About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
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Symposium
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Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
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Presentation Title |
Fatigue Indicator Parameters: Effects of Phase Transformation and Nonlocality |
Author(s) |
John A. Moore, Caitlin Martinez , Jacob P. P. Rusch, Parisa Shabani Nezhad, Sivom Manchiraju, Ayushi Chandel, Dinc Erdeniz |
On-Site Speaker (Planned) |
John A. Moore |
Abstract Scope |
Fatigue indicator parameters (FIPs) are a powerful tool for materials design. These parameters are useful in selecting microstructural features on which to focus process improvements. However, two aspects of FIPs are ill-explored: phase transformation and nonlocality. Without understanding these effects, it is difficult to make fatigue predictions regarding complex materials such as Nitinol. Here the effects of a reversible phase transformation on the FIPS is studied for a polygranular microstructure and inclusions[1]. This work also introduces a nonconformal nonlocal volume averaging technique. Averaging FIPS is this way both captures the spread in fatigue data and is mesh independent. Together this study presents predictions of statistical spread in fatigue life for Nitinol, Ti-6Al-4V and beyond.
[1]Moore, John A., Jacob P. Rusch, Parisa Shabani Nezhad, Sivom Manchiraju, and Dinc Erdeniz. "Effects of martensitic phase transformation on fatigue indicator parameters determined by a crystal plasticity model." International Journal of Fatigue (2022): 107457. |
Proceedings Inclusion? |
Planned: |
Keywords |
Computational Materials Science & Engineering, Modeling and Simulation, Phase Transformations |