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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Helsen, Jan

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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 deposition3citations
  • 2021Prediction of build geometry for DED using supervised learning methods on simulated process monitoring data8citations
  • 2021An interdisciplinary framework to predict premature roller element bearing failures in wind turbine gearboxes3citations
  • 2021An interdisciplinary framework to predict premature roller element bearing failures in wind turbine gearboxes3citations
  • 2020Spatial distributed spectroscopic monitoring of melt pool and vapor plume during the laser metal deposition process2citations
  • 2020MiCLAD as a platform for real-time monitoring and machine learning in laser metal deposition33citations
  • 2018Robust Power-Electronic-Converter-Fault Detection and Isolation Technique for DFIG Wind Turbinescitations
  • 2016Experimental Investigation of Bearing Slip in a Wind Turbine Gearbox During a Transient Grid Loss Event24citations
  • 2016Experimental dynamic identification of modeshape driving wind turbine grid loss event on nacelle testrig11citations

Places of action

Chart of shared publication
Powell, John
1 / 7 shared
Jardon, Zoé
2 / 12 shared
Sanchez Medina, Jorge
2 / 6 shared
Hinderdael, Michaël
1 / 22 shared
Baere, Dieter De
2 / 26 shared
Ertveldt, Julien
2 / 16 shared
Snyers, Charles
1 / 2 shared
Verbeken, Kim
2 / 154 shared
Ravi, Gopalakrishnan
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Teerlinck, Bart
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Daems, Pieter-Jan
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De Waele, Wim
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Petrov, Roumen
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Nikolić, Ksenija
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Hertelé, Stijn
2 / 45 shared
Nikolic, Ksenija
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Waele, Wim De
1 / 30 shared
Guillaume, Patrick
4 / 40 shared
Devesse, Wim
1 / 14 shared
Mollet, Yves
1 / 1 shared
Kinnaert, Michel
1 / 1 shared
Gyselinck, Johan
1 / 1 shared
Soares, Marcelo Nesci
1 / 1 shared
Guo, Yi
1 / 4 shared
Keller, Jonathan
1 / 2 shared
Weijtjens, Wout
1 / 4 shared
Devriendt, Christof
1 / 5 shared
Chart of publication period
2023
2021
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Co-Authors (by relevance)

  • Powell, John
  • Jardon, Zoé
  • Sanchez Medina, Jorge
  • Hinderdael, Michaël
  • Baere, Dieter De
  • Ertveldt, Julien
  • Snyers, Charles
  • Verbeken, Kim
  • Ravi, Gopalakrishnan
  • Teerlinck, Bart
  • Daems, Pieter-Jan
  • De Waele, Wim
  • Petrov, Roumen
  • Nikolić, Ksenija
  • Hertelé, Stijn
  • Nikolic, Ksenija
  • Waele, Wim De
  • Guillaume, Patrick
  • Devesse, Wim
  • Mollet, Yves
  • Kinnaert, Michel
  • Gyselinck, Johan
  • Soares, Marcelo Nesci
  • Guo, Yi
  • Keller, Jonathan
  • Weijtjens, Wout
  • Devriendt, Christof
OrganizationsLocationPeople

article

Experimental evaluation of the metal powder particle flow on the melt pool during directed energy deposition

  • Helsen, Jan
  • Powell, John
  • Jardon, Zoé
  • Sanchez Medina, Jorge
  • Hinderdael, Michaël
  • Baere, Dieter De
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.

Topics
  • Deposition
  • impedance spectroscopy
  • surface
  • stainless steel
  • simulation
  • melt
  • defect
  • directed energy deposition