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 (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

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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
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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

Numerical and experimental analyses in composites processing: impregnation, heat transfer, resin cure and residual stresses

  • Spangenberg, Jon
  • Hattel, Jh
  • Sandberg, Michael
  • Salling, Filip Bo
Abstract

This is a literature review of the published scientific results by the authors on numerical modelling and experimental characterization of composites processing with a focus on the resin injection pultrusion (RIP) process. Differential scanning calorimetry is used to obtain cure kinetic parameters for an epoxy resin system. The cure kinetic parameters are used for thermo-chemical simulations of the RIP process which are subsequently validated by temperature measurements. Scanning Electron Microscopy (SEM) and X-ray Computed Tomography (XCT) are used to characterize the microstructure of a glass fiber reinforced polyurethane profile. SEM was used to obtain the variation in cross-sectional fiber volume fraction and subsequently relating this variation to permeability. XCT was used to obtain individual fiber inclination and relating these inclinations to the observed reduction in longitudinal stiffness as proposed in literature by Herbert Krenchel. Considering multi-physics modelling of the RIP process two new state-of-the-art approaches are summarized in this work: i) a coupled flow-thermo-chemical model necessary for thick-section profiles, and ii) a steady state 3D-Eulerian approach for thermo-chemical-mechanical simulations showing a significant increase in computational performance compared with the traditional Lagrangian approach. Finally a study by Mortensen et al., on how to minimize residual stresses by minimizing the gelation temperature is reviewed.

Topics
  • impedance spectroscopy
  • microstructure
  • scanning electron microscopy
  • simulation
  • tomography
  • glass
  • glass
  • composite
  • permeability
  • differential scanning calorimetry
  • resin
  • gelation