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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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Sanchez Medina, Jorge
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 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
- 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
- 2021Prediction of build geometry for DED using supervised learning methods on simulated process monitoring datacitations
- 2020Comparison of visual and hyperspectral monitoring of the melt pool during Laser Metal Deposition
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document
Experimental identification of process dynamics for real-time control of directed energy deposition
Abstract
<p>Real-time control of melt pool temperature, deposition width, and height has shown to deliver significant improvements in both material properties and part geometry during the laser based directed energy deposition process. For accurate controller design a mathematical model of the complex DED process is required. In this paper an experimental frequency-domain system identification approach to autonomously obtain a transfer-function model with multi-spectral camera-based melt pool intensity and temperature as input, and laser power as output, are considered in a linear framework. A Maximum-Likelihood frequency domain approach in the stochastic output-error framework is used. It was concluded that both intensity and temperature can be used to model the dynamics of the melt pool, with very little difference between both. Validation of the model on a sine excitation showed general good agreement but also the presence of nonlinear distortions due to the influence of the chosen toolpath.</p>