Influence of mixed dielectric fluids on material removal performance during electric discharge machining process

Influence of mixed dielectric fluids on material removal performance during electric discharge machining process

•Mixed dielectric fluids such as deionized water, tap water, hydro carbon oil were used.•The electric discharge machining (EDM) experimental investigations were carried out.•Silicon carbide (SiC) powder was mixed to the dielectric fluid.•Gap voltage, powder concentration, size were considered as pri...

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Bibliographic Details
Published in:Materials today : proceedings Vol. 51; pp. 720 - 722
Main Authors: Manikandan, P., Rahul, Vuda, Thirunavukkarasu, M., Senthil Kannan, N., sheikh, Mubeen, Sai Subramaniam, K., Kumar. V, Vinay, Subbiah, Ram
Format: Journal Article
Language:English
Published: Elsevier Ltd 01-01-2022
Subjects:
Dielectric fluid
EDM
Gap voltage
Rene 41 alloy
SiC
Dielectric fluid
Rene 41 alloy
SiC
Gap voltage
EDM
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Summary:•Mixed dielectric fluids such as deionized water, tap water, hydro carbon oil were used.•The electric discharge machining (EDM) experimental investigations were carried out.•Silicon carbide (SiC) powder was mixed to the dielectric fluid.•Gap voltage, powder concentration, size were considered as primary control factors.•The effect of process factors and optimization were analyzed through variance analysis, taguchi approach. The machining performance of hard material using without powder mixed dielectric fluid has less effect on material removal rate. The present investigation enhances the material removal rate (MRR). Chosen for the research work, the mixed dielectric fluids such as deionized water, tap water and hydro carbon oil were used in equal proportions. The electric discharge machining (EDM) experimental investigations were carried out for Rene 41 alloy. The substance properties of Rene 41 were reported. Further increasing of MRR, silicon carbide (SiC) powder was mixed to the dielectric fluid. Gap voltage, powder concentration and size were considered as primary control factors. The effect of process factors and optimization were analyzed through variance analysis and taguchi approach.
ISSN:2214-7853
2214-7853
DOI:10.1016/j.matpr.2021.06.215