Cargando…
Milling Surface Roughness Prediction Based on Physics-Informed Machine Learning
Surface roughness is a key indicator of the quality of mechanical products, which can precisely portray the fatigue strength, wear resistance, surface hardness and other properties of the products. The convergence of current machine-learning-based surface roughness prediction methods to local minima...
Autores principales: | Zeng, Shi, Pi, Dechang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222628/ https://www.ncbi.nlm.nih.gov/pubmed/37430883 http://dx.doi.org/10.3390/s23104969 |
Ejemplares similares
-
Surface Roughness Prediction in Ultra-Precision Milling: An Extreme Learning Machine Method with Data Fusion
por: Shang, Suiyan, et al.
Publicado: (2023) -
Evolutionary Optimization of Machining Parameters Based on Surface Roughness in End Milling of Hot Rolled Steel
por: Abu-Mahfouz, Issam, et al.
Publicado: (2021) -
Response Ant Colony Optimization of End Milling Surface Roughness
por: Kadirgama, K., et al.
Publicado: (2010) -
Experimental Investigation of Surface Roughness in Milling of Duralcan(TM) Composite
por: Wiciak-Pikuła, Martyna, et al.
Publicado: (2021) -
Prediction of surface roughness based on fused features and ISSA-DBN in milling of die steel P20
por: Guo, Miaoxian, et al.
Publicado: (2023)