Modeling the High Temperature Deformation Constitutive Relationship of TC4-DT Alloy Based on Fuzzy-neural Network
DOI:
Author:
Affiliation:
Clc Number:
Fund Project:
National Natural Science Foundation of China (50824001)
Article
|
Figures
|
Metrics
|
Reference
|
Related
|
Cited by
|
Materials
|
Comments
Abstract:
By analyzing the high temperature TC4-DT titanium alloys’ deformation temperature, strain rate and deformation degree with the parameters of the experimental data flow stress, an adaptive fuzzy-neural network model has been established to predict flow st
Reference
Related
Cited by
Get Citation
[Tang Bo, Tang Bin, Li Jinshan, Zhang Fengshou, Yang Guanjun. Modeling the High Temperature Deformation Constitutive Relationship of TC4-DT Alloy Based on Fuzzy-neural Network[J]. Rare Metal Materials and Engineering,2013,42(7):1347~1351.] DOI:[doi]