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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Lublin University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Fast Statistical Homogenization Procedure for estimation of eec- tive properties of Ceramic Matrix Composites (CMC) with random microstructurecitations
  • 2018Parametric study of geometry effect on response to applied loadings of metallic honeycomb structures by virtual testing of mesoscale modelscitations

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Bellis, Maria Laura De
1 / 7 shared
Pingaro, Marco
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Trovalusci, Patrizia
1 / 10 shared
Reccia, Emanuele
1 / 8 shared
Pietras, Daniel
1 / 1 shared
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2022
2018

Co-Authors (by relevance)

  • Bellis, Maria Laura De
  • Pingaro, Marco
  • Trovalusci, Patrizia
  • Reccia, Emanuele
  • Pietras, Daniel
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document

Fast Statistical Homogenization Procedure for estimation of eec- tive properties of Ceramic Matrix Composites (CMC) with random microstructure

  • Bellis, Maria Laura De
  • Pingaro, Marco
  • Trovalusci, Patrizia
  • Sadowski, Tomasz
  • Reccia, Emanuele
Abstract

The modern polycrystalline composite materials have a complex internal structure consisting of different phases and interfaces with random distribution. Relevant examples are Al<sub>2</sub>O<sub>3</sub>/ZrO<sub>2</sub>, i.e. alumina/zirconia composites, widely used as structural materials with applications ranging from aerospace to bio-engineering. Depending on the phases content and on the grain size a broad range of material characteristics, among which elastic constants, can be obtained.<br> With the aim of characterizing this class of materials, we exploit a numerical Fast Statistical Homogenization Procedure (FSHP) in order to both estimate the size of the Representative Volume Elements (RVE) and the effective elastic properties, assuming a linear elastic material behaviour. The 2-D analyses are performed considering a microstructure inspired by images of real portions of the Al<sub>2</sub>O<sub>3</sub>/ZrO<sub>2</sub> composite obtained from a scanning electron microscope. The recent Virtual Element Method is used in combination with the FSHP approach to numerically solve boundary value problems. Different volume contents of phases are considered ranging from pure Alumina to pure zirconia. The results are useful to reliably characterize such materials in the elastic range taking into account the role played by random distribution of grains.

Topics
  • impedance spectroscopy
  • grain
  • grain size
  • phase
  • composite
  • random
  • ceramic
  • homogenization