Effect of different environmental parameters on pitting behavior of AISI type 316L stainless steel: Experimental studies and neural network modeling

Materials & Design - Tập 30 - Trang 3770-3775 - 2009
K.V.S. Ramana1,2, T. Anita3, Sumantra Mandal3, S. Kaliappan2, H. Shaikh3, P.V. Sivaprasad3, R.K. Dayal3, H.S. Khatak3
1RMD Engineering College, Chennai 601 206, India
2Centre for Environmental Studies, Anna University, Chennai 600 025, India
3Metallurgy and Materials Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, TamilNadu 603 102, India

Tài liệu tham khảo

Shaikh, 2000, Stress corrosion crack growth studies on nitrogen added AISI type 316 stainless steel and its weld metal in boiling acidified sodium chloride solution using the fracture mechanics approach, Werkst Korros, 51, 719, 10.1002/1521-4176(200010)51:10<719::AID-MACO719>3.0.CO;2-3 Shaikh, 1998, Fabrication strain rate-stress corrosion property correlations of thermomechanically treated 15Cr–15Ni–2.2Mo titanium modified austenitic stainless steel, Mater Sci Technol, 14, 1175, 10.1179/mst.1998.14.11.1175 Shaikh, 2006, Use of eddy current testing method in detection and evaluation of sensitization and intergranular corrosion in austenitic stainless steels, Corros Sci, 48, 1462, 10.1016/j.corsci.2005.05.017 Trethewey, 2008, Some observations on the current status in the understanding of stress-corrosion cracking of stainless steels, Mater Design, 29, 501, 10.1016/j.matdes.2007.02.001 Shaikh, 1991, Failure analysis of an AM 350 steel bellows, Practical Metall, 28, 143, 10.1515/pm-1991-280307 Vinoy, 1997, Metallurgical failure analysis of a failed containment building door bellows of a nuclear reactor, Practical Metall, 34, 527, 10.1515/pm-1997-341008 Sedriks, 1986, Effects of alloy composition and microstructure on the passivity of stainless steels, Corrosion, 42, 376, 10.5006/1.3584918 Sha, 2007, The use of artificial neural networks in materials science based research, Mater Design, 28, 1747, 10.1016/j.matdes.2007.02.009 Yilmaz, 2007, The prediction of mechanical behavior for steel wires and cord materials using neural networks, Mater Design, 28, 599, 10.1016/j.matdes.2005.07.016 Guo, 2005, Modelling beta transus temperature of titanium alloys using artificial neural network, Comput Mater Sci, 32, 1, 10.1016/j.commatsci.2004.05.004 Cottis, 1999, Neural network methods for corrosion data reduction, Mater Design, 20, 169, 10.1016/S0261-3069(99)00026-6 Smets, 1992, Deriving corrosion knowledge from case histories: the neural network approach, Mater Design, 13, 149, 10.1016/0261-3069(92)90224-6 Malinov, 2004, Application of artificial neural networks for modeling correlations in titanium alloys, Mater Sci Eng A, 365, 202, 10.1016/j.msea.2003.09.029 Parthiban, 2005, Neural network analysis for corrosion of steel in concrete, Corros Sci, 47, 625, 10.1016/j.corsci.2004.08.011 Haykin, 1999 Mandal, 2006, Constitutive flow behaviour of austenitic stainless steels under hot deformation: artificial neural network modelling to understand, evaluate and predict, Modell Simul Mater Sci Eng, 14, 1053, 10.1088/0965-0393/14/6/012 Mandal, 2007, Capability of a feed-forward artificial neural network to predict the constitutive flow behavior of as cast 304 stainless steel under hot deformation, J Eng Mater Technol, 129, 242, 10.1115/1.2400276 Mandal, 2009, Artificial neural network modeling to evaluate and predict the deformation behavior of stainless steel type AISI 304L during hot torsion, Appl Soft Comput, 9, 237, 10.1016/j.asoc.2008.03.016 Reidmiller M, Braun H. Proceedings of the international conference in neural, networks, San Francisco, CA, 1993. p. 586. Abd El Meguid, 1994, Pitting corrosion behaviour of type SUS904L and SUS316L stainless steels in chloride solutions, Mater Trans Jpn Inst Met, 35, 699 Malik, 1992, The influence of pH and chloride concentration on the corrosion behaviour of AISI 316L steel in aqueous solutions, Corros Sci, 33, 1809, 10.1016/0010-938X(92)90011-Q Leckie, 1966, Environmental factors affecting the critical potential for pitting in 18–8 stainless steel, J Electrochem Soc, 113, 1262, 10.1149/1.2423801 Ruijin, 1989, Pitting corrosion behaviour of UNS N08904 stainless steel in a chloride/sulfate solution, Corrosion, 45, 874, 10.5006/1.3584995 Wang, 1988, Corrosion, 44, 732, 10.5006/1.3584938 Hoar, 1965, The relationships between anodic passivity, brightening and pitting, Corros Sci, 5, 279, 10.1016/S0010-938X(65)90614-1 Laycock, 1998, Temperature dependence of pitting potentials for austenitic stainless steels above their critical pitting temperature, Corros Sci, 40, 887, 10.1016/S0010-938X(98)00020-1 Bogaerts W, Van Haute A, Brabers MJ, Proceedings of the 8th international congress on metallic corrosion, vol. 1, Mainz, West Germany, 1981. p. 31. Manning, 1980, The effect of temperature (25–289°C) on pit initiation in single phase and duplex 304L stainless steels in 100ppm Cl− solution, Corros Sci, 20, 597, 10.1016/0010-938X(80)90074-8 Bianchi G, Cerquetti A, Mazza F, Torchio S. International conference on localized corrosion, Stachle RW, Brown BF, Kruger J, Agrawal A, editors, NACE, Houston TX, 1974. p. 399. Hornik, 1989, Multilayer feed forward networks are universal approximators, Neural Netw, 2, 359, 10.1016/0893-6080(89)90020-8