
Modelling of cutting parameters for Nilo 36 superalloy with machine learning methods and developing an interactive interface
Author(s) -
Gültekin Basmacı,
İsmail Kırbaş,
Mustafa Ay
Publication year - 2021
Publication title -
international advanced researches and engineering journal
Language(s) - English
Resource type - Journals
ISSN - 2618-575X
DOI - 10.35860/iarej.805124
Subject(s) - machinability , superalloy , machining , surface roughness , materials science , aerospace , artificial neural network , mechanical engineering , interface (matter) , taguchi methods , matlab , surface finish , computer science , engineering drawing , machine learning , composite material , metallurgy , engineering , alloy , aerospace engineering , capillary number , capillary action , operating system