Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Revisiting analytic shear-lag models for predicting creep in composite materialscitations
  • 2023Homogenizing the viscosity of shear-thinning fiber suspensions with an FFT-based computational method3citations
  • 2022On the impact of the mesostructure on the creep response of cellular NiAl-Mo eutectics7citations
  • 2022Efficient fast Fourier transform-based solvers for computing the thermomechanical behavior of applied materialscitations

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Heilmaier, Martin
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Dyck, Alexander
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Böhlke, Thomas
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Kauffmann, Alexander
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Sterr, Benedikt
1 / 1 shared
Hrymak, Andrew
1 / 15 shared
Schneider, Matti
2 / 32 shared
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2023
2022

Co-Authors (by relevance)

  • Heilmaier, Martin
  • Dyck, Alexander
  • Böhlke, Thomas
  • Kauffmann, Alexander
  • Sterr, Benedikt
  • Hrymak, Andrew
  • Schneider, Matti
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article

Homogenizing the viscosity of shear-thinning fiber suspensions with an FFT-based computational method

  • Wicht, Daniel
  • Böhlke, Thomas
  • Sterr, Benedikt
  • Hrymak, Andrew
  • Schneider, Matti
Abstract

In this work, we investigate the fiber orientation dependent viscosity of fiber suspensions using a computational homogenization method. To improve computational prediction capabilities for the viscosity of fiber suspensions, we extend an existing, Fast Fourier Transform based computational approach for fiber suspensions with linear viscous, i.e., Newtonian, matrix behavior to nonlinear viscous matrix behavior. Specifically, a Cross-type shear-thinning rheology is assumed for the matrix fluid. We employ composite voxels to lower resolution requirements and find through resolution studies that the resolution error decreases for certain shear rates. Furthermore, we conduct a volume element study and find that the representative volume element sizes for engineering considerations in a specific Newtonian case and the investigated Cross-type case are highly similar. For shear rates of engineering process interest we visualize the effective suspension viscosity in three dimensions and study the effects of the fiber volume fraction and the imposed macroscopic shear rate tensor on the suspension viscosity. We find that the elongational viscosity and the degree of anisotropy of the suspension viscosity vary stronger with the shear rate for higher fiber volume fractions. In a comparison with an analytical mean-field model for the suspension viscosity, the deviations between the computational and analytical results turn out to be substantial.

Topics
  • impedance spectroscopy
  • composite
  • viscosity
  • homogenization