A Novel Approach to the Holistic 3D Characterization of Weld Seams—Paving the Way for Deep Learning-Based Process Monitoring
In an industrial environment, the quality assurance of weld seams requires extensive efforts. The most commonly used methods for that are expensive and time-consuming destructive tests, since quality assurance procedures are difficult to integrate into production processes. Beyond that, available te...
Guardado en:
Autores principales: | Maximilian Schmoeller, Christian Stadter, Michael Karl Kick, Christian Geiger, Michael Friedrich Zaeh |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/26ec7cc25d454188a952830c0e6577b0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Semi-Supervised Training for Positioning of Welding Seams
por: Wenbin Zhang, et al.
Publicado: (2021) -
A review of weldability of carbon steel in arc-based welding processes
por: Oluwasegun S. Odebiyi, et al.
Publicado: (2019) -
FEATURES OF ELECTRODE MELTING IN ARC WELDING OF STEELS
por: V.M. Sydorets, et al.
Publicado: (2013) -
Welding of magnesium and its alloys: an overview of methods and process parameters and their effects on mechanical behaviour and structural integrity of the welds
por: Klenam Desmond Edem Primus, et al.
Publicado: (2021) -
Laser-induction welding of nodular grey cast iron using oscillating beam guidance-microstructural and mechanical characterization
por: N. Sommer, et al.
Publicado: (2022)