International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Effect of Die Sinking Process Parameters on Surface Roughness of D2 Steel using Taguchi's Method

Authors: Varinder Khurana, Harsimran Singh Sodhi, Amarjeet Singh Sandhu

DOI: 10.17605/OSF.IO/3FSMVShort DOI: ggngtd

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Abstract: Electrical discharge machining (EDM) is widely used process in the production of mould / dies, aerospace, automobile and electronics industries where intricate complex shapes need to be machined in very hard materials. [23] This paper presents investigation and optimization of Electric Discharge Machining (EDM) parameters using Taguchi method. Four process parameters chosen were Discharge current (or pulse current), Voltage (V), Pulse on-time (Ton), Pulse off-time and An L 25 orthogonal array was selected to study the effect of main factors and interaction between factors on the response variable i.e. surface roughness. Signal to Noise (S/N) ratios of the response variable for all experiments were calculated. The contribution of the main factors and interaction between them to the optimal surface roughness were determined by using Analysis of Variance (ANOVA). The experimental results revealed that discharge current 4A, voltage 3V, pulse off time 225μs and pulse on time 104μs A yielded the optimal i.e. minimum surface roughness. Electronic Electra plus PS 50 EDM machine was used for this experiment. Experimental results confirm that this approach is simple, effective and efficient for simultaneous optimization of multiple quality characteristics i.e. MRR and surface finish in EDM.

Keywords: Electrical Discharge Machine, Orthogonal Array, D2 Steel, Surface Roughness, Taguchi's Method, Anova


Paper Id: 33

Published On: 2014-11-09

Published In: Volume 2, Issue 6, November-December 2014

Cite This: Effect of Die Sinking Process Parameters on Surface Roughness of D2 Steel using Taguchi's Method - Varinder Khurana, Harsimran Singh Sodhi, Amarjeet Singh Sandhu - IJIRMPS Volume 2, Issue 6, November-December 2014. DOI 10.17605/OSF.IO/3FSMV

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