| People | Locations | Statistics |
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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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Grilli, Nicolò
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (15/15 displayed)
- 2024Modelling the Effect of Residual Stresses on Damage Accumulation Using a Coupled Crystal Plasticity Phase Field Fracture Approach
- 2024Effect of grain boundary misorientation and carbide precipitation on damage initiation:A coupled crystal plasticity and phase field damage studycitations
- 2024Effect of grain boundary misorientation and carbide precipitation on damage initiationcitations
- 2024Thermal Numerical Simulations of the Wire-Arc Additive Manufacturing (WAAM) Process
- 2023Crystal plasticity analysis of fatigue-creep behavior at cooling holes in single crystal Nickel based gas turbine blade componentscitations
- 2022Cold dwell behaviour of Ti6Al alloy:Understanding load shedding using digital image correlation and dislocation based crystal plasticity simulationscitations
- 2022Cold dwell behaviour of Ti6Al alloycitations
- 2021Modelling the nucleation and propagation of cracks at twin boundariescitations
- 2021An in-situ synchrotron diffraction study of stress relaxation in titanium:Effect of temperature and oxygen on cold dwell fatiguecitations
- 2020In situ measurement and modelling of the growth and length scale of twins in α -uraniumcitations
- 2020Characterisation of slip and twin activity using digital image correlation and crystal plasticity finite element simulation:Application to orthorhombic $α$-uraniumcitations
- 2020A phase field model for the growth and characteristic thickness of deformation-induced twinscitations
- 2019Crystal plasticity finite element simulations of cast α-uranium
- 2018Effect of initial damage variability on hot-spot nucleation in energetic materialscitations
- 2018Dynamic fracture and hot-spot modeling in energetic compositescitations
Places of action
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document
Thermal Numerical Simulations of the Wire-Arc Additive Manufacturing (WAAM) Process
Abstract
Wire Arc Additive Manufacturing (WAAM) is a Direct Energy Deposition additive manufacturing process that uses well-established welding technology. It consists of a sequential deposition of weld passes and layers to form bases of engineering components later machined to the final shape. The WAAM process is characterised by high heat input, high deposition rate, high surface roughness and the anisotropy of material properties. The high heat input leads to significant development of distortion and residual stresses, which can negatively affect the performance of the final component. At the same time, the high input can lead to the development of a highly textured microstructure. Hence, significant effort is underway to address the development of residual stresses, distortion, or anisotropy in the mechanical properties, which depend on the crystallographic texture. It is, however, impractical, and expensive to test all manufactured components. Therefore, developing validated numerical models is vital to obtain the required information. In this project, the WAAM process has been employed to manufacture multipass, multilayer walls made using 316LSi stainless steel consumable on a 316L substrate at the University of Wollongong. An array of thermocouples on the substrate has been employed to monitor the transient temperature field during the WAAM manufacturing of test specimens. The thermocouple readings are then used to calibrate the thermal model, which will later be used in a phase-field model predicting resulting weld-like microstructure and in a thermo-mechanical model predicting resulting distortion and residual stresses. A microstructural analysis and the assessment of the welding-induced residual stresses support the numerical modelling work by providing means of model validation.