| 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 |
|
Carin, Muriel
Processes and Engineering in Mechanics and Materials
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2023A novel apparatus dedicated to the estimation of the thermal diffusivity of metals at high temperaturecitations
- 2023A novel hydraulic bulge test in hot forming conditionscitations
- 2022Conventional Meso-Scale and Time-Efficient Sub-Track-Scale Thermomechanical Model for Directed Energy Depositioncitations
- 2022Numerical modeling for large-scale parts fabricated by Directed Energy Depositioncitations
- 2018Design and development of an induction furnace to characterize molten metals at high temperatures
- 2018Investigation of the progressive hot die stamping of a complex boron steel part using numerical simulations and Gleeble testscitations
- 2014A model comparison to predict heat transfer during spot GTA weldingcitations
- 2014Influence of a pulsed laser regime on surface finish induced by thedirect metal deposition process on a Ti64 alloycitations
- 2013A model comparison to predict heat transfer during spot GTA weldingcitations
- 2013A model comparison to predict heat transfer during spot GTA weldingcitations
- 2012Influence of various process conditions on surface finishes induced by the direct metal deposition laser technique on a Ti-6Al-4V alloycitations
- 2012Surface Finish Issues after Direct Metal Deposition
- 2012Influence of various process conditions on surface finishes induced by the direct metal deposition laser technique on a Ti–6Al–4V alloycitations
- 20122D longitudinal modeling of heat transfer and fluid flow during multilayered
- 20122D longitudinal modeling of heat transfer and fluid flow during multilayered
- 20113D heat transfer model of hybrid laser Nd : Yag-MAG welding of a S355 steel and experimental validationcitations
- 20113D heat transfer model of hybrid laser Nd : Yag-MAG welding of a S355 steel and experimental validationcitations
- 2011Analysis of hybrid Nd:Yag laser-MAG arc welding processes.citations
- 2011Analysis of hybrid Nd:Yag laser-MAG arc welding processes.citations
- 2011Estimation of a source term in a quasi steady two-dimensional heat transfer problem: application to an electron beam weldingcitations
- 2006Thermo-mechanical modelling for the opening of electron-beam welded jointscitations
Places of action
| Organizations | Location | People |
|---|
document
Numerical modeling for large-scale parts fabricated by Directed Energy Deposition
Abstract
The possibility of large-scale part fabrication is the biggest novelty factor associated with Directed Energy Deposition (DED) Additive Manufacturing (AM) technology. However, issues like deformation and residual stresses in the fabricated part originated from DED process physics are still hindering the possibility of large-scale part fabrication. To overcome these bottlenecks, a DED process simulation that predicts the thermo-mechanical response of the material/workpiece can be a useful tool. There are some conventional simulation techniques that are employed commonly for other technologies like welding or Powder Bed Fusion (PBF). But using the same simulation methodologies for the DED process will lead to impractical computation time or inaccurate results. Hence, in the present work, an efficient simulation methodology dedicated to DED is proposed. The proposed model reduces the computation time drastically and also keeps the desired computation accuracy levels. An equivalent heat source is employed that efficiently models the material deposition along with the programmed deposition strategy. The inclusion of deposition strategy in the efficient model is very important for model accuracy, as deposition strategy plays a critical role in the thermo-mechanical response of the deposited material. The proposed model is developed and implemented in COMSOL Multiphysics. With a cantilever tooling, multiple Stainless Steel 316L (SS 316L) thin wall builds of 50- and 100-layers high is fabricated. Numerical results predicted with the efficient model are successfully compared with experimental data such as thermocouple's in-situ temperature recordings and Laser Displacement Sensor's in-situ distortion recordings at the substrate during the fabrication of 50- and 100-layers wall. The efficient model successfully captures the thermo-mechanical response of the sample. It also correctly predicts the effect of the number of layers on the accumulation of distortion during and after the material deposition.