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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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021A Smart Interface for Automated Fibre Placementcitations
  • 2021A Smart Interface For Machine Learning Based Data-Driven Automated Fibre Placementcitations

Places of action

Chart of shared publication
Visrolia, Amit
2 / 2 shared
Druiff, Phil P. J.
2 / 2 shared
Dellanno, Giuseppe
2 / 5 shared
Ward, Carwyn
2 / 39 shared
Ma, King
2 / 2 shared
Bolduc, Sean
2 / 2 shared
Palardy-Sim, Marc
2 / 2 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Visrolia, Amit
  • Druiff, Phil P. J.
  • Dellanno, Giuseppe
  • Ward, Carwyn
  • Ma, King
  • Bolduc, Sean
  • Palardy-Sim, Marc
OrganizationsLocationPeople

document

A Smart Interface for Automated Fibre Placement

  • Visrolia, Amit
  • Druiff, Phil P. J.
  • Dellanno, Giuseppe
  • Arruda, Mauro
  • Ward, Carwyn
  • Ma, King
  • Bolduc, Sean
  • Palardy-Sim, Marc
Abstract

The quality and consistency of components produced by Automated Fibre Placement are dependent on multiple process parameters and their interactions. In order to capture the required data, multiple data collection systems are typically used which output data in different formats, frequencies and reference systems. This results in a long process with manual steps, which can be error-prone and time consuming. This study implements a data collection and visualisation platform designed to unify and automate data capture from multiple sources and facilitate the deployment of process models. As a demonstration of the platform, multiple complex and multidirectional components are manufactured at the National Composites Centre, UK. A number of process parameters, including compaction force, surface temperature and lay-up speed, are measured continuously using the smart platform. Process variable distributions are visualised, and the data is processed into datasets which can be used to train process models.

Topics
  • impedance spectroscopy
  • surface
  • composite