Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys

Area of Science:

• Materials Science
• Mechanical Engineering
• Thermodynamics

Background:

• Fatigue life prediction traditionally relies on empirical models derived from experimental data.
• Material fatigue is understood as a continuous, irreversible degradation process.
• Existing methods often struggle with accuracy across diverse loading conditions.

Purpose of the Study:

• To apply unified mechanics theory for predicting the fatigue life of Ti-6Al-4V.
• To develop analytical and computational models for fatigue life assessment.
• To validate the use of fundamental thermodynamic principles in material degradation modeling.

Main Methods:

• Utilized unified mechanics theory to formulate a constitutive model.
• Developed a three-dimensional computational model for fatigue analysis.
• Applied analytical models based on material's fundamental equations and thermodynamics.

Main Results:

• Successfully predicted the low cycle fatigue life of Ti-6Al-4V alloys.
• Demonstrated the efficacy of unified mechanics theory across monotonic and cyclic loading.
• Validated the predictive capability of models rooted in material degradation thermodynamics.

Conclusions:

• Unified mechanics theory provides a robust framework for fatigue life prediction in Ti-6Al-4V.
• The developed models offer a more fundamental and potentially accurate alternative to empirical methods.
• Thermodynamics of material degradation is key to understanding and predicting fatigue behavior.