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http://hdl.handle.net/2080/3068
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DC Field | Value | Language |
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dc.contributor.author | Priyadarshini, Manisha | - |
dc.contributor.author | Biswas, Chandan Kumar | - |
dc.contributor.author | Chwla, Balbir Singh | - |
dc.date.accessioned | 2018-10-05T10:37:53Z | - |
dc.date.available | 2018-10-05T10:37:53Z | - |
dc.date.issued | 2018-09 | - |
dc.identifier.citation | International Conference on Mechanical Engineering and Allied Science (ICMEAS 2018), Katra, India, 14 - 15 September, 2018 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3068 | - |
dc.description | Copyright of this document belongs to proceedings publisher. | en_US |
dc.description.abstract | AISI 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.subject | Multi objective optimization | en_US |
dc.subject | WEDM parameters | en_US |
dc.subject | Low-carbon mold steel | en_US |
dc.subject | AISI P20 tool steel | en_US |
dc.title | Multi objective optimization of WEDM parameters for low-carbon mold steel | en_US |
dc.type | Presentation | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2018_ICMEAS_CKBiswas_Multi_.pdf | Abstract | 65.13 kB | Adobe PDF | View/Open |
2018_ICMEAS_CKBiswas_Multi.pdf | Presentation | 839.96 kB | Adobe PDF | View/Open |
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