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

Bilal Asad,Anton Rassõlkin,Ants Kallaste,Toomas Vaimann,Hans Tiismus,Anouar Belahcen,Payam Shams Ghafarokhi

doi:10.3390/en14020284

Bilal Asad, Anton Rassõlkin + Show 5 more

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https://doi.org/10.3390/en14020284

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Abstract

This paper presents an algorithm to remove the DC drift from the B-H curve of an additively 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.

Highlights

Unlike subtractive and injection molding-based manufacturing techniques, additive manufacturing (AM) is gaining heightened popularity
Since our goal is to find out the signal’s envelope pattern, a constant kernel vector of size equal to one cycle of the input signal can be the right choice
The flux density and field strength vectors are calculated from the measured voltage and currents

Summary

Introduction

Unlike subtractive and injection molding-based manufacturing techniques, additive manufacturing (AM) is gaining heightened popularity. It is known as 3D printing, where any object can be built layer upon layer using any AM technique. AM techniques include powder bed fusion (PBF), bed jetting (BJ), direct energy deposition (DED), material extrusion (ME), material jetting (MJ), sheet lamination (SL), vat polymerization (VP), etc. In electrical machines, direct laser melting (DLM) (a subcategory of PBF) has proven its effectiveness. Various materials such as metals, thermoplastics, ceramics, and biochemicals can be handled through AM techniques. The capability to design complex geometries, to create relatively lightweight products, to perform rapid prototyping, and to save time, as well as the lack of need for fixtures or dies, are the prominent advantages of this technology

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