P. Saha, D. Tarafdar, S. K. Pal, P. Saha, A. K. Srivastava and K. Das, “Multi-Objective Optimization in Wire-Electro-Discharge Machining of TiC Reinforced Composite through Neuro-Genetic Technique,” Applied Soft Computing, Vol. 13, No. 4, 2013, pp. 2065-2074.
http://dx.doi.org/10.1016/j.asoc.2012.11.008

has been cited by the following article:

• TITLE: Experimental Investigation of the Effect of Working Parameters on Wire Offset in Wire Electrical Discharge Machining of Hadfield Manganese Steel

  AUTHORS: Ashok Kumar Srivastava, Surjya Kanta Pal, Probir Saha, Karabi Das

  KEYWORDS: Hadfield Manganese Steel; WEDM; Pulse Time; Wire Offset; Average Gap Voltage; Response Surface Methodology

  JOURNAL NAME: Journal of Surface Engineered Materials and Advanced Technology, Vol.3 No.4, October 21, 2013

  ABSTRACT: In this study, a series of tests have been conducted in order to investigate the machinability evaluation of austenitic Hadfield manganese steel in the Wire Electrical Discharge Machine (WEDM). Experimental investigations have been carried out to relate the effect of input machining parameters such as pulse on-time (Ton), pulse off-time (Toff), wire feed (WF), and average gap voltage (V) on the wire offset in WEDM. No analytical approach gives the exact amount of offset required in WEDM and hence experimental study has been undertaken. In this paper, a mathematical model has been developed to model the machinability evaluation through the response surface methodology (RSM) capable of predicting the response parameter as a function of Ton, Toff, WF and V. The samples are tested and their average prediction error has been calculated taking the average of all the individual prediction errors. The result shows that this mathematical model reflects the independent, quadratic and interactive effects of the various machining parameters on cutting speed in WEDM process.