Sliding Mean Value Subtraction-Based DC Drift Correction of B-H Curve for 3D-Printed Magnetic Materials
Energies 2021
Bilal Asad, Hans Tiismus, Toomas Vaimann, Anouar Belahcen, Ants Kallaste, Anton Rassolkin, Payam Shams Ghahfarokhi

This paper presents an algorithm to remove the DC drift from the B-H curve of an addi-tively manufactured soft ferromagnetic material. The removal of DC drift from the magnetization curve is crucial for the accurate estimation of iron losses. The algorithm is based on the sliding mean value subtraction from each cycle of calculated magnetic flux density (B) signal. The sliding mean values (SMVs) are calculated using the convolution theorem, where a DC kernel with a length equal to the size of one cycle is convolved with B to recover the drifting signal. The results are based on the toroid measurements made by selective laser melting (SLM)-based 3D printing mechanism. The measurements taken at different flux density values show the effectiveness of the method. (PDF) Sliding Mean Value Subtraction-Based DC Drift Correction of B-H Curve for 3D-Printed Magnetic Materials. Available from: https://www.researchgate.net/publication/348294503_Sliding_Mean_Value_Subtraction-Based_DC_Drift_Correction_of_B-H_Curve_for_3D-Printed_Magnetic_Materials [accessed Jan 07 2021].


Keywords
additive manufacturing; convolution; infinite impulse response (IIR) filters; additive white noise; DC drift; magnetic flux density; magnetic hysteresis; kernel; magnetic materials
DOI
10.3390/en14020284
Hyperlink
https://www.mdpi.com/1996-1073/14/2/284

Asad, B., Tiismus, H., Vaimann, T., Belahcen, A., Kallaste, A., Rassolkin, A., Shams Ghahfarokhi, P. Sliding Mean Value Subtraction-Based DC Drift Correction of B-H Curve for 3D-Printed Magnetic Materials. Energies, 2021, Vol. 14, No. 2, pp.1-10. ISSN 1996-1073. Available from: doi:10.3390/en14020284

Publication language
English (en)
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