Experimental Investigation on Material Removal Rate (MRR) and Kerf Width in WEDM by Taguchi Method
Keywords:
WEDM, ANOVA, Taguchi method, Material removal rate, Kerf widthAbstract
This paper presents an effect of different process parameters on material removal rate (MRR) and kerf width in wire electrical discharge machining (WEDM). Die steel AISI D3 is used for experimental purpose due to its good mechanical and tribological properties. In this study, the experiments were designed by Taguchi method using L9 orthogonal array. The process parameters like Pulse on time, pulse off time and wire feed rate were selected as input process parameters to analyze output quality characteristics in terms of material removal rate and kerf width. Analysis of variance (ANOVA) is carried out to demonstrate significant influence of input parameters on quality characteristics. The experimental results reveals that pulse on time is significant factor affects the MRR and kerf width.
References
2. Scott D, Bovina S, Rajurkar K P (1991), Analysis and optimization of parameter combinations in wire electrical discharge machining. Int J Prod Res, 29(11):2189-2207.
3. Miller SF., Shih AJ, Qu, J (2004), Investigation of the spark cycle on material removal rate in wire electrical discharge machining of advanced materials, International Journal of Machine Tools & Manufacture, Vol. 44, pp. 391–400.
4. Haddad M J and Tehrani A F (2008), Investigation of cylindrical wire electrical discharge turning (CWEDT) of AISI D3 tool steel based on statistical analysis, J Mater Process Tech, 198, 77-85.
5. Camuscu N and Aslant E (2005), A comparative study on cutting tool performance in end milling of AISI D3 tool steel, J Mater Process Tech, 170, 121- 1126.
6. Aouici H, Bouchelaghem H, Yallese MA, Elbah M (2014), Machinability investigation in hard turning of AISI D3 cold work steel with ceramic tool using response surface methodology, Int J Adv Manuf Technol, 73, 1775-1788.
7. Siller HR, Vila C, Rodriguez C A, Abellan J V (2009), Study of face milling of hardened AISI D3 steel with a special design of carbide tools, Int J Adv Manuf Technol, 40, 12-25.
8. Tzeng CJ, Yang YK, Hsieh MH, Jeng M C (2011), Optimization of wire electrical discharge machining of pure tungsten using neural network and response surface methodology, Proceedings of Institutions of Mechanical Engineering, Part B: Journal of Engineering Manufacture, 225,841-852.
9. Jangra K, Grover S, Chan T S F, Aggarwal A (2011), Digraph and matrix method to evaluate the machinability of tungsten carbide composite with wire EDM, Int J Adv Manuf Technol , 56, 959-974.
10. Golshan A, Ghodsiyeh D, Izman S (2014), Multiobjective optimization of wire electrical discharge machining process using evolutionary computation method: effect of cutting variation, Proceedings of Institutions of Mechanical Engineering, Part B: Journal of Engineering Manufacture, DoI: 10.1177/0954405414523593.
11. Singh S, Singh I, Dvivedi A (2013), Multi objective optimization in drilling of Al6063/10% SiC metal matrix composite based on grey relational analysis, Proceedings of Institutions of Mechanical Engineering, Part B: Journal of Engineering Manufacture, 227(12),1767-1776.