Prediction and optimization of tensile strength of additively manufactured PEEK biopolymer using machine learning techniques
Crossref DOI link: https://doi.org/10.1007/s41939-024-00505-4
Published Online: 2024-06-16
Published Print: 2024-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Borah, Jyotisman
Chandrasekaran, M.
Text and Data Mining valid from 2024-06-16
Version of Record valid from 2024-06-16
Article History
Received: 8 April 2024
Accepted: 4 June 2024
First Online: 16 June 2024
Declarations
:
: The authors declare no competing interests.