About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
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Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
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Presentation Title |
Intelligent Data-guided Process Design for Fatigue-resistant Steel Components with Bainitic Microstructure (iBain) |
Author(s) |
Ingo Steinbach |
On-Site Speaker (Planned) |
Ingo Steinbach |
Abstract Scope |
The fatigue life of martensitic and bainitic steels is heavily influenced by the microstructure, which is in turn highly dependent on the manufacturing process. These microstructures are hierarchically multi-scale and exhibit structural properties down to the nanoscale. As a result, the experimental characterization is already exceedingly complex and heavily dependent on the subjective experience of the experimenter itself. Consequently, these microstructures are ideal case studies for materials integration, including experiments, data-driven techniques, and direct microstructure modelling.
Here, we present:
• A phase-field approach for modelling martensite and bainite microstructure formation.
• A systematic approach to the characterization of microstructures.
• Correlation process microstructure material properties – service lifetime.
• Prediction of fatigue lifetime via a microstructure informed Kocks-Mecking type fatigue model.
The project, iBain, is supported within the German research initiative Material Digital [https://www.materialdigital.de/]. |
Proceedings Inclusion? |
Planned: |
Keywords |
Iron and Steel, Modeling and Simulation, Mechanical Properties |