| 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
Multi-instrumental approach to domain walls and their movement in ferromagnetic steels – Origin of Barkhausen noise studied by microscopy techniques
Abstract
Two steels, ferrite and ferrite-pearlite were thoroughly characterized by a multi-instrumental microscopy techniques to get detailed information about their microstructure and magnetic structure. Microstructural features act as pinning sites for the motion of magnetic domain walls (DWs) leading to changes in the magnetization of the sample. This phenomenon is the basis for industrially relevant non-destructive Barkhausen noise (BN) technique. With magnetic force microscopy (MFM), using bulk samples, and Lorentz microscopy, using thin films, we noticed that bulk and thin samples have similar domain structure still giving different BN signal amplitudes. We could explain an in-plane DW movement under out-of-plane applied magnetic field using anisotropy energetics. In-situ transmission electron microscopy (TEM) in Lorentz mode was used to visualize the motion of DWs and their interactions with different pinning sites. To help the interpretation of DW motions, alignment and denoising processes were tailored for in-situ TEM studies. Multi-instrumental and multidimensional structural analysis enabled us to visualize and verify many theoretical hypotheses related to the origin of BN signal in ferrite and ferrite-pearlite steels. ; Peer reviewed