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 |
|
Helsen, Jan
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2023Experimental evaluation of the metal powder particle flow on the melt pool during directed energy depositioncitations
- 2021Prediction of build geometry for DED using supervised learning methods on simulated process monitoring datacitations
- 2021An interdisciplinary framework to predict premature roller element bearing failures in wind turbine gearboxescitations
- 2021An interdisciplinary framework to predict premature roller element bearing failures in wind turbine gearboxescitations
- 2020Spatial distributed spectroscopic monitoring of melt pool and vapor plume during the laser metal deposition processcitations
- 2020MiCLAD as a platform for real-time monitoring and machine learning in laser metal depositioncitations
- 2018Robust Power-Electronic-Converter-Fault Detection and Isolation Technique for DFIG Wind Turbines
- 2016Experimental Investigation of Bearing Slip in a Wind Turbine Gearbox During a Transient Grid Loss Eventcitations
- 2016Experimental dynamic identification of modeshape driving wind turbine grid loss event on nacelle testrigcitations
Places of action
Organizations | Location | People |
---|
article
Experimental evaluation of the metal powder particle flow on the melt pool during directed energy deposition
Abstract
Laser metal deposition is an additive manufacturing process that allows the production of near net shape structures. Moreover, the process can also be applied for the addition of material to an existing component for repair. To obtain structures with reproducible and good characteristics, it is necessary to understand the powder particle flow and the corresponding melt pool flow better. One of the critical parameters in this process is the convection within the melt pool. This convection is directly impacted and driven by flow phenomena occurring at the melt pool surface. The convection influences the geometry of the melt pool including its shape, aspect ratio, and can provoke defects such as lack of fusion, porosities, and unstable dilution levels. The surface flow can also have a direct impact on the formation of surface ripples. In the pursuance of a better understanding of the melt pool surface flow behaviour a high-speed camera was applied at a framerate of 40000 frames per second with a specific illumination system. In this paper an optical set-up with a high-speed camera and illumination system will be described. The images were obtained during the laser metal deposition process of single tracks from stainless steel (316L).The set-up optimization and employed image processing techniques allowed the detection of floating (316L) powder particles on the melt-pool. The visualization of their trajectories on the melt pool surface will be presented and discussed. In literature this kind experimental evaluations typically apply tracer particles to simplify the detection of the particles. In the future the obtained experience can be used to generate more data, which can support the validation numerical simulation model results and support the development of monitoring solutions or controlling systems.