2016
DOI: 10.1177/0954408915593875
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Modeling the tool wear rate in powder mixed electro-discharge machining of titanium alloys using dimensional analysis of cryogenically treated electrodes and workpiece

Abstract: Three grades of titanium alloy TITAN 15, TITAN 21, and TITAN 31 were machined using powder mixed electric discharge machining to study the effect of cryogenic treatment and its effect on tool wear rate (TWR). Thereafter, an attempt has been made to develop a mathematical model for predicting TWR using dimensional analysis using the outcome of the Taguchi model and thermo-physical properties of tool materials. The model shows the significant role of thermal conductivity on TWR in electric discharge machining of… Show more

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Cited by 40 publications
(16 citation statements)
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“…Adding Manganese powder in dielectric showed the higher effect when compared with Tungsten powder. [11] Bouchmel with graphite powder suspension. Due to the formation of large and shallow craters surface finish was improved.…”
Section: Research Progress In Powder Mixed Electric Discharge Machiningmentioning
confidence: 99%
“…Adding Manganese powder in dielectric showed the higher effect when compared with Tungsten powder. [11] Bouchmel with graphite powder suspension. Due to the formation of large and shallow craters surface finish was improved.…”
Section: Research Progress In Powder Mixed Electric Discharge Machiningmentioning
confidence: 99%
“…Machining with electrical discharges is one of the most widely used advanced machining processes, which plays a significant role in machining of hard, high-strength but electrically conductive materials [1]. Several researches were performed about electrical discharge machining (EDM) process and its modeling to improve the process performance and also to get the numerical relations for online control of EDM process [2].…”
Section: Introductionmentioning
confidence: 99%
“…Bobbili et al [7] did a similar report on wire electric discharge machining of materials used in defense for making arms by dimensional technique identified with MRR and SR. They thought about workpiece material's thermal properties, and machine electrical parameters are key factors to build up the mathematical model for MRR and SR. Kumar et al [8] have created numerical model to foresee TWR utilizing dimensional investigation amid powder-blended EDM of titanium composites. Their discoveries proposed that warm conductivity of example eminently influenced the TWR amid machining of cryogenic-treated workpiece.…”
Section: Introductionmentioning
confidence: 99%