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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Béraud, Nicolas
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 processescitations
- 2021A guide to select strain sensors to be embedded in smart metal parts built by WAAM
- 2019Towards a novel thermal criterion for form defects prediction in Wire Arc Additive Manufacturing: Finite element modelling and validation
- 2017Improving dimensional accuracy in EBM using beam characterization and trajectory optimizationcitations
- 2015Evaluation de la chaine numérique en fabrication par Electron Beam Melting
- 2014New Trajectories in Electron Beam Melting Manufacturing to Reduce Curling Effectcitations
Places of action
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conferencepaper
A guide to select strain sensors to be embedded in smart metal parts built by WAAM
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.