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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Vuyst, Tom De

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University of Hertfordshire

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2021High-Velocity Impacts of Pyrophoric Alloy Fragments on Thin Armour Steel Plates2citations
  • 2019A numerical study on the influence of internal corrugated reinforcements on the biaxial bending collapse of thin-walled beams9citations
  • 2019On high velocity impact on carbon fibre reinforced polymerscitations
  • 2018Modelling of shock waves in fcc and bcc metals using a combined continuum and dislocation kinetic approach30citations
  • 2012Progressive damage in woven CFRPP in presence of shock wavescitations
  • 2007Material flow around a friction stir welding tool5citations
  • 2005Finite element modelling of friction stir welding of aluminium alloy plates-inverse analysis using a genetic algorithm15citations
  • 2002Effects of orientation on the strength of the aluminum alloy 7010-T6 during shock loading36citations

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Faderl, Norbert
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Seidl, Marina
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Ferraro, Evaristo Santamaria
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Liang, Ce
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Brown, Jason C.
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Campbell, J.
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Vignjevic, Rade
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Djordjevic, N.
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Hughes, K.
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Wasilczuk, A.
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Meo, M.
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Vignjevic, R.
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Case, Simon
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Campbell, James
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Djordjevic, Nenad
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Hughes, Kevin
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Kiely, Lewis
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Dalvise, L.
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Meester, B. De
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Simar, A.
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Pierret, S.
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Millett, J. C. F.
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Bourne, N. K.
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Co-Authors (by relevance)

  • Faderl, Norbert
  • Seidl, Marina
  • Ferraro, Evaristo Santamaria
  • Liang, Ce
  • Brown, Jason C.
  • Campbell, J.
  • Vignjevic, Rade
  • Djordjevic, N.
  • Hughes, K.
  • Wasilczuk, A.
  • Meo, M.
  • Vignjevic, R.
  • Case, Simon
  • Campbell, James
  • Djordjevic, Nenad
  • Hughes, Kevin
  • Kiely, Lewis
  • Dalvise, L.
  • Meester, B. De
  • Simar, A.
  • Pierret, S.
  • Millett, J. C. F.
  • Bourne, N. K.
OrganizationsLocationPeople

article

Material flow around a friction stir welding tool

  • Vuyst, Tom De
  • Dalvise, L.
Abstract

<p>In Friction Stir Welding the heat generated through friction and plastic deformation softens the materials and allows them to be joined. The tool consists of two features, a pin and the shoulder. Several pin geometries have been proposed, for example a threaded cylinder, a cylinder with flattened sides, etc. The rotating pin forces the materials to flow around the pin and to mix. The shoulder applies a pressure to the material to constrain the plasticized material around the pin, and generates heat through friction and plastic deformation in a relatively thin layer under the shoulder surface. The material flow around the tool is very complex, and to date not fully understood. However one can distinguish two main parts: an extrusion of material around the rotating cylinder, and a vortex flow field near the probe due to the downward flow induced by the probe thread. The correct prediction of the resulting temperature field during welding is very important if the process is used industrially, as this would allow the evolution of the metallurgy, as well as the residual stresses to be predicted. A model which is able to predict the temperature field can also be used to optimise the operating parameters (tool rotating and advancing speed). Currently most numerical models rely on the measurement of the heat flux to be used as input data into the numerical model. This means that these models are not predictive. This paper presents a finite element model which does not require the heat input to be measured. The MORFEO (Manufacturing Oriented Finite Element toOI) finite element code developed at CENAERO is used for all simulations. The simulation results of the flow around simple tool geometries are presented. The predicted flow fields are compared to a first weld experiment conducted at INSTITUT DE SOUDURE. The first results are encouraging as a reasonable correlation between the experiment and the simulation is obtained.</p>

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • experiment
  • simulation
  • extrusion