Adaptive optimization of cutting parameters in milling industry considering dynamic tool wear in intelligent manufacturing driven by reinforcement learning
Crossref DOI link: https://doi.org/10.1007/s00170-024-13779-2
Published Online: 2024-06-25
Published Print: 2024-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gao, Zhilie
Li, Liang
Text and Data Mining valid from 2024-06-25
Version of Record valid from 2024-06-25
Article History
Accepted: 18 May 2024
First Online: 25 June 2024
Declarations
:
: The authors declare no competing interests.