Process Parameter Prediction and Modeling of Laser Percussion Drilling by Artificial Neural Networks

Finding process parameters for laser-drilled blind holes often relies on an engineer’s experience and the trial-and-error method. However, determining such parameters should be possible using methodical calculations. Studies have already begun to examine the use of neural networks to improve the eff...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Chau-Shing, Hsiao, Yang-Hung, Chang, Huan-Yu, Chang, Yuan-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028133/
https://www.ncbi.nlm.nih.gov/pubmed/35457834
http://dx.doi.org/10.3390/mi13040529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028133/
https://www.ncbi.nlm.nih.gov/pubmed/35457834
http://dx.doi.org/10.3390/mi13040529

Ejemplares similares