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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977 Locations available

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Aalborg University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (19/19 displayed)

  • 2024That’s how the preform crumples: Wrinkle creation during forming of thick binder-stabilised stacks of non-crimp fabrics6citations
  • 2023A matter of course6citations
  • 2023A matter of course:Generating optimal manufacturing instructions from a structural layup plan of a wind turbine blade6citations
  • 2022Simulation of Wrinkling during Forming of Binder Stabilized UD-NCF Preforms in Wind Turbine Blade Manufacturing7citations
  • 2022Comprehending the Bending: A Comparison of Different Test Setups for Measuring the Out-of-Plane Flexural Rigidity of a UD Fabric6citations
  • 2022It‘s on a Roll: Draping Courses of Glass Fiber Fabric in a Wind Turbine Blade Mold by Means of Optimizationcitations
  • 2021A simple MATLAB draping code for fiber-reinforced composites with application to optimization of manufacturing process parameters20citations
  • 2021Pure and simple:investigating the in-plane shear kinematics of a quasi-unidirectional glass fiber non-crimp fabric using the bias-extension test13citations
  • 2020Design of Automated Robotic System for Draping Prepreg Composite Fabrics12citations
  • 2020Design of Automated Robotic System for Draping Prepreg Composite Fabrics12citations
  • 2020Will it Crease or Cease? A study of Debulking of Air Pockets in Automated Prepreg Composite Layup3citations
  • 2020Will it Crease or Cease?:A study of debulking of air pockets in automated prepreg composite layup3citations
  • 2019The Issue of the Tissue:Determining Feasible Robot Draping Sequences for Woven Prepreg Pliescitations
  • 2019Generation of Feasible Gripper Trajectories in Automated Composite Draping by means of Optimization6citations
  • 2019256 shades of gray1citations
  • 2019Investigation of shear characterization of a UHMWPE unidirectional cross-ply for finite element simulation of composite processing2citations
  • 2019256 shades of gray:Application of image processing to evaluate the effect of sample geometry and constant shear strain rates in the picture-frame test1citations
  • 2019The Issue of the Tissuecitations
  • 2017Modeling of Prepregs during Automated Draping Sequencescitations

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Chart of shared publication
Belnoue, Jonathan P.-H.
1 / 35 shared
Lindgaard, Esben
3 / 21 shared
Bak, Brian L. V.
1 / 3 shared
Hallett, Stephen R.
1 / 270 shared
Thompson, Adam J.
1 / 13 shared
Broberg, Peter H.
1 / 3 shared
Kepler, Jørgen Asbøll
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Hermansen, Sebastian Malte
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Lund, Erik
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Jakobsen, Johnny
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Broberg, Peter Hede
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Bak, Brian Lau Verndal
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Olesen, Asbjørn Malte
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Kepler, Jørgen A.
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Glud, Jens Ammitzbøll
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Kristiansen, Ewa
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Hannemose, Morten
2 / 2 shared
Wilm, Jakob
4 / 5 shared
Ellekilde, Lars-Peter
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Kristiansen, Morten
2 / 12 shared
Stærk Stenvang, Thor
1 / 1 shared
Sveidahl, Ingolf
2 / 2 shared
Ikram, Asim
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Nielsen, Ole Wennerberg
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Petersen, Henrik Gordon
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Gunnarsson, Gudmundur Geir
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Aanæs, Henrik
2 / 5 shared
De Kruijk, Joakim
1 / 1 shared
Stenvang, Thor Stærk
1 / 1 shared
Kruijk, Joakim De
1 / 1 shared
Sherwood, James A.
4 / 5 shared
White, Kari D.
3 / 3 shared
Dangora, Lisa M.
2 / 2 shared
Chart of publication period
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Co-Authors (by relevance)

  • Belnoue, Jonathan P.-H.
  • Lindgaard, Esben
  • Bak, Brian L. V.
  • Hallett, Stephen R.
  • Thompson, Adam J.
  • Broberg, Peter H.
  • Kepler, Jørgen Asbøll
  • Hermansen, Sebastian Malte
  • Lund, Erik
  • Jakobsen, Johnny
  • Broberg, Peter Hede
  • Bak, Brian Lau Verndal
  • Olesen, Asbjørn Malte
  • Kepler, Jørgen A.
  • Glud, Jens Ammitzbøll
  • Kristiansen, Ewa
  • Hannemose, Morten
  • Wilm, Jakob
  • Ellekilde, Lars-Peter
  • Kristiansen, Morten
  • Stærk Stenvang, Thor
  • Sveidahl, Ingolf
  • Ikram, Asim
  • Nielsen, Ole Wennerberg
  • Petersen, Henrik Gordon
  • Gunnarsson, Gudmundur Geir
  • Aanæs, Henrik
  • De Kruijk, Joakim
  • Stenvang, Thor Stærk
  • Kruijk, Joakim De
  • Sherwood, James A.
  • White, Kari D.
  • Dangora, Lisa M.
OrganizationsLocationPeople

document

256 shades of gray

  • White, Kari D.
  • Jakobsen, Johnny
  • Dangora, Lisa M.
  • Sherwood, James A.
  • Krogh, Christian
Abstract

Shearing or trellising is recognized as the primary deformation mechanism in textile-reinforced composite forming processes. A popular method for characterization of the shear properties of a ply is the picture-frame test. The test setup involves the clamping of a cruciform shaped specimen in a frame hinged at its corners. During the processing of the test results, it is often assumed that the shear distribution in the central square of the sample is uniform, such that a shear force vs. shear angle relation can be calculated based on kinematics. One thing to note is that a constant displacement rate of the frame yields a nonlinear shear-strain rate throughout the test. Relying on Digital Image Correlation (DIC), this study considers two concepts in relation to the picture-frame test: First, the effect of sample geometry is tested, i.e. whether modifications of the standard cruciform shape influence the uniformness of the shear-strain field. Two different materials are considered: a woven carbon-fiber prepreg and a thermoplastic cross-ply sheet. Second, methods of obtaining constant shear rate data are explored. The methods involve programming of a universal testing machine with a multi-linear approximation of a nonlinear crosshead displacement rate and post-processing data obtained with a constant crosshead rate.

Topics
  • impedance spectroscopy
  • Carbon
  • composite
  • forming
  • deformation mechanism
  • thermoplastic
  • woven