3D Printing (3DP) is an umbrella term that covers manufacturing technologies and processes that offer a wide spectrum of producing components and parts of a variety of materials. 3DP is bound to revolutionize design, breaking barriers of geopolitical terrains, economic tendencies, and social status of nations. With the inception of new technologies and processes, it becomes a challenging task for the researchers to investigate the effect of process parameters on performance measures (quality and functionality) and their best combination that yields desired results, in terms of quality characteristics. Researchers have established a relationship between process parameters and performance measures and also suggested a suitable combination of input parameters that yield desired results. In this paper, an attempt has been made to present an overview of the recent research that identified the importance of process parameters, their effect, and optimization.
— Parametric optimization of electric discharge machining (EDM) is a challenging task. Many researchers have employed different multi-objective optimization techniques for the same. This work employs multi-response signal-to-noise (MRSN) technique to find the optimum factor/level combination of input parameters. Experiments have been conducted on die-sinking EDM by taking heat treated D2 steel as work piece and copper as tool electrode. Experiments have been designed as per Taguchi’s L36 orthogonal array. Two cases v.i.z. high cutting efficiency and high surface finish have been taken. Analysis of variance (ANOVA) is employed to indicate the level of significance of machining parameters in both the cases. Finally, results have been verified experimentally and a significant improvement in material removal rate and surface roughness is observed.
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