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Optimization of EDM Parameters for Minimum Surface Roughness during Electric Discharge Machining using Two Level Full Factorial Designs


Author(s):

Sunil Kumar , Yagyavalkya Institute of Technology; Amit Kumar Bansal, SKIT.Jaipur; Suman Anand, SKIT.Jaipur; Chandan Kumar, SKIT.Jaipur; Bhaskar Srivastav, YIT,Jaipur

Keywords:

DOE ,Two Level Full Factorial Design, Surface Roughness (ra),ANOVA

Abstract:

During electric discharge machining the main output parameters are the material removal rate (MRR), tool wear and surface finish. To increase the productivity, it is desirable to obtain the maximum MRR with minimum surface roughness .Therefore the surface roughness is considered to be a measure of the technological quality of a product. Surface roughness is the one of the critical performance parameter that has an appreciable effect on several mechanical properties of machined parts like friction, wear, light reflection, heat transmission, lubrication, electrical conductivity, etc. Hence, achieving the desired surface quality is of great importance for the functional behavior of the mechanical parts. The quality of the machined work piece is greatly influenced by the cutting conditions. In order to produce parts with the desired surface finish using EDM, EDM parameters should be selected properly. During non-traditional machining, it has long been recognized that the machining conditions affect the performance of the operation to a greater extent. These machining conditions should be selected to optimize the economics of machining operations. So it can be achieved by empirical modeling of performance as a function of machining conditions using design of experiments (DOE). The proposed work will be employed for investigation of the effect of EDM parameters on surface roughness and development of surface roughness and MRR prediction models using two level full factorial design.


Other Details:

Manuscript Id :IJSTEV1I11085
Published in :Volume : 1, Issue : 11
Publication Date: 01/06/2015
Page(s): 431-438
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