Description du projet
Améliorer la fabrication additive pour un avenir plus vert
L’innovation et les nouvelles technologies sont devenues indispensables à notre survie et à notre bien-être dans un contexte de changement climatique. Cependant, les nouvelles technologies requièrent davantage de ressources et de chercheurs pour répondre à nos besoins. Le projet Ascent AM, financé par l’UE, entend contribuer à améliorer et à diffuser l’une de ces technologies révolutionnaires. Plus précisément, le projet a pour objectif de mettre en avant l’utilisation de la fabrication additive (FA) et de la fusion laser (FL) en réduisant les erreurs telles que les distorsions après la production et en améliorant la rentabilité ainsi que l’efficacité du travail. À cette fin, le projet mettra au point une chaîne de processus appropriée basée sur la simulation qui permettra de prévoir et d’évaluer efficacement les processus de FA et de FL, et de les améliorer.
Objectif
The achievement of the Clean Sky 2 (CS 2) objectives, concerning the reduction of CO2 and fuel burn by up to 30 % as well as the reduction of NOX by up to 40 %, is strongly associated with the availability of innovative technologies and adapted structural design. Additive manufacturing (AM) is one of the key enablers and thus inalienable to reach these goals. First simple aero engine parts manufactured by AM-processes, like laser beam melting (LBM) have successfully been introduced into mass production. To use all possible benefits of the technology like e. g. design freedom, cost efficiency and a reduced time to market, first time right production is essential. One major issue are the distortions after production. Employing manufacturing simulation to support process development is a promising approach to realise first time right production. Current simulation models however, fail to calculate distortions within an acceptable time frame and do not respect post-processes such as stress relief annealing. Thus, the goal of this project is to integrate a suitable simulation-based process chain into the tool landscape for AM process preparation that enables a prediction of distortions with high accuracy in reasonable time to generate benefit for AM users. The main focus lies on the metal-based layered manufacturing process of LBM as this is the most widespread approach to generating three-dimensional parts from powder material.
Champ scientifique
- engineering and technologymechanical engineeringmanufacturing engineeringsubtractive manufacturing
- engineering and technologyenvironmental engineeringenergy and fuels
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
- natural sciencesphysical sciencesopticslaser physics
Programme(s)
Régime de financement
CS2-RIA - Research and Innovation actionCoordinateur
80333 Muenchen
Allemagne