Microstructure-informed creep model for 30CrMoNiV11-5 steel

[en] 30CrMoNiV11-5 is a high-strength rotor steel used in turbine shafts, where creep governs long-term performance under elevated temperature and stress. In this work, a physics-based mean-field creep (MFC) framework is developed, in which dislocation populations (mobile, immobile, and boundary) are coupled with precipitate-kinetics inputs and damage evolution arising from precipitate coarsening and cavitation. The precipitate state is obtained from thermo-kinetic simulations based on the alloy heat-treatment history. The model is calibrated against 7 standard creep tests at 550 °C over a stress range of 283–450 MPa. It successfully reproduces the primary–secondary–tertiary creep behaviour, captures the stress dependence of the minimum creep strain rate, and predicts rupture time with good fidelity. The predicted microstructural evolution is consistent with TEM and EBSD observations, and the model allows analysis of the respective roles of intragranular and boundary-related precipitates. The proposed framework provides a mechanism-based approach for creep-life assessment of 30CrMoNiV11-5 and related rotor steels.

Research Center/Unit :

CAREM - Center for Applied Research and Education in Microscopy

Disciplines :

Materials science & engineering
Mechanical engineering
Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Chen, Fan ; Université de Liège - ULiège > Urban and Environmental Engineering ; Université de Liège - ULiège > Département ArGEnCo > Département Argenco : Secteur MS2F

Rojas Ulloa, Carlos Eduardo ; Université de Liège - ULiège > Urban and Environmental Engineering ; Université de Liège - ULiège > Département ArGEnCo > Département Argenco : Secteur MS2F ; Université de Liège - ULiège > Faculté des Sciences Appliquées > Form. doct. sc. ingé. & techn. (archi., gén. civ. - paysage) ; Université de Liège - ULiège > Faculté des Sciences Appliquées > Doct. sc. ingé/ tech. (archi. gén. civ. géol.)

Tchuindjang, Jérôme Tchoufack ; Université de Liège - ULiège > Aérospatiale et Mécanique (A&M) ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Metallic materials for additive manufacturing

Dedry, Olivier ; Université de Liège - ULiège > Aérospatiale et Mécanique (A&M) ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Metallic materials for additive manufacturing

Bharadwaj, Rishabh; University of Oulu > Materials and Mechanical Engineering, Centre for Advanced Steels Research

Somani, Mahesh; University of Oulu > Materials and Mechanical Engineering, Centre for Advanced Steels Research

Mertens, Anne ; Université de Liège - ULiège > Aérospatiale et Mécanique (A&M) ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Metallic materials for additive manufacturing

Habraken, Anne ; Université de Liège - ULiège > Département ArGEnCo > Département Argenco : Secteur MS2F ; Université de Liège - ULiège > Département ArGEnCo ; Université de Liège - ULiège > Urban and Environmental Engineering

Language :

English

Title :

Microstructure-informed creep model for 30CrMoNiV11-5 steel

Publication date :

02 May 2026

Journal title :

Materials and Design

ISSN :

0264-1275

eISSN :

1873-4197

Publisher :

Elsevier BV

Volume :

266

Pages :

116152

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0264127526007252?httpAccept=text/xml

European Projects :

HE - 101091912 - AID4GREENEST - AI powereD characterization and modelling for GREEn STeel technology

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique
European Union

Available on ORBi :

since 05 May 2026

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Bibliography

L. Forno, et al., Rotor lifetime assessment: a reference report, in: Dispatchable Technology & Innovations for a Carbon-Neutral Society, ETN Global, 2023, pp. 1–14.
L.M.D.A. Lima, T. Hassan, A novel in situ miniature creep tester for evaluation of new cladding alloys, in: Advances in Materials Technology for Power Plants, vol. 84871, ASM International, 2024, pp. 600–611. https://doi.org/10.31399/asm.cp.am-epri-2024p0600.
ASTM E10-15a, Standard Test Method for Brinell Hardness of Metallic Materials, ASTM International, West Conshohocken, PA, 2015.
M. Godec, D.A. Skobir Balantič, Coarsening behaviour of M23C6 carbides in creep-resistant steel exposed to high temperatures, Sci. Rep. 6 (2016) 29734. https://doi.org/10.1038/srep29734
M.E. Kassner, Fundamentals of Creep in Metals and Alloys, Butterworth-Heinemann, 2015. https://doi.org/10.1016/C2012-0-06071-1.
F.R. Larson, J. Miller, A time-temperature relationship for rupture and creep stresses, Transactions of the American Society of Mechanical Engineers 74 (1952) 765–771. https://doi.org/10.1115/1.4015909
Dieter, George Ellwood, and David Bacon.Mechanical metallurgy. Vol. 3. New York: McGraw-hill, 1976.
F.T. Furillo, S. Purushothaman, J.K. Tien, Understanding the Larson-Miller parameter, Scr. Metall. 11 (1977) [add page range]. https://doi.org/10.1016/0036-9748(77)90164-8
Bryndza G, Tchuindjang J T, Chen F, et al. Review of the microstructural impact on creep mechanisms and performance for laser powder bed fusion Inconel 718[J]. Materials, 2025, 18(2): 276. https://doi.org/10.3390/ma18020276
Wilshire B, Scharning P J. A new methodology for analysis of creep and creep fracture data for 9–12% chromium steels[J]. International materials reviews, 2008, 53(2): 91-104. https://doi.org/10.1179/174328008X25434
H. Morch, Thermomechanical modelling of the creep-fatigue behaviour and damage of nickel-alloy receiver tubes used in concentrated solar power plants, Ph.D. thesis, Université de Liège, Belgium (2022).
Y.N. Rabotnov, A mechanism of the long-term fracture, Voprosy Prochnosti Materialov i Konstruktsii AN SSSR (1959) 5–7 (in Russian).
Y. Liu, S. Murakami, Damage localization of conventional creep damage models and proposition of a new model for creep damage analysis, JSME Int. J. Ser. A 41 (1998) 57–65. https://doi.org/10.1299/jsmea.41.57
B. Wilshire, P.J. Scharning, Long-term creep life prediction for a high chromium steel, Scr. Mater. 56 (2007) 701–704. https://doi.org/10.1016/j.scriptamat.2006.12.033
J.A. Cano, C.M. Stewart, Accelerated creep test qualification of creep-resistance using the Wilshire–Cano–Stewart constitutive model and stepped isostress method, J. Eng. Gas Turbines Power 144 (2022) 011016. https://doi.org/10.1115/1.4052205
J. Wang, Y. Fa, Y. Tian, et al., A machine-learning approach to predict creep properties of Cr–Mo steel with time-temperature parameters, J. Mater. Res. Technol. 13 (2021) 635–650. https://doi.org/10.1016/j.jmrt.2021.04.079
K. Nakamura, T. Ohnuma, Machine-learning investigation on the creep-rupture time of heat-resistant steels, Mater. Today Commun. 36 (2023) 106687. https://doi.org/10.1016/j.mtcomm.2023.106687
M. Chai, Y. He, Y. Li, et al., Machine learning-based framework for predicting creep rupture life of modified 9Cr-1Mo steel, Appl. Sci. 13 (2023) 4972. https://doi.org/10.3390/app13084972
Y. Tan, X. Wang, Z. Kang, et al., Creep lifetime prediction of 9% Cr martensitic heat-resistant steel based on ensemble learning method, J. Mater. Res. Technol. 21 (2022) 4745–4760. https://doi.org/10.1016/j.jmrt.2022.11.067
J. Sakurai, M. Demura, J. Inoue, et al., Creep life predictions by machine learning methods for ferritic heat resistant steels, ISIJ Int. 63 (2023) 1786–1797. https://doi.org/10.2355/isijinternational.ISIJINT-2023-266
J.J. He, R. Sandström, J. Zhang, et al., Application of soft constrained machine learning algorithms for creep rupture prediction of an austenitic heat resistant steel Sanicro 25, J. Mater. Res. Technol. 22 (2023) 923–937. https://doi.org/10.1016/j.jmrt.2022.11.154
L. Holub, J. Dunovský, J. Suchanek, Evaluation of hardness curves of multilayer welds of creep resistant steel 1.6946 using saw method to the ultra narrow gap, Ann. Fac. Eng. Hunedoara 14 (2016) 85. https://doi.org/10.17973/MMSJ.2015_03_201511
S. Holdsworth, Creep ductility of 1CrMoV rotor steel, Mater. High Temp. 34 (2017) 99–108.
M. Grosso, F. Sansoni, A. Sorce, M. Monti, F. Pascucci, R. Razzoli, Influence of startup management on the residual life of a large steam turbine shaft, in: Proc. ISROMAC 2016, 2016.
F. Kölzow, Application of probabilistic methods for lifetime prediction of high temperature components under creep-fatigue loading, Ph.D. thesis, Technische Universität Darmstadt, (2021).
J. Schemmel, Beschreibung des Verformungs-, Festigkeits- und Versagensverhaltens von Komponenten im Kriechbereich unter instationärer Beanspruchung mit einem elastisch-viskoplastischen Werkstoffmodell, Ph.D. thesis, Universität Stuttgart, (2003).
L. Wei, S. Wang, W. Hao, et al., Prediction of high-temperature creep life of austenitic heat-resistant steels based on data fusion, Metals 13 (2023) 1630. https://doi.org/10.3390/met13091630
Z. Li, Z. Gan, Phase-field modeling of grain evolution and recrystallization in friction stir processing, in: Proc. Int. Manuf. Sci. Eng. Conf., ASME, 2024, 88100, V001T02A004. https://doi.org/10.1115/MSEC2024-124400.
N.M. Ghoniem, J.R. Matthews, R.J. Amodeo, A dislocation model for creep in engineering materials, Res. Mech. 29 (1990).
S.D. Yadav, B. Sonderegger, M. Stracey, et al., Modelling the creep behaviour of tempered martensitic steel based on a hybrid approach, Mater. Sci. Eng. A 662 (2016) 330–341. https://doi.org/10.1016/j.msea.2016.03.071
F. Riedlsperger, B. Krenmayr, G. Zuderstorfer, et al., Application of an advanced mean-field dislocation creep model to P91 for calculation of creep curves and time-to-rupture diagrams, Materialia 12 (2020) 100760. https://doi.org/10.1016/j.mtla.2020.100760
F. Riedlsperger, T. Wojcik, R. Buzolin, et al., Recent progress in the microstructurally based creep modelling of Ni-based alloy 617, Mater. High Temp. 41 (2024) 158–168. https://doi.org/10.1080/09603409.2023.2281123
F. Riedlsperger, T. Wojcik, R. Buzolin, et al., Microstructural insights into creep of Ni-based alloy 617 at 700 °C provided by electron microscopy and modelling, Mater. Charact. 198 (2023) 112720. https://doi.org/10.1016/j.matchar.2023.112720
T. Berecz, P. Jenei, A. Csóré, et al., Determination of dislocation density by electron backscatter diffraction and X-ray line profile analysis in ferrous lath martensite, Mater. Charact. 113 (2016) 117–124. https://doi.org/10.1016/j.matchar.2015.11.014
J.S. Dubey, H. Chilukuru, J.K. Chakravartty, et al., Effects of cyclic deformation on subgrain evolution and creep in 9–12% Cr steels, Mater. Sci. Eng. A 406 (2005) 152–159. https://doi.org/10.1016/j.msea.2005.06.029
T. Zhou, R.P. Babu, Z. Hou, et al., Precipitation of multiple carbides in martensitic CrMoV steels: experimental analysis and exploration of alloying strategy through thermodynamic calculations, Materialia 9 (2020) 100630. https://doi.org/10.1016/j.mtla.2020.100630
T. Xue, S. Liao, Z. Gan, et al., JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science, Comput. Phys. Commun. 291 (2023) 108802. https://doi.org/10.1016/j.cpc.2023.108802
ISO 204, Metallic materials—uniaxial creep testing in tension—method of test, International Organization for Standardization, Geneva (2018).
J. Kreyca, E. Kozeschnik, State parameter-based constitutive modelling of stress strain curves in Al-Mg solid solutions, Int. J. Plast. 103 (2018) 67–80. https://doi.org/10.1016/j.ijplas.2018.01.001
H. Mughrabi, The α-factor in the Taylor flow-stress law in monotonic, cyclic and quasi-stationary deformations: dependence on slip mode, dislocation arrangement and density, Curr. Opin. Solid State Mater. Sci. 20 (2016) 411–420. https://doi.org/10.1016/j.cossms.2016.07.001
D. Caillard, J.L. Martin, Dislocation climb, in: Thermally Activated Mechanisms in Crystal Plasticity, Elsevier (2003) 281–307. https://doi.org/10.1016/S1470-1804(03)80038-X.
P.M. Anderson, J.P. Hirth, J. Lothe, Theory of Dislocations, Cambridge University Press (2017). https://doi.org/10.1016/0502-8205(49)90004-0.
D.M. Owen, T.G. Langdon, Low stress creep behavior: an examination of Nabarro–Herring and Harper–Dorn creep, Mater. Sci. Eng. A 216 (1996) 20–29. https://doi.org/10.1016/0921-5093(96)10382-8
C. Ó Murchú, S.B. Leen, P.E. O’Donoghue, R.A. Barrett, A physically-based creep damage model for effects of different precipitate types, Mater. Sci. Eng. A 682 (2017) 714–722. https://doi.org/10.1016/j.msea.2016.11.044
B. Sonderegger, E. Kozeschnik, Particle strengthening in fcc crystals with prolate and oblate precipitates, Scr. Mater. 66 (2012) 52–55. https://doi.org/10.1016/j.scriptamat.2011.10.003
G.M. Cheng, W.Z. Xu, W.W. Jian, et al., Dislocations with edge components in nanocrystalline bcc Mo, J. Mater. Res. 28 (2013) 1820–1826. https://doi.org/10.1557/jmr.2012.403
W. Wright, Essentials of Materials Science and Engineering, Cengage Learning (2019).
F. Abe, T.-U. Kern, R. Viswanathan (Eds.), Creep-Resistant Steels, Elsevier (2008).
J. Lemaitre, R. Desmorat, Engineering Damage Mechanics: Ductile, Creep, Fatigue and Brittle Failures, Springer (2005). https://doi.org/10.1007/b138882.
W. Blum, P. Eisenlohr, Dislocation mechanics of creep, Mater. Sci. Eng. A 510 (2009) 7–13. https://doi.org/10.1016/j.msea.2008.04.110