An experimental investigation on machining parameters of AISI D2 steel using WEDM

  • Vikram Singh
  • Rakesh Bhandari
  • Vinod Kumar Yadav


The performance of the wire electrodischarge machining (WEDM) machining process largely depends upon the selection of the appropriate machining variables. Optimization is one of the techniques used in manufacturing sectors to arrive for the best manufacturing conditions, which are essential for industries toward manufacturing of quality products at lowest cost. As there are many process variables involved in the WEDM machining process, it is difficult to choose a proper combination of these process variables in order to maximize material removal rate and to minimize tool wear and surface roughness. The objective of the this work is to investigate the effects of process variables like pulse on time, pulse off time, peak current, servo voltage, and wire feed on material removal rate (MRR), surface roughness (SR), gap voltage, gap current, and cutting rate in the WEDM machining process. The experiment has been done using Taguchi’s orthogonal array L27 (35). Each experiment was conducted under different conditions of input parameters and statistically evaluated the experimental data by analysis of variance (ANOVA) using MINITAB and Design Expert tools. The present work also aims to develop mathematical models for correlating the inter-relationships of various WEDM machining parameters and performance parameters of machining on AISI D2 steel material using response surface methodology (RSM).The significant machining parameters and the optimal combination levels of machining parameters associated with performance parameters were also drawn. The observed optimal process parameter settings based on composite desirability (61.4 %) are pulse on time 112.66 μs, pulse off time 45 μs, spark gap voltage 46.95 V, wire feed 2 mm/min, peak current of 99.99 A for achieving maximum MRR, gap current, gap voltage, cutting rate, and minimum SR; finally, the results were experimentally verified.


WEDM MRR SR Pulse on time Pulse off time Analysis of variance (ANOVA) Signal-to-noise (S/N) ratio Response surface methodology (RSM) Taguchi’s technique 


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Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  • Vikram Singh
    • 1
  • Rakesh Bhandari
    • 1
  • Vinod Kumar Yadav
    • 2
  1. 1.Sangam UniversityBhilwaraIndia
  2. 2.College of Technology and EngineeringUdaipurIndia

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