A Novel Viscosity-Based Model for Low Cycle Fatigue–Creep Life Prediction of High-Temperature Structures

2012 ◽  
Vol 21 (7) ◽  
pp. 1076-1099 ◽  
Author(s):  
Shun-Peng Zhu ◽  
Hong-Zhong Huang ◽  
Yanfeng Li ◽  
Liping He
Keyword(s):  
High Temperature ◽  
Life Prediction ◽  
Low Cycle Fatigue ◽  
Cycle Fatigue ◽  
Creep Life ◽  
Creep Life Prediction

Proposal of a new low-cycle fatigue life model for cast iron with room temperature calibration involving mean stress and high-temperature effects

2019 ◽  
Vol 233 (14) ◽  
pp. 5056-5073 ◽  
Author(s):  
Cristiana Delprete ◽  
Raffaella Sesana
Keyword(s):  
Finite Element ◽  
Cast Iron ◽  
High Temperature ◽  
Finite Element Model ◽  
Life Prediction ◽  
Low Cycle Fatigue ◽  
Element Model ◽  
Mean Stress ◽  
Exhaust Manifold ◽  
Cycle Fatigue

The paper presents and discusses a low-cycle fatigue life prediction energy-based model. The model was applied to a commercial cast iron automotive exhaust manifold. The total expended energy until fracture proposed by the Skelton model was modified by means of two coefficients which take into account of the effects of mean stress and/or mean strain, and the presence of high temperature. The model was calibrated by means of experimental tests developed on Fe–2.4C–4.6Si–0.7Mo–1.2Cr high-temperature-resistant ductile cast iron. The thermostructural transient analysis was developed on a finite element model built to overtake confidentiality industrial restrictions. In addition to the commercial exhaust manifold, the finite element model considers the bolts, the gasket, and a cylinder head simulacrum to consider the corresponding thermal and mechanical boundary conditions. The life assessment performance of the energy-based model with respect the cast iron specimens was compared with the corresponding Basquin–Manson–Coffin and Skelton models. The model prediction fits the experimental data with a good agreement, which is comparable with both the literature models and it shows a better fitting at high temperature. The life estimations computed with respect the exhaust manifold finite element model were compared with different multiaxial literature life models and literature data to evaluate the life prediction capability of the proposed energy-based model.

The Residual Life Prediction of High Temperature Low Cycle Fatigue of 30CrMnSiA Steel

2014 ◽  
Vol 633-634 ◽  
pp. 184-187 ◽  
Author(s):  
Guo Dong Gao ◽  
Wen Xiao Zhang ◽  
Wang Zheng
Keyword(s):  
High Temperature ◽  
Life Prediction ◽  
Residual Life ◽  
Low Cycle Fatigue ◽  
Rbf Neural Network ◽  
Cycle Fatigue ◽  
Mechanical Fatigue ◽  
Steel Base ◽  
Network Method ◽  
Good Agreement

The analysis of the residual life of high temperature low cycle fatigue of 30CrMnSiA steel plays important roles in improving security and avoiding accidents. In this paper, the RBF neural network method is used to predict the residual life of high temperature low cycle fatigue of 30CrMnSiA steel base on data from the thermo-mechanical fatigue test. The feasibility of the method is proved by a practice example, and the learning results are in good agreement with the experimental data.

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