People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Ward, Mark
University of Birmingham
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (25/25 displayed)
- 2021Metallurgical modelling of Ti-6Al-4V for welding applicationscitations
- 2020Microstructural modelling of thermally-driven β grain growth, lamellae & martensite in Ti-6Al-4Vcitations
- 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
- 2017Study of as-cast structure formation in Titanium alloy
- 2017Keyhole formation and thermal fluid flow-induced porosity during laser fusion welding in titanium alloyscitations
- 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
- 2016Defect formation and its mitigation in selective laser melting of high γ′ Ni-base superalloyscitations
- 2016Technology scale-up in metal additive manufacture
- 2015Linear friction welding of Ti6Al4V: experiments and modellingcitations
- 2015Validation of a Model of Linear Friction Welding of Ti6Al4V by Considering Welds of Different Sizescitations
- 2015On the role of melt flow into the surface structure and porosity development during selective laser meltingcitations
- 2015Influence of processing conditions on strut structure and compressive properties of cellular lattice structures fabricated by selective laser meltingcitations
- 2013Determination of the magnitude of interfacial air-gap and heat transfer during ingot casting into permanent metal moulds by numerical and experimental techniquescitations
- 2013A multiscale 3D model of the Vacuum Arc remelting processcitations
- 2012A multi-scale 3D model of the vacuum arc remelting processcitations
- 2011Linear friction welding of Ti-6Al-4V: Modelling and validationcitations
- 2010Microstructure and corrosion of Pd-modified Ti alloys produced by powder metallurgycitations
- 2009An analysis of the use of magnetic source tomography to measure the spatial distribution of electric current during vacuum arc remeltingcitations
- 2008Effect of Variation in Process Parameters on the Formation of Freckle in INCONEL 718 by Vacuum Arc Remeltingcitations
- 2004The effect of VAR process parameters on white spot formation in INCONEL 718citations
- 2004A simple transient numerical model for heat transfer and shape evolution during the production of rings by centrifugal spray depositioncitations
Places of action
Organizations | Location | People |
---|
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.