| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
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
Places of action
| Organizations | Location | People |
|---|
article
Modelling of Material Properties Using Frequency Domain Information from Barkhausen Noise Signal
Abstract
Frequency spectrum, bispectrum and bicoherence which are computed from Barkhausen noise (BN) signal are used to model material properties. The use of frequency domain information can be a significant addition to the more common time domain data analysis of the BN signals. The frequency spectrum shows the magnitude of the spectral components present in the signal. These components can also have interaction which is revealed only by the higher-order spectra. Third order spectrum can be used to detect the quadratic phase coupling phenomenon, which is a result of nonlinearity in the signal. In this study, a special attention is paid on the segment biphase to distinguish the quadratic phase coupling from constant non-zero biphase. Partial least squares regression models are made to model the surface hardness and residual stress properties from a set of carburizing case-hardened steel samples.