Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/16498
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dc.contributor.authorVinayak N.N.
dc.contributor.authorGaitonde V.N.
dc.contributor.authorNalavade K.S.
dc.contributor.authorMrityunjay D.
dc.contributor.authorGajanan M.N.
dc.date.accessioned2021-05-05T10:30:39Z-
dc.date.available2021-05-05T10:30:39Z-
dc.date.issued2020
dc.identifier.citationStrojnicky Casopis Vol. 70 , 1 , p. 69 - 80en_US
dc.identifier.urihttps://doi.org/10.2478/scjme-2020-0007
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/16498-
dc.description.abstractNickel Titanium (NiTi) alloys are the class of smart materials classified under shape memory alloys. The traditional machining of these alloys is hard because of various inherent mechanical characteristics of these alloys. Therefore, non-traditional machining process such as wire electro discharge machining (WEDM) has been employed for machining of such alloys. The present study is focused on multi-performance characteristic simultaneous optimization of WEDM process parameters, in which three system control factors, namely, pulse on time (TON), pulse off time (TOFF) and wire feed (WF) are considered for simultaneously maximizing material removal rate (MRR), while minimizing surface roughness (SR) and tool wear rate (TWR). The simultaneous optimization is performed using Taguchi's Quality Loss Function. Analysis of means and analysis of variance have been carried out to identify the significance level of each system control factor. The different levels of settings and the optimized setting have been analysed using scanning electron microscope images for surface morphological studies. The multi-response optimization investigations revealed that TON is the major contributing factor and optimal performance values were obtained at TON of 125μs, TOFF of 25μs and at WF of 4 m/min. © 2020 SjF STU Bratislava.en_US
dc.titleOptimization of wire edm process parameters for medical grade nickel titanium shape memory alloyen_US
dc.typeArticleen_US
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