Sliding Mean Value Subtraction-Based DC Drift Correction of B-H Curve for 3D-Printed Magnetic Materials

This paper presents an algorithm to remove the DC drift from B-H curve of additively manufactured soft ferromagnetic material. The removal magnetization is crucial for accurate estimation iron losses. based on sliding mean value subtraction each cycle calculated magnetic flux density (B) signal. values (SMVs) are using convolution theorem, where a kernel with length equal size one convolved B recover drifting results toroid measurements made by selective laser melting (SLM)-based 3D printing mechanism. taken at different show effectiveness method.