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

DOI: 10.4236/jsemat.2013.34040   PDF   HTML     3,348 Downloads   5,020 Views   Citations


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.

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Srivastava, A. , Pal, S. , Saha, P. and Das, K. (2013) Experimental Investigation of the Effect of Working Parameters on Wire Offset in Wire Electrical Discharge Machining of Hadfield Manganese Steel. Journal of Surface Engineered Materials and Advanced Technology, 3, 295-302. doi: 10.4236/jsemat.2013.34040.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] B. Lva, M. Zhang, F. C. Zhang, C. L. Zheng, X. Y. Feng, L. H. Qian and X. B. Qin, “Micro-Mechanism of Rolling Contact Fatigue in Hadfield Steel Crossing,” International Journal of Fatigue, Vol. 44, 2012, pp. 273-278.
[2] J. Mendez, M. Ghoreshy, W. B. F. Mackay, T. J. N. Smith and R. W. Smith, “Weldability of Austenitic Manganese Steel,” Journal of Materials Processing Technology, Vol. 153-154, 2004, pp. 596-602.
[3] G. Amitesh and K. Jatinder, “An Investigation into the Machining Characteristics of Nimonic 80a Using CNC Wire-EDM,” International Journal of Advanced Engineering Technology, Vol. III, No. I, 2012, pp. 170-174.
[4] K. H. Ho, S. T. Newman, S. Rahimifard and R. D. Allen, “State of the Art in Wire Electrical Discharge Machining (WEDM),” International Journal of Machine Tools & Manufacture, Vol. 44, No. 12-13, 2004, pp. 1247-1259.
[5] M. S. Phadke, “Quality Engineering Using Robust Design,” Prentic Hall, Englewood Cliffs, 1989.
[6] J. Matsuda, S. Tomishige, K. Tanaka and Ii. Yano, “Evaluation of Performance of WEDM by Parameter Design,” Proceedings of the International Symposium for ElectraMachining, (ISFM-9), Nagoya, 1989, pp. 68-71.
[7] L. Gatto, “Cutting Mechanisms and Surface Features of WEDM Metal Matrix Composite,” Journal of Material Processing Technology, Vol. 65, No. 1-3, 1997, pp. 209-214. http://dx.doi.org/10.1016/S0924-0136(96)02264-9
[8] C. J. Luis Puertas, “A Study on the Machining Parameters Optimization of Electrical Discharge Machining,” Journal of Materials Processing Technology, Vol. 143-144, 2003, pp. 521-526.
[9] Y. Y. S. Liaoa, J. T. Huang and Y. H. Chena, “A Study to Achieve a Fine Surface Finish in Wire-EDM,” Journal of Materials Processing Technology, Vol. 149, No. 1-3, 2004, pp. 165-171.
[10] A. Behrens and M. P. Witzak, “New Arc Detection Technology for Highly Efficient Electro-Discharge Machining,” Draft Paper Dies and Molds, 1997.
[11] G. F. Benedict, “Non-Traditional Manufacturing Processes,” Marcel Dekker, New York, 1987.
[12] 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.
[13] X. J. Li and Y. H. Hu, “Machining Precision Research for Two WEDM Processes,” Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), pp. 2169-2172.
[14] R. H. Myers and D. C. Montgomery, “Response Surface Methodology: Process and Product Optimization Using Designed Experiments,” John Wiley & Sons, New York, 1995.
[15] D. C. Montgomery, “Design and Analysis of Experiments,” John Wiley & Sons, New York, 2001.
[16] G. E. P. Box and N. R. Draper, “Evolutionary Operation: A Statistical Method for Process Management,” John Wiley & Sons, New York, 1969.
[17] W. Chen, J. K. Allen, D. P. Schrage and F. Mistree, “Statistical Experimentation Methods for Achieving Affordable Concurrent Systems Design,” AIAA Journal, Vol. 35, No. 5, 1997, pp. 893-900.
[18] B. A. Wujek and J. E. Renaud, “New Adaptive Move-Limit Management Strategy for Approximate Optimization. Part 1,” AIAA Journal, Vol. 36, No. 10, 1991, pp. 1911-1921. http://dx.doi.org/10.2514/2.285
[19] V. Toropov, F. Van Keulen, V. Markine and H. De Doer, “Refinements in the Multi-Point Approximation Method to Reduce the Effects of Noisy Structural Responses,” Proceedings of the 6th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Vol. 2, AIAA, Bellevue, 1996, pp. 941-951.
[20] N. Alexandrov, J. E. Dennis Jr., R. M. Lewis and V. Torczon, “A Trust Region Framework for Managing the Use of Approximation Models in Optimization,” Structural Optics, Vol. 15, No. 1, 1998, pp. 16-23.
[21] G. G. Wang and T. Simpson, “Fuzzy Clustering-Based Hierarchical Meta Modeling for Design Space Reduction and Optimization,” Engineering Optics, Vol. 36, No. 3, 2004, pp. 313-335.
[22] W. Hu, G. Y. Li and Z. H. Zhong, “Optimization of Sheet Metal Forming Processes by Adaptive Response Surface Based on Intelligent Sampling Method,” Journal of Materials Processing Technology, Vol. 197, No. 1-3, 2008, pp. 77-88.
[23] R. A. Fisher, “Statistical Methods for Research Workers,” Oliver & Boyd, Edinburgh, 1925.

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