Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3068
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dc.contributor.authorPriyadarshini, Manisha-
dc.contributor.authorBiswas, Chandan Kumar-
dc.contributor.authorChwla, Balbir Singh-
dc.date.accessioned2018-10-05T10:37:53Z-
dc.date.available2018-10-05T10:37:53Z-
dc.date.issued2018-09-
dc.identifier.citationInternational Conference on Mechanical Engineering and Allied Science (ICMEAS 2018), Katra, India, 14 - 15 September, 2018en_US
dc.identifier.urihttp://hdl.handle.net/2080/3068-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractAISI P20 tool steel is widely used for making molds, punches and dies, where Wire Electro Discharge Machine (WEDM) plays an important role by producing intricate shapes and profiles. In this paper, attempts are made to optimize the WEDM responses i.e., kerf width (KW) and material removal rate (MRR) using Grey relational analysis while machining with parameters, i.e., Pulse-on-time (Ton), Pulse-off-time (Toff) and Servo voltage (Sv). The confirmatory test reveals that optimum parametric setting thus found using this multi-objective optimization technique gives better MRR with lesser KW.en_US
dc.subjectMulti objective optimizationen_US
dc.subjectWEDM parametersen_US
dc.subjectLow-carbon mold steelen_US
dc.subjectAISI P20 tool steelen_US
dc.titleMulti objective optimization of WEDM parameters for low-carbon mold steelen_US
dc.typePresentationen_US
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