Prediction of cutting tool wear during a turning process using artificial intelligence techniques
Crossref DOI link: https://doi.org/10.1007/s00170-020-06144-6
Published Online: 2020-09-29
Published Print: 2020-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Marani, Mohsen
Zeinali, Mohammadjavad
Kouam, Jules
Songmene, Victor
Mechefske, Chris K.
Text and Data Mining valid from 2020-09-29
Version of Record valid from 2020-09-29
Article History
Received: 15 June 2020
Accepted: 22 September 2020
First Online: 29 September 2020