Integration of thermal imaging and neural networks for mechanical strength analysis and fracture prediction in 3D-printed plastic parts

Additive manufacturing demonstrates tremendous progress and is expected to play an important role in the creation of construction materials and final products. Contactless (remote) mechanical testing of the materials and 3D printed parts is a critical limitation since the amount of collected data an...

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Detalles Bibliográficos
Autores principales: Boiko, Daniil A., Korabelnikova, Victoria A., Gordeev, Evgeniy G., Ananikov, Valentine P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142534/
https://www.ncbi.nlm.nih.gov/pubmed/35624225
http://dx.doi.org/10.1038/s41598-022-12503-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142534/
https://www.ncbi.nlm.nih.gov/pubmed/35624225
http://dx.doi.org/10.1038/s41598-022-12503-y

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