Effect of machining parameters on dimensional deviation in wire electric discharge machining process using pure titanium

This study presents an investigation on wire electric discharge machining (WEDM) of pure titanium (grade-2). An attempt has been made to model the response variable dimensional deviation using the response surface methodology in a WEDM process. The experimental plan is based on Box-Behnken design. Six parameters such as pulse on time, pulse off time, peak current, spark gap voltage, wire feed, and wire tension were varied to investigate the effect on output response. The response has been optimized using the multi-objective optimization through desirability approach. The analysis of variance has been applied to identify the significance of the developed model. The test results confirm the validity and adequacy of the developed response surface methodology model. Finally, the optimum parametric setting is designed for the optimization of process .

[1]  B. Bhattacharyya,et al.  Parametric analysis and optimization of wire electrical discharge machining of γ-titanium aluminide alloy , 2005 .

[2]  T. A. El-Taweel,et al.  Modelling the machining parameters of wire electrical discharge machining of Inconel 601 using RSM , 2005 .

[3]  Bijoy Bhattacharyya,et al.  Parametric optimisation of wire electrical discharge machining of γ titanium aluminide alloy through an artificial neural network model , 2006 .

[4]  Mohammad Nazrul Islam,et al.  An Investigation into Dimensional Accuracy Achievable in Wire-cut Electrical Discharge Machining , 2010 .

[5]  Jatinder Kumar,et al.  An Investigation into Machining Characteristics of Commercially Pure Titanium (Grade-2) Using CNC WEDM , 2012 .

[6]  Biing-Hwa Yan,et al.  Machining characteristics of titanium alloy (Ti–6Al–4V) using a combination process of EDM with USM , 2000 .

[7]  S. Zaborski,et al.  Semi-empirical model of efficiency of wire electrical discharge machining of hard-to-machine materials , 2009 .

[8]  G. Derringer,et al.  Simultaneous Optimization of Several Response Variables , 1980 .

[9]  Z. M. Wang,et al.  Titanium alloys and their machinability—a review , 1997 .

[10]  Amar Patnaik,et al.  Parametric optimization of wire electrical discharge machining (WEDM) process using taguchi method , 2006 .

[11]  M. S. Shunmugam,et al.  Multi-objective optimization of wire-electro discharge machining process by Non-Dominated Sorting Genetic Algorithm , 2005 .

[12]  Kuang-Yuan Kung,et al.  Modeling and Analysis of Machinability Evaluation in the Wire Electrical Discharge Machining (WEDM) Process of Aluminum Oxide-Based Ceramic , 2008 .

[13]  Carl Sommer,et al.  Complete EDM Handbook , 2005 .