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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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

Places of action

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
Chart of publication period
2023
2022
2021
2017

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

Modelling compaction behavior of toughened prepreg during automated fibre placement

  • Kratz, James
  • Ivanov, Dmitry S.
  • Belnoue, Jonathan P.-H.
  • Mahapatra, Sarthak
  • Hallett, Stephen R.
Abstract

One of the most widely used automated manufacturing processes for composite parts is automated fibre placement (AFP). The deposition process involves the simultaneous warming, lay-up and consolidation of prepreg consisting of multitude of process parameters. Currently, AFP process parameters that ensure part conformance are derived by expensive and time-consuming trial-and-error approaches. The aim of this study is to demonstrate how physics-based finite element simulations that can predict the as manufactured geometry of a preform deposited by AFP can help reduce some of the empiricism associated with current industry practices. Here we particularly focus on the consolidation behaviour of toughened prepregs during the deposition process. An isothermal roller compaction model with thermal properties derived from an independent simplified thermo-mechanical model of the AFP head is used. Additionally, a fully characterised viscoelastic material definition is used for the prepreg tape along with a hyperelastic material for the compaction roller to accurately represent the physical parts. Various lay-up speeds, heater powers and compaction forces are simulated. To reduce the empiricism present in the manufacturing process, the viability of incorporating the numerical models into existing statistical relationships between process parameters and manufactured geometry is examined.

Topics
  • Deposition
  • impedance spectroscopy
  • simulation
  • composite