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Multi-objective optimization in WEDM process of graphene – SiC-magnesium composite through hybrid techniques

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Abstract This paper exhibits a test examination and investigation on the impacts of Wire Electric Discharge Machining (WEDM) parameter on Material removal rate (MRR) and surface roughness (Ra) for the… Click to show full abstract

Abstract This paper exhibits a test examination and investigation on the impacts of Wire Electric Discharge Machining (WEDM) parameter on Material removal rate (MRR) and surface roughness (Ra) for the newly developed Magnesium metal matrix composite. Two material parameters (namely reinforcement wt.%, SiC doping %) and three machining parameters (viz. Pulse-On Time (P-ON), Pulse-Off Time (P-OFF), and Wire Feed Rate (WFD)) have been selected to study their effects on the desired output responses (MRR and Ra). The output response variables like MRR and Ra are then analyzed using Taguchi coupled Grey relation analysis. The general belief in any such investigations is that increase in P-ON increases MRR and the same has been revisited through this exhaustive study. Nevertheless, as increased machining time leads to an increase in the manufacturing cost, a trade-off between MRR and Ra, was successfully made by utilizing a Taguchi coupled Grey relation analysis. This gave the best combination of input parameters.

Keywords: objective optimization; magnesium; wedm process; multi objective; process graphene; optimization wedm

Journal Title: Measurement
Year Published: 2019

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