| 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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Laurson, Lasse
Tampere University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024Magnetic domain wall dynamics studied by in-situ lorentz microscopy with aid of custom-made Hall-effect sensor holdercitations
- 2024Barkhausen noise in disordered striplike ferromagnetscitations
- 2024Magnetic domain walls interacting with dislocations in micromagnetic simulationscitations
- 2024Magnetic behavior of steel studied by in-situ Lorentz microscopy, magnetic force microscopy and micromagnetic simulations
- 2024Barkhausen noise in disordered striplike ferromagnets : Experiment versus simulationscitations
- 2023Machine learning dislocation density correlations and solute effects in Mg-based alloyscitations
- 2023Predicting elastic and plastic properties of small iron polycrystals by machine learningcitations
- 2023Multi-instrumental approach to domain walls and their movement in ferromagnetic steels – Origin of Barkhausen noise studied by microscopy techniquescitations
- 2022Novel utilization of microscopy and modelling to better understand Barkhausen noise signal
- 2021Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - effect of microstructural steel features on Barkhausen noisecitations
- 2020Propagating bands of plastic deformation in a metal alloy as critical avalanchescitations
- 2020Machine learning depinning of dislocation pileupscitations
- 2019Bloch-line dynamics within moving domain walls in 3D ferromagnetscitations
- 2018Effects of precipitates and dislocation loops on the yield stress of irradiated ironcitations
- 2016Predicting sample lifetimes in creep fracture of heterogeneous materialscitations
- 2016Glassy features of crystal plasticitycitations
- 2014Influence of material defects on current-driven vortex domain wall mobilitycitations
- 2013A numerical approach to incorporate intrinsic material defects in micromagnetic simulations
- 2013Influence of disorder on vortex domain wall mobility in magnetic nanowires
Places of action
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article
Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - effect of microstructural steel features on Barkhausen noise
Abstract
A relationship between microstructural steel features and an outcome of the Barkhausen noise (BN) measurement was studied. Two different microstructures, martensite and pearlite-ferrite were used. Commonly, BN is linked directly to the sample hardness. A BN outcome from both martensite and pearlite-ferrite was, however, similar even though martensite has three times higher hardness. To reveal the connection between microstructural features and BN, a typical industrial BN measurement was mimicked by in-situ transmission electron microscopy (TEM). Martensite needed higher field strength to move domain walls (DWs) than pearlite-ferrite. In martensite, DWs gathered to areas with high dislocation density. Fe3C lamellae in pearlite were strong pinning sites. DWs perpendicular and parallel to martensite laths started to move with the same field strength value. In pearlite, DWs perpendicular to lamellae started to move before the parallel ones. The RMS envelope of ferrite-pearlite starts earlier than that of martensite due to soft ferrite. Magnetically harder pearlite probably caused “a tail” and the envelope ends almost at the same time with martensite. . Nevertheless, similar peak width values were found for both samples. Martensite and pearlite have a lot of strong pinning sites, dislocations and Fe3C, respectively. Fe3C density is not as high as dislocation density. Ferrite has strong pinning sites only at low incidence, but as known, huge BN information volume compared to martensite and pearlite. This resulted in the similar pulse count from martensite and ferrite-pearlite. ; Peer reviewed