Predicting the Various Responses in EDM of Ti6Al4V Using Deep Neural Network
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59164-8_17
Reference28 articles.
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3. Hasçalık, A., Çaydaş, U.: Electrical discharge machining of titanium alloy (Ti–6Al–4V). Appl. Surf. Sci. 253(22), 9007–9016 (2007)
4. Fonda, P., et al.: A fundamental study on Ti–6Al–4V’s thermal and electrical properties and their relation to EDM productivity. J. Mater. Process. Technol. 202(1–3), 583–589 (2008)
5. Jabbaripour, B., et al.: Investigating the effects of EDM parameters on surface integrity, MRR and TWR in machining of Ti–6Al–4V. Mach. Sci. Technol. 16(3), 419–444 (2012)
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