| 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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Terrenoir, Laurent
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 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)
- 2023A decision support model to choose the WAAM process parameters considering both mechanical and sustainable performance indicators
- 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
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thesis
A decision support model to choose the WAAM process parameters considering both mechanical and sustainable performance indicators
Abstract
The metal additive manufacturing processes of Directed Energy Deposition (DED) are still notvery mature, despite the numerous research projects carried out on them in recent years. Tocontribute to the industrial integration of DED processes, it is imperative to control themechanical quality of the produced parts and the sustainability of the manufacturing process.This thesis proposes a methodological framework to facilitate the implementation of thesetechnologi es by selecting relevant manufacturing parameters.The first step involves developing a maturity assessment model to support the selection of aDED technology for a specific use case. Subsequently, a performance model is developed forthe chosen case study , which focuses on the Wire Arc Additive Manufacturing (WAAM) of a316L stainless steel part. The developed predictive model establishes the analytics relationsbetween mechanical and sustainable performance (such as load bearing force, dimensionalaccurac y, manufacturing time, cost, and environmental impact) and the studied WAAMprocess parameters, namely, wire feed speed and travel speed. This model highlights theconflicts that arise between the analyzed performances when choosing the manufacturingparam eters. To address this issue, the proposed framework's final step presents theimplementation of a decision support model that enables the selection of manufacturingparameters based on the decision maker's prioritization of performance factors.Thus, thiswork contributes to the industrial development of DED processes by presenting amethodological framework that can be extended to other applications. This thesis investigatesthe selection of optimal parameters considering sustainable mechanical and indust rialperformance for WAAM in 316L steel.