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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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Effertz, Pedro
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Publications (6/6 displayed)
- 2023Laser-powder bed fusion process optimisation of AlSi10Mg using extra trees regressioncitations
- 2022Directed energy deposition processes and process design by artificial intelligencecitations
- 2019The influence of process parameters in linear friction welded 30CrNiMo8 small cross-section: a modelling approachcitations
- 2018Residual stresses in 18CrNiMo7-6 linear friction welded high strength steel chainscitations
- 20173D Modelling of Flash Formation in Linear Friction Welded 30CrNiMo8 Steel Chaincitations
- 2017Modelling the flash formation of linear friction welded 30CrNiMo8 high strength steel chainscitations
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article
Modelling the flash formation of linear friction welded 30CrNiMo8 high strength steel chains
Abstract
Linear friction welding (LFW) is a solid-state welding process and its initial purpose lied solely on the production of "blisks" for the aerospace industry. However, in recent years the usability of LFW has expanded and gained the interest from various industries regarding near-net-shapes. Also in chain manufacturing LFW has acquired interest over the more common flash butt welding (FBW) process. In this work, numerical modelling is used to study and understand the mechanisms responsible for the flash formation in a 30CrNiMo8 high strength steel chain. To that end, 2D computational modelling was considered using the finite element analysis (FEA) software DEFORM and was divided in two distinct approaches: a purely thermal model and a plastic flow model. Temperature measurements were carried out to validate the model and self-cleaning ability of the process was analyzed.<br/>