Assessing the efficacy of machine learning models in hydroxyapatite nano-powder assisted electro discharge machining of Ti-6Al-4 V Grade-5 alloy
Crossref DOI link: https://doi.org/10.1007/s12008-024-01886-z
Published Online: 2024-05-15
Published Print: 2025-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Jain, Prince
Joshi, Ayanesh
Joshi, Anand https://orcid.org/0000-0003-1063-2944
Text and Data Mining valid from 2024-05-15
Version of Record valid from 2024-05-15
Article History
Received: 31 October 2023
Accepted: 25 April 2024
First Online: 15 May 2024
Declarations
:
: The authors declare that they have no conflicts of interest regarding the publication of this manuscript.