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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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2019Hyperspectral and Thermal Temperature Estimation During Laser Cladding18citations
  • 2017Proof of Concept of Integrated Load Measurement in 3D Printed Structures7citations

Places of action

Chart of shared publication
Guillaume, Patrick
2 / 40 shared
Devesse, Wim
2 / 14 shared
Hinderdael, Michaël
2 / 22 shared
Baere, Dieter De
2 / 26 shared
Jardon, Zoé
1 / 12 shared
Strantza, Maria
1 / 13 shared
Chart of publication period
2019
2017

Co-Authors (by relevance)

  • Guillaume, Patrick
  • Devesse, Wim
  • Hinderdael, Michaël
  • Baere, Dieter De
  • Jardon, Zoé
  • Strantza, Maria
OrganizationsLocationPeople

article

Hyperspectral and Thermal Temperature Estimation During Laser Cladding

  • Lison, Margot
  • Guillaume, Patrick
  • Devesse, Wim
  • Hinderdael, Michaël
  • Baere, Dieter De
Abstract

Although there is no doubt about the tremendous industrial potential of metal additive manufacturing techniques such as laser metal deposition, the technology still has some intrinsic quality challenges to overcome before reaching its industrial maturity. Noncontact in situ monitoring of the temperature evolution of the workpiece could provide the necessary information to implement an automated closed-loop process control system and optimize the manufacturing process, providing a robust solution to these issues. However, measuring absolute temperatures is not self-evident: wavelength-dependent emissivity values vary between solid, liquid, and mushy metallic regions, requiring spectral information and dedicated postprocessing to relate the amount of emitted infrared radiation to the material temperature. This paper compares the temperature estimation results obtained from a visible and near-infrared hyperspectral line camera and a conventional short-wave infrared (SWIR) thermal camera during the laser melting and cladding of a 316L steel sample. Both methods show agreeing results for the temperature distribution inside the melt pool, with the SWIR camera extending the temperature measurements beyond the melt pool boundaries into the solid region.

Topics
  • Deposition
  • impedance spectroscopy
  • melt
  • steel
  • additive manufacturing