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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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 (32/32 displayed)

  • 2024Generation and analysis of digital twins for CoDiCoFRP accounting for fiber length and orientation distributioncitations
  • 2024Assumed strain methods in micromechanics, laminate composite voxels and level sets5citations
  • 2024Convergence of Damped Polarization Schemes for the FFT-Based Computational Homogenization of Inelastic Media With Porescitations
  • 2024On the effectiveness of deep material networks for the multi-scale virtual characterization of short fiber-reinforced thermoplastics under highly nonlinear load cases1citations
  • 2024Generating microstructures of long fiber reinforced composites by the fused sequential addition and migration method3citations
  • 2023An orientation corrected shaking method for the microstructure generation of short fiber-reinforced composites with almost planar fiber orientation9citations
  • 2023Accounting for weak interfaces in computing the effective crack energy of heterogeneous materials using the composite voxel techniquecitations
  • 2023Homogenizing the viscosity of shear-thinning fiber suspensions with an FFT-based computational method3citations
  • 2023On fully symmetric implicit closure approximations for fiber orientation tensors8citations
  • 2023Generation and analysis of digital twins for CoDiCoFRP accounting for fiber length and orientation distributioncitations
  • 2023On the Phase Space of Fourth-Order Fiber-Orientation Tensors8citations
  • 2023Factors influencing the dynamic stiffness in short‐fiber reinforced polymerscitations
  • 2022On the impact of the mesostructure on the creep response of cellular NiAl-Mo eutectics7citations
  • 2022Representative volume elements for matrix-inclusion composites - a computational study on periodizing the ensemble33citations
  • 2022An algorithm for generating microstructures of fiber‐reinforced composites with long fiberscitations
  • 2022Probabilistic virtual process chain for process-induced uncertainties in fiber-reinforced compositescitations
  • 2022Multi-scale fatigue model to predict stiffness degradation in short-fiber reinforced compositescitations
  • 2022Solving phase-field models in the tensor train format to generate microstructures of bicontinuous composites4citations
  • 2022A computational multiscale model for anisotropic failure of sheet molding compound compositescitations
  • 2022A sequential addition and migration method for generating microstructures of short fibers with prescribed length distributioncitations
  • 2022Accounting for viscoelastic effects in a multiscale fatigue model for the degradation of the dynamic stiffness of short-fiber reinforced thermoplasticscitations
  • 2022Identifying material parameters in crystal plasticity by Bayesian optimization42citations
  • 2021The sequential addition and migration method to generate representative volume elements for the homogenization of short fiber reinforced plastics111citations
  • 2021An FE–DMN method for the multiscale analysis of short fiber reinforced plastic componentscitations
  • 2021A multiscale high-cycle fatigue-damage model for the stiffness degradation of fiber-reinforced materials based on a mixed variational frameworkcitations
  • 2021Computing the effective crack energy of heterogeneous and anisotropic microstructures via anisotropic minimal surfacescitations
  • 2021Identifying material parameters in crystal plasticity by Bayesian optimizationcitations
  • 2021A computational multi-scale model for the stiffness degradation of short-fiber reinforced plastics subjected to fatigue loading37citations
  • 2020Computational homogenization of sheet molding compound composites based on high fidelity representative volume elements41citations
  • 2019Material characterization and compression molding simulation of CF-SMC materials in a press rheometry test8citations
  • 2017The sequential addition and migration method to generate representative volume elements for the homogenization of short fiber reinforced plastics111citations
  • 2017Evaluating the Factors Influencing the Friction Behavior of Paperboard during the Deep Drawing Processcitations

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Chart of shared publication
Böhlke, Thomas
15 / 55 shared
Lauff, Celine
4 / 4 shared
Lendvai, Jonas
1 / 1 shared
Donval, Elodie
1 / 1 shared
Dey, Argha Protim
1 / 1 shared
Köbler, Jonathan
6 / 9 shared
Welschinger, Fabian
6 / 8 shared
Montesano, John
2 / 6 shared
Ernesti, Felix
2 / 2 shared
Wicht, Daniel
2 / 4 shared
Sterr, Benedikt
1 / 1 shared
Hrymak, Andrew
3 / 15 shared
Karl, Tobias
1 / 4 shared
Bauer, Julian Karl
1 / 6 shared
Magino, Nicola
5 / 6 shared
Andrä, Heiko
6 / 19 shared
Müller, Ralf
5 / 47 shared
Heilmaier, Martin
1 / 247 shared
Kauffmann, Alexander
1 / 53 shared
Otto, Felix
1 / 13 shared
Josien, Marc
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Görthofer, Johannes
3 / 8 shared
Henning, Frank
1 / 83 shared
Meyer, Nils
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Kärger, Luise
1 / 86 shared
Gajek, Sebastian
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Risthaus, Lennart
1 / 1 shared
Hrymak, A.
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Mehta, Alok
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Kuhn, Jannick
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Sonnweber-Ribic, Petra
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Spitz, Jonathan
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Ospald, Felix
1 / 2 shared
Hausmann, Joachim M.
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Schommer, Dominic
1 / 3 shared
Steiner, Konrad
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Romanenko, Vitali
1 / 1 shared
Duhovic, Miro
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Penter, Lars
1 / 8 shared
Hauptmann, Marek
1 / 5 shared
Lenske, Alexander
1 / 2 shared
Majschak, Jens-Peter
1 / 9 shared
Müller, Tobias
1 / 16 shared
Chart of publication period
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2023
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Co-Authors (by relevance)

  • Böhlke, Thomas
  • Lauff, Celine
  • Lendvai, Jonas
  • Donval, Elodie
  • Dey, Argha Protim
  • Köbler, Jonathan
  • Welschinger, Fabian
  • Montesano, John
  • Ernesti, Felix
  • Wicht, Daniel
  • Sterr, Benedikt
  • Hrymak, Andrew
  • Karl, Tobias
  • Bauer, Julian Karl
  • Magino, Nicola
  • Andrä, Heiko
  • Müller, Ralf
  • Heilmaier, Martin
  • Kauffmann, Alexander
  • Otto, Felix
  • Josien, Marc
  • Görthofer, Johannes
  • Henning, Frank
  • Meyer, Nils
  • Kärger, Luise
  • Gajek, Sebastian
  • Risthaus, Lennart
  • Hrymak, A.
  • Mehta, Alok
  • Kuhn, Jannick
  • Sonnweber-Ribic, Petra
  • Spitz, Jonathan
  • Ospald, Felix
  • Hausmann, Joachim M.
  • Schommer, Dominic
  • Steiner, Konrad
  • Romanenko, Vitali
  • Duhovic, Miro
  • Penter, Lars
  • Hauptmann, Marek
  • Lenske, Alexander
  • Majschak, Jens-Peter
  • Müller, Tobias
OrganizationsLocationPeople

document

Generation and analysis of digital twins for CoDiCoFRP accounting for fiber length and orientation distribution

  • Böhlke, Thomas
  • Lauff, Celine
  • Schneider, Matti
Abstract

We present an adaption of the Orientation Corrected Shaking (OCS) method, originally developed for discontinuous short fiber-reinforced polymers, for generating continuous discontinuous fiberreinforced polymers. Due to the combination of continuous and discontinuous reinforced phases, the interface between the two layers needs to be accounted for in a realistic way. The material flow during compression molding of CoDiCoFRP leads to ply migration at the interface resulting in an interlinked region between the layers, which is observable in 3D imaging. To account for this type of interface, we adapt the OCS method to enforce soft constraints for the fibers, i.e., a fiber’s midpoint but not the entire fiber is constrained to its respective layer. Hence, at the interface fibers may penetrate the opposite phase, providing a link between the phases. In a computational study, we generate CoDiCoFRP with the OCS method and investigate whether the selection of the fiber length distribution type for given volumeweighted mean ᵅA and standard deviation ᵆ0 influences the effective stiffness of the generated microstructures. For Weibull, Gamma and log-normal distribution the results almost coincide, with differences smaller than 0.5%, revealing that for these cases the statistical quantities ᵅA and ᵆ0 are the only important descriptors to model the fiber length distribution.

Topics
  • impedance spectroscopy
  • microstructure
  • polymer
  • phase
  • compression molding