Effect of  SO 2 and pH on the Anodic Behavior and Pitting Corrosion of Alloy 600

1982 ◽  
Vol 129 (10) ◽  
pp. 2194-2200 ◽  
Author(s):  
Ph. Berge ◽  
V. Jovancicevic ◽  
D. Noel ◽  
P. Saint‐Paul
2005 ◽  
Vol 336 (1) ◽  
pp. 65-72 ◽  
Author(s):  
Yun Soo Lim ◽  
Joung Soo Kim ◽  
Hyuk Sang Kwon

2011 ◽  
Vol 239-242 ◽  
pp. 2537-2540 ◽  
Author(s):  
Yu Chun Li ◽  
Fang Zhang ◽  
Ya Jiang ◽  
Fei Fei Pang ◽  
Fen Fang Deng ◽  
...  

Alloy 600 was studied in NaCl solution for its pitting corrosion behavior in this paper. According to Tafel polarization, impedance analysis, specimen morphological analysis and metal dissolving analysis by AAS, there must be selective de-alloy corrosion happened in localized concentrated environment; corrosion velocity reaches maximum when Cl- concentration was 100mmol/L.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 19-29
Author(s):  
Shuting Ren ◽  
Yong Li ◽  
Bei Yan ◽  
Jinhua Hu ◽  
Ilham Mukriz Zainal Abidin ◽  
...  

Structures of nonmagnetic materials are broadly used in engineering fields such as aerospace, energy, etc. Due to corrosive and hostile environments, they are vulnerable to the Subsurface Pitting Corrosion (SPC) leading to structural failure. Therefore, it is imperative to conduct periodical inspection and comprehensive evaluation of SPC using reliable nondestructive evaluation techniques. Extended from the conventional Pulsed eddy current method (PEC), Gradient-field Pulsed Eddy Current technique (GPEC) has been proposed and found to be advantageous over PEC in terms of enhanced inspection sensitivity and accuracy in evaluation and imaging of subsurface defects in nonmagnetic conductors. In this paper two GPEC probes for uniform field excitation are intensively analyzed and compared. Their capabilities in SPC evaluation and imaging are explored through simulations and experiments. The optimal position for deployment of the magnetic field sensor is determined by scrutinizing the field uniformity and inspection sensitivity to SPC based on finite element simulations. After the optimal probe structure is chosen, quantitative evaluation and imaging of SPC are investigated. Signal/image processing algorithms for SPC evaluation are proposed. Through simulations and experiments, it has been found that the T-shaped probe together with the proposed processing algorithms is advantageous and preferable for profile recognition and depth evaluation of SPC.


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