Developing an intelligent approach based on ANFIS and advanced NSGA-III for improving the turning performance of additively manufactured γ-TiAl alloy
Crossref DOI link: https://doi.org/10.1007/s00170-025-15366-5
Published Online: 2025-03-13
Published Print: 2025-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nasr, Mustafa M. https://orcid.org/0000-0003-4833-2322
Anwar, Saqib
Text and Data Mining valid from 2025-03-13
Version of Record valid from 2025-03-13
Article History
Received: 8 November 2024
Accepted: 4 March 2025
First Online: 13 March 2025
Declarations
:
: The authors declare no competing interests.