| 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 |
|
Lartigau, Julie
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2024Effect of AM processes on the compressive behaviour of 316L architected materials
- 2024Maturity, characterisation and decision support system: a multidisciplinary approach to select WAAM-CMT process parameters
- 2024Maturity, characterisation and decision support system: a multidisciplinary approach to select WAAM-CMT process parameters
- 2023Influence of wire feed speed and torch speed on the mechanical properties of wire arc additively manufactured stainless steelcitations
- 2023Vers l’aide au choix des paramètres de fabrication additive : application au procédé arc-fil (WAAM)
- 2023Influence of Wire Feed Speed and Torch Speed on the Mechanical Properties of Wire Arc Additively Manufactured Stainless Steelcitations
- 2023Paramètres de fabrication additive métallique arc-fil : vers un modèle d’aide à la décision
- 2021Bead geometry prediction using multiple linear regression analysis: Application to Ti-6Al-4V beads made by laser metal powder depositioncitations
- 2019Influence of machine parameters on Ti-6-Al-4V small sized specimens made by laser metal deposition
Places of action
| Organizations | Location | People |
|---|
document
Vers l’aide au choix des paramètres de fabrication additive : application au procédé arc-fil (WAAM)
Abstract
Directed Energy Deposition (DED) processes are not widely used in industry. To contribute to their integration, it appears essential to handle both the quality of the produced parts and the sustainability of the manufacturing process. This paper presents a methodological framework to support the implementation of these technologies through the choice of relevant manufacturing parameters according to the targeted performances. It combines a genetic algorithm, suited to the optimisation of manufacturing parameters, the Nondominated Sorting Genetic Algorithm II (NSGA II) with a multi-criteria ranking algorithm. Thus, it brings the necessary interaction with the decision-maker, a high computational power and a simplicity of use for the decision maker. The proposed model has been developed for the optimisation of manufacturing parameters of the Wire Arc Additive Manufacturing (WAAM) process according to both mechanical characteristics (load bearing capacity and dimensional accuracy) and industrial criteria (cost and environmental impact). As this model aims to participate to the industrialisation of DED processes, it has therefore been designed to be transferable to a broad range of cases integrating various geometries, materials and DED processes.