Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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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 deposition3citations
  • 2023Comparison and Analysis of Hyperspectral Temperature Data in Directed Energy Deposition3citations
  • 2022Experimental identification of process dynamics for real-time control of directed energy deposition7citations
  • 2022FPGA-based visual melt-pool monitoring with pyrometer correlation for geometry and temperature measurement during Laser Metal Deposition2citations
  • 2021Prediction of build geometry for DED using supervised learning methods on simulated process monitoring data8citations
  • 2020Comparison of visual and hyperspectral monitoring of the melt pool during Laser Metal Depositioncitations

Places of action

Chart of shared publication
Helsen, Jan
2 / 9 shared
Powell, John
1 / 7 shared
Jardon, Zoé
3 / 12 shared
Hinderdael, Michaël
3 / 22 shared
Baere, Dieter De
2 / 26 shared
Ertveldt, Julien
5 / 16 shared
Guillaume, Patrick
4 / 40 shared
Snyers, Charles
2 / 2 shared
Arroud, Galid
1 / 5 shared
Devesse, Wim
1 / 14 shared
Chart of publication period
2023
2022
2021
2020

Co-Authors (by relevance)

  • Helsen, Jan
  • Powell, John
  • Jardon, Zoé
  • Hinderdael, Michaël
  • Baere, Dieter De
  • Ertveldt, Julien
  • Guillaume, Patrick
  • Snyers, Charles
  • Arroud, Galid
  • Devesse, Wim
OrganizationsLocationPeople

document

Experimental identification of process dynamics for real-time control of directed energy deposition

  • Ertveldt, Julien
  • Guillaume, Patrick
  • Sanchez Medina, Jorge
  • Hinderdael, Michaël
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>

Topics
  • Deposition
  • impedance spectroscopy
  • melt
  • directed energy deposition