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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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Santa-Aho, Suvi Tuulikki
Tampere University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2024Magnetic domain wall dynamics studied by in-situ lorentz microscopy with aid of custom-made Hall-effect sensor holdercitations
- 2024Synergistic effects of heat treatments and severe shot peening on residual stresses and microstructure in 316L stainless steel produced by laser powder bed fusioncitations
- 2024Magnetic behavior of steel studied by in-situ Lorentz microscopy, magnetic force microscopy and micromagnetic simulations
- 2023Magnetic Domain Structure of Ferromagnetic Steels Studied by Lorentz Microscopy and Magnetic Force Microscopy
- 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
- 2022Comparative study of additively manufactured and reference 316 L stainless steel samples – Effect of severe shot peening on microstructure and residual stressescitations
- 2022Surface and subsurface modification of selective laser melting built 316L stainless steel by means of severe shot peening
- 2021Additive manufactured 316l stainless-steel samplescitations
- 2021Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - effect of microstructural steel features on Barkhausen noisecitations
- 2021Motion of Domain Walls in Ferromagnetic Steel Studied by TEM – Effect of Microstructural Features
- 2020Statistical evaluation of the Barkhausen Noise Testing (BNT) for ground samples
- 2020Cracking and Failure Characteristics of Flame Cut Thick Steel Platescitations
- 2019Role of Steel Plate Thickness on the Residual Stress Formation and Cracking Behavior During Flame Cuttingcitations
- 2019Case Depth Prediction of Nitrided Samples with Barkhausen Noise Measurementcitations
- 2018Surface layer characterization of shot peened gear specimenscitations
- 2018Effect of microstructural characteristics of thick steel plates on residual stress formation and cracking during flame cuttingcitations
- 2017Characterization of Flame Cut Heavy Steelcitations
- 2016Barkhausen noise response of three different welded duplex stainless steelscitations
- 2016The Characterization of Flame Cut Heavy Steel – The Residual Profiling of Heat Affected Surface Layercitations
- 2015Modelling of Material Properties Using Frequency Domain Information from Barkhausen Noise Signalcitations
- 2012Barkhausen Noise Method for Hardened Steel Surface Characterization - The Effect of Heat Treatments, Thermal Damages and Stresses
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document
Novel utilization of microscopy and modelling to better understand Barkhausen noise signal
Abstract
The actual origin of the Barkhausen noise (BN) signal itself is not considered much in production quality control when industrial BN<br/>measurements are done. However, with assistance of electron microscopy, the information of microstructure and magnetic substructure,<br/>called as magnetic domains, from the sample can be gathered. Magnetic domains represent the magnetic substructure similar to the grain<br/>structure of the sample defining the magnetic properties of material. The BN measurement gives indirect information of the movements<br/>of magnetic domain walls (DWs) in the applied magnetic field. Electron microscopy allows us to make direct characterizations of micro-<br/>structural pinning sites (e.g., grain boundaries, dislocations, carbides) hindering the DW motion and to visualize how these pinning sites<br/>interact with DWs thus produce the BN signal. Here, we present a methodology to combine indirect (BN measurement) and direct<br/>(microscopy) studies to better understand how microstructural features affect the BN signal. BN measurements were done in millimeter<br/>scale producing the BN signal of the microstructural state while an external magnetic field was applied to material. Micrometer scale<br/>microstructural and crystallographic information was gained with scanning electron microscopy (SEM) together with electron backscatter<br/>diffraction (EBSD) technique. Down to sub-nanoscale microstructural features were studied by transmission electron microscopy (TEM).<br/>Lorentz electron microscopy in TEM was used to observe DWs and to visualize their motion. We used a simple structure, ferritic steel<br/>with carbides, to demonstrate the methodology. Fig. 1 presents examples how a microstructure and magnetic structure behind the BN<br/>signal can be studied by electron microscopy. The SEM image shows grain boundaries and carbides. Crystallographic information is<br/>commonly collected by TEM, however, TEM studies on the magnetic sample can be challenging and thus orientation and dislocation<br/>information is collected also by EBSD. By Lorentz microscopy, DWs are observed as white and black lines. In the future, the domain<br/>structure will be studied also by magnetic force microscopy (MFM). The influence of the pinning sites on the DW motion can be studied<br/>by Lorentz microscopy using an objective lens of TEM as a source of the applied magnetic field, i.e., the BN measurement can be<br/>visualized, see our earlier study [1]. Coupling experimental data with realistic computational modelling such as micromagnetic simulations<br/>enables, e.g., the study of detailed dependencies of statistical properties of BN and the underlying magnetization dynamics on the material<br/>microstructure, which can be created in the model system using experimental electron microscopy results as input. This novel utilization<br/>of multiscale characterization and modelling gives versatile information how microstructural features manifest in the ensuing BN signal.