Training neural networks for machining applications

Güngör O., ÇAKIR A.

Electronics World, cilt.126, sa.2002, ss.32-36, 2020 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 126 Sayı: 2002
  • Basım Tarihi: 2020
  • Dergi Adı: Electronics World
  • Derginin Tarandığı İndeksler: Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences
  • Sayfa Sayıları: ss.32-36
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Evet

Özet

Machining is one of the most important techniques in modern-day manufacturing, and it continually evolves. One vital raw material category in machining is the nickel-based super-alloy. More recently, nickel-based super-alloys have become more widespread, especially in the aviation sector, industrial gas turbines, space applications, engines, nuclear reactors, submarines, steam production facilities, petrochemical devices, heat-resistant applications, and many more.