Abstract

Elastic-plastic porous materials experience an increase in the mean void volume fraction when they are subjected to cyclic loading. This behavior is known both from the experiments and simulations in the literature. The authors have first time used this mechanism for the evaluation of the fatigue life in nodular cast iron. In this contribution, the stress-life approach is presented for the characterization of fatigue failure. For this purpose, micromechanical finite-element simulations are carried out using the axisymmetric cell model. The cell model having isotropic/non-linear kinematic hardening behavior is subjected to fully reversed cyclic stress controlled loading. The finite element simulations are carried out cycle by cycle until the final failure of the cell model. The numbers of cycles to failure are extracted from the simulations. The stress-life curves are shown for spherical and elliptical graphite particle cell models. The results of the micromechanical simulations are in qualitative agreement with the typical experimental stress-life curves.

Highlights

  • Nodular cast iron (NCI) is an important ferrous material

  • NCI is different from the other types of cast iron in terms of the shape of the graphite particle

  • The nodular shape of graphite particle improves the mechanical properties like strength and toughness of cast iron

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Summary

Introduction

Nodular cast iron (NCI) is an important ferrous material It consists of graphite particles which are nodular in shape, and matrix. The nodular shape of graphite particle improves the mechanical properties like strength and toughness of cast iron. Costa et al [11] has suggested that casting defects, graphite nodules as defects, the distribution of defects in a area near the surface should be used as input parameters for the model to predict fatigue life in NCI. It leads to an overgrowth of the graphite nodules and chunky graphite It shows that the largest defects are involved in the fatigue damage, as the graphite shape has major influence on the fatigue damage of NCI.

Cell model
Methodology
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Summary and Outlook

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