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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Béraud, Nicolas

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Université Grenoble Alpes

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2023Bichromatic melt pool thermal measurement based on a Red, Green, and Blue camera: Application to additive manufacturing processes7citations
  • 2021A guide to select strain sensors to be embedded in smart metal parts built by WAAMcitations
  • 2019Towards a novel thermal criterion for form defects prediction in Wire Arc Additive Manufacturing: Finite element modelling and validationcitations
  • 2017Improving dimensional accuracy in EBM using beam characterization and trajectory optimization31citations
  • 2015Evaluation de la chaine numérique en fabrication par Electron Beam Meltingcitations
  • 2014New Trajectories in Electron Beam Melting Manufacturing to Reduce Curling Effect17citations

Places of action

Chart of shared publication
Kaftandjian, Valérie
1 / 3 shared
Guillemot, Mady
1 / 1 shared
Zaoui, Abderrahime
1 / 1 shared
Tardif, Nicolas
1 / 17 shared
Jegou, Loïc
1 / 3 shared
Elguedj, Thomas
1 / 3 shared
Dellarre, Anthony
1 / 1 shared
Lachambre, Joel
1 / 2 shared
Paris, Henri
1 / 4 shared
Robert, Pascal
1 / 2 shared
Museau, Matthieu
1 / 10 shared
Chergui, Akram
1 / 1 shared
Vignat, Frédéric
4 / 16 shared
Villeneuve, François
4 / 13 shared
Dendievel, Rémy
3 / 21 shared
Chart of publication period
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Co-Authors (by relevance)

  • Kaftandjian, Valérie
  • Guillemot, Mady
  • Zaoui, Abderrahime
  • Tardif, Nicolas
  • Jegou, Loïc
  • Elguedj, Thomas
  • Dellarre, Anthony
  • Lachambre, Joel
  • Paris, Henri
  • Robert, Pascal
  • Museau, Matthieu
  • Chergui, Akram
  • Vignat, Frédéric
  • Villeneuve, François
  • Dendievel, Rémy
OrganizationsLocationPeople

conferencepaper

A guide to select strain sensors to be embedded in smart metal parts built by WAAM

  • Paris, Henri
  • Béraud, Nicolas
  • Robert, Pascal
  • Museau, Matthieu
Abstract

International audience ; Additive Manufacturing gives designers freedom to explore new way of thinking smart parts. Smart parts can be defined as parts that react, adjust themselves and/or communicate. Such tasks can be performed through embedded devices or in an independent way when a change in their environment occurs, decreasing or replacing a human intervention. They are an important step toward the establishment of the 4.0 industry. This study is focused on smart part with strain monitoring. Embedding sensors enable core measurement while ensuring protection of the device from outside impairment. Additive manufacturing makes it possible to embed such kind of sensor inside a part during the manufacturing process. These newly produced parts would be able to monitor their use and optimize their lifetime. Wire Arc Additive Manufacturing is a good candidate to produce smart parts. However, this process uses gas metal arc welding technology to build metallic parts in an additiveminded way and thus imply high current and high temperatures. These consequences make it difficult for some kind of strain sensing technologies to be embedded soundly. This paper benchmark various sensor technologies for monitoring part strain and groups them into three approaches: embedding electronic devices, embedding fibre optic sensors and embedding passive exogenous indicators. Each approach is presented through one of its major sensor technology, and their pro and cons are discussed. Finally, a guide is proposed and tested on three examples, to select the strain-sensing technology adapted to restrictions imposed by the specifications of each example and by the WAAM process.

Topics
  • impedance spectroscopy
  • wire
  • additive manufacturing