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A fatigue life prediction method distinguishing fracture modes for Ni-based single crystal superalloys considering porosity defect

Authors :
Wen Jiang
Piao Li
Peng Luo
Weixing Yao
Source :
Theoretical and Applied Fracture Mechanics. 112:102883
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Microporosity is one of the most common defects in nickel base single crystal (N-SC) superalloys, which is a great threat to fatigue performance. In this paper, nine porosity-related fatigue damage parameters for N-SC superalloys were selected by referring to those parameters originally proposed for casting and 3D printing metal materials as well as the critical plane damage parameters commonly used in N-SC superalloys. According to the plastic constitutive model of single crystals, a crystal plastic finite element (CPFE) model was established to evaluate these different fatigue damage parameters, and the parameters of CPFE were calibrated by the low cycle fatigue (LCF) hysteresis loop obtained from the fatigue test. The evaluation results showed that the geometric mean of stress–strain concentration factor (GCF) k g was a satisfactory parameter to quantify the effect of porosity defects on fatigue. Inspired by the discovery and considering the slip systems characteristics of N-SC superalloys, the geometric mean of resolved stress–strain concentration factor (GRCF) k rg on slip systems was proposed, and it was found that the max ( k rg , k g ) could be used to predict the fracture modes of N-SC superalloys. Based on the max ( k rg , k g ) , a porosity-related fatigue life prediction method which can distinguish the fracture modes was put forward. The prediction results showed that the fracture mode prediction results were consistent with the test results, and the life prediction results were also improved compared with the GCF parameter.

Details

ISSN :
01678442
Volume :
112
Database :
OpenAIRE
Journal :
Theoretical and Applied Fracture Mechanics
Accession number :
edsair.doi...........a3d2f52223d3757ccb5de3623bedf573
Full Text :
https://doi.org/10.1016/j.tafmec.2020.102883