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An Efficient Algorithm to Include Sub-Voxel Data in FFT-Based Homogenization for Heat Conductivity

  • Dennis MerkertEmail author
  • Heiko Andrä
  • Matthias Kabel
  • Matti Schneider
  • Bernd Simeon
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 105)

Abstract

The FFT-based homogenization method introduced by Moulinec–Suquet (C R Acad Sci. II, Méc Phys Chim Astron 318(11):1417–1423, 1994; Comput Methods Appl Mech Eng 157(1–2):69–94, 1998) has recently emerged as a powerful tool for numerical homogenization on regular voxel grids. Unfortunately, the treatment of voxels occupied by multiple materials is not discussed in the original method.

In this article and in the context of effective heat conductivity, we propose to furnish the interfacial voxels with appropriately chosen microstructural material estimates. These so-called composite voxels take into account volume fractions and normal data, and lead to drastic improvement of the local solution quality and the accuracy of the computed effective properties, shown by numerical experiments on a microstructure with analytical solution and a composite of industrial interest.

Keywords

Boron Nitride Conjugate Gradient Method Voxel Image Effective Heat Conductivity Effective Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Matti Schneider gratefully acknowledges financial support by the German Research Foundation (DFG), Federal Cluster of Excellence EXC 1075 “MERGE Technologies for Multifunctional Lightweight Structures”.

The authors are deeply indebted to Inga Shklyar for help with the Abaqus computations.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Dennis Merkert
    • 1
    Email author
  • Heiko Andrä
    • 2
  • Matthias Kabel
    • 2
  • Matti Schneider
    • 3
  • Bernd Simeon
    • 1
  1. 1.University of KaiserslauternKaiserslauternGermany
  2. 2.Fraunhofer ITWMKaiserslauternGermany
  3. 3.University of ChemnitzChemnitzChemnitz

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