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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


Puni tekst: engleski pdf 372 Kb

str. 65-68

preuzimanja: 149

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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

https://hrcak.srce.hr/307418

Datum izdavanja:

1.1.2024.

Posjeta: 351 *