Multi Response Optimization of Electrical Discharge Machining Process Parameters Using Sintered Copper Electrode

Article Preview

Abstract:

In this study, input parameters of Electrical Discharge machining (EDM) process have been optimised for two different materials EN-8 and Die steel-D3 were machined by using sintered copper electrode. Analysis of variance (ANOVA) was applied to study the influences of process parameters viz: - peak current, pulse on time, di-electric pressure and diameter of electrode on material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR) for both materials. Response surface methodology (RSM) has been applied to optimise the multi responses in order to get maximum MRR, minimum TWR and minimum SR. Furthermore, mathematical model has been formulated to estimate the corresponding output responses for both work pieces. It has been observed that compared to EN 8 material, the MRR value is low and TWR is high for D3 material. However the SR value is marginally lower than obtained in EN8.R2 value is above 0.90 for both work pieces.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 622-623)

Pages:

19-24

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P. K. Mishra: Non-conventional machining, The Institution of Engineers (India), Narosa Pub.

Google Scholar

[2] D.C. Montgomery: Design and Analysis of Experiments.

Google Scholar

[3] M. Joseph Davidson, K. Balasubramanian, G.R. N Tagore: Surface roughness prediction of flow- formed AA6061 alloy by design of experiments. Journal of Materials Processing Technology 202(2008) 41-42.

DOI: 10.1016/j.jmatprotec.2007.08.065

Google Scholar

[4] T.A. El-Taweel: multi response optimization of EDM with Al-cu-si-Tic p/m composite electrode. Int.J. Adv. manf. Technology (2009) 44: 100-113.

DOI: 10.1007/s00170-008-1825-6

Google Scholar

[5] K. Kansal, Sehijpal Singh and P. kumar: Parametric Optimization Of Powder Mixed Electrical Dicharge Machining by response surface methodology. Journal Of Materials processing Technology (2005) 427-436.

DOI: 10.1016/j.jmatprotec.2005.03.028

Google Scholar

[6] R. Ramakrishnan, L. Karunamoorthy: modelling and Multi response optimization of Inconel 718 on Machining of CNC WEDM process, Journal of Materials Processing Tech (2008) 343- 349.

DOI: 10.1016/j.jmatprotec.2008.06.040

Google Scholar

[7] Sameh s. Habib: Study of parameters in EDM through RSM approach, Applied Mathematical Modelling (2009) 4397-4407.

Google Scholar

[8] A.A. Khan: Electrode wear and material removal rate during EDM of Aluminium and Mild steel using Copper and Brass electrodes, Int.J. Adv. Manuf. Technology (2008) 482-487.

DOI: 10.1007/s00170-007-1241-3

Google Scholar

[9] Jose Duarte Marafona, Arlindo Araujo: Influence of work piece hardness on EDM performance, International Journal of Machine Tools and Manufacture (2009) 744-748.

DOI: 10.1016/j.ijmachtools.2009.03.002

Google Scholar

[10] S. Gopalakannan, T. senthilvelan and K. Kalaichelvan: Modeling and Optimization Of EDM Of Al 7075/10wt%Al2o3 Metal Matrix Composites By Response surface methodAdvance Material Research (2012). volume 488 – 489, pp.856-860.

DOI: 10.4028/www.scientific.net/amr.488-489.856

Google Scholar