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 (8/8 displayed)

  • 2019Material selection for automated dry fiber placement using the analytical hierarchy process19citations
  • 2018A metrology-based technique for Automated Fibre Placement programming strategy optimisationcitations
  • 2018Manufacturing High-Performance and Complex Geometry Sandwich Structures by Additive Manufacturing Methodscitations
  • 2018Preforming Large Composite Aerostructurescitations
  • 2018Feature-Based Design for Manufacturing Guidelines for Dry Fibre AFPcitations
  • 2018Feature-Based Design for Manufacturing Guidelines for Dry Fibre AFPcitations
  • 2017Infusion characteristics of preforms manufactured by automated dry fibre placementcitations
  • 2017Developing a cost comparison technique for hand lay-up versus automated fibre placement and infusion versus out-of-autoclavecitations

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Chart of shared publication
Kim, Byung Chul
5 / 20 shared
Giddings, Peter
6 / 8 shared
Potter, Kevin
5 / 41 shared
Di Francesco, Mattia
2 / 3 shared
Carter, Lorna
1 / 1 shared
Davies, Megan
1 / 1 shared
Francesco, Mattia Di
2 / 2 shared
Hopcraft, Chris
1 / 1 shared
Astwood, Simon
3 / 3 shared
Bauswein, Yves
1 / 1 shared
Ward, Carwyn
1 / 39 shared
Chart of publication period
2019
2018
2017

Co-Authors (by relevance)

  • Kim, Byung Chul
  • Giddings, Peter
  • Potter, Kevin
  • Di Francesco, Mattia
  • Carter, Lorna
  • Davies, Megan
  • Francesco, Mattia Di
  • Hopcraft, Chris
  • Astwood, Simon
  • Bauswein, Yves
  • Ward, Carwyn
OrganizationsLocationPeople

document

A metrology-based technique for Automated Fibre Placement programming strategy optimisation

  • Kim, Byung Chul
  • Giddings, Peter
  • Potter, Kevin
  • Carter, Lorna
  • Veldenz, Laura
Abstract

Dry fibre material has emerged as an alternative to pre-impregnated tapes for Automated Fibre Placement, promising higher conformability over steered paths and a more cost-effective manufacturing route. However, manufacturing components with complex geometries requires balancing conflicting requirements: minimum steering radius, maximum angle deviation and maximum tape gap width.<br/><br/>Complex geometries often require steering to keep angle deviation and gap width of quasi-isotropic tapes at a required minimum. The optimisation process of curvilinear paths however, often does not take into account manufacturability. It is current industrial practice to optimise the fibre paths based on nominal gap width, angle deviation and steering radii outputs of the programming software. However, since the software tool has a critical limitation in taking into account the material characteristics of the tape materials, a series of physical lay-up trials are carried out based on the programmed paths. The manufacturing quality of these paths are then judged by visual inspection and this highly subjective result is used for further program optimisation.<br/><br/>In this work, tapes were deposited on a complex geometry and the actual deposition quality was correlated with the result of the programming software tool. The actual path quality was measured utilising the surface topography of the preform captured by a laser line scanner, which was post processed in a commercial metrology software. This data was then compared directly with the quality prediction of the analysis tool provided by the AFP machine manufacturer, and the comparative results were used to understand the source of the deviations.<br/><br/>This work results in a database that guides the selection of the programming strategy based on preform quality instead on solely relying on nominal software output values. This will lead to less iterations between programming and deposition as well as enabling fine-tuning the programme software tool based on more realistic material behaviours. Enabling right-first-time programming for large composite structures will have a positive effect on wider adoption of Automated Fibre Placement.

Topics
  • Deposition
  • impedance spectroscopy
  • surface
  • laser emission spectroscopy
  • composite
  • isotropic