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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Stekovic, Svjetlana
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2024Modelling the influence of plasticity induced softening on the low cycle fatigue and crack propagation behaviour of a nickel-based superalloycitations
- 2022Effect of Nitriding on Microstructure and Mechanical Properties on a Ti64Alloy for Aerospace Applications
- 2021Thermomechanical fatigue life due to scatter in constitutive parameterscitations
- 2020On the mechanistic difference between in-phase and out-of-phase thermo-mechanical fatigue crack growthcitations
- 2020The prediction of crack propagation in coarse grain RR1000 using a unified modelling approachcitations
- 2018Thermomechanical fatigue crack initiation in disc alloys using a damage approachcitations
- 2007Low Cycle Fatigue and Thermo-Mechanical Fatigue of Uncoated and Coated Nickel-Base Superalloys
- 2005Low Cycle Fatigue of Single Crystal Nickel-Base Superalloy CMSX-4 Coated With a New Coating IC1citations
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article
The prediction of crack propagation in coarse grain RR1000 using a unified modelling approach
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.