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The prediction of crack propagation in coarse grain RR1000 using a unified modelling approach

Engel, B.; Rouse, J.P.; Hyde, C.J.; Lavie, W.; Leidermark, D.; Stekovic, S.; Williams, S.J.; Pattison, S.J.; Grant, B.; Whittaker, M.T.; Jones, J.P.; Lancaster, R.J.; Li, H.Y

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Authors

B. Engel

JAMES ROUSE JAMES.ROUSE@NOTTINGHAM.AC.UK
Assistant Professor

W. Lavie

D. Leidermark

S. Stekovic

S.J. Williams

S.J. Pattison

B. Grant

M.T. Whittaker

J.P. Jones

R.J. Lancaster

H.Y Li



Abstract

© 2020 Elsevier Ltd The polycrystalline nickel-base superalloy RR1000 is used as turbine rotor material in Rolls-Royce aero engines and has to withstand a wide variety of load and temperature changes during operation. In order to maximize the potential of the material and to improve component design, it is of great interest to understand, and subsequently be able to accurately model the crack propagation caused by thermo-mechanical fatigue conditions. In this work, experimental data is analysed and used to inform unified modelling approaches in order to predict the crack propagation behaviour of RR1000 under a variety of stress-controlled thermo-mechanical fatigue conditions.

Citation

Engel, B., Rouse, J., Hyde, C., Lavie, W., Leidermark, D., Stekovic, S., …Li, H. (2020). The prediction of crack propagation in coarse grain RR1000 using a unified modelling approach. International Journal of Fatigue, 137, 105652. https://doi.org/10.1016/j.ijfatigue.2020.105652

Journal Article Type Article
Acceptance Date Apr 14, 2020
Online Publication Date Apr 18, 2020
Publication Date Aug 1, 2020
Deposit Date Apr 27, 2020
Publicly Available Date Mar 29, 2024
Journal International Journal of Fatigue
Print ISSN 0142-1123
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 137
Pages 105652
DOI https://doi.org/10.1016/j.ijfatigue.2020.105652
Keywords Mechanical Engineering; Modelling and Simulation; Industrial and Manufacturing Engineering; General Materials Science; Mechanics of Materials
Public URL https://nottingham-repository.worktribe.com/output/4309730
Publisher URL https://www.sciencedirect.com/science/article/abs/pii/S0142112320301833

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