Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Ertveldt, Julien

  • Google
  • 16
  • 25
  • 170

Vrije Universiteit Brussel

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (16/16 displayed)

  • 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
  • 2022FPGA-based visual melt-pool monitoring with pyrometer correlation for geometry and temperature measurement during Laser Metal Deposition2citations
  • 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
  • 2020MiCLAD as a platform for real-time monitoring and machine learning in laser metal deposition33citations
  • 2020Comparison of visual and hyperspectral monitoring of the melt pool during Laser Metal Depositioncitations
  • 2020Offline powder-gas nozzle jet characterization for coaxial laser-based Directed Energy Deposition21citations
  • 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
  • 2016Vibration Monitoring Using Fiber Optic Sensors in a Lead-Bismuth Eutectic Cooled Nuclear Fuel Assembly29citations
  • 2016Reconstruction of impacts on a composite plate using fiber Bragg gratings (FBG) and inverse methods40citations

Places of action

Chart of shared publication
Polyzos, Efstratios
1 / 10 shared
Pyl, Lincy
1 / 60 shared
Mäckel, Peter
1 / 1 shared
Van Hemelrijck, Danny
1 / 126 shared
Pulju, Hendrik
1 / 1 shared
Hinderdael, Michaël
10 / 22 shared
Jardon, Zoé
8 / 12 shared
Guillaume, Patrick
13 / 40 shared
Sanchez Medina, Jorge
5 / 6 shared
Snyers, Charles
2 / 2 shared
Baere, Dieter De
3 / 26 shared
Arroud, Galid
4 / 5 shared
Helsen, Jan
2 / 9 shared
Devesse, Wim
1 / 14 shared
Moonens, Marc
2 / 3 shared
Wyart, Eric
1 / 3 shared
Pauw, Ben De
1 / 4 shared
Vanlanduit, Steve
2 / 12 shared
Lamberti, Alfredo
2 / 11 shared
Tichelen, Katrien Van
1 / 1 shared
Berghmans, Francis
1 / 45 shared
Rezayat, Ali
2 / 3 shared
Elkafafy, Mahmoud
1 / 1 shared
Pauw, Ben Dieter De
1 / 4 shared
Nassiri, V.
1 / 1 shared
Chart of publication period
2023
2022
2021
2020
2019
2016

Co-Authors (by relevance)

  • Polyzos, Efstratios
  • Pyl, Lincy
  • Mäckel, Peter
  • Van Hemelrijck, Danny
  • Pulju, Hendrik
  • Hinderdael, Michaël
  • Jardon, Zoé
  • Guillaume, Patrick
  • Sanchez Medina, Jorge
  • Snyers, Charles
  • Baere, Dieter De
  • Arroud, Galid
  • Helsen, Jan
  • Devesse, Wim
  • Moonens, Marc
  • Wyart, Eric
  • Pauw, Ben De
  • Vanlanduit, Steve
  • Lamberti, Alfredo
  • Tichelen, Katrien Van
  • Berghmans, Francis
  • Rezayat, Ali
  • Elkafafy, Mahmoud
  • Pauw, Ben Dieter De
  • Nassiri, V.
OrganizationsLocationPeople

article

Vibration Monitoring Using Fiber Optic Sensors in a Lead-Bismuth Eutectic Cooled Nuclear Fuel Assembly

  • Ertveldt, Julien
  • Pauw, Ben De
  • Vanlanduit, Steve
  • Lamberti, Alfredo
  • Tichelen, Katrien Van
  • Berghmans, Francis
  • Rezayat, Ali
Abstract

Excessive fuel assembly vibrations in nuclear reactor cores should be avoided in order not to compromise the lifetime of the assembly and in order to prevent the occurrence of safety hazards. This issue is particularly relevant to new reactor designs that use liquid metal coolants, such as, for example, a molten lead-bismuth eutectic. The flow of molten heavy metal around and through the fuel assembly may cause the latter to vibrate and hence suffer degradation as a result of, for example, fretting wear or mechanical fatigue. In this paper, we demonstrate the use of optical fiber sensors to measure the fuel assembly vibration in a lead-bismuth eutectic cooled installation which can be used as input to assess vibration-related safety hazards. We show that the vibration characteristics of the fuel pins in the fuel assembly can be experimentally determined with minimal intrusiveness and with high precision owing to the small dimensions and properties of the sensors. In particular, we were able to record local strain level differences of about 0.2 mu epsilon allowing us to reliably estimate the vibration amplitudes and modal parameters of the fuel assembly based on optical fiber sensor readings during different stages of the operation of the facility, including the onset of the coolant circulation and steady-state operation.

Topics
  • impedance spectroscopy
  • fatigue
  • Bismuth