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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Gerritzen, Johannes

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2024Graph based process models as basis for efficient data driven surrogates - Expediting the material development processcitations
  • 2024A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP1citations
  • 2023Modelling delamination in fibre-reinforced composites subjected to through-thickness compression by an adapted cohesive lawcitations
  • 2023Development and verification of a cure-dependent visco-thermo-elastic simulation model for predicting the process-induced surface waviness of continuous fiber reinforced thermosets5citations
  • 2023Modelling of composite manufacturing processes incorporating large fibre deformations and process parameter interactionscitations
  • 2022A Data Driven Modelling Approach for the Strain Rate Dependent 3D Shear Deformation and Failure of Thermoplastic Fibre Reinforced Composites: Experimental Characterisation and Deriving Modelling Parameters6citations
  • 2022Development of a high-fidelity framework to describe the process-dependent viscoelasticity of a fast-curing epoxy matrix resin including testing, modelling, calibration and validation5citations
  • 2021Contribution to Digital Linked Development, Manufacturing and Quality Assurance Processes for Metal-Composite Lightweight Structures3citations
  • 2020Robust development, validation and manufacturing processes for hybrid metal-composite lightweight structurescitations

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Chart of shared publication
Hornig, Andreas
6 / 47 shared
Gude, Mike
9 / 775 shared
Winkler, Peter
1 / 2 shared
Wiegand, Jens
1 / 3 shared
Kuhtz, Moritz
1 / 25 shared
Hopmann, Ch.
1 / 1 shared
Müller-Pabel, Michael
2 / 34 shared
Fischer, K.
1 / 8 shared
Wang, A.
1 / 7 shared
Gröger, Benjamin
4 / 14 shared
Lorenz, N.
1 / 4 shared
Müller, J.
1 / 24 shared
Protz, Richard
1 / 11 shared
Eckardt, Simon
1 / 4 shared
Kunze, Eckart
1 / 13 shared
Gelencsér, Anton
1 / 3 shared
Gerritzen, J.
1 / 6 shared
Hornig, A.
1 / 54 shared
Gröger, B.
1 / 17 shared
Hopmann, Christian
1 / 17 shared
Lorenz, Niklas
1 / 3 shared
Müller, Jonas
1 / 5 shared
Krahl, Michael
2 / 19 shared
Haider, Daniel R.
2 / 2 shared
Folprecht, Fabian
2 / 6 shared
Spitzer, Sebastian
2 / 28 shared
Langkamp, Albert
1 / 42 shared
Schulze, Martin
1 / 3 shared
Heuer, Henning
1 / 12 shared
Hillmann, Susanne
1 / 5 shared
Opitz, Jörg
1 / 9 shared
Kopyczinska-Müller, Malgorzata
1 / 1 shared
Köhler, Bernd
1 / 8 shared
Chart of publication period
2024
2023
2022
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2020

Co-Authors (by relevance)

  • Hornig, Andreas
  • Gude, Mike
  • Winkler, Peter
  • Wiegand, Jens
  • Kuhtz, Moritz
  • Hopmann, Ch.
  • Müller-Pabel, Michael
  • Fischer, K.
  • Wang, A.
  • Gröger, Benjamin
  • Lorenz, N.
  • Müller, J.
  • Protz, Richard
  • Eckardt, Simon
  • Kunze, Eckart
  • Gelencsér, Anton
  • Gerritzen, J.
  • Hornig, A.
  • Gröger, B.
  • Hopmann, Christian
  • Lorenz, Niklas
  • Müller, Jonas
  • Krahl, Michael
  • Haider, Daniel R.
  • Folprecht, Fabian
  • Spitzer, Sebastian
  • Langkamp, Albert
  • Schulze, Martin
  • Heuer, Henning
  • Hillmann, Susanne
  • Opitz, Jörg
  • Kopyczinska-Müller, Malgorzata
  • Köhler, Bernd
OrganizationsLocationPeople

article

Development and verification of a cure-dependent visco-thermo-elastic simulation model for predicting the process-induced surface waviness of continuous fiber reinforced thermosets

  • Gerritzen, Johannes
  • Hopmann, Ch.
  • Müller-Pabel, Michael
  • Fischer, K.
  • Wang, A.
  • Gröger, Benjamin
  • Lorenz, N.
  • Müller, J.
  • Gude, Mike
Abstract

<p>Process-induced surface waviness effects represent a major concern for series production of high-quality lightweight structures based on fiber reinforced plastics (FRP). This paper suggests a method for the numerical prediction of these effects by using the example of processing glass fiber reinforced plastics (GFRP) in a resin transfer molding (RTM) process. The influence of reaction kinetics, chemical shrinkage and cure-dependent viscoelastic properties of the resin are taken into account. Furthermore, the dependence of surface quality on curing cycle, consolidation pressure, textile architecture and thickness of neat resin layer (NRL) at the part surface are investigated. The work is based on published material data and a visco-thermo-elastic simulation approach which has been previously presented and validated. All numerical results are compared to the surfaces of FRP plates that were manufactured with the corresponding parameter variations. Based on a literature survey, different surface waviness values have been identified for comparison of experimental and numerical results. Satisfactory agreement between experiments and simulations is found. Furthermore, it is shown that the analyzed NRL thickness has no relevant influence on the surface waviness while the curing temperature significantly affects the surface waviness. The role of relaxation-induced change of the surface waviness is highlighted by performing long-term measurements and corresponding time-dependent simulations. It is concluded that relaxation plays a decisive role in the appropriate selection of the subsequent surface finishing process. The suggested simulation approach provides a basis for optimization strategies to improve surface quality and reduce post-processing effort.</p>

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • simulation
  • glass
  • glass
  • resin
  • thermoset
  • curing