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

Bernath, Alexander

  • Google
  • 10
  • 23
  • 139

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024Anisotropic warpage prediction of injection molded parts with phenolic matrixcitations
  • 2024Warpage modelling of carbon fibre reinforced SMC components in automotive applicationscitations
  • 2019Simulation of Reinforced Reactive Injection Molding with the Finite Volume Methodcitations
  • 2019Simulation methods for process design of structural composite componentscitations
  • 2019Experimental and numerical study of the spring-in of angled brackets manufactured using different resins and fiber textiles12citations
  • 2019Experimental and numerical study of the spring-in of angled brackets manufactured using different resins and fiber textiles12citations
  • 2018Simulation of Reinforced Reactive Injection Molding with the Finite Volume Method20citations
  • 2018Numerical and experimental investigation of manufacturing and performance of metal inserts embedded in CFRP10citations
  • 2018Experimental and numerical study of the influence of integrated load transmission elements on filling behavior in resin transfer molding23citations
  • 2016Accurate cure modeling for isothermal processing of fast curing epoxy resins62citations

Places of action

Chart of shared publication
Meyer, Nils
1 / 24 shared
Wittemann, Florian
3 / 20 shared
Kärger, Luise
7 / 86 shared
Krauß, Constantin
1 / 14 shared
Gorde, Shubham Shahaji
1 / 1 shared
Schmitz, Sabastian
1 / 1 shared
Suckfüll, Korbinian
1 / 1 shared
Olma, Marcel
1 / 2 shared
Henning, Frank
7 / 83 shared
Hohberg, Martin
2 / 16 shared
Maertens, Robert
2 / 16 shared
Schirmaier, Fabian
1 / 2 shared
Magagnato, Dino
2 / 3 shared
Galkin, Siegfried
1 / 5 shared
Dörr, Dominik
1 / 11 shared
Exner, W.
1 / 3 shared
Hühne, C.
1 / 7 shared
Groh, F.
1 / 1 shared
Fleischer, Jürgen
1 / 27 shared
Muth, Markus
1 / 2 shared
Schwennen, Jan
1 / 1 shared
Seuffert, Julian
2 / 12 shared
Weidenmann, Kay Andre
1 / 2 shared
Chart of publication period
2024
2019
2018
2016

Co-Authors (by relevance)

  • Meyer, Nils
  • Wittemann, Florian
  • Kärger, Luise
  • Krauß, Constantin
  • Gorde, Shubham Shahaji
  • Schmitz, Sabastian
  • Suckfüll, Korbinian
  • Olma, Marcel
  • Henning, Frank
  • Hohberg, Martin
  • Maertens, Robert
  • Schirmaier, Fabian
  • Magagnato, Dino
  • Galkin, Siegfried
  • Dörr, Dominik
  • Exner, W.
  • Hühne, C.
  • Groh, F.
  • Fleischer, Jürgen
  • Muth, Markus
  • Schwennen, Jan
  • Seuffert, Julian
  • Weidenmann, Kay Andre
OrganizationsLocationPeople

article

Simulation of Reinforced Reactive Injection Molding with the Finite Volume Method

  • Henning, Frank
  • Bernath, Alexander
  • Wittemann, Florian
  • Hohberg, Martin
  • Kärger, Luise
  • Maertens, Robert
Abstract

The reactive process of reinforced thermoset injection molding significantly influences the mechanical properties of the final composite structure. Therefore, reliable process simulation is crucial to predict the process behavior and relevant process effects. Virtual process design is thus highly important for the composite manufacturing industry for creating high quality parts. Although thermoset injection molding shows a more complex flow behavior, state of the art moldingsimulation software typically focusses on thermoplastic injection molding. To overcome this gap in virtual process prediction, the present work proposes a finite volume (FV) based simulation method, which models the multiphase flow with phase-dependent boundary conditions. Compared to state-of-the-art Finite-Element-based approaches, Finite-Volume-Method (FVM) provides more adequate multiphase flow modeling by calculating the flow at the cell surfaces with an Eulerian approach. The new method also enables the description of a flow region with partial wall contact.Furthermore, fiber orientation, curing and viscosity models are used to simulate the reinforced reactive injection molding process. The open source Computational-Fluid-Dynamics (CFD) toolbox OpenFOAM is used for implementation. The solver is validated with experimental pressure data recorded during mold filling. Additionally, the simulation results are compared to commercial Finite-Element-Method software. The simulation results of the new FV-based CFD method fit well with the experimental data, showing that FVM has a high potential for modeling reinforced reactive injection molding.

Topics
  • impedance spectroscopy
  • surface
  • phase
  • simulation
  • composite
  • viscosity
  • injection molding
  • thermoset
  • thermoplastic
  • curing