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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Jardon, Zoé

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Vrije Universiteit Brussel

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 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
  • 2022Numerical and experimental study of a crack localisation system embedded in 3D printed smart metallic componentscitations
  • 2022Powder-Gas Jet Velocity Characterization during Coaxial Directed Energy Deposition Process1citations
  • 2021Prediction of build geometry for DED using supervised learning methods on simulated process monitoring data8citations
  • 2021Structural health monitoring through surface acoustic wave inspection deployed on capillaries embedded in additively manufactured componentscitations
  • 2021Process parameter study for enhancement of directed energy deposition powder efficiency based on single-track geometry evaluation10citations
  • 2021Production Assessment of Hybrid Directed Energy Deposition Manufactured Sample with Integrated Effective Structural Health Monitoring channel (eSHM)4citations
  • 2020Offline powder-gas nozzle jet characterization for coaxial laser-based Directed Energy Deposition21citations
  • 2019On the Influence of Capillary-Based Structural Health Monitoring on Fatigue Crack Initiation and Propagation in Straight Lugs3citations
  • 2018Effective Structural Health Monitoring through the Monitoring of Pressurized Capillaries in Additive Manufactured Materialscitations
  • 2017Proof of Concept of Integrated Load Measurement in 3D Printed Structures7citations

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Chart of shared publication
Helsen, Jan
2 / 9 shared
Powell, John
1 / 7 shared
Sanchez Medina, Jorge
3 / 6 shared
Hinderdael, Michaël
10 / 22 shared
Baere, Dieter De
5 / 26 shared
Ertveldt, Julien
8 / 16 shared
Guillaume, Patrick
9 / 40 shared
Snyers, Charles
2 / 2 shared
Arroud, Galid
2 / 5 shared
Wyart, Eric
1 / 3 shared
Moonens, Marc
1 / 3 shared
Lison, Margot
1 / 2 shared
Strantza, Maria
1 / 13 shared
Devesse, Wim
1 / 14 shared
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Co-Authors (by relevance)

  • Helsen, Jan
  • Powell, John
  • Sanchez Medina, Jorge
  • Hinderdael, Michaël
  • Baere, Dieter De
  • Ertveldt, Julien
  • Guillaume, Patrick
  • Snyers, Charles
  • Arroud, Galid
  • Wyart, Eric
  • Moonens, Marc
  • Lison, Margot
  • Strantza, Maria
  • Devesse, Wim
OrganizationsLocationPeople

article

Proof of Concept of Integrated Load Measurement in 3D Printed Structures

  • Lison, Margot
  • Jardon, Zoé
  • Guillaume, Patrick
  • Strantza, Maria
  • Devesse, Wim
  • Hinderdael, Michaël
  • Baere, Dieter De
Abstract

Currently, research on structural health monitoring systems is focused on direct integration of the system into a component or structure. The latter results in a so-called smart structure. One example of a smart structure is a component with integrated strain sensing for continuous load monitoring. Additive manufacturing, or 3D printing, now also enables such integration of functions inside components. As a proof-of-concept, the Fused Deposition Modeling (FDM) technique was used to integrate a strain sensing element inside polymer (ABS) tensile test samples. The strain sensing element consisted of a closed capillary filled with a fluid and connected to an externally mounted pressure sensor. The volumetric deformation of the integrated capillary resulted in pressure changes in the fluid. The obtained pressure measurements during tensile testing are reported in this paper and compared to state-of-the-art extensometer measurements. The sensitivity of the 3D printed pressure-based strain sensor is primarily a function of the compressibility of the capillary fluid. Air- and watertightness are of critical importance for the proper functioning of the 3D printed pressure-based strain sensor. Therefore, the best after-treatment procedure was selected on basis of a comparative analysis. The obtained pressure measurements are linear with respect to the extensometer readings, and the uncertainty on the strain measurement of a capillary filled with water (incompressible fluid) is ±3.1 µstrain, which is approximately three times less sensitive than conventional strain gauges (±1 µstrain), but 32 times more sensitive than the same sensor based on air (compressible fluid) (±101 µstrain).

Topics
  • Deposition
  • impedance spectroscopy
  • polymer
  • laser emission spectroscopy
  • additive manufacturing