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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Vuyst, Tom De
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 Platescitations
- 2019A numerical study on the influence of internal corrugated reinforcements on the biaxial bending collapse of thin-walled beamscitations
- 2019On high velocity impact on carbon fibre reinforced polymers
- 2018Modelling of shock waves in fcc and bcc metals using a combined continuum and dislocation kinetic approachcitations
- 2012Progressive damage in woven CFRPP in presence of shock waves
- 2007Material flow around a friction stir welding toolcitations
- 2005Finite element modelling of friction stir welding of aluminium alloy plates-inverse analysis using a genetic algorithmcitations
- 2002Effects of orientation on the strength of the aluminum alloy 7010-T6 during shock loadingcitations
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article
Finite element modelling of friction stir welding of aluminium alloy plates-inverse analysis using a genetic algorithm
Abstract
This paper presents finite element simulation results of instrumented FSW experiments on aluminium alloys 6005A-T6 and 2024-T3. The SAMCEF™ finite element code is used to perform the simulations. The FE model involves a sequential thermal-mechanical analysis and includes contact between the meshed tool, workpiece and backing plate. The model takes into account the pressure applied by the tool on the weld as well as the heat input. The heat transfers such as convection in air and contact conductance with the backing plate are modelled. For each experiment, the temperature time-histories were recorded at several locations in the workpiece. The heat input in the finite element model is identified by minimising the objective function of a constrained problem using a genetic optimisation algorithm. The objective function is the square of the difference between the experimental measurements and the numerical prediction of temperature. Finally, levels of residual stress predicted by simulation are presented.