Power transformer design requires to model the loss and hysteresis behavior of the laminated steel core, constructed out of high-permeability grain-oriented electrical steel. This work predicts the magnetic loss and hysteresis behavior in the rolling direction of three transformer grade steels, for magnetic flux densities up to and including 1.9 T, and frequencies up to and including 300 Hz. Material characterization parameters for the excess loss, obtained by statistical loss separation for sinusoidal concentric hysteresis loops, are applied in a hysteresis model and govern the dynamic field behavior. The modeled loss is compared and verified with measurement data obtained by an Epstein frame for each steel gauge
This paper proposes an advanced approach to construct static hysteresis loop of Grain-Oriented (GO) ...
International audienceIn electromagnetic applications, hysteresis phenomena in magnetic materials ar...
International audienceWe propose a simplified dynamic hysteresis model for the prediction of magneti...
Power transformer design requires to model the loss and hysteresis behavior of the laminated steel c...
For loss prediction of a transformer it is required to model the loss of its core, constructed out o...
A procedure is described for identifying a mathematical model of core losses in ferromagnetic steel ...
In electrical machines, iron losses are essential for electromagnetic and thermal designs and analys...
This paper proposes a model for the computation of iron losses in steel laminations accounting simul...
This paper presents an evaluation method of for specific iron losses in non-oriented laminated steel...
The possibility of obtaining a voltage-driven solution of the diffusion equation by using a history-...
Purpose - For efficient magnetic field calculations in electrical machines, the hysteresis and losse...
Loss separation experiments on non-oriented and grain-oriented 3.2 wt.% SiFe electrical steels have ...
This paper discusses the anomalous loss behavior in two electrical steels types. Starting from a non...
A model of core losses, in which the hysteresis coefficients are variable with the frequency and ind...
This paper discusses the anomalous loss behavior in two electrical steels types. Starting from a non...
This paper proposes an advanced approach to construct static hysteresis loop of Grain-Oriented (GO) ...
International audienceIn electromagnetic applications, hysteresis phenomena in magnetic materials ar...
International audienceWe propose a simplified dynamic hysteresis model for the prediction of magneti...
Power transformer design requires to model the loss and hysteresis behavior of the laminated steel c...
For loss prediction of a transformer it is required to model the loss of its core, constructed out o...
A procedure is described for identifying a mathematical model of core losses in ferromagnetic steel ...
In electrical machines, iron losses are essential for electromagnetic and thermal designs and analys...
This paper proposes a model for the computation of iron losses in steel laminations accounting simul...
This paper presents an evaluation method of for specific iron losses in non-oriented laminated steel...
The possibility of obtaining a voltage-driven solution of the diffusion equation by using a history-...
Purpose - For efficient magnetic field calculations in electrical machines, the hysteresis and losse...
Loss separation experiments on non-oriented and grain-oriented 3.2 wt.% SiFe electrical steels have ...
This paper discusses the anomalous loss behavior in two electrical steels types. Starting from a non...
A model of core losses, in which the hysteresis coefficients are variable with the frequency and ind...
This paper discusses the anomalous loss behavior in two electrical steels types. Starting from a non...
This paper proposes an advanced approach to construct static hysteresis loop of Grain-Oriented (GO) ...
International audienceIn electromagnetic applications, hysteresis phenomena in magnetic materials ar...
International audienceWe propose a simplified dynamic hysteresis model for the prediction of magneti...