True active surface area as a key indicator of corrosion behavior in additively manufactured 316L stainless steel

被引:3
|
作者
Cho, Seongkoo [1 ]
Buchsbaum, Steven F. [1 ]
Biener, Monika [1 ]
Jones, Justin [1 ]
Melia, Michael A. [2 ]
Stull, Jamie A. [3 ]
Colon-Mercado, Hector R. [4 ]
Dwyer, Jonathan [5 ]
Qiu, S. Roger [1 ]
机构
[1] Lawrence Livermore Natl Lab, 7000 East Ave, Livermore, CA 94550 USA
[2] Sandia Natl Labs, 1515 Eubank Blvd SE, Albuquerque, NM 87123 USA
[3] Los Alamos Natl Lab, POB 1663, Los Alamos, NM 87545 USA
[4] Savannah River Natl Lab, 999-2W, Aiken, SC 29808 USA
[5] Kansas City Natl Secur Campus, 14520 Botts Rd, Kansas City, MO 64147 USA
关键词
True active surface; Additive manufacturing; 316L stainless steel; Surface roughness; Corrosion; PITTING CORROSION; ROUGHNESS; GENERATION; RESISTANCE;
D O I
10.1016/j.matdes.2023.112559
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Laser powder bed fusion (LPBF) additively manufactured (AM) 316L stainless steels (SS) possess much more complex surfaces than their wrought counterparts which affects the corrosion behavior. Surface roughness, a typical metric for assessing corrosion of conventionally manufactured metals, is often ineffective as an independent parameter in characterizing corrosion of the AM metals for their higher surface roughness ranging from 5 to 50 mu m. This study experimentally shows that the true active surface area (ATA) is a proper parameter for quick assessment of localized corrosion response of AM 316L SS. Through the potentiodynamic polarization testing on surrogates under full immersion in 0.6 M NaCl solution, the pitting corrosion susceptibility was evaluated. While no consistent correlation to surface roughness was displayed, the pitting breakdown potential (Ep) showed a clear statistical trend at 1/A0.5TA. In addition, normalization of the polarization resistance with the ATA reveals the corresponding surface roughness did not significantly affect the change in open-circuit corrosion phenomenon. This correlation fits well with a previously reported stochastic pitting model on metal surfaces. The results suggest that the importance of ATA as a predictor for predisposition to corrosion in AM 316L SS extends far beyond what has been established for wrought materials.
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收藏
页数:9
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