Quantitative research of multiscale microstructural evolution during creep of 800H alloy assisted by high-throughput characterization and deep learning
The 800H alloy is widely used in critical components in high-temperature gas-cooled reactors (HTGR), where creep acts as one of the primary degradation mechanisms. To ensure the safe operation of HTGR, it is essential to understand the microstructural evolution during creep. Here, we introduced high...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785425012621 |
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| Summary: | The 800H alloy is widely used in critical components in high-temperature gas-cooled reactors (HTGR), where creep acts as one of the primary degradation mechanisms. To ensure the safe operation of HTGR, it is essential to understand the microstructural evolution during creep. Here, we introduced high-throughput scanning electron microscopy and deep learning techniques, integrated with various cross-scale characterization methods, to acquire quantitative microstructural information over large areas of the 800H alloy at different creep stages. By leveraging these quantitative data, we proposed multiscale microstructural evolution patterns and mechanisms during creep. Notably, regarding the intragranular precipitates, we uncovered a novel mechanism in which nano-Ti(C,N) precipitation and dissolution are closely associated with the evolution of dislocation loop debris. This mechanism underscores the critical role of nano-Ti(C,N) in sustaining creep resistance, a phenomenon challenging to capture using conventional characterization methods. This work provides an efficient and accurate approach for analyzing microstructures, which not only facilitates a profound understanding of the microstructural evolution during creep of 800H alloy but also establishes a robust foundation for developing microstructure-based performance prediction models and assessing creep damage. Furthermore, this approach is extendable to other types of damage and materials, demonstrating broad application potential. |
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| ISSN: | 2238-7854 |