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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Materials Map under construction

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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1.080 Topics available

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977 Locations available

693.932 PEOPLE
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Polyzos, Efstratios

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024Analytical probabilistic progressive damage modeling of single composite filaments of material extrusion1citations
  • 2023Stochastic semi-analytical modeling of reinforced filaments for additive manufacturing9citations
  • 2023An Open-Source ABAQUS Plug-In for Delamination Analysis of 3D Printed Composites4citations
  • 2023Mode I, mode II and mixed mode I-II delamination of carbon fibre-reinforced polyamide composites 3D-printed by material extrusion13citations
  • 2023Extension–bending coupling phenomena and residual hygrothermal stresses effects on the Energy Release Rate and mode mixity of generally layered laminates2citations
  • 2023Measuring and Predicting the Effects of Residual Stresses from Full-Field Data in Laser-Directed Energy Deposition4citations
  • 2022Modeling elastic properties of 3D printed composites using real fibers29citations
  • 2021Analytical model for the estimation of the hygrothermal residual stresses in generally layered laminates17citations
  • 2021Delamination analysis of 3D-printed nylon reinforced with continuous carbon fibers45citations
  • 2021Numerical modelling of the elastic properties of 3D-printed specimens of thermoplastic matrix reinforced with continuous fibres69citations

Places of action

Chart of shared publication
Vereroudakis, E.
1 / 1 shared
Malefaki, S.
1 / 2 shared
Pyl, Lincy
10 / 60 shared
Vlassopoulos, D.
1 / 6 shared
Van Hemelrijck, Danny
10 / 126 shared
Katalagarianakis, Amalia
2 / 6 shared
Ertveldt, Julien
1 / 16 shared
Mäckel, Peter
1 / 1 shared
Pulju, Hendrik
1 / 1 shared
Hinderdael, Michaël
1 / 22 shared
Chart of publication period
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Co-Authors (by relevance)

  • Vereroudakis, E.
  • Malefaki, S.
  • Pyl, Lincy
  • Vlassopoulos, D.
  • Van Hemelrijck, Danny
  • Katalagarianakis, Amalia
  • Ertveldt, Julien
  • Mäckel, Peter
  • Pulju, Hendrik
  • Hinderdael, Michaël
OrganizationsLocationPeople

article

Modeling elastic properties of 3D printed composites using real fibers

  • Polyzos, Efstratios
  • Pyl, Lincy
  • Van Hemelrijck, Danny
Abstract

The microstructure of 3D printed composites is inherently different than traditional composites due to the manufacturing process. The differences influence morphological characteristics such as the contour of the cross-section of the fiber and alter the macroscopic behavior of 3D printed parts. This article investigates the microstructural morphology of 3D printed nylon reinforced with continuous carbon fibers and the effect of microstructural irregularities on the macrostructural elastic response through stochastic homogenization modeling. The contour of the carbon fibers is extracted from scanning electron microscopy (SEM) micrographs available in the literature and used to generate realistic and ideal (ellipsoidal, circular) contours in a stochastic manner using a newmethodology. Furthermore, a novel method is introduced to generate single- and multiple-fiber representative volume elements (RVEs) in finite element (FE) software for the approximation of the effective elastic properties. To minimize the computational effort associated with the full numerical modeling of multiple-fiber RVEs, anovel semi-analytical approach is demonstrated based on the numerical estimation of stiffness contribution tensors and the implementation of analytical effective field methods. The results of the numerical and semi-analytical models are compared with analytical models and exhibit a good agreement.

Topics
  • impedance spectroscopy
  • microstructure
  • morphology
  • Carbon
  • scanning electron microscopy
  • composite
  • homogenization