Cargando…
Powder Bed Monitoring Using Semantic Image Segmentation to Detect Failures during 3D Metal Printing
Monitoring the metal Additive Manufacturing (AM) process is an important task within the scope of quality assurance. This article presents a method to gain insights into process quality by comparing the actual and target layers. Images of the powder bed were captured and segmented using an Xception–...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181250/ https://www.ncbi.nlm.nih.gov/pubmed/37177389 http://dx.doi.org/10.3390/s23094183 |