Cargando…
A Comparative Investigation of Machine Learning Algorithms for Pore-Influenced Fatigue Life Prediction of Additively Manufactured Inconel 718 Based on a Small Dataset
Fatigue life prediction of Inconel 718 fabricated by laser powder bed fusion was investigated using a miniature specimen tests method and machine learning algorithms. A small dataset-based machine learning framework integrating thirteen kinds of algorithms was constructed to predict the pore-influen...
Autores principales: | Hu, Bing-Li, Luo, Yan-Wen, Zhang, Bin, Zhang, Guang-Ping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574268/ https://www.ncbi.nlm.nih.gov/pubmed/37834743 http://dx.doi.org/10.3390/ma16196606 |
Ejemplares similares
-
Impact of Notches on Additively Manufactured Inconel 718 Tensile Performance
por: Johnson, Joseph, et al.
Publicado: (2023) -
Investigation into the Microstructure and Hardness of Additively Manufactured (3D-Printed) Inconel 718 Alloy
por: Kurdi, Abdulaziz, et al.
Publicado: (2023) -
In Envelope Additive/Subtractive Manufacturing and Thermal Post-Processing of Inconel 718
por: Atabay, Sila Ece, et al.
Publicado: (2022) -
High temperature performance of wire-arc additive manufactured Inconel 718
por: James, William Sean, et al.
Publicado: (2023) -
Thermomechanical Process Simulation and Experimental Verification for Laser Additive Manufacturing of Inconel(®)718
por: Zafar, Muhammad Qasim, et al.
Publicado: (2023)