Prediction of Flow Stress in Ti-6Al-4V Alloy with Hydrogen at High Temperature Using Artificial Neural Network

Qing Wang; T. Wu; Dong Li Sun; J. Lai

doi:10.4028/www.scientific.net/MSF.539-543.3696

Paper Titles

Colloidal Photonic Crystals Using Space -An Academic-Industrial Collaboration-
p.3673

Oxidation Effects during High Temperature Deformation of CP Ti Alloy
p.3678

On the Nature of the Growth of Bainitic α plates in Metastable β Ti Alloys
p.3684

Microstructure and Mechanical Properties of an Advanced Niobium Based Ultrahigh Temperature Alloy
p.3690

Prediction of Flow Stress in Ti-6Al-4V Alloy with Hydrogen at High Temperature Using Artificial Neural Network
p.3696

Study on a Damage Tolerant Titanium Alloy
p.3702

Microstructures and Cohesiveness of Alkali- and Heat-Treated Films on a Ti-15Zr-4Nb-4Ta Alloy
p.3706

Characterisation of the Phase Transformations in a Metastable β Titanium Alloy
p.3712

Friction Stir Processing of Cast NiAl Bronze
p.3721

HomeMaterials Science ForumMaterials Science Forum Vols. 539-543Prediction of Flow Stress in Ti-6Al-4V Alloy with...

Prediction of Flow Stress in Ti-6Al-4V Alloy with Hydrogen at High Temperature Using Artificial Neural Network

Abstract:

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Materials Science Forum (Volumes 539-543)

Pages:

3696-3701

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.539-543.3696

Citation:

Cite this paper

Online since:

March 2007

Authors:

Qing Wang, T. Wu, Dong Li Sun, J. Lai

Keywords:

Artificial Neural Network (ANN), Flow Stress of Hot Deformation, Hydrogenation, Ti₆Al₄V Alloy

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] D.L. Sun, Q. Wang, X. Han and Tao Wu: Key Engineering Materials, Vol.297-300(2005),p.1133

Google Scholar

[2] Q. Wang, X. Han, Z.H. Li, T. Wu and D.L. Sun: Materials Forum, Vol.29(2005),p.318

Google Scholar

[3] D.L. Sun, X. Han, Q. Wang, Tao Wu, and Z.H. Li: Aerospace Materials & Technology, Vol.35(3) (2005),p.11

Google Scholar

[4] O.N. Senkov and J.J. Jonas�Metallurgical and Materials Transactions�Vol. 27A (1996),p.1877

Google Scholar

[5] S. Malinov, W. Sha and Z. Guo: Materials Science and Engineering, Vol. 283A(2000),p.1

Google Scholar

[6] I. S. Jalham: Composites Science and Technology, Vol. 63(2003), p.63

Google Scholar

[7] H.C. Qian, B.C. Xia, S.Z. Li and F.G. Wang: Journal of Materials Processing Technology, Vol. 122(2002),p.196

Google Scholar

[8] V. Goel, J.H. Chen: Computers in Industry, Vol. 30(1996),p.87

Google Scholar

[9] J. Kasperkiewicz: Journal of Materials Processing Technology, Vol. 106(2000),p.74

Google Scholar

[10] S. Malinov, W. Sha and J.J. McKeown: Computational Materials Science, Vol. 21(2001),p.375

Google Scholar

[11] S. Malinov, W. Sha and Z. Guo: Materials Science and Engineering. 2000,A283:1

Google Scholar

[12] M.Q.Li, X.M. Liu and A.M. Xiong: Journal of Materials Processing Technology, Vol. Fig. 3 Comparison of predicted and measured flow stress of test data a)0wt%H; b)0.2wt%H; c)0.4wt%H; d)0.8wt%H; e)1.0wt%H 121(2002),p.1 Tel:86-451-86413953 Fax: 86-451-86413922 e-mail: qing_w56@163.com

Google Scholar