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The simulations employ fatigue indicator parameters (FIPs) computed over finite volumes that relate to processes of fatigue crack formation and early growth at the scale of individual grains.
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Two new systems for monitoring the physical properties of the specimens have been developed for studying the process of fatigue crack nucleation.
We reviewed the relevant literature to select potential plasma biomarkers and genes whose expression in lymphocytes could relate to the process of fatigue produced by chemotherapy.
In the process of fatigue testing, the cracks are observed under the optical microscope.
Analysis of test results and microscopy investigation of fractures made it possible to identify the process of fatigue damage growth.
This paper presents a local approach to analyze the fatigue crack growth rate (FCGR) through the characterization on the dissipative process of fatigue crack tip zone.
The failure of hardened, high performance gearing normally occurs through a process of fatigue and is usually attributed to a combination of the material properties along with gear design and mechanical misalignment.
Monitoring the process of fatigue crack propagation as well as estimating the remaining useful life (RUL) of a structure is thus essential to prevent catastrophic failure while minimizing earlier-than-required replacement.
The observed process of fatigue damage is similar to that of strain variation, and the whole process can be divided into three different stages, initial growth stage I, slow growth stage II, and rapid growth stage III.
For fatigue crack growth rates in the range 10−5 10−4 mm/cycle, the process of fatigue crack growth in plane stress (as well as in the surface layer of a nominally plane strain specimen) was discontinuous in nature, whereas fatigue crack growth in plane strain occurred on a cycle-by-cycle basis.
The aim of this paper is to extend the research on fatigue damage in the already studied steel and to study how these damage parameters are correlated with the process of fatigue damage in order to evaluate the effectiveness of damage detection methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com