2019
DOI: 10.3390/e22010024
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Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys

Abstract: Fatigue in any material is a result of continuous irreversible degradation process. Traditionally, fatigue life is predicted by extrapolating experimentally curve fitted empirical models. In the current study, unified mechanics theory is used to predict life of Ti-6Al-4V under monotonic tensile, compressive and cyclic load conditions. The unified mechanics theory is used to derive a constitutive model for fatigue life prediction using a three-dimensional computational model. The proposed analytical and computa… Show more

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Cited by 26 publications
(11 citation statements)
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“…The stored/released energy due to microstructure configurational changes and permanent deformations under cyclic loading has proved to be a key parameter in quantifying fatigue damage. Considering the energetic nature of this metric, thermodynamics of solids can be used as a strong platform to connect the state/internal variables and the associated forces for quantification of fatigue damage 90–96 . The second law of thermodynamics, as expressed by Clasius–Duhem, states that the irreversible cyclic damage can be related to the accumulated entropy of fatigue when the temperature evolution of the solid is known.…”
Section: Microstructure‐sensitive Studies Using Statistical Representationmentioning
confidence: 99%
“…The stored/released energy due to microstructure configurational changes and permanent deformations under cyclic loading has proved to be a key parameter in quantifying fatigue damage. Considering the energetic nature of this metric, thermodynamics of solids can be used as a strong platform to connect the state/internal variables and the associated forces for quantification of fatigue damage 90–96 . The second law of thermodynamics, as expressed by Clasius–Duhem, states that the irreversible cyclic damage can be related to the accumulated entropy of fatigue when the temperature evolution of the solid is known.…”
Section: Microstructure‐sensitive Studies Using Statistical Representationmentioning
confidence: 99%
“…In fact, it has been shown 14,47,48 that the total accumulated entropy generated measured from the pristine material until the onset of failure is a material property. Using entropy as a damage metric also has been shown to forecast reliable results for the prediction of fatigue life 8,49,50 . The accumulated entropy from the start of the cyclic load ( t = 0) until the failure time ( t = t f ) can be obtained by integrating Equation 21: FFE=0tftrueẇpTitalicdt where FFE is known as the fracture fatigue entropy (FFE), a parameter that is independent of load, frequency, and specimen geometry 14 .…”
Section: Theory and Formulationmentioning
confidence: 99%
“…7 Over time, based on empirical measurements that characterize different loading features (e.g., mean stress, load frequency, or load ratio), new methods have been developed that improve the theoretical predictions. [8][9][10] Significant progress has also been reported using a thermodynamic framework to assess material degradation. Basaran and Nie introduced a damage mechanism for solid materials based on thermodynamic principles that use entropy as a single parameter in estimating damage degree.…”
Section: Introductionmentioning
confidence: 99%