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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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 (22/22 displayed)

  • 2023Experimental evaluation of the metal powder particle flow on the melt pool during directed energy deposition3citations
  • 2023Measuring and Predicting the Effects of Residual Stresses from Full-Field Data in Laser-Directed Energy Deposition4citations
  • 2023Comparison and Analysis of Hyperspectral Temperature Data in Directed Energy Deposition3citations
  • 2022Experimental identification of process dynamics for real-time control of directed energy deposition7citations
  • 2022Powder-Gas Jet Velocity Characterization during Coaxial Directed Energy Deposition Process1citations
  • 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
  • 2019Hyperspectral and Thermal Temperature Estimation During Laser Cladding18citations
  • 2019Analytical Modeling of Embedded Load Sensing Using Liquid-Filled Capillaries Integrated by Metal Additive Manufacturing5citations
  • 2019On the Influence of Capillary-Based Structural Health Monitoring on Fatigue Crack Initiation and Propagation in Straight Lugs3citations
  • 2018Fatigue performance of powder bed fused Ti-6Al-4V component with integrated chemically etched capillary for structural health monitoring application.8citations
  • 2018Effective Structural Health Monitoring through the Monitoring of Pressurized Capillaries in Additive Manufactured Materialscitations
  • 2017Effect of Surface Roughness on Fatigue Crack Initiation in Additive Manufactured components with Integrated Capillary for SHM Applicationcitations
  • 2017Proof of Concept of Integrated Load Measurement in 3D Printed Structures7citations
  • 2017Model-based temperature feedback control of laser cladding using high-resolution hyperspectral imaging17citations
  • 2017Fatigue Performance of Ti-6Al-4V Additively Manufactured Specimens with Integrated Capillaries of an Embedded Structural Health Monitoring System19citations
  • 2016Hardware-in-the-loop control of additive manufacturing processes using temperature feedback42citations
  • 2016Evaluation of the Diffuse Reflectivity Behaviour of the Melt Pool During the Laser Metal Deposition Processcitations
  • 2016Temperature Feedback Control of Laser Cladding Using High Resolution Hyperspectral Imagingcitations
  • 2015Hardware-in-the-loop control of additive manufacturing processes using temperature feedbackcitations

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Chart of shared publication
Helsen, Jan
1 / 9 shared
Powell, John
1 / 7 shared
Jardon, Zoé
10 / 12 shared
Sanchez Medina, Jorge
3 / 6 shared
Baere, Dieter De
15 / 26 shared
Polyzos, Efstratios
1 / 10 shared
Ertveldt, Julien
10 / 16 shared
Pyl, Lincy
1 / 60 shared
Mäckel, Peter
1 / 1 shared
Van Hemelrijck, Danny
1 / 126 shared
Pulju, Hendrik
1 / 1 shared
Guillaume, Patrick
20 / 40 shared
Snyers, Charles
1 / 2 shared
Arroud, Galid
2 / 5 shared
Lison, Margot
2 / 2 shared
Devesse, Wim
8 / 14 shared
Moonens, Marc
3 / 3 shared
Wyart, Eric
1 / 3 shared
Vafadari, Reza
1 / 3 shared
Strantza, Maria
2 / 13 shared
Graeve, Iris De
1 / 57 shared
Terryn, Herman
1 / 124 shared
Pauw, Ben De
1 / 4 shared
Chart of publication period
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Co-Authors (by relevance)

  • Helsen, Jan
  • Powell, John
  • Jardon, Zoé
  • Sanchez Medina, Jorge
  • Baere, Dieter De
  • Polyzos, Efstratios
  • Ertveldt, Julien
  • Pyl, Lincy
  • Mäckel, Peter
  • Van Hemelrijck, Danny
  • Pulju, Hendrik
  • Guillaume, Patrick
  • Snyers, Charles
  • Arroud, Galid
  • Lison, Margot
  • Devesse, Wim
  • Moonens, Marc
  • Wyart, Eric
  • Vafadari, Reza
  • Strantza, Maria
  • Graeve, Iris De
  • Terryn, Herman
  • Pauw, Ben De
OrganizationsLocationPeople

article

Model-based temperature feedback control of laser cladding using high-resolution hyperspectral imaging

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

Laser cladding is a technique that is frequently used for the coating and repair of metallic components. More recently, the technology is used in the additive manufacturing domain for building freeform three-dimensional parts. A lot of attention is dedicated to the optimization of process parameters and to real-time feedback control strategies. This paper presents a feedback control scheme in which a hyperspectral camera is used to provide absolute temperature measurements of the melt pool surface with a high spatial resolution of 12 μm/pixel. A combined linear state feedback and proportional-integral controller actuates the laser based on the measured temperature profile in order to maintain a constant melt pool width. The controller includes a model-based state observer for suppressing the noise introduced by powder particles that are present in the laser cladding process with coaxial powder feeding. The performance of the controller is evaluated by creating beads with varying thicknesses on a base plate of AISI 316L stainless steel. The experimental results demonstrate that the controller is able to successfully regulate the melt pool size with a standard deviation that is smaller than 10 μm during laser melting (without powder) and 50 μm during laser cladding (with powder).

Topics
  • impedance spectroscopy
  • surface
  • stainless steel
  • melt
  • additive manufacturing