2020
DOI: 10.1007/s12046-020-01378-2
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Powder-mixed electro-discharge machining performance of Inconel 718: effect of concentration of multi-walled carbon nanotube added to the dielectric media

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Cited by 35 publications
(15 citation statements)
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“…Finding a solution that will facilitate better MRR while minimizing SR, TWR, and other surface imperfections is very important. To improve machining, one effective method is to add nano-powders to the dielectric fluid in the proper quantity [ 17 , 18 ]. By enhancing spark discharge, the particle’s inclusion in the dielectric fluid lowers the breakdown strength and enhances the igniting mechanism [ 19 ].…”
Section: Introductionmentioning
confidence: 99%
“…Finding a solution that will facilitate better MRR while minimizing SR, TWR, and other surface imperfections is very important. To improve machining, one effective method is to add nano-powders to the dielectric fluid in the proper quantity [ 17 , 18 ]. By enhancing spark discharge, the particle’s inclusion in the dielectric fluid lowers the breakdown strength and enhances the igniting mechanism [ 19 ].…”
Section: Introductionmentioning
confidence: 99%
“…3f, g, 4g, h and 5g, h. This might be due to continuous event of melting, and resolidification with the accumulation of electron density in dielectric medium results in agglomerated WS 2 particles and stick on the deposited surface. Insufficient heat transfer results in a chunk of deposited particles on the surface at higher WS 2 concentrations [21]. The decrease in LT of 32.12 µm was observed at C p = 8 g/L, P on = 90 µs, and V g = 20 V. This was caused by the Lorenz force, which alters the path of the ions and moves debris particles away from the sparking area [22].…”
Section: Resultsmentioning
confidence: 96%
“…This could be because the molten pool heats up to a temperature above the WS 2 dissociation point. This phenomenon causes sulphur to evaporate and tungsten to remain in the deposited layer [15,20,21].…”
Section: Resultsmentioning
confidence: 99%
“…Apart from this, various methods of flushing in EDM for optimization of machining of AISI 5160 where the generated correlation with Non-dominating sorting genetic algorithm (NSGA) found a more accurate prediction for MRR and SR relative to RSM method [31]. Thermophysical properties of nano particles added in the dielectric significantly affect the machining performance as surface characteristics of machined surface [32]. Coated and uncoated electrode material used in the machining process influence the machine performance [33].…”
Section: Introductionmentioning
confidence: 99%