| 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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Baere, Dieter De
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (26/26 displayed)
- 2023Experimental evaluation of the metal powder particle flow on the melt pool during directed energy depositioncitations
- 2023Comparison and Analysis of Hyperspectral Temperature Data in Directed Energy Depositioncitations
- 2020Spatial distributed spectroscopic monitoring of melt pool and vapor plume during the laser metal deposition processcitations
- 2019Hyperspectral and Thermal Temperature Estimation During Laser Claddingcitations
- 2019Analytical Modeling of Embedded Load Sensing Using Liquid-Filled Capillaries Integrated by Metal Additive Manufacturingcitations
- 2019On the Influence of Capillary-Based Structural Health Monitoring on Fatigue Crack Initiation and Propagation in Straight Lugscitations
- 2018Fatigue performance of powder bed fused Ti-6Al-4V component with integrated chemically etched capillary for structural health monitoring application.citations
- 2018Effective Structural Health Monitoring through the Monitoring of Pressurized Capillaries in Additive Manufactured Materials
- 2017Effect of Surface Roughness on Fatigue Crack Initiation in Additive Manufactured components with Integrated Capillary for SHM Application
- 2017Proof of Concept of Integrated Load Measurement in 3D Printed Structurescitations
- 2017Model-based temperature feedback control of laser cladding using high-resolution hyperspectral imagingcitations
- 2017Fatigue Performance of Ti-6Al-4V Additively Manufactured Specimens with Integrated Capillaries of an Embedded Structural Health Monitoring Systemcitations
- 2016Hardware-in-the-loop control of additive manufacturing processes using temperature feedbackcitations
- 2016Fatigue of Ti6Al4V Structural Health Monitoring Systems Produced by Selective Laser Meltingcitations
- 2016Spectroscopic monitoring and melt pool temperature estimation during the laser metal deposition processcitations
- 2016Evaluation of the Diffuse Reflectivity Behaviour of the Melt Pool During the Laser Metal Deposition Process
- 2016Assessment of eSHM system combining different NDT methods
- 2016Temperature Feedback Control of Laser Cladding Using High Resolution Hyperspectral Imaging
- 2015Modeling of laser beam and powder flow interaction in laser cladding using ray-tracingcitations
- 2015Feasibility study on integrated structural health monitoring system produced by metal three-dimensional printingcitations
- 2015Hardware-in-the-loop control of additive manufacturing processes using temperature feedback
- 2015Acoustic emission monitoring of crack propagation in titanium samples
- 2015Spectroscopic monitoring and melt pool temperature estimation during the laser metal deposition process
- 2014A combination of Additive Manufacturing Technologies and Structural Health Monitoring systems as an intelligent structure
- 2014Modeling of laser beam and powder flow interaction in laser cladding using ray-tracing
- 2007Structural Health Monitoring of Slat Tracks using transient ultrasonic waves
Places of action
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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.