| 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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Chaudhuri, Somsubhro
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (27/27 displayed)
- 2024A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposurecitations
- 2024Experimental evaluation of the short and long fatigue crack growth rate of S355 structural steel offshore monopile weldments in air and synthetic seawatercitations
- 2024Fatigue damage detection using Lock-In Thermography
- 2023Thermometric investigation of fatigue crack initiation from corrosion pits in structural steel used in offshore wind turbines
- 2023Quantitative analysis of the correlation between geometric parameters of pits and stress concentration factors for a plate subject to uniaxial tensile stresscitations
- 2023Investigation of the effect of pitting corrosion on the fatigue strength degradation of structural steel using a short crack modelcitations
- 2023Investigation of the effect of pitting corrosion on the fatigue strength degradation of structural steel using a short crack modelcitations
- 2023Smart S-N curve for fatigue lifetime predictions of offshore wind turbine support structures affected by corrosion
- 2023Smart S-N curve for fatigue lifetime predictions of offshore wind turbine support structures affected by corrosion
- 2023Evaluation of the corrosion pit growth rate in structural steel S355 by phase-field modelling
- 2023Evaluation of the corrosion pit growth rate in structural steel S355 by phase-field modelling
- 2023A numerical study on tensile stress concentration in semi-ellipsoidal corrosion pitscitations
- 2022Numerical study on the effect of pitting corrosion on the fatigue strength degradation of offshore wind turbine substructures using a short crack model
- 2022Numerical study on the effect of pitting corrosion on the fatigue strength degradation of offshore wind turbine substructures using a short crack model
- 2022A numerical investigation on the pitting corrosion in offshore wind turbine substructures
- 2022Calibration and validation of extended back-face strain compliance for a wide range of crack lengths in SENB-4P specimenscitations
- 2022Calibration and validation of extended back-face strain compliance for a wide range of crack lengths in SENB-4P specimenscitations
- 2022A numerical investigation on the pitting corrosion in offshore wind turbine substructures
- 2022Fatigue strength degradation of structural steel in sea environment due to pitting corrosion
- 2022Pitting corrosion and its transition to crack in offshore wind turbine supporting structures
- 2022Pitting Corrosion and Its Transition to Crack in Offshore Wind Turbine Supporting Structures
- 2022Test methods for corrosion-fatigue of offshore structures
- 2022Test methods for corrosion-fatigue of offshore structures
- 2021Data rich imaging approaches assessing fatigue crack initiation and early propagation in a DS superalloy at room temperaturecitations
- 2020Magnetic properties of silicon steel after plastic deformationcitations
- 2019The development of high-resolution crack monitoring methods to investigate the effect of the local weld toe geometry on fatigue crack initiation life
- 2019High-resolution 3D weld toe stress analysis and ACPD method for weld toe fatigue crack initiationcitations
Places of action
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article
Magnetic properties of silicon steel after plastic deformation
Abstract
The energy efficiency of electric machines can be improved by optimizing their manufacturing process. During the manufacturing of ferromagnetic cores, silicon steel sheets are cut and stacked. This process introduces large stresses near cutting edges. The steel near cutting edges is in a plastically deformed stress state without external mechanical load. The magnetic properties of the steel in this stress state are investigated using a custom magnetomechanical measurement setup, stress strain measurements, electrical resistance measurements, and transmission electron microscopic (TEM) measurements. Analysis of the core energy losses is done by means of the loss separation technique. The silicon steel used in this paper is non-grain oriented (NGO) steel grade M270-35A. Three differently cut sets of M270-35A are investigated, which differ in the direction they are cut with respect to the rolling direction. The effect of sample deformation was measured—both before and after mechanical load release—on the magnetization curve and total core energy losses. It is known that the magnetic properties dramatically degrade with increasing sample deformation under mechanical load. In this paper, it was found that when the mechanical load is released, the magnetic properties degrade even further. Loss separation analysis has shown that the hysteresis loss is the main contributor to the additional core losses due to sample deformation. Releasing the mechanical load increased the hysteresis loss up to 270% at 10.4% pre-release strain. At this level of strain, the relative magnetic permeability decreased up to 45% after mechanical load release. Manufacturing processes that introduce plastic deformation are detrimental to the local magnetic material properties.