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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693.932 PEOPLE
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University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023A comprehensive modelling framework for defect prediction in automated fibre placement of compositescitations
  • 2023Modelling the Effect of Process Conditions on Steering-Induced Defects in Automated Fibre Placement (AFP)8citations
  • 2022Understanding tack behaviour during prepreg-based composites’ processing19citations
  • 2021Modelling compaction behavior of toughened prepreg during automated fibre placementcitations
  • 2017Void modelling and virtual testing of prepreg materials from 3D image capturecitations

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Chart of shared publication
Ivanov, Dmitry S.
3 / 31 shared
Wang, Yi
3 / 27 shared
Belnoue, Jonathan P.-H.
3 / 35 shared
Hallett, Stephen R.
4 / 270 shared
Belnoue, Jonathan P.
1 / 8 shared
Ivanov, Dmitry
1 / 15 shared
Kratz, James
2 / 46 shared
Kawashita, Luiz F.
1 / 24 shared
Rendall, Thomas C. S.
1 / 4 shared
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2023
2022
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Co-Authors (by relevance)

  • Ivanov, Dmitry S.
  • Wang, Yi
  • Belnoue, Jonathan P.-H.
  • Hallett, Stephen R.
  • Belnoue, Jonathan P.
  • Ivanov, Dmitry
  • Kratz, James
  • Kawashita, Luiz F.
  • Rendall, Thomas C. S.
OrganizationsLocationPeople

document

Void modelling and virtual testing of prepreg materials from 3D image capture

  • Kawashita, Luiz F.
  • Kratz, James
  • Rendall, Thomas C. S.
  • Mahapatra, Sarthak
Abstract

Voids remain the most prolific manufacturing defect, and while the reduction in mechanical performance due to voids is well understood, the initial size, distribution, and evolution of voids during the manufacturing process is not well understood. In this study, the ply-ply interface of a laminate was replaced by a ply-glass interface and a high-resolution surface scanner was used to capture the surface topology of prepreg samples during the manufacturing processing. The size, shape, and depth of voids were captured and compared to a numerical method used to describe the evolution of the voids throughout processing. The model captures the void reduction trend during heating but some disparity remains in the final void size. The final experimentally measured void shape was used to predict the fracture toughness performance of the laminate. A finite element model was constructed from the surface images and the crack growth behavior was investigated using a multi-scale model of a double cantilever beam test. The fracture toughness and the stick-slip crack growth behavior of the samples were captured by the model. The continuing aim of this work is to advance both the experimental characterisation techniques and modelling capabilities in-order to deploy virtual performance testing from process simulation.

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • glass
  • glass
  • crack
  • void
  • fracture toughness