Machine learning-assisted prediction modeling for anisotropic flexural strength variations in fused filament fabrication of graphene reinforced poly-lactic acid composites-Reference-Cited by-同舟云学术

Machine learning-assisted prediction modeling for anisotropic flexural strength variations in fused filament fabrication of graphene reinforced poly-lactic acid composites

Published:2024-08-26 Issue: Volume: Page:
ISSN:2363-9512
Container-title:Progress in Additive Manufacturing
language:en
Short-container-title:Prog Addit Manuf

Author:

Raj Tapish^ORCID,Tiwary Amrit,Jain Akash^ORCID,Sharma Gaurang Swarup,Vuppuluri Prem Prakash,Sahai Ankit^ORCID,Sharma Rahul Swarup^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40964-024-00768-w.pdf

Reference39 articles.

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4. Silva C, Pais AI, Caldas G et al (2021) Study on 3D printing of gyroid-based structures for superior structural behaviour. Prog Addit Manuf 6:689–703. https://doi.org/10.1007/s40964-021-00191-5

5. Mahesh V (2021) Experimental investigation on the dynamic response of additive manufactured PETG composite beams reinforced with organically modified montmorillonite nanoclay and short carbon fiber. Polym Compos 42:5021–5034. https://doi.org/10.1002/pc.26201