Multi-objective optimization of powder-mixed EDM parameters using hybrid Grey-ANFIS artificial intelligence technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12008-022-00866-5.pdf
Reference36 articles.
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2. Kulkarni, A., Sharan, R., Lal, G.K.: An experimental study of discharge mechanism in electrochemical discharge machining. Int. J. Mach. Tools Manuf. 42, 1122–1127 (2002)
3. Mahdavinejad, R.A., Mahdavinejad, A.: ED machining of WC-Co. J. Mater. Process. Technol. 162–163, 637–643 (2005). https://doi.org/10.1016/j.jmatprotec.2005.02.211
4. Sharma, R., Singh, J.: Determination of multi-performance characteristics for powder mixed electric discharge machining of tungsten carbide alloy. Proc. IMechE Part B J. Eng. Manuf. 230(2), 303–312 (2016). https://doi.org/10.1177/0954405414554017
5. Kanagarajan, D., Palani kumar, K., Karthikeyan, R.: Effect of electrical discharge machining on strength and reliability of WC–30%Co composite. Mater. Des. 39, 469–474 (2012). https://doi.org/10.1016/j.matdes.2012.03.016
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