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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2023Numerical investigation of the magnetic alignment of Fe-Co-coated single reinforcement fibers1citations
  • 2022Numerical investigation of the orientability of single reinforcement fibers in polymer matrices7citations
  • 2022Influence of the Current Regime during Electrodeposition in a Cr(III)-Containing Fe-Cr-Ni Electrolyte on the Near-Surface pH, Alloy Composition, and Microcrack Behavior4citations
  • 2022Electrodeposition of Thick and Crack-Free Fe-Cr-Ni Coatings from a Cr (III) Electrolyte13citations
  • 2021Irregular Electrodeposition of Cu-Sn Alloy Coatings in [EMIM]Cl Outside the Glove Box with Large Layer Thickness5citations
  • 2021Stabilization of the Computation of Stability Constants and Species Distributions from Titration Curves5citations
  • 2020Simultaneous Electrodeposition of Silver and Tungsten from [EMIm]Cl:AlCl3 Ionic Liquids outside the Glove Box2citations
  • 2019Cost-efficient and reach-compliant surface treatment of bipolar platescitations

Places of action

Chart of shared publication
Lampke, Thomas
8 / 388 shared
Dittes, Axel
2 / 7 shared
Xu, Yun
2 / 3 shared
Winkler, Anja
2 / 51 shared
Modler, Nils
2 / 355 shared
Helwig, Martin
2 / 6 shared
Gude, Mike
2 / 775 shared
Dohmen, Eike
1 / 7 shared
Mehner, Thomas
6 / 21 shared
Meinhold, Vanessa
2 / 3 shared
Lehmann, Lars
1 / 1 shared
Schwoebel, Stephan Daniel
1 / 2 shared
Scharf, Ingolf
2 / 13 shared
Müller, Markus
1 / 1 shared
Maier, Hans Jürgen
1 / 99 shared
Holländer, Ulrich
1 / 4 shared
Chart of publication period
2023
2022
2021
2020
2019

Co-Authors (by relevance)

  • Lampke, Thomas
  • Dittes, Axel
  • Xu, Yun
  • Winkler, Anja
  • Modler, Nils
  • Helwig, Martin
  • Gude, Mike
  • Dohmen, Eike
  • Mehner, Thomas
  • Meinhold, Vanessa
  • Lehmann, Lars
  • Schwoebel, Stephan Daniel
  • Scharf, Ingolf
  • Müller, Markus
  • Maier, Hans Jürgen
  • Holländer, Ulrich
OrganizationsLocationPeople

article

Numerical investigation of the orientability of single reinforcement fibers in polymer matrices

  • Lampke, Thomas
  • Dittes, Axel
  • Dohmen, Eike
  • Xu, Yun
  • Winkler, Anja
  • Modler, Nils
  • Helwig, Martin
  • Höhlich, Dominik
  • Gude, Mike
Abstract

<p>Fiber-reinforced polymers are increasingly being used, especially in lightweight structures. Here, the effective adaptation of mechanical or physical properties to the necessary application or manufacturing requirements plays an important role. In this context, the alignment of reinforcing fibers is often hindered by manufacturing aspects. To achieve graded or locally adjusted alignment of different fiber lengths, common manufacturing technologies such as injection molding or compression molding need to be supported by the external non-mechanical process. Magnetic or electrostatic fields seem to be particularly suitable for this purpose. The present work shows a first simulation study of the alignment of magnetic particles in polymer matrices as a function of different parameters. The parameters studied are the viscosity of the surrounding polymer as a function of the focused processing methods, the fiber length, the thickness and permeability of the magnetic fiber coatings, and the magnetic flux density. The novelty of the presented works is in the development of an advanced simulation model that allows the simulative representation and reveal of the fluid–structure interaction, the influences of these parameters on the inducible magnetic torque and fiber alignment of a single fiber. Accordingly, the greatest influence on fiber alignment is caused by the magnetic flux density and the coating material.</p>

Topics
  • density
  • impedance spectroscopy
  • polymer
  • simulation
  • viscosity
  • permeability
  • injection molding
  • compression molding