About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
2026 Graduate Student Poster Contest
|
| Presentation Title |
SPG-15: An Integrated Framework for Fatigue Life Prediction of Ni–Co-Based Superalloys Combining Extreme Value Statistics, Finite Element Analysis, and Fatigue Crack Growth Analysis |
| Author(s) |
Yushi Ishii, Kazuya Yamamoto, Taiyo Maeda, Hideaki Nishikawa, Satoshi Utada, Toshio Osada, Shingo Ozaki |
| On-Site Speaker (Planned) |
Yushi Ishii |
| Abstract Scope |
Fatigue life of Ni–Co-based superalloys is strongly influenced by inclusions. This study presents an integrated framework for fatigue life prediction combining inclusion size information, extreme value statistics, finite element analysis, and fatigue crack growth analysis. Inclusion sizes were measured by optical microscopy and analyzed using extreme value statistics to estimate the distribution of large inclusions within a specified material volume. Inclusion sizes sampled from this distribution were assigned as initial cracks in finite-element-based virtual specimens. Local stress and strain fields were obtained through finite element analysis. Fatigue crack growth life was evaluated using a crack growth model that accounts for crack-opening and crack-closure effects in small cracks. Specimen fatigue life was defined as the minimum life among all finite elements. The proposed framework enables fatigue life prediction based on statistically characterized inclusion distributions and provides a practical methodology for reliability assessment of Ni–Co-based superalloy components. |