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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2021A scalable cost modelling architecture for evaluating the production cost-effectiveness of novel joining techniques for aircraft structures3citations
  • 2021Improving the Quality of Friction Stir Welds in Aluminium Alloys7citations
  • 2016Robotic Seam Tracking for Friction Stir Welding under Large Contact Forcescitations

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Chart of shared publication
Mcclelland, John
1 / 8 shared
Higgins, Peter
1 / 2 shared
Higgins, Colm
1 / 6 shared
Tierney, Christopher
1 / 2 shared
Quinn, Damian
1 / 7 shared
Murphy, Adrian
1 / 52 shared
Ortnas, Anna
1 / 1 shared
Persson, Johan
1 / 5 shared
Allen, Chris
1 / 1 shared
Purandare, Yashodhan
1 / 20 shared
Sugumaran, Arunprabhu Arunachalam
1 / 2 shared
Hovsepian, Papken
1 / 29 shared
Hatto, Peter
1 / 4 shared
Ehiasarian, Arutiun
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Carlson, Fredrik Bagge
1 / 1 shared
Holmstrand, Martin
1 / 2 shared
Johansson, Rolf
1 / 2 shared
Robertsson, Anders
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Karlsson, Martin
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Chart of publication period
2021
2016

Co-Authors (by relevance)

  • Mcclelland, John
  • Higgins, Peter
  • Higgins, Colm
  • Tierney, Christopher
  • Quinn, Damian
  • Murphy, Adrian
  • Ortnas, Anna
  • Persson, Johan
  • Allen, Chris
  • Purandare, Yashodhan
  • Sugumaran, Arunprabhu Arunachalam
  • Hovsepian, Papken
  • Hatto, Peter
  • Ehiasarian, Arutiun
  • Carlson, Fredrik Bagge
  • Holmstrand, Martin
  • Johansson, Rolf
  • Robertsson, Anders
  • Karlsson, Martin
OrganizationsLocationPeople

article

A scalable cost modelling architecture for evaluating the production cost-effectiveness of novel joining techniques for aircraft structures

  • Mcclelland, John
  • Higgins, Peter
  • Higgins, Colm
  • Tierney, Christopher
  • Quinn, Damian
  • Murphy, Adrian
  • Ortnas, Anna
  • Backer, Jeroen De
  • Persson, Johan
  • Allen, Chris
Abstract

This work introduces a cost modelling architecture in order to determine the cost-effectiveness of the latest joining technology developments. Riveting is the conventional joining method in the aerospace industry, but is a time-consuming, expensive process that adds excessive weight to a structure. As part of the JTI Clean Sky 2 Joint Technology Initiative, the OASIS project (“Optimization of Friction Stir Welding (FSW) and Laser Beam Welding (LBW) for assembly of structural aircraft parts”) aims to demonstrate the feasibility and cost-effectiveness of novel joining technologies. The technologies being investigated are LBW, FSW and Friction Stir Spot Welding (FSSW). Physical demonstrators, simulation studies and access to industry leading technical expertise from OASIS project partners have helped develop detailed production process maps and input accurate process metrics to determine manufacturing costs. To this end, an activity-based cost modelling architecture has been developed to predict the cost-effectiveness of the joining technologies and assess them against both manual and automatic riveted solutions. The model has been designed in a manner that enables integration into current manufacturing eco-systems, has scalability for large aerospace companies and the ability to perform multi-fidelity process cost models that can be integrated with one another as required.

Topics
  • impedance spectroscopy
  • simulation
  • joining