Classification of corrosion defects in NiAl bronze through image analysis

被引:79
作者
Pidaparti, Ramana M. [1 ]
Aghazadeh, Babak Seyed [1 ]
Whitfield, Angela [2 ]
Rao, A. S. [2 ]
Mercier, Gerald P. [2 ]
机构
[1] Virginia Commonwealth Univ, Dept Mech Engn, Richmond, VA 23284 USA
[2] Naval Surface Warfare Ctr, Carderock Div, Dept Alloy Dev & Mech, Bethesda, MD 20817 USA
基金
美国国家科学基金会;
关键词
Nickel; SEM; Modeling Studies; Pitting Corrosion; Acid Corrosion; Corrosion Fatigue; ATMOSPHERIC CORROSION; PREDICTION; INITIATION; STRESSES; EXPOSURE; DAMAGE;
D O I
10.1016/j.corsci.2010.07.017
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Corrosion surface damage in the form of pitting and micro-cracks is observed in many metals. Cracks usually initiate from the pits and grow under cyclic stresses and eventually lead to material failure. An image analysis based on wavelet transforms and fractals was used to study the corrosion morphology of nickel aluminum bronze metal under varying corrosion conditions and applied stresses. Image feature parameters were extracted and analyzed to classify the pits/cracks in the metal samples. The results obtained indicate that classification of pits/cracks is possible with image analysis and may be used for correlating service/failure conditions based on corrosion morphology. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3661 / 3666
页数:6
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