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 (1/1 displayed)

  • 2016Improvements in numerical simulation of the SPR process using a thermo-mechanical finite element analysis60citations

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Dashwood, Richard
1 / 77 shared
Carandente, M.
1 / 1 shared
Han, L.
1 / 6 shared
Chart of publication period
2016

Co-Authors (by relevance)

  • Dashwood, Richard
  • Carandente, M.
  • Han, L.
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article

Improvements in numerical simulation of the SPR process using a thermo-mechanical finite element analysis

  • Masters, I. G.
  • Dashwood, Richard
  • Carandente, M.
  • Han, L.
Abstract

Self-piercing riveting (SPR) has been widely used over recent years in the automotive industry to join lightweight aluminium structures. However, the extensive experimental trials needed to assess the feasible rivet/die combinations within a body in white assembly facility present a serious constraint for the application of this process on a large manufacturing scale. Therefore, having a virtual tool able to assess or predict the feasibility of a rivet/die combination is of primary importance for the automotive industry. In this study, a 2D axisymmetric model based on thermo-mechanical finite element analysis (FEA) was proposed to simulate the SPR process using material data determined at a strain rate of 1 s−1 and temperatures ranging from ambient to 300 °C. The increase in temperature due to friction and plastic deformation was numerically investigated using simufact.forming™ software. The effects of thermal softening and strain hardening at different strain rates were characterized for the substrate material (aluminium alloy AA5754) and their influence on the numerical simulation assessed. Accounting for these parameters led to a significantly higher level of correlation between simulation and experimental results for a number of different SPR joint configurations representative of industrial applications.

Topics
  • impedance spectroscopy
  • polymer
  • simulation
  • aluminium
  • aluminium alloy
  • forming
  • finite element analysis
  • surface plasmon resonance spectroscopy