Prediction of Tool Life when End Milling of Ti6Al4V Alloy Using Hybrid Learning System
Crossref DOI link: https://doi.org/10.1007/s13369-014-0975-0
Published Online: 2014-04-30
Published Print: 2014-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Al-Zubaidi, Salah
Ghani, Jaharah Abdul
Che Haron, Che Hassan
Text and Data Mining valid from 2014-04-30