Neural network prediction of flow stress of Ti-15-3 alloy under hot compression

Journal of Materials Processing Technology

Volumn 148, Issue 2, 2004, Pages 235-238

  Ping, Li ^a   Kemin, Xue ^b   Yan, Lu ^b   Jianrong, Tan ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Artificial neural network; High temperature flow characteristics; Ti 15 3 alloy

Indexed keywords

BACKPROPAGATION; COMPRESSION TESTING; COMPUTER SIMULATION; CONFORMAL MAPPING; DEFORMATION; FINITE ELEMENT METHOD; FORGING; HEAT TREATMENT; HOT PRESSING; MATHEMATICAL MODELS; MECHANICAL ENGINEERING; METALLURGY; NEURAL NETWORKS; PLASTIC FLOW; STRAIN HARDENING; STRAIN RATE;

HIGH TEMPERATURE FLOW CHARACTERISTICS; MOMENTUM PARAMETERS; SOFTENING PHENOMENA; TI-15-3 ALLOY;

TITANIUM ALLOYS;

EID: 2342514223     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2003.07.013     Document Type: Article

References (5)

1. Chen Yu.-W. Titanium alloy and its application in aerospace industries. Rare Metal. 7:1996;297-300.
2. Takuda H., Fujimoto H., Hatta N. Modeling on flow stress of Mg-Al-Z n alloys at elevated temperature. J. Mater. Process. Technol.80-81:1998;513-516.
3. Lee W.-S., Lin C.-F. High-temperature deformation behavior of Ti6Al4V alloy evaluated by high strain-rate compression tests. J. Mater. Process. Technol. 75:1998;127-136.
4. Lee W.-S., Lam H.-F. The deformation behavior and microstructure evolution of high-strength alloy steel at high rate of strain. J. Mater. Process. Technol. 57:1996;233-240.
5. Liu Z.Y., Wang W.D., Gao W. Prediction of the mechanical properties of hot-rolled C-Mn steels using artificial neural networks. J. Mater. Process. Technol. 57:1996;332-336.