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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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Turner, Richard
University of Birmingham
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (27/27 displayed)
- 2024On the Salt Bath Cleaning Operations for Removal of Lubricants on the Surface of Titanium Alloy Aerospace Fasteners
- 2024Characterization of Ti-6Al-4V Bar for Aerospace Fastener Pin Axial Forging
- 2023On the Pre-Forging Heating Methods for AA2014 Alloycitations
- 2021A study of the deformation derivatives for a Ti-6Al-4V inertia friction weldcitations
- 2021A study of the convective cooling of large industrial billets
- 2021Metallurgical modelling of Ti-6Al-4V for welding applicationscitations
- 2021The influence of soak temperature and forging lubricant on surface properties of steel forgingscitations
- 2020Microstructural modelling of thermally-driven β grain growth, lamellae & martensite in Ti-6Al-4Vcitations
- 20193D Forging simulation of a multi-partitioned titanium alloy billet for a medical implantcitations
- 2019Microstructural modelling of the α+β phase in Ti-6Al-4V:citations
- 2019Modelling of the heat-affected and thermomechanically affected zones in a Ti-6Al-4V inertia friction weldcitations
- 2018Analysis of the failure of a PPS polymer cycling support:citations
- 2018Mean-field modelling of the intermetallic precipitate phases during heat treatment and additive manufacture of Inconel 718citations
- 2018A computational study on the three-dimensional printability of precipitate-strengthened nickel-based superalloyscitations
- 2017Keyhole formation and thermal fluid flow-induced porosity during laser fusion welding in titanium alloyscitations
- 2017Mesoscale modelling of selective laser meltingcitations
- 2017On the processing of steel rod for agricultural conveyor systems
- 2016Porosity formation in laser welded Ti-6Al-4V Alloy: modelling and validation
- 2016Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4V
- 2016Calculating the energy required to undergo the conditioning phase of a titanium alloy inertia friction weldcitations
- 2016An integrated modelling approach for predicting process maps of residual stress and distortion in a laser weldcitations
- 2015Linear friction welding of Ti6Al4V: experiments and modellingcitations
- 2015Validation of a Model of Linear Friction Welding of Ti6Al4V by Considering Welds of Different Sizescitations
- 2013The effect of hydrogen on porosity formation during electron beam welding of titanium alloys
- 2013Introduction of materials modelling into processing simulationcitations
- 2012The effect of hydrogen on porosity formation during electron beam welding of titanium alloys
- 2011Linear friction welding of Ti-6Al-4V: Modelling and validationcitations
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document
Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4V
Abstract
Finite element (FE) modelling of fusion welding methods has become an established numerical tool used by high-value manufacturing industries and academic communities, largely due to its capabilities to predict residual stress and distortion. However, a major drawback of this type of approach is the requirement to perform a test weld at the relevant process parameters, geometry and material to understand the size and shape of the weld pool formed. With this knowledge a priori the FE model can then be used to best-fit the thermal cycles to the part, and from the thermal field predict the mechanical response to this thermal loading. This well-established method of FE simulation reduces the predictive capabilities of the model. Thus, an improved method of using a different modelling strategy to feed the thermal cycles in to the FE model is desirable. A computational fluid dynamics (CFD) modelling capability has been developed which is able to predict not just weld pool shape, but using real physical phenomena such as surface tension and thermo-capillary forces, buoyancy forces and interfacial phenomena between solid-liquid and liquid-gas phases, can predict thermal fluid flow lines within the molten region, the presence of regions susceptible to porosity and the formation of the keyhole phase, containing metallic vapor. Using simplistic Cartesian co-ordinates the fusion boundary can be extracted from CFD analysis for entry in to an FE model for structural analysis in terms of residual stress and distortions. Therefore, the modelling approach predicts both fluid type and structural type properties of the transient welding operation.