Version 1
: Received: 3 October 2024 / Approved: 3 October 2024 / Online: 4 October 2024 (08:14:52 CEST)
How to cite:
KASAR, Ç.; Kaftancıoglu, U.; BAYRAKTAR, E.; Aslan, O. Lifetime Prediction of Single Crystal Nickel-based Superalloys. Preprints2024, 2024100287. https://doi.org/10.20944/preprints202410.0287.v1
KASAR, Ç.; Kaftancıoglu, U.; BAYRAKTAR, E.; Aslan, O. Lifetime Prediction of Single Crystal Nickel-based Superalloys. Preprints 2024, 2024100287. https://doi.org/10.20944/preprints202410.0287.v1
KASAR, Ç.; Kaftancıoglu, U.; BAYRAKTAR, E.; Aslan, O. Lifetime Prediction of Single Crystal Nickel-based Superalloys. Preprints2024, 2024100287. https://doi.org/10.20944/preprints202410.0287.v1
APA Style
KASAR, Ç., Kaftancıoglu, U., BAYRAKTAR, E., & Aslan, O. (2024). Lifetime Prediction of Single Crystal Nickel-based Superalloys. Preprints. https://doi.org/10.20944/preprints202410.0287.v1
Chicago/Turabian Style
KASAR, Ç., Emin BAYRAKTAR and Ozgur Aslan. 2024 "Lifetime Prediction of Single Crystal Nickel-based Superalloys" Preprints. https://doi.org/10.20944/preprints202410.0287.v1
Abstract
Single crystal nickel-based superalloys are extensively used in turbine blade applications 1
due to their superior creep resistance compared to their polycrystalline counterparts. With the high 2
creep resistance, High Cycle Fatigue (HCF) and Low Cycle Fatigue (Single crystal nickel-based 3
superalloys are extensively used in turbine blade applications due to their superior creep resistance 4
compared to polycrystalline counterparts. As a result, fatigue becomes the primary failure mechanism 5
in such applications. Specifically, High Cycle Fatigue (HCF) and Low Cycle Fatigue (LCF) are of 6
significant concern under these conditions. This study investigates the fatigue life prediction of 7
CMSX-4 using a combined crystal plasticity and lifetime assessment model. The constitutive crystal 8
plasticity model simulates the anisotropic, rate-dependent deformation behavior of CMSX-4, while 9
a modified Chaboche damage model is used for lifetime assessment, incorporating anisotropy by 10
focusing on cleavage stresses on active slip planes. Both qualitative and quantitative data obtained 11
from HCF experiments on single crystal superalloys with notched geometry were used to validate 12
the model. Furthermore, artificial neural networks (ANNs) were employed to enhance the accuracy 13
of lifetime predictions across varying temperatures by analyzing the stress-strain data obtained from 14
simulations. The integration of crystal plasticity, damage mechanics, and ANNs resulted in accurate 15
predictions of fatigue life and crack initiation points under complex loading conditions of single 16
crystal superalloys.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
