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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Queen's University Belfast

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021Motion control for uniaxial rotational molding6citations
  • 2017Simulation Of The Rotational Moulding Process Using Discrete Element Methodscitations

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Chart of shared publication
Adams, Jonathan
2 / 3 shared
Kearns, Mark
1 / 15 shared
Jin, Yan
2 / 10 shared
Butterfield, Joseph
2 / 7 shared
Chart of publication period
2021
2017

Co-Authors (by relevance)

  • Adams, Jonathan
  • Kearns, Mark
  • Jin, Yan
  • Butterfield, Joseph
OrganizationsLocationPeople

document

Simulation Of The Rotational Moulding Process Using Discrete Element Methods

  • Adams, Jonathan
  • Barnes, David
  • Jin, Yan
  • Butterfield, Joseph
Abstract

Motion control parameters (rotational speed and speed ratios) within rotational moulding are typically identified using rules of thumb or trial and error approaches. This leads to a significant waste of material, energy and time. An improved understanding of motion control is required to understand how robotic moulding can benefit the process and potentially reduce waste as rotational moulding is challenged to produce more complex shaped parts to higher levels of quality.<br/>This work proposes the use of the discrete element method (DEM) to model the effects of motion control during the rotational moulding process.This simulation-based approach when validated can potentially determine the benefits of using robot arms to execute the rotational moulding process, delivering optimal processing conditions to the operator without the need for pre-production trial and error methods.The paper presents the early findings of the research that has been based on uniaxial models and simple mould shapes.<br/>

Topics
  • impedance spectroscopy
  • simulation
  • discrete element method