Abstract
In this paper we describe the potential of employing the concept of thermodynamic entropy generation to assess degradation in processes involving metal fatigue. It is shown that empirical fatigue models such as Miner’s rule, Coffin-Manson equation, and Paris law can be deduced from thermodynamic consideration.
Highlights
Fatigue due to cyclic loading is one of the most predominant modes of failure in a diverse array of man-made components and natural systems
Given that a fatigue process is always accompanied by transformation of energy, it is logical to attempt at developing a thermodynamic framework for studying its characteristics
In this paper we show that fatigue degradation and entropy generation are intimately related and that their relationship can be used for prediction of failure and making fundamental advances in the study of fatigue without having to resort to traditional approaches that depend on empirical models
Summary
Fatigue due to cyclic loading is one of the most predominant modes of failure in a diverse array of man-made components and natural systems. Given that a fatigue process is always accompanied by transformation of energy, it is logical to attempt at developing a thermodynamic framework for studying its characteristics. Energy dissipation represents an irreversible phenomenon, making the concept of thermodynamic entropy production an ideal tool for probing into its behavior [1]. In this paper we show that fatigue degradation and entropy generation are intimately related and that their relationship can be used for prediction of failure and making fundamental advances in the study of fatigue without having to resort to traditional approaches that depend on empirical models
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