Optimization of Electrical Discharge Machining of Titanium Alloy (Ti6Al4V) by Grey Relational Analysis Based Firefly Algorithm
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-319-91713-9_2
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3. Sahu, A.K., Mohanty, P.P., Sahoo S.K.: Electro discharge machining of Ti-alloy (Ti6Al4V) and 316L Stainless Steel and Optimization of process parameters by Grey relational analysis (GRA) method, In: Wimpenny D.I.et al (eds.) Advances in 3D Printing & Additive Manufacturing Technologies, pp. 65–78. Springer Science+Business Media Singapore (2017)
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1. Performance analysis of EDM electrode manufactured by direct metal laser sintering during machining of titanium alloy (Ti6Al4V);Machining Science and Technology;2022-09-03
2. A hybrid Grey-TOPSIS based quantum behaved particle swarm optimization for selection of electrode material to machine Ti6Al4V by electro-discharge machining;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2022-04-17
3. Optimization of process parameters for turning of titanium alloy (Grade II) in MQL environment using multi-CI algorithm;SN Applied Sciences;2021-01-27
4. Optimization of process parameters based on RSM and GRA method for machining of Inconel-600 by electric discharge machining;Materials Today: Proceedings;2021
5. Genetic evolutionary approach for surface roughness prediction of laser sintered Ti–6Al–4V in EDM;Zeitschrift für Naturforschung A;2020-12-17
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