Assessment of the effect of existing corrosion on the tensile behaviour of magnesium alloy AZ31 using neural networks

Materials and Design

Volumn 31, Issue 1, 2010, Pages 336-342

  Kappatos, V ^a   Chamos, A N ^a   Pantelakis, Sp G ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

Corrosion damage; Magnesium alloy; Mechanical properties; Neural networks

Indexed keywords

AZ31 MAGNESIUM ALLOY; CONCEPT-BASED; CORROSION CHARACTERIZATION; CORROSION DAMAGE; EXPERIMENTAL INVESTIGATIONS; MAGNESIUM ALLOY AZ31; NEURAL NETWORK MODEL; RADIAL BASIS FUNCTION NEURAL NETWORKS; STRUCTURAL ALLOYS; TENSILE BEHAVIOUR;

ALLOYS; CORROSION; FATIGUE CRACK PROPAGATION; MAGNESIUM; MAGNESIUM ALLOYS; MECHANICAL TESTING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; TENSILE PROPERTIES;

MECHANICAL PROPERTIES;

EID: 69549116589     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2009.06.009     Document Type: Article

References (19)

1. Benavides S. Corrosion in the aerospace industry, corrosion control in the aerospace industry (2009), Woodhead Publishing Limited and CRC Press LLC p. 1-14
2. Simpson D.L., and Brooks C.L. Tailoring the structural integrity process to meet the challenges of aging aircraft. Int J Fatigue 21 (1999) S1-S14
3. Pantelakis Sp.G., and Kermanidis A.T. Effect of corrosion on the mechanical behavior of aircraft aluminum alloys (2009), Corrosion Control in the Aerospace Industry, Woodhead Publishing Limited and CRC Press LLC p. 67-108
4. Calle L.M. Corrosion control in space launch vehicles: corrosion control in the aerospace industry (2009), Woodhead Publishing Limited and CRC Press LLC p. 195-224
5. Petroyiannis P.V., Kermanidis Al.Th., Papanikos P., and Pantelakis Sp.G. Corrosion-induced hydrogen embrittlement of 2024 and 6013 aluminum alloys. Theor Appl Fract Mech 41 (2004) 173-183
6. Kermanidis Al.Th., Petroyiannis P.V., and Pantelakis Sp.G. Fatigue and damage tolerance of corroded 2024 T351 aircraft aluminum alloy. Theor Appl Fract Mech 43 (2005) 121-132
7. Pantelakis SpG, Alexopoulos ND, Chamos AN. Effect of salt spray corrosion on the tensile behaviour of wrought magnesium alloy AZ31. In: 7th International conference on magnesium alloys and their applications, Dresden, Germany; 2006.
8. Apostolopoulos Ch.Alk., Papadopoulos M.P., and Pantelakis Sp.G. Tensile behavior of corroded reinforcing steel bars BSt 500s. Constr Build Mater 20 (2006) 782-789
9. Jones K., Shinde S.R., Clark P.N., and Hoeppner D.W. Effect of prior corrosion on short crack behavior in 2024-T3 aluminum alloy. Corros Sci 50 (2008) 2588-2595
10. Song R.G., Blawert C., Dietzel W., and Atrens A. A study on stress corrosion cracking and hydrogen embrittlement of AZ31 magnesium alloy. Mater Sci Eng A 399 (2005) 308-317
11. Sterzovski Z., Nolan D., Carpenter K.R., Dunne D.P., and Norrish J. Artificial neural networks for modelling the mechanical properties of steels in various applications. J Mater Process Technol 170 (2005) 536-544
12. Kusiak J., and Kuziak R. Modelling of microstructure and mechanical properties of steel using the artificial neural network. J Mater Process Technol 127 (2002) 115-121
13. Bahrami A., Mousavi Anijdan S.H., and Ekrami A. Prediction of mechanical properties of DP steels using neural network model. J Alloys Compd 392 (2005) 177-182
14. Guo Z., and Sha W. Modelling the correlation between processing parameters and properties of maraging steels using artificial neural network. Comput Mater Sci 29 (2004) 12-28
15. Huang C.Z., Zhang L., He L., Sun J., Zou B., Li Z.Q., et al. A study on the prediction of the mechanical properties of a ceramic tool based on an artificial neural network. J Mater Process Technol 129 (2002) 399-402
16. Malinov S., Sha W., and McKeown J.J. Modeling the correlation between processing parameters and properties in titanium alloys using artificial neural network. Comput Mater Sci 21 (2001) 375-394
17. Pleune T., and Chopra O.K. Using artificial neural networks to predict the fatigue life of carbon and low-alloy steels. Nucl Eng Des 197 (2000) 1-12
18. Chamos AN. Mechanical behaviour of advanced aeronautical magnesium alloys. Doctoral Thesis, Department of Mechanical Engineering and Aeronautics, University of Patras, Greece; 2008.
19. Haykin S. Neural networks: a comprehensive foundation. 2nd ed. (1999), Prentice-Hall, New York