Optimization of Cutting Parameters in Wirecut EDM of D2 Die Steel Using Gravitational Search Algorithm

Abstract:

Wire cut Electrical Discharge Machining is one of the important manufacturing process which is used to obtain desired shape using electrical discharge (or) by continuous sparking. This paper deals with wire cut EDM of D2 die steel using Zinc coated wire tool. Two conflicting objectives, surface roughness and kerf width, are simultaneously optimized. Experimentation was planned based on Taguchi’s L-9 orthogonal array. All the experiments has been conducted under different machining conditions of gap voltage, pulse ON time, and pulse OFF time. Wire feed, wire speed, resistance, wire tension, dielectric fluid pressure and cutting length are taken as fixed parameters. In this paper Gravitational Search Algorithm (GSA) is employed for optimising surface roughness and kerf width.

• Periodical: Applied Mechanics and Materials (Volumes 592-594)
• Pages: 591-594
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.592-594.591
• Online since: July 2014
• Authors: M. Durairaj, S. Elanthirayan*, K. Aanand, J. Poornachandran
• Keywords: D2 Die Steel, Gravitational Search Algorithm, Kerf Width, Surface Roughness (SR), Taguchi’s L-9 Orthogonal Array, WEDM, Zinc Coated Wire

References

[1] M. Durairaj, S. Gowri, M. H. Gauthamkumar, M. Ashok kumar, and R. Aishwarya, Optimization of Wire Cut Electrical Discharge Machining of Inconel 800 using Grey Relational Analysis, Advanced Materials Research Vol. 576 (2012) pp.552-555.

DOI: 10.4028/www.scientific.net/amr.576.552

[2] Navjot Singh, Parlad Kumar and Khushdeep Goyal, Effect of two different cryogenic treated wires in wire electrical discharge machining of AISI D3 die steel, Journal of Mechanical Engineering, Vol. ME 43, No. 2, December (2013).

DOI: 10.3329/jme.v43i2.17827

[3] M. Durairaj, S. Gowri, D. Sudharsun and N. Swamynathan, Application of Genetic Algorithm in the optimization of cutting parameters in Wirecut EDM using Stainless Steel AISI 304, IJMEMS, 6(2) July-December 2013, pp.123-127.

[4] Esmat Rashedi, Hossein Nezamabadi-pour, Saeid Saryazdi, GSA: A Gravitational Search Algorithm, Information Sciences 179 (2009) 2232–2248.

DOI: 10.1016/j.ins.2009.03.004

[5] Taisir Eldos, Rose Al Qasim, On the Performance of the Gravitational Search Algorithm, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 4, No. 8, (2013).

DOI: 10.14569/ijacsa.2013.040811