Prediction and optimization of tensile strength of additively manufactured PEEK biopolymer using machine learning techniques-Reference-Cited by-同舟云学术

Prediction and optimization of tensile strength of additively manufactured PEEK biopolymer using machine learning techniques

Published:2024-06-16 Issue:4 Volume:7 Page:4487-4502
ISSN:2520-8160
Container-title:Multiscale and Multidisciplinary Modeling, Experiments and Design
language:en
Short-container-title:Multiscale and Multidiscip. Model. Exp. and Des.

Author:

Borah Jyotisman,Chandrasekaran M.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41939-024-00505-4.pdf

Reference53 articles.

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5. Borah J, Chandrasekaran M, Selvarajan L (2023) Taguchi-based experimental investigation and modeling of 3D-printed PEEK parts as biomedical implants using fused deposition modeling for improving mechanical strength and surface quality. J Mater Eng Perform. https://doi.org/10.1007/s11665-023-09036-4