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

Sandberg, Michael

  • Google
  • 10
  • 17
  • 157

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing5citations
  • 2023Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturing18citations
  • 2023Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturing18citations
  • 2023Flow-Induced Fibre Compaction in a Resin-Injection Pultrusion Processcitations
  • 2023Numerical modeling of fiber orientation in additively manufactured composites6citations
  • 2023Numerical modeling of fiber orientation in additively manufactured composites6citations
  • 2021Material characterization of a pultrusion specific and highly reactive polyurethane resin system: Elastic modulus, rheology, and reaction kinetics41citations
  • 2021Material characterization of a pultrusion specific and highly reactive polyurethane resin system41citations
  • 2021Mesoscale process modeling of a thick pultruded composite with variability in fiber volume fraction18citations
  • 2020Numerical and experimental analyses in composites processing: impregnation, heat transfer, resin cure and residual stresses4citations

Places of action

Chart of shared publication
Spangenberg, Jon
7 / 76 shared
Mollah, Md. Tusher
3 / 17 shared
Pokkalla, Deepak Kumar
3 / 5 shared
Šeta, Berin
5 / 7 shared
Brander, Marco
5 / 9 shared
Kumar, Vipin
5 / 14 shared
Pokkalla, Deepak
2 / 2 shared
Tusher Mollah, Md.
1 / 1 shared
Hattel, Jh
3 / 160 shared
Mollah, Tusher
1 / 1 shared
Ersoy, Nuri
2 / 10 shared
Yuksel, Onur
3 / 12 shared
Hattel, Jesper H.
2 / 11 shared
Akkerman, Remko
3 / 423 shared
Baran, Ismet
2 / 13 shared
Baran, Isnet
1 / 29 shared
Salling, Filip Bo
1 / 1 shared
Chart of publication period
2024
2023
2021
2020

Co-Authors (by relevance)

  • Spangenberg, Jon
  • Mollah, Md. Tusher
  • Pokkalla, Deepak Kumar
  • Šeta, Berin
  • Brander, Marco
  • Kumar, Vipin
  • Pokkalla, Deepak
  • Tusher Mollah, Md.
  • Hattel, Jh
  • Mollah, Tusher
  • Ersoy, Nuri
  • Yuksel, Onur
  • Hattel, Jesper H.
  • Akkerman, Remko
  • Baran, Ismet
  • Baran, Isnet
  • Salling, Filip Bo
OrganizationsLocationPeople

article

Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturing

  • Spangenberg, Jon
  • Sandberg, Michael
  • Mollah, Md. Tusher
  • Šeta, Berin
  • Pokkalla, Deepak
  • Brander, Marco
  • Kumar, Vipin
Abstract

The fiber orientation in composite materials is highly dependent on the manufacturing process and plays a crucial role in determining the mechanical, thermal, and electrical properties of the fabricated parts. Several simulation frameworks have been developed to predict the fiber orientation in the printed strands for Material EXtrusion Additive Manufacturing (MEX-AM) process, but studies have been limited to planar and 2D model reductions. Consequently, it is currently impossible to predict the full spatial variation of fiber orientations in a three-dimensional printed strand, and thus the effects of printing conditions remain not well understood. This work seeks to address this issue by introducing the first three-dimensional model capable of simulating the MEX-AM process with fiber-reinforcements. A fully coupled model is developed in this work, which is based on the finite-volume method and solved in the open-source multiphase solver OpenFOAM. Using this framework, we explored the effects of different printing conditions on fiber orientation and strand shape morphology, and we compared our results to experimental observations when possible. We found that the extrusion and nozzle velocities significantly affected the fiber orientation while altering the gap distance between the nozzle exit and substrate had a limited impact. Moreover, increasing anisotropy using longer fibers and higher volume fractions had little influence on the fiber orientation, but their impact on the rheology altered the strand shape considerably. Prediction of fiber orientation for different printing conditions within strands will open the possibility of manufacturing products that has locally engineered properties and tailored anisotropic behavior.

Topics
  • impedance spectroscopy
  • simulation
  • extrusion
  • anisotropic
  • composite
  • material extrusion