| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Materials Informatics for Images and Multi-dimensional Datasets
|
| Presentation Title |
Assessment of the Ability of Laboratory Accelerated Corrosion Tests to Accurately Predict On-road Corrosion of 6xxx Al Alloys |
| Author(s) |
Dadi Zhang, Jayendran Srinivasan, Jenifer Locke |
| On-Site Speaker (Planned) |
Dadi Zhang |
| Abstract Scope |
AA6061-T4 and T6 and AA6022-T4 were exposed to both laboratory accelerated corrosion tests and on-road exposure. The laboratory corrosion test methodologies examined include an immersion test, ASTM G110, and salt spray tests of ASTM B117, ASTM B368 (CASS), ASTM G85-A2 (MASTMAASIS), a cyclically modified version of ASTM B117, and GMW14872. On-road exposure was conducted for up to 2 years on The Ohio State University campus bus system. A combination of pitting and intergranular corrosion was observed on all alloys after on-road exposure and laboratory tests using acidified solutions. The resulting corrosion morphology was quantitatively characterized by fractal analysis using the box-counting method, the ratio of corrosion feature boundary length to the corroded area, and by use of an open-source convolutional neural network (GoogLeNet). It was found that laboratory tests utilizing acidic solutions generally outperformed other tests regarding ability to simulate corrosion morphologies after on-road exposure across all tested alloys. |