Abstract
The determination of high cycle fatigue (HCF) properties of a material with standard method requires a lot of specimens, and could be really time consuming. The self-heating method has been developed in order to predict S–N–P curves (i.e., amplitude stress – number of cycles to failure – probability of failure) with only a few specimens. So the time-saving advantage of this method has been demonstrated on several materials, at room temperature. In order to reduce the cost and time of fatigue characterization at high temperature, the self-heating method is adapted to characterize HCF properties of a titanium alloy, the Ti-6Al-4V (TA6V), at different temperatures. So the self-heating procedure is adjusted to conduct tests with a furnace. Two dissipative phenomena can be observed on self-heating curves. Because of this, a two-scale probabilistic model with two dissipative mechanisms is used to describe them. The first one is observed for low amplitudes of cyclic loading, under the fatigue limit, and the second one for higher amplitudes where the mechanisms of fatigue damage are activated and are dissipating more energy. This model was developed on steel at room temperature. Even so, it is used to describe the self-heating curves of the TA6V at several temperatures.
Highlights
Performance of turbojet can be improved by increasing the operation temperature or by reducing the mass of the components
The purpose of this study is to develop a fast prediction method of high cycle fatigue (HCF) properties at high temperature based on self-heating measurements under cyclic loadings
We propose an extension of the use of self-heating measurement to the prediction of HCF properties of the TA6V at different temperatures
Summary
Performance of turbojet can be improved by increasing the operation temperature or by reducing the mass of the components. The purpose of this study is to develop a fast prediction method of HCF properties at high temperature (up to 450°C for the TA6V) based on self-heating measurements under cyclic loadings. This method is based on the monitoring of the stabilized temperature of the studied specimen during cyclic loadings. It has been used for different load ratios [7] and extended to multiaxial loadings [8,9] In all of these cases, the link between self-heating measurements and fatigue properties (at least the mean endurance limit) is established. The results predicted by the model are compared to classical experimental fatigue results
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