Nondestructive evaluation of creep damage and life prediction of Ni-base superalloy used in advanced gas turbine blades by electrochemical technique

Author(s):  
Shin-ichi Komazaki ◽  
Tetsuo Shoji ◽  
Iwao Abe ◽  
Ikuo Okada
1980 ◽  
Author(s):  
J. Liburdi ◽  
J. O. Stephens

This paper presents the effects of deterioration of gas turbine blade life with prolonged service exposure. This deterioration is primarily due to internal microstructural changes and the formation of creep voids or cavitation. Methods of evaluating residual blade life or life trend curves are presented along with a documentation of the creep damage observed. The extension of blade life by Hot isostatic pressing versus reheat treatment is discussed and data is presented to show that complete recovery of properties can be achieved even after the material has suffered extensive internal creep damage. As a result, the time between overhauls for blades can be significantly extended, and the need for replacement blades can be minimized.


1996 ◽  
Vol 78 (1-3) ◽  
pp. 113-123 ◽  
Author(s):  
A.A. Tchizhik ◽  
A.I. Rybnikov ◽  
I.S. Malashenko ◽  
S.A. Leontiev ◽  
A.S. Osyka

2015 ◽  
Vol 32 (4) ◽  
Author(s):  
Yan-Feng Li ◽  
Shun-Peng Zhu ◽  
Jing Li ◽  
Weiwen Peng ◽  
Hong-Zhong Huang

AbstractThis paper investigates Bayesian model selection for fatigue life estimation of gas turbine blades considering model uncertainty and parameter uncertainty. Fatigue life estimation of gas turbine blades is a critical issue for the operation and health management of modern aircraft engines. Since lots of life prediction models have been presented to predict the fatigue life of gas turbine blades, model uncertainty and model selection among these models have consequently become an important issue in the lifecycle management of turbine blades. In this paper, fatigue life estimation is carried out by considering model uncertainty and parameter uncertainty simultaneously. It is formulated as the joint posterior distribution of a fatigue life prediction model and its model parameters using Bayesian inference method. Bayes factor is incorporated to implement the model selection with the quantified model uncertainty. Markov Chain Monte Carlo method is used to facilitate the calculation. A pictorial framework and a step-by-step procedure of the Bayesian inference method for fatigue life estimation considering model uncertainty are presented. Fatigue life estimation of a gas turbine blade is implemented to demonstrate the proposed method.


Author(s):  
Andrea Riva ◽  
Stefano Elli ◽  
Julien Nussbaum

Creep mechanisms are present in heavy duty gas turbine blades and vanes due to the simultaneous presence of high temperature and high stresses. Therefore, the microstructural phenomena (dislocation movement and atomic diffusion) that occur and accumulate during service are able to convert part of the initial elastic field of strain into permanent creep strain. This also induces a global redistribution of stresses. The progressive accumulation of creep strain can, in some extreme cases, produce changes and damage in the material (gamma prime rafting, porosity) and can eventually lead to component failure. This work shows how the understanding of the nature of the load significantly affect the capability of creep strain to produce damage. In fact, it is shown how both primary (non-self-limiting) and secondary (self-limiting) loads are both capable to generate a significant amount of creep strain, but the microstructural damage is more easily generated by relentless primary loads, generated by external forces such as the rotor blade centrifugal force (or, in other components, external gas pressure, dead weight). In the case of turbine blades and vanes, due to the complexity of the component, it is challenging to quantitatively distinguish relentless primary from self-limiting secondary stresses or simply thermal from mechanical contributions. This work is aimed to provide the designer with tools to perform such distinction and support the interpretation of the creep calculations. The proposed methodologies are developed to improve the accuracy of the prediction of the creep damage in turbine blades and vanes, but they can also be used for other purposes (e.g. predict the hysteresis cycle shift, support the estimation of the plastic strain on the basis of an elastic FE calculation), as illustrated in the paper.


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