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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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Ertveldt, Julien
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2023Measuring and Predicting the Effects of Residual Stresses from Full-Field Data in Laser-Directed Energy Depositioncitations
- 2023Comparison and Analysis of Hyperspectral Temperature Data in Directed Energy Depositioncitations
- 2022Experimental identification of process dynamics for real-time control of directed energy depositioncitations
- 2022FPGA-based visual melt-pool monitoring with pyrometer correlation for geometry and temperature measurement during Laser Metal Depositioncitations
- 2022Powder-Gas Jet Velocity Characterization during Coaxial Directed Energy Deposition Processcitations
- 2021Prediction of build geometry for DED using supervised learning methods on simulated process monitoring datacitations
- 2021Structural health monitoring through surface acoustic wave inspection deployed on capillaries embedded in additively manufactured components
- 2021Process parameter study for enhancement of directed energy deposition powder efficiency based on single-track geometry evaluationcitations
- 2021Production Assessment of Hybrid Directed Energy Deposition Manufactured Sample with Integrated Effective Structural Health Monitoring channel (eSHM)citations
- 2020MiCLAD as a platform for real-time monitoring and machine learning in laser metal depositioncitations
- 2020Comparison of visual and hyperspectral monitoring of the melt pool during Laser Metal Deposition
- 2020Offline powder-gas nozzle jet characterization for coaxial laser-based Directed Energy Depositioncitations
- 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
- 2016Vibration Monitoring Using Fiber Optic Sensors in a Lead-Bismuth Eutectic Cooled Nuclear Fuel Assemblycitations
- 2016Reconstruction of impacts on a composite plate using fiber Bragg gratings (FBG) and inverse methodscitations
Places of action
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article
Production Assessment of Hybrid Directed Energy Deposition Manufactured Sample with Integrated Effective Structural Health Monitoring channel (eSHM)
Abstract
<p>Additively manufactured components are questioned for their fatigue performance and therefore not adopted for safety critical applications so far. The components might contain material imperfections and residual stresses due to the high temperature gradients during the printing process. These stresses alter the component's structural integrity and are one of the main sources of component deformation and cracking. The effective Structural Health Monitoring system (eSHM), developed and patented by the Vrije Universiteit Brussel, fully exploits the flexibility offered by the 3D printing process by integrating a smart continuous monitoring technology inside additively manufactured parts. The system is based on the detection of pressure changes in 3D-curved internal channels embedded in the fatigue critical regions of the component. The pressure is continuously monitored at the channel extremities by externally mounted pressure sensors. The system is capable of detecting the presence and finding the location of a fatigue crack. This paper proposes an assessment of the production of a fatigue sample with integrated eSHM-system using the MiCLAD in-house hybrid Directed Energy Deposition machine developed by the Additive Manufacturing Research Group of the VUB. It has the particularity to allow the combination of both additive and subtractive milling operations for the production of a part. Different printing strategies are presented and compared in terms of final geometry and internal channel roughness, known to be crucial to avoid undesired fatigue initiation and to obtain an accurate detection and localization of the fatigue crack. The encountered difficulties during the production process are identified and solutions are proposed.</p>