2013
DOI: 10.1155/2013/173427
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Investigating the Influence of Process Parameters of ZNC EDM on Machinability of A6061/10% SiC Composite

Abstract: A6061/10% SiC composite has been fabricated by mechanical stir casting process. Fabricated composite has also been characterized through optical microscopy, X-ray diffraction analysis (XRD), scanning electron microscopy analysis (SEM) with energy dispersive X-ray techniques (EDX), and thermogravimetric/differential thermal analysis (TG/DTA). The composite has been experimentally investigated for its machinability usingZ-axis numerically controlled (ZNC) electrodischarge machining (EDM) process. The effects of … Show more

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Cited by 23 publications
(14 citation statements)
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“…The subsequent considered and influencing parameter found to govern the material removal rate of the work material is pulse on duration or pulse on time (Ton). It has also alike trend as perceived for peak current and the material removal rate increase with rise in the level of pulse on time [3,10,11,18,25,31,34,37,43,52,61,62].…”
Section: Materials Removal Rate (Mrr)mentioning
confidence: 95%
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“…The subsequent considered and influencing parameter found to govern the material removal rate of the work material is pulse on duration or pulse on time (Ton). It has also alike trend as perceived for peak current and the material removal rate increase with rise in the level of pulse on time [3,10,11,18,25,31,34,37,43,52,61,62].…”
Section: Materials Removal Rate (Mrr)mentioning
confidence: 95%
“…The researcher proclaimed that voltage is the least determine parameter for material removal rate [10,64,65]. A couple of researchers also deduced that when the value of voltage is increased, the extent of material removal rate in decreased [18,34,64,65].…”
Section: Materials Removal Rate (Mrr)mentioning
confidence: 99%
See 1 more Smart Citation
“…e tool is positioned in the heated coating solution at 80°C as shown in Table 2; for the diamond coating solution, the diamond is added and the solution is kept stirring to prevent the diamond from sinking to the bottom [26][27][28][29].…”
Section: Composite Tool Preparation and Experimental Designmentioning
confidence: 99%
“…Sivasankar S [118] investigated the influence of process parameters (current, voltage, pulse-on-time, pulse-off-time) while machining Al6061/10%SiC MMC and found the results to be in good agreement with other researchers. Singh, Kumar [119] used the artificial neural network (ANN) technique to develop a reliable model in predicting the tool wear rate with the least predictive error. They used graphite powder in the dielectric to reduce the tool wear rate during machining MMCs.…”
Section: Optimization Techniques Used In Edmmentioning
confidence: 99%