Fractional approach to dynamic magnetic power losses in low-carbon steel under static mechanical stress and alternating magnetic field

This study extends an analytical fractional approach for describing magnetic losses to thick, low-carbon steel specimens, focusing on the influence of uniaxial mechanical stress on magnetic loss variations. The main objective is to develop a simple, yet accurate analytical model for describing magnetic losses in a low-carbon steel under static mechanical stress. The model is based on a fractional-order approach that captures the material’s dissipative behavior across a wide range of frequencies and stress levels. The high conductivity and thickness of the tested specimens amplify the classical loss contribution, making the methods using a fixed fractional derivative order n inadequate. To address this, the order n is made dependent on the maximal value of the average flux density ( B a max ), reducing the relative Euclidean distance (RED(%)) between simulation predictions and experimental results to 5.4 % under stress-free conditions. Under applied stress, a fitting procedure linking n to both maximum flux density ( B a max ) and stress σ achieves a RED(%) of 3.16 % across 225 data points, albeit with excessive degrees of freedom. Simplifying the definition of n to a three-parameter polynomial maintains reasonable accuracy (RED(%) = 6.7 %) while improving efficiency. Deviations are observed at B a max = 0.5 T and 1.7 T. They are attributed to specific low-field material behaviors or experimental inconsistencies. Finally, using a sigmoid-type function with the same number of parameters achieves an improved RED(%) of 6.4 % while ensuring physical coherence.

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Publication Details

Journal
Mathematics and Computers in Simulation
Published
2025-12-03
DOI
https://doi.org/10.1016/j.matcom.2025.12.003
Primary Topic
Magnetic Properties and Applications
Type
article
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article

Fractional approach to dynamic magnetic power losses in low-carbon steel under static mechanical stress and alternating magnetic field

Mathieu Domenjoud, Laurent Daniel, Patrick Fagan, Benjamin Ducharne et al.
Mathematics and Computers in Simulation
Magnetic Properties and Applications
article

Fractional approach to dynamic magnetic power losses in low-carbon steel under static mechanical stress and alternating magnetic field

Mathieu Domenjoud, Laurent Daniel, Patrick Fagan, Benjamin Ducharne, Abderraouf Ouazib
article en

Abstract

This study extends an analytical fractional approach for describing magnetic losses to thick, low-carbon steel specimens, focusing on the influence of uniaxial mechanical stress on magnetic loss variations. The main objective is to develop a simple, yet accurate analytical model for describing magnetic losses in a low-carbon steel under static mechanical stress. The model is based on a fractional-order approach that captures the material’s dissipative behavior across a wide range of frequencies and stress levels. The high conductivity and thickness of the tested specimens amplify the classical loss contribution, making the methods using a fixed fractional derivative order n inadequate. To address this, the order n is made dependent on the maximal value of the average flux density ( B a max ), reducing the relative Euclidean distance (RED(%)) between simulation predictions and experimental results to 5.4 % under stress-free conditions. Under applied stress, a fitting procedure linking n to both maximum flux density ( B a max ) and stress σ achieves a RED(%) of 3.16 % across 225 data points, albeit with excessive degrees of freedom. Simplifying the definition of n to a three-parameter polynomial maintains reasonable accuracy (RED(%) = 6.7 %) while improving efficiency. Deviations are observed at B a max = 0.5 T and 1.7 T. They are attributed to specific low-field material behaviors or experimental inconsistencies. Finally, using a sigmoid-type function with the same number of parameters achieves an improved RED(%) of 6.4 % while ensuring physical coherence.

Mathematics and Computers in SimulationVol. 243
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), Laboratoire de Génie Électrique et Électronique de Paris (FR), Sorbonne Université (FR), Institut National des Sciences Appliquées de Lyon (FR)
Openalex Percentile: Top 72%
Magnetic Properties and Applications
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