Analysis and Multi-objective Optimisation of Surface Modification Phenomenon by EDM Process with Copper-Tungsten Semi-sintered P/M Composite Electrodes

In the present experimentation work, attempts have been made to model, analyse and optimise the surface modification phenomenon in electrical discharge machining process using response surface methodology. The central composite second order rotatable design has been chosen for designing the experiments and response surface methodology was applied for developing the mathematical models. Efforts has been made to correlate the four input process parameters; peak discharge current, pulse-on time, pulse-off time and tool electrode powder compaction pressure with two output responses; surface deposition rate and surface roughness. Results obtained were presented in the form of three dimensional surface plots. Analysis of variance had been performed to check the adequacy of the developed mathematical models as well as significance of each term comprising the models. Statistical software was used to construct the plots to analyse the influence of individual input process parameter on output responses. Composite desirability function approach was used for multi-objective optimisation of the developed models. Optimal parameter combinations for achieving maximum surface deposition rate and minimum surface roughness have been observed and presented in the form of contour plots. The optimal predicted results were experimentally verified, matched well with the predicted results.

[1]  Annett Wechsler,et al.  Response Surfaces Designs And Analyses , 2016 .

[2]  S. Laroiya,et al.  Multi-objective optimisation of electrical discharge machining process using Derringer’s desirability function approach , 2011 .

[3]  Naotake Mohri,et al.  Metal Surface Modification by Electrical Discharge Machining with Composite Electrode , 1993 .

[4]  Pei-Jen Wang,et al.  Comparisons of neural network models on material removal rate in electrical discharge machining , 2001 .

[5]  B. Yan,et al.  Surface modification of SKD 61 during EDM with metal powder in the dielectric , 2001 .

[6]  G. Derringer,et al.  Simultaneous Optimization of Several Response Variables , 1980 .

[7]  C. L. Lin,et al.  Optimisation of the EDM Process Based on the Orthogonal Array with Fuzzy Logic and Grey Relational Analysis Method , .

[8]  B. Yan,et al.  Influence of kerosene and distilled water as dielectrics on the electric discharge machining characteristics of Ti–6A1–4V , 1999 .

[9]  Stephen T. Newman,et al.  State of the art electrical discharge machining (EDM) , 2003 .

[10]  G. Krishna Mohana Rao,et al.  DEVELOPMENT OF HYBRID MODEL AND OPTIMIZATION OF METAL REMOVAL RATE IN ELECTRIC DISCHARGE MACHINING USING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM , 2008 .

[11]  M. Barash,et al.  Experiments with electric spark toughening , 1964 .

[12]  Kamlakar P Rajurkar,et al.  Artificial Neural Network approach in modelling of EDM process , 1992 .

[13]  M. L. Jeswani Dimensional analysis of tool wear in electrical discharge machining , 1979 .

[14]  Surjya K. Pal,et al.  Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II , 2007 .

[15]  Yi Wang,et al.  A hybrid intelligent method for modelling the EDM process , 2003 .

[16]  Quan Ming,et al.  Powder-suspension dielectric fluid for EDM , 1995 .

[17]  Naotake Mohri,et al.  Surface modification of aluminum by electrical discharge alloying , 1994 .

[18]  M. Deaton,et al.  Response Surfaces: Designs and Analyses , 1989 .

[19]  I. Ogata,et al.  Carburizing and decarburizing phenomena in EDM'd surface , 1993 .

[20]  C. L. Lin,et al.  Optimisation of the EDM Process Based on the Orthogonal Array with Fuzzy Logic and Grey Relational Analysis Method , 2002 .

[21]  Biing-Hwa Yan,et al.  Surface modification of Al–Zn–Mg aluminum alloy using the combined process of EDM with USM , 2001 .

[22]  Pei-Jen Wang,et al.  Semi-empirical Model on Work Removal and Tool Wear in Electrical Discharge Machining , 2001 .

[23]  Sachin Maheshwari,et al.  Some investigations into the electric discharge machining of hardened tool steel using different electrode materials , 2004 .

[24]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[25]  A. Erden Effect of Materials on the Mechanism of Electric Discharge Machining (E.D.M.) , 1983 .

[26]  Douglas C. Montgomery,et al.  Modified Desirability Functions for Multiple Response Optimization , 1996 .

[27]  L. Froyen,et al.  Study of the white layer of a surface machined by die sinking electro discharge machining , 1995 .