OBRABOTKAMETALLOV Vol. 26 No. 1 2024 193 MATERIAL SCIENCE 34. Karthik Pandiyan G., Prabaharan T., Jafrey Daniel James D., Sivalingam V. Machinability analysis and optimization of electrical discharge machining in AA6061-T6/15wt.% SiC composite by the multi-criteria decision-making approach. Journal of Materials Engineering and Performance, 2022, vol. 31 (5), pp. 3741–3752. DOI: 10.1007/s11665-021-06511-8. 35. Sawant D.A., Jatti V.S., Mishra A., Sefene E.M., Jatti A.V. Surface roughness and surface crack length prediction using supervised machine learning–based approach of electrical discharge machining of deep cryogenically treated NiTi, NiCu, and BeCu alloys. International Journal of Advanced Manufacturing Technology, 2023, vol. 128, pp. 5595–5612. DOI: 10.1007/s00170-023-12269-1. Confl icts of Interest The authors declare no confl ict of interest. © 2024 The Authors. Published by Novosibirsk State Technical University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0).
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