| 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 |
|
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
Places of action
| Organizations | Location | People |
|---|
booksection
Porosity formation in laser welded Ti-6Al-4V Alloy: modelling and validation
Abstract
The presence of porosity inherited from a fusion welding operation degrades the mechanical properties of components during performance such as fatigue life. In this study, a physic s-based model including heat transfer, fluid flow, interfacial processes and microstructure prediction via cellular automata has been developed and used to simulate porosity formation during laser welding of Ti-6Al -4V titanium alloy. The model results are compared with: measurements of porosity from welded samples using X-ray tomography ; optical images; texture measurement via EBSD and neutron diffraction. These are used to provide a better understanding of the relationship between process parameters, component microstructure and weld integrity.