Detection and Identification of Defects in 3D-Printed Dielectric Structures via Thermographic Inspection and Deep Neural Networks

In this paper, we propose a new method based on active infrared thermography (IRT) applied to assess the state of 3D-printed structures. The technique utilized here—active IRT—assumes the use of an external energy source to heat the tested material and to create a temperature difference between unda...

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Detalles Bibliográficos
Autores principales: Szymanik, Barbara, Psuj, Grzegorz, Hashemi, Maryam, Lopato, Przemyslaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347505/
https://www.ncbi.nlm.nih.gov/pubmed/34361362
http://dx.doi.org/10.3390/ma14154168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347505/
https://www.ncbi.nlm.nih.gov/pubmed/34361362
http://dx.doi.org/10.3390/ma14154168

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