Abstract
To scrupulously predict the creep-fatigue life of materials, a creep life prediction model is first proposed in this study considering real-time creep damage derived from the Kachanov creep damage model; second, combined with the Chaboche fatigue damage model and the nonlinear coupling mechanism of continuous damage mechanics, a creep-fatigue life prediction model of material is ulteriorly presented in this paper; finally, the effectiveness of the creep-fatigue life model is corroborated by experiment data of DZ125, whose prediction results are in the ± 2.0 dispersion zone and then the creep-fatigue life of the turbine blade is calculated to compare with the experimental results of the blade specimen to further prove the practicability, whose error is about 3.2%, which can provide a theoretical reference for the damage prediction, durability analysis, and life prediction of the turbine blade.
Issue Section:
Research Papers
References
1.
Wang
, X. W.
, Zhang
, W.
, Gong
, J. M.
, and Wahab
, M.
, 2018
, “Low Cycle Fatigue and Creep Fatigue Interaction Behavior of 9Cr-0.5 Mo-1.8 WV-Nb Heat-Resistant Steel at High Temperature
,” J. Nucl. Mater.
, 505
, pp. 73
–84
. 2.
Cho
, N. K.
, Chen
, H. F.
, Boyle
, J. T.
, and Xuan
, F. Z.
, 2018
, “Enhanced Fatigue Damage Under Cyclic Thermo-Mechanical Loading at High Temperature by Structural Creep Recovery Mechanism
,” Int. J. Fatigue
, 113
, pp. 149
–159
. 3.
Han
, L.
, Li
, P.
, Yu
, S.
, Chen
, C.
, Fei
, C.
, and Lu
, C.
, 2022
, “Creep/Fatigue Accelerated Failure of Ni-Based Superalloy Turbine Blade: Microscopic Characteristics and Void Migration Mechanism
,” Intl. J. Fatigue
, 154
, p. 106558
. 4.
Masuoka
, T.
, and Riccius
, J. R.
, 2020
, “Life Evaluation of a Combustion Chamber by Thermomechanical Fatigue Panel Tests Based on a Creep Fatigue and Ductile Damage Model
,” Int. J. Damage Mech.
, 29
(2
), pp. 226
–245
. 5.
Kaustav
, B.
, Sivaprasad
, S.
, Kar
, S.
, and Tarafder
, S.
, 2018
, “Creep Fatigue Interaction Under Different Test Cariables: Mechanics and Mechanisms
,” J. Test. Eval.
, 46
(6
), pp. 2521
–2539
. 6.
Ding
, B.
, Ren
, W. L.
, Peng
, J. C.
, Zhong
, Y. B.
, and Yu
, J. B.
, 2018
, “Influence of Dwell Time on the Creep–Fatigue Behavior of a Directionally Solidified Ni-Based Superalloy DZ445 at 850°C
,” Mater. Sci. Eng. A
, 725
, pp. 319
–328
. 7.
Hosseini
, E.
, Kalyanasundaram
, V.
, Li
, X.
, and Holdsworth
, S. R.
, 2018
, “Effect of Prior Deformation on the Subsequent Creep and Anelastic Recovery Behaviour of an Advanced Martensitic Steel
,” Mater. Sci. Eng. A
, 717
, pp. 68
–77
. 8.
Zhang
, S. L.
, Xuan
, F. Z.
, Guo
, S. J.
, and Zhao
, P.
, 2017
, “The Role of Anelastic Recovery in the Creep-Fatigue Interaction of 9–12% Cr Steel at High Temperature
,” Int. J. Mech. Sci.
, 122
, pp. 95
–103
. 9.
Payten
, W.
, Dean
, D.
, and Snowden
, K.
, 2010
, “A Strain Energy Density Method for the Prediction of Creep–Fatigue Damage in High Temperature Components
,” Mater. Sci. Eng. A
, 527
(7–8
), pp. 1920
–1925
. 10.
Ferezqi
, H.
, Shariati
, M.
, and Saeid
, H.
, 2018
, “The Assessment of Elastic Follow-up Effects on Cyclic Accumulation of Inelastic Strain Under Displacement-Control Loading
,” Iran. J. Sci. Technol.: Trans. Mech. Eng.
, 42
(2
), pp. 127
–135
. 11.
Wang
, R. Z.
, Guo
, S. J.
, Chen
, H. F.
, Wen
, J. F.
, Zhang
, X. C.
, and Tu
, S. T.
, 2019
, “Multi-Axial Creep-Fatigue Life Prediction Considering History-Dependent Damage Evolution: A New Numerical Procedure and Experimental Validation
,” J. Mech. Phys. Solids
, 131
, pp. 313
–336
. 12.
Wong
, E.
, 2019
, “A New Creep Fatigue Model for Solder Joints
,” Microelectron. Reliab.
, 98
, pp. 153
–160
. 13.
Shlyannikov
, V.
, 2019
, “Creep–Fatigue Crack Growth Rate Prediction Based on Fracture Damage Zone Models
,” Eng. Fract. Mech.
, 214
, pp. 449
–463
. 14.
Pandey
, V.
, Samant
, S.
, Singh
, I. V.
, and Mishra
, B.
, 2020
, “An Improved Methodology Based on Continuum Damage Mechanics and Stress Triaxiality to Capture the Constraint Effect During Fatigue Crack Propagation
,” Int. J. Fatigue
, 140
, p. 105823
. 15.
Li
, Z. L.
, Shi
, D. Q.
, Li
, S. L.
, Yang
, X. G.
, and Miao
, G. L.
, 2019
, “A Systematical Weight Function Modified Critical Distance Method to Estimate the Creep-Fatigue Life of Geometrically Different Structures
,” Int. J. Fatigue
, 126
, pp. 6
–19
. 16.
Ji
, D. M.
, Ren
, J. X.
, and Zhang
, L. C.
, 2016
, “A Novel Creep-Fatigue Life Prediction Model for P92 Steel on the Basis of Cyclic Strain Energy Density
,” J. Mater. Eng. Perform.
, 25
(11
), pp. 4868
–4874
. 17.
Su
, S. N.
, Akkara
, F.
, Thaper
, R.
, Alkhazali
, A.
, Hamasha
, M.
, and Hamasha
, S.
, 2019
, “A State-of-the-Art Review of Fatigue Life Prediction Models for Solder Joint
,” ASME J. Electron. Packag.
, 141
(4
), p. 040802
. 18.
Kumar
, J.
, Singh
, A.
, Ganesh Sundara Raman
, S.
, and Kumar
, V.
, 2017
, “Creep-Fatigue Damage Modeling in Ti-6Al-4V Alloy: A Mechanistic Approach
,” Int. J. Fatigue
, 98
, pp. 62
–67
. 19.
Zhu
, S. P.
, Huang
, H. Z.
, Liu
, Y. Z.
, Yuan
, R.
, and He
, L. P.
, 2013
, “An Efficient Life Prediction Methodology for Low Cycle Fatigue–Creep Based on Ductility Exhaustion Theory
,” Int. J. Damage Mech.
, 22
(4
), pp. 556
–571
. 20.
Liu
, H. F.
, Yang
, X. Y.
, Jiang
, L. J.
, Lv
, S. T.
, Huang
, T.
, and Yang
, Y.
, 2020
, “Fatigue-Creep Damage Interaction Model of Asphalt Mixture Under the Semi-Sine Cycle Loading
,” Constr. Build. Mater.
, 251
, p. 119070
. 21.
Liu
, N.
, Cui
, X. D.
, Xiao
, J.
, Lua
, J.
, and Phan
, N.
, 2020
, “A Simplified Continuum Damage Mechanics Based Modeling Strategy for Cumulative Fatigue Damage Assessment of Metallic Bolted Joints
,” Int. J. Fatigue
, 131
, p. 105302
. 22.
Shi
, C. X.
, Zhong
, Z. Y.
, and Feng
, D.
, 2012
, China Superalloys Handbook
, China Zhijian Publishing House and Standard Press of China
, Beijing
.23.
Dong
, C. L.
, and Yu
, H. C.
, 2017
, “Critical Plane Damage Method for Fatigue-Creep Life Prediction of Nickel-Based Superalloy
,” J. Aeronaut. Mater.
, 37
(4
), pp. 69
–76
. 24.
Golub
, V. P.
, and Romanov
, A. V.
, 1990
, “Construction of Nonlinear Models of Damage Cumulation in Creep
,” Strength Mater.
, 22
(6
), pp. 786
–792
. 25.
Chaboche
, J. L.
, and Lesne
, P. M.
, 1988
, “A Non-Linear Continuous Fatigue Damage Model
,” Fatigue Fract. Eng. Mater. Struct.
, 11
(1
), pp. 1
–17
. 26.
Huo
, J. Z.
, Sun
, D. B.
, Wu
, H. Y.
, and Wang
, W. Z.
, 2019
, “Multi-Axis Low-Cycle Creep/Fatigue Life Prediction of High-Pressure Turbine Blades Based on a New Critical Plane Damage Parameter
,” Eng. Fail. Anal.
, 106
, p. 104159
. 27.
Shamsarjmand
, M.
, and Adibnazari
, S.
, 2021
, “Fatigue Life Prediction of Pre-Corroded AZ31 Magnesium Alloy Based on Surface Topology
,” J. Mech. Eng. Sci.
, pp. 1
–13
. Copyright © 2022 by ASME
You do not currently have access to this content.
