A novel optimized dielectric fluid electric discharge machine using African buffalo optimization
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/s12008-023-01591-3.pdf
Reference47 articles.
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2. Pain, P., Bose, G.K., Bose, D.: Parametric analysis and optimization of aluminium and SS 204 material using micro-EDM system. Int. J. Interact. Des. Manuf. (2023). https://doi.org/10.1007/s12008-023-01350-4
3. Majumdar, S., Bhoi, N.K., Singh, H.: Graphene nano-powder mixed electric discharge machining of Inconel 625 alloy: optimization of process parameters for material removal rate. Int. J. Interact. Des. Manuf. (2022). https://doi.org/10.1007/s12008-022-00996-w
4. Manoj, I.V., Manjaiah, M., Narendranath, S.: Optimization and prediction of responses using artificial neural network and adaptive neuro-fuzzy interference system during taper profiling on pyromet-680 using wire electric discharge machining. J. Mater. Eng. Perform. 32(3), 993–1005 (2023). https://doi.org/10.1007/s11665-022-07165-w
5. Saha, S.K.: Experimental investigation of the dry electric discharge machining (Dry EDM) process. pp. 208016. M. Tech. Thesis, IIT Kanpur, Kanpur (2008).
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