Abstract

Herein, we describe in detail a methodology to estimate the effective elastic parameters of nodular cast iron, using micro-tomography in conjunction with multiscale finite elements. We discuss the adjustment of the image acquisition parameters, address the issue of the representative-volume choice, and present a brief discussion on image segmentation. In addition, the finite-element computational implementation developed to estimate the effective elastic parameters from segmented microstructural images is described, indicating the corresponding computational costs. We applied the proposed methodology to a nodular cast iron, and estimated the graphite elastic parameters through a comparison between the numerical and experimental results.

Highlights

  • Prior to the popularity of steel in construction, cast irons were the most widely used materials for such applications

  • Maximum), and silicon (1.7 to 2.8%). This type of cast iron is characterized by the presence of carbon, in the form of spheroidal graphite, in a ferritic or pearlitic matrix

  • A realistic geometric representation of the models in the present study was achieved by using X-ray micro-Computed tomography (CT)

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Summary

Introduction

Prior to the popularity of steel in construction, cast irons were the most widely used materials for such applications. The graphite phase within the nodular cast-iron matrix is in the form of small nodules, the size, shape, and arrangement of which control its effective mechanical properties, as illustrated in Fragassa et al [1]. Scanning techniques such as microscopy are commonly used to capture the microstructures of cast irons. The quantification of graphite nodules by these techniques is possible but poor, because they only provide 2-D information, which limits the interpretation of results Such models cannot provide a complete picture of the three-dimensional (3-D) cast-iron microstructures

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