Thermomechanical fatigue in 9-12Cr steels: Life prediction models and the effect of tensile dwell periods

Barrett, Richard A.; Hyde, Christopher J.; O'Donoghue, Padraic E.; Leen, Sean B.

Abstract

This paper is concerned with the assessment of life prediction models for thermomechanical fatigue (TMF), with specific application to P91 steel. A program of TMF tests, including dwell periods, are performed to determine the role of thermomechanical loading on fatigue life. As expected, fatigue life under conventional TMF testing (no dwells) is governed by maximum applied stress and inelastic strain-range. However, with the introduction of dwell periods, at maximum tensile stress during TMF loading, in-phase loading becomes the life-limiting case. This is attributed here to increased microstructural degradation and oxidation, associated with the dwell at peak temperature. Analysis of commonly used TMF life prediction models shows that the effect of dwell periods currently cannot be predicted for in-phase loading. Thus, it is concluded that physically-motivated approaches are required to successfully predict fatigue life under more complex (service) thermomechanical loading histories.
Keywords

Citation

Barrett, R. A., Hyde, C. J., O'Donoghue, P. E., & Leen, S. B. (2019). Thermomechanical fatigue in 9-12Cr steels: Life prediction models and the effect of tensile dwell periods. International Journal of Fatigue, 126, 335-345. https://doi.org/10.1016/j.ijfatigue.2019.05.007

• Journal Article Type: Article
• Acceptance Date: May 8, 2019
• Online Publication Date: May 9, 2019
• Publication Date: 2019-09
• Deposit Date: May 22, 2019
• Publicly Available Date: May 10, 2020
• Journal: International Journal of Fatigue
• Print ISSN: 0142-1123
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 126
• Pages: 335-345
• DOI: https://doi.org/10.1016/j.ijfatigue.2019.05.007
• Keywords: Mechanical Engineering; Modelling and Simulation; Industrial and Manufacturing Engineering; General Materials Science; Mechanics of Materials
• Public URL: https://nottingham-repository.worktribe.com/output/2078915
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0142112319301707