Metalurgija, Vol. 63 No. 1, 2024.
Izvorni znanstveni članak
Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applications
Z. Y. Xuan
; College of Mechanical Engineering, North China University of Science and Technology, Hebei, Tangshan, China
J. L. Miao
; College of Mechanical Engineering, North China University of Science and Technology, Hebei, Tangshan, China
Sažetak
Isothermal constant strain rate compression experiments were carried out on TC20 titanium alloy using a Gleeble- 1500 thermal simulation tester to investigate its high temperature flow behaviour at deformation temperatures of 750 - 900 °C and strain rates of 0,001 - 1 s-1. The results show that the flow stress basically decreases with increasing deformation temperature and increases with increasing strain rate. The correlation coefficients and mean relative errors were 0,998 and 5,06 % respectively, proving that the BP neural network-based intrinsic structure model is effective in predicting the flow stress of the alloy.
Ključne riječi
TC20 titanium alloy; hot compression; stress-strain curve; constitutive model; BP neural networks
Hrčak ID:
307418
URI
Datum izdavanja:
1.1.2024.
Posjeta: 305 *