Mimicking soft magnetic composite geometries algorithmically

descriptionPublicationkeyboard_double_arrow_right Article 21 Mar 2019 English Publisher:SAGE PublicationsJournal:International Journal of Applied Electromagnetics and Mechanics, volume 59, pages 201-208 (issn: 1383-5416, eissn: 1875-8800,

Copyright policy )

Authors: Rasilo Paavo; Karhula Taru; Marjamäki Antero; Panchal Jay; Vesa Joonas;

doi: 10.3233/jae-171032

Mimicking soft magnetic composite geometries algorithmically

- Summary
- Metrics

Abstract

In this paper we describe an algorithmic method to imitate geometries of soft magnetic composites. We use microscope images to determine some of the most important geometric characteristics of the material and optimize the algorithm such that the measured and simulated characteristics are in agreement. We compute the static magnetization curves using the geometries obtained from the images and the algorithm comparing the results. The aim is to produce realistic geometries to be used in homogenization schemes as well as to study the effects of magnetic contacts in general.

Related Organizations

Tampere University
Finland
Tampere University of Technology

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average