American Journal of Mechanical Engineering
ISSN (Print): 2328-4102 ISSN (Online): 2328-4110 Website: http://www.sciepub.com/journal/ajme Editor-in-chief: Kambiz Ebrahimi, Dr. SRINIVASA VENKATESHAPPA CHIKKOL
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American Journal of Mechanical Engineering. 2013, 1(6), 155-160
DOI: 10.12691/ajme-1-6-2
Open AccessArticle

Development of RSM Model in Surface Modification of EN-31 Die Steel Material Using Copper-Tungsten Powder Metallurgy Semi-Sintered Electrodes by EDM Process

H. S. Sidhu1, , S. S. Banwait2 and S. C. Laroiya2

1Department of Mechanical Engineering, SBAS Government Polytechnic College, Badbar, India

2Department of Mechanical Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India

Pub. Date: November 29, 2013

Cite this paper:
H. S. Sidhu, S. S. Banwait and S. C. Laroiya. Development of RSM Model in Surface Modification of EN-31 Die Steel Material Using Copper-Tungsten Powder Metallurgy Semi-Sintered Electrodes by EDM Process. American Journal of Mechanical Engineering. 2013; 1(6):155-160. doi: 10.12691/ajme-1-6-2

Abstract

Electrical discharge machining is a well-established non-traditional machining process and it has been used extensively in tool and die making industry to machine complicated contours in electrically conductive hard materials. Surface modification by using metal powder mixed in dielectric fluid or by using reverse polarity semi-sintered/sintered powder metallurgy tool electrode is an uncommon aspect of electrical discharge machining process. In present work attempts have been made to model the surface modification phenomenon by electrical discharge machining process with response surface methodology technique. Two output response parameters, surface deposition rate and surface roughness has been correlated with four input variables, peak discharge current, pulse-on time, pulse-off time, powder compaction pressure and results obtained have been discussed. Design of experiment techniques, response surface methodology and analysis of variance were carried out to model the pertinent process parameters. The average prediction errors of the developed models confirms very well with the experimental values.

Keywords:
electrical discharge machining response surface methodology design of experiments analysis of variance surface deposition rate surface roughness

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