Dynamic Modeling of Weld Bead Geometry Features in Thick Plate GMAW Based on Machine Vision and Learning

Weld bead geometry features (WBGFs) such as the bead width, height, area, and center of gravity are the common factors for weighing welding quality control. The effective modeling of these WBGFs contributes to implementing timely decision making of welding process parameters to improve welding quali...

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Detalles Bibliográficos
Autores principales: He, Yinshui, Li, Daize, Pan, Zengxi, Ma, Guohong, Yu, Lesheng, Yuan, Haitao, Le, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763434/
https://www.ncbi.nlm.nih.gov/pubmed/33322417
http://dx.doi.org/10.3390/s20247104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763434/
https://www.ncbi.nlm.nih.gov/pubmed/33322417
http://dx.doi.org/10.3390/s20247104

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