-Sq = 99.17 %], adjusted determination coefficient [R-Sq (adj) = 98.93 %]. They predicted the determination coefficient [R-Sq (pred) = 98.50%].
Keywords
Electrical Discharge Machining, Spark Machining, Surface Roughness, Taguchi Analysis Method, Pulse on Time, Pulse off Time
Published online 6/20/2026, 9 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Raed R. SHWAISH, Shukry H. AGHDEAB, Asaad A. ABBAS, Waleed AHMED, Experimental and predictive modeling via Taguchi design to investigate surface roughness analysis in EDM with graphite electrodes, Materials Research Proceedings, Vol. 67, pp 284-292, 2026
DOI: https://doi.org/10.21741/9781644904176-39
The article was published as article 39 of the book Climate Action and Sustainability
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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