Cargando…
Modeling of Friction Phenomena of Ti-6Al-4V Sheets Based on Backward Elimination Regression and Multi-Layer Artificial Neural Networks
This paper presents the application of multi-layer artificial neural networks (ANNs) and backward elimination regression for the prediction of values of the coefficient of friction (COF) of Ti-6Al-4V titanium alloy sheets. The results of the strip drawing test were used as data for the training netw...
Autores principales: | Trzepieciński, Tomasz, Szpunar, Marcin, Kaščák, Ľuboš |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156283/ https://www.ncbi.nlm.nih.gov/pubmed/34063434 http://dx.doi.org/10.3390/ma14102570 |
Ejemplares similares
-
Central Composite Design Optimisation in Single Point Incremental Forming of Truncated Cones from Commercially Pure Titanium Grade 2 Sheet Metals
por: Szpunar, Marcin, et al.
Publicado: (2021) -
Friction Behaviour of 6082-T6 Aluminium Alloy Sheets in a Strip Draw Tribological Test
por: Trzepieciński, Tomasz, et al.
Publicado: (2023) -
Effect of Lubricant Type on the Friction Behaviours and Surface Topography in Metal Forming of Ti-6Al-4V Titanium Alloy Sheets
por: Szpunar, Marcin, et al.
Publicado: (2021) -
Modelling of Friction Phenomena Existed in Drawbead in Sheet Metal Forming
por: Trzepieciński, Tomasz, et al.
Publicado: (2021) -
Investigation of Surface Roughness in Incremental Sheet Forming of Conical Drawpieces from Pure Titanium Sheets
por: Trzepieciński, Tomasz, et al.
Publicado: (2022)