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- W2249952922 abstract "The article presents a method of determining the anisotropic friction model in metal forming using multilayer artificial neural networks based on experimental data obtained from the pin-on-disk tribometer. The experimental results show that the friction coefficient depends on the measured angle from the rolling direction and corresponds to the surface topography. Both the friction and material anisotropic models were implemented into a finite element (FE) model built using the commercial FE-package ABAQUS/Standard. When both the material and friction anisotropy are taken into account in the finite element analysis, this approach gives the most approximate numerical results to real processes." @default.
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- W2249952922 date "2015-09-01" @default.
- W2249952922 modified "2023-09-27" @default.
- W2249952922 title "Finite Element Modeling of Frictional and Material Anisotropy During Forming of Steel Cylindrical Cups" @default.
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- W2249952922 doi "https://doi.org/10.4028/www.scientific.net/amm.789-790.3" @default.
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