Abstract

This paper evaluates the damage evolution process under extremely low-cycle fatigue (ELCF). The study explores the damage behavior under different stress states. The influence of the multiaxial state of stress on the metal’s life is determined. Two different stress states were examined: (a) axisymmetric and (b) plane-strain. The study is based on the modified Mohr–Coulomb (MMC) ductile fracture criterion that was extended to cover the ELCF regime in a previous research study. Four distinctive geometries are designed to study the effect of different stress states on ELCF life and damage evolution. The damage model is calibrated for life prediction to agree with the ELCF experimental results. The investigation of the damage evolution behavior is dependent on equivalent plastic strain, stress triaxiality, Lode angle, and cyclic loading effect. The damage evolution is extracted from Abaqus finite element simulations and plotted versus the equivalent plastic strain. The damage accumulation shows nonlinear evolution behavior under cyclic loading conditions. SEM images were taken to further study the microscopic failure mechanisms of ELCF.

Highlights

  • Extreme dynamic and fatigue loadings are very common in engineering product designs.For example, during the shutdown and startup operations, engines and machine components are highly susceptible to this type of loading

  • During the shutdown and startup operations, engines and machine components are highly susceptible to this type of loading. It commonly causes engines and machine components to fail due to very high strain cyclic loading, referred to as extremely low-cycle fatigue (ELCF)

  • This paper aims to predict, understand, and evaluate damage evolution during multiaxial high strain cyclic loading based on experimental results of Inconel 718 undergoing high strain push–pull cyclic loading conditions

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Summary

Introduction

During the shutdown and startup operations, engines and machine components are highly susceptible to this type of loading. It commonly causes engines and machine components to fail due to very high strain cyclic loading, referred to as extremely low-cycle fatigue (ELCF). Predicting, understanding, and evaluating the damage evolution caused by ELCF with a suitable mathematical model is crucial and challenging. The parameters in such a model should consider the complex geometries of the machine parts, the applied loading conditions, and the material properties

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