Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Schreyer, Louis

  • Google
  • 4
  • 19
  • 2

Karlsruhe Institute of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Rheological characterization and macroscopic modeling and simulation of the molding process of a PA6 Glass Mat Thermoplastic (GMT)2citations
  • 2024Continuous Simulation of a Continuous-Discontinuous Fiber Reinforced Thermoplastic (CoDiCoFRTP) Compression Molding Processcitations
  • 2023Continuous simulation of a continuous-discontinuous fiber-reinforced thermoplastic (CODICOFRTP) Compression molding processcitations
  • 2022Generation of Initial Fiber Orientation States for Long Fiber Reinforced Thermoplastic Compression Molding Simulationcitations

Places of action

Chart of shared publication
Henning, Frank
1 / 83 shared
Straatman, Anthony G.
1 / 1 shared
Gergely, Ryan C. R.
1 / 1 shared
Singh-Heer, Navraj
1 / 1 shared
Dörr, Dominik
1 / 11 shared
Hrymak, Andrew
2 / 15 shared
Krauß, Constantin
2 / 14 shared
Böhlke, Thomas
2 / 55 shared
Scheuring, Benedikt M.
2 / 6 shared
Blarr, Juliane
3 / 7 shared
Liebig, W. V.
1 / 1 shared
Kärger, Luise
3 / 86 shared
Weidenmann, K. A.
1 / 32 shared
Christ, Nicolas
2 / 4 shared
Weidenmann, Kay André
1 / 34 shared
Liebig, Wilfried V.
1 / 29 shared
Hrymak, Andrew Nick
1 / 2 shared
Meyer, Nils
1 / 24 shared
Höger, Katja
1 / 3 shared
Chart of publication period
2024
2023
2022

Co-Authors (by relevance)

  • Henning, Frank
  • Straatman, Anthony G.
  • Gergely, Ryan C. R.
  • Singh-Heer, Navraj
  • Dörr, Dominik
  • Hrymak, Andrew
  • Krauß, Constantin
  • Böhlke, Thomas
  • Scheuring, Benedikt M.
  • Blarr, Juliane
  • Liebig, W. V.
  • Kärger, Luise
  • Weidenmann, K. A.
  • Christ, Nicolas
  • Weidenmann, Kay André
  • Liebig, Wilfried V.
  • Hrymak, Andrew Nick
  • Meyer, Nils
  • Höger, Katja
OrganizationsLocationPeople

document

Generation of Initial Fiber Orientation States for Long Fiber Reinforced Thermoplastic Compression Molding Simulation

  • Meyer, Nils
  • Höger, Katja
  • Blarr, Juliane
  • Schreyer, Louis
  • Kärger, Luise
Abstract

The prediction of the fiber orientation state (FOS) is of utmost interest for compression molded long fiber reinforced thermoplastics as the part's properties strongly depend on it. Besides the position of the initial plastificate in the mold cavity and the process settings, detailed knowledge of the initial FOS is essential. During compounding, the fibers align depending on the extruder screw configuration yielding a non-uniform local FOS. For process simulation, a common approach is to neglect this effect and assume an isotropic or planar-isotropic FOS of the initial plastificate. A more sophisticated approach consists of micro-computed tomography (µCT-) scans of slices of the initial plastificate and the derivation of the initial FOS from the three-dimensional image data. This approach can yield accurate predictions but is quite cumbersome and expensive. In this paper, we present a novel approach to account for the FOS of the initial plastificate. The approach is motivated by experimental observations and based on geometric assumptions. Depending on the extruder type and the dimensions of the initial plastificate, the developed tool generates a three-dimensional data set containing the mesh information alongside the initial FOS in a tensorial representation. To investigate the influence of the initial FOS for different flow regimes, we conducted compression molding simulations on a planar part.

Topics
  • impedance spectroscopy
  • simulation
  • tomography
  • isotropic
  • thermoplastic
  • compression molding