| People | Locations | Statistics |
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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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Fivel, Marc C.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (29/29 displayed)
- 2023Influence of microstructure on mass loss caused by acoustic and hydrodynamic cavitation ; Effet de la microstructure sur la perte de masse engendrée par la cavitation acoustique et hydrodynamique
- 2023Comparison of acoustic and hydrodynamic cavitation: material point of view ; Comparaison entre cavitation ultrasonore et hydrodynamique : point de vue du matériaucitations
- 2022Comparison of acoustic and hydrodynamic cavitation: material point of viewcitations
- 2022Ti3SiC2-SiC multilayer thin films deposited by high temperature reactive chemical vapor depositioncitations
- 2020Estimation of Cavitation Pit Distributions by Acoustic Emissioncitations
- 2019SPH modelling of a cavitation bubble collapse near an elasto-visco-plastic materialcitations
- 2018Cavitation erosion resistance assessment and comparison of three francis turbine runner materialscitations
- 2018Cavitation Bubble Collapse Monitoring by Acoustic Emission in Laboratory Testingcitations
- 2017Cavitation bubble collapse detection by acoustic emissioncitations
- 2016Dislocation/hydrogen interaction mechanisms in hydrided nanocrystalline palladium filmscitations
- 2016First steps of crack initiation and propagation in fatigue of FCC crystals studied by dislocation dynamics
- 2016First steps of crack initiation and propagation in fatigue of FCC crystals studied by dislocation dynamics
- 2016Effect of Grain Disorientation on Early Fatigue Crack Propagation in FCC Polycrystals: Dislocation Dynamics Simulations and Corresponding Experimental Validationcitations
- 2015Primary combination of phase-field and discrete dislocation dynamics methods for investigating athermal plastic deformation in various realistic Ni-base single crystal superalloy microstructurescitations
- 2015Cavitation erosion in UHMWPE: a three-dimensional FEM study
- 2015Numerical estimation of impact load and prediction of material loss in cavitation erosioncitations
- 2015Cavitation erosion: Using the target material as a pressure sensorcitations
- 2015Post-irradiation plastic deformation in bcc Fe grains investigated by means of 3D dislocation dynamics simulationscitations
- 2015Outstanding cavitation erosion resistance of Ultra High Molecular Weight Polyethylene (UHMWPE) coatingscitations
- 2015Towards numerical prediction of cavitation erosioncitations
- 2015Towards numerical prediction of cavitation erosioncitations
- 2013Effect of grain disorientation on early fatigue crack propagation in face-centred-cubic polycristals: A three-dimensional dislocation dynamics investigation.citations
- 2012Analysis of particle induced dislocation structures using three-dimensional dislocation dynamics and strain gradient plasticitycitations
- 2010Internal stress evolution in Fe laths deformed at low temperature analysed by dislocation dynamics simulationscitations
- 2008Amorphous and partially crystallized metallic glasses: An indentation studycitations
- 2008Introducing Dislocation Climb by Bulk Diffusion in Discrete Dislocation Dynamicscitations
- 2007Chapitre 8: Mechanical and Nanomechanical Propertiescitations
- 2005Degallaix a three dimensional discrete dislocation dynamics analysis of cyclic straining in 316L stainless steel.
- 2004Low-strain fatigue in AISI 316L steel surface grains: a three-dimensional discrete dislocation dynamics modelling of the early cycles. I: Dislocation microstructures and mechanical behaviour
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article
Estimation of Cavitation Pit Distributions by Acoustic Emission
Abstract
International audience ; Cavitation erosion in hydraulic machinery, such as in turbines and pumps, often leads to significant reduction of the service life of the affected components, with serious consequences for their maintenance costs and operation efficiency. In this study, the potential contribution of acoustic emission (AE) measurements to the assessment of cavitation damage is evaluated from experiments in a cavitation tunnel. Stainless steel samples were exposed to cavitation and damage was characterized from pitting tests carried out on mirror-polished samples. The pits were measured using an optical profilometer and cavitation damage was characterized by pit diameter distribution. In parallel, AE time signal was measured directly from behind the samples. A dedicated signal-processing technique was developed in order to identify each burst in the AE signal and determine its amplitude. The AE amplitude distribution compares well with PVDF and pressure sensor measurements from literature. It is concluded that AE signal analysis can be used to monitor the formation of pits without visual examination of the damaged surface. This provides a basis for possible future applications of nonintrusive cavitation erosion monitoring in hydraulic machines, provided the findings remain true in a more complex environment.