| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
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| Presentation Title |
Investigating Fatigue Crack Nucleation in Ti Alloys Containing Micro-Texture Regions (MTR) Using Parametrically Upscaled Constitutive and Crack Nucleation Models |
| Author(s) |
Kishore Appunhi Nair, Somnath Ghosh, Tawqeer Tak |
| On-Site Speaker (Planned) |
Kishore Appunhi Nair |
| Abstract Scope |
Microtexture regions (MTRs), defined as clusters of grains with similar crystallographic orientations, play a critical role in the fatigue failure of dual-phase α/β titanium alloys. This work introduces a novel multiscale modeling approach, the Parametrically Upscaled Constitutive Model (PUCM) and Parametrically Upscaled Crack Nucleation Modeling (PUCNM) framework, to predict fatigue crack nucleation in alpha/beta Ti-6Al-4V alloys containing MTRs. This methodology bridges spatial scales by incorporating microstructural features into constitutive equations as Representative Aggregated Microstructural Parameters (RAMPs), ensuring a thermodynamically consistent upscaled model. A novel RAMP, which in addition to morphological and crystallographic features, considers the nature of MTRs (hard/soft), is introduced to quantify the intensity of MTRs. Utilizing machine learning techniques, the functional dependence of crack nucleation probability on state variables and RAMPs is derived. The calibrated PUCM/PUCNM model is then employed to investigate the competing influences of geometric (Notch) and microstructural (MTR) features on crack nucleation. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Machine Learning, Modeling and Simulation, Titanium |