| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Materials Aging and Compatibility: Experimental and Computational Approaches to Enable Lifetime Predictions
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| Presentation Title |
High-throughput Creep Characterization for Use in Accelerated Aging Prediction |
| Author(s) |
Samuel B. Inman, Kevin W. Garber, Andrew J. Slezak, Brad L. Boyce |
| On-Site Speaker (Planned) |
Samuel B. Inman |
| Abstract Scope |
Prediction of material lifespan under low-temperature creep conditions is hindered by lack of data stemming from long test timespans. Moreover, the variation in creep mechanisms at low temperatures compared to those observed at high temperatures restricts the effectiveness of accelerated testing techniques. This work presents a novel high-throughput parallel testing methodology for strain, surface roughness, and electrical resistance of additively manufactured stainless steel under static tensile conditions at room temperature. By integrating strain behavior, processing parameters, microstructure, surface morphology, and mechanistic insight, a comprehensive overview of the material state is developed, which, when evaluated using machine learning techniques, may be utilized to predict future creep behavior. Improved predictive techniques can validate the presence of detrimental low-temperature creep behavior and assess the effectiveness of non-destructive multimodal characterization techniques. These techniques can be used to identify indicators and evaluate the extent of such phenomena throughout the material lifespan. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Characterization, Mechanical Properties |