| About this Abstract |
| Meeting |
MS&T21: Materials Science & Technology
|
| Symposium
|
Computation Assisted Materials Development for Improved Corrosion Resistance
|
| Presentation Title |
Predictive Modeling of Microstructure Induced Variations in the Sensitization Response of 5XXX Aluminum Alloys |
| Author(s) |
Likun Sun, Syeda Noor E Sumaiya, Matthew A. Steiner |
| On-Site Speaker (Planned) |
Likun Sun |
| Abstract Scope |
Predictively modeling intergranular corrosion of sensitized 5XXX aluminum alloy plates has long been impeded by large inter-lot variations observed between nominally identical materials from different suppliers. Recent efforts have shown the kinetics of the grain boundary sensitization process itself are well described by a modified JMAK based impingement model, implying the vast majority of the variations are related to the geometric configuration of networked high-angle grain boundaries available for propagation normal to an exposed surface. Utilizing a graph theory based modeling framework for network connectivity, resiliency and shortest 3D pathway analysis, we will present the first quantitative predictions of a microstructural pathway contribution to the intergranular corrosion response of these materials. Then, through adaptations of the ASTM standard bulk sensitization test and experimental EBSD maps, we will demonstrate the isolated directional intergranular corrosion responses are in close agreement with the predicted contributions of the microstructure based on our model. |