Relationship Between Induction Time for Pitting and Pitting Potential for High-Purity Aluminum
- 1 January 2004
- journal article
- Published by The Electrochemical Society in Journal of the Electrochemical Society
- Vol. 151 (6) , B354-B358
- https://doi.org/10.1149/1.1731487
Abstract
The objective of this study was to determine if a distribution of pit induction times (from potentiostatic experiments) could be used to predict a distribution of pitting potentials (from potentiodynamic experiments) for high-purity aluminum. Pit induction times were measured for 99.99 Al in 50 mM NaCl at potentials of −0.35, −0.3, −0.25, and −0.2 V vs. saturated calomel electrode. Analysis of the data showed that the pit germination rate generally was an exponential function of the applied potential; however, a subset of the germination rate data appeared to be mostly potential insensitive. The germination rate behavior was used as an input into a mathematical relationship that provided a prediction of pitting potential distribution. Good general agreement was found between the predicted distribution and an experimentally determined pitting potential distribution, suggesting that the relationships presented here provide a suitable means for quantitatively describing pit germination rate. © 2004 The Electrochemical Society. All rights reserved.Keywords
This publication has 7 references indexed in Scilit:
- A Statistics-Based Approach to Studying Aluminum Pit InitiationJournal of the Electrochemical Society, 2003
- Chloride Ingress into Aluminum Prior to Pitting Corrosion An Investigation by XANES and XPSJournal of the Electrochemical Society, 2000
- A novel approach for the study of the migration of Cl− ions in anodic aluminaCorrosion Science, 1999
- Theoretical Prediction of the Scan Rate Dependencies of the Pitting Potential and the Probability Distribution in the Induction TimeJournal of the Electrochemical Society, 1997
- The migration of Cl− and I− ions in anodic aluminaCorrosion Science, 1995
- The kinetics of pit generation on stainless steelsCorrosion Science, 1988
- Stochastic Theory of Pitting CorrosionCorrosion, 1977