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Advances in Computational Electromagnetics II

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: closed (30 January 2023) | Viewed by 3252

Special Issue Editors


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Guest Editor
DIIIE, University of L’Aquila, L'Aquila, Italy
Interests: computational electromagnetics; numerical dosimetry; biological effects of electromagnetic fields; EMF compliance of emerging technologies and medical devices
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Department of Astronautical, Electrical and Energy Engineering, Sapienza University of Rome, via Eu-dossiana 18, 00184 Rome, Italy
2. Research Center on Nanotechnology Applied to Engineering of Sapienza (CNIS), Sapienza University of Rome, via Eudossiana 18, 00184 Rome, Italy
Interests: development and electromagnetic modeling of graphene-based nanocomposites and nanostructured materials for electromagnetic compatibility and sensing applications; radar absorbing materials; piezoresistive sensors; wearable sensor technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Complex magnetic materials, such as superconducting materials, composite or nanomaterials, rare-earth-free permanent magnets, and so on, are becoming increasingly popular in next-generation technologies. The experimental characterization of these materials is often too costly or even not applicable, while fast and efficient computational electromagnetic (CEM) methods are currently available to understand and fully characterize the behavior of such materials.

This Special Issue aims at publishing a collection of research contributions illustrating recent advances in computational electromagnetic techniques needed to model and characterize complex magnetic materials, focusing on the topics listed below

Dr. Valerio De Santis
Dr. Alessandro Giuseppe D’Aloia
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

    • Computational methods for electromagnetics
    • Numerical techniques for solving static and quasi-static fields
    • Material modelling
    • Nanomagnetics modeling
    • Nano-electromagnetic computation
    • Bio-electromagnetic computation
    • Multi-scale modelling and homogenization
    • Electromagnetic inverse problems
    • Optimization and design of electromagnetic devices
    • Novel computational methods for machines and devices
    • computetional electromagnetic of EMC testing procedures
    • computetional electromagnetic for EMF safety
    • computetional electromagnetic of nanostructured materials for EMC and EM applications

Published Papers (2 papers)

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Research

8 pages, 686 KiB  
Communication
A Numerical Comparison between Preisach, J-A and D-D-D Hysteresis Models in Computational Electromagnetics
by Valerio De Santis, Antonio Di Francesco and Alessandro G. D’Aloia
Appl. Sci. 2023, 13(8), 5181; https://doi.org/10.3390/app13085181 - 21 Apr 2023
Cited by 3 | Viewed by 1142
Abstract
The incorporation of hysteresis models in computational electromagnetic software is of paramount importance for the accurate prediction of the ferromagnetic devices’ performance. The Preisach and Jiles-Atherton (J-A) models are frequently used for this purpose. The former is more accurate and can represent a [...] Read more.
The incorporation of hysteresis models in computational electromagnetic software is of paramount importance for the accurate prediction of the ferromagnetic devices’ performance. The Preisach and Jiles-Atherton (J-A) models are frequently used for this purpose. The former is more accurate and can represent a broad range of magnetic materials, but it is computationally expensive. The latter is more efficient but can accurately model only soft ferromagnetic materials. In this paper, a recently proposed hysteresis model, referred to as the D’Aloia-Di Francesco-De Santis (D-D-D) model, is shown to have the best trade-off between accuracy and computational burden. For the first time, a numerical comparison between the Preisach, J-A and D-D-D models is provided for a large class of hysteresis loops including soft, semi-hard and hard ferromagnetic materials. Full article
(This article belongs to the Special Issue Advances in Computational Electromagnetics II)
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13 pages, 5616 KiB  
Article
Analysis of Numerical Artifacts Using Tetrahedral Meshes in Low Frequency Numerical Dosimetry
by Alice Conchin Gubernati, Fabio Freschi, Luca Giaccone and Riccardo Scorretti
Appl. Sci. 2022, 12(13), 6526; https://doi.org/10.3390/app12136526 - 27 Jun 2022
Cited by 4 | Viewed by 1498
Abstract
Anatomical realistic voxel models of human beings are commonly used in numerical dosimetry to evaluate the human exposure to low-frequency electromagnetic fields. The downside of these models is that they do not correctly reproduce the boundaries of curved surfaces. The stair-casing approximation errors [...] Read more.
Anatomical realistic voxel models of human beings are commonly used in numerical dosimetry to evaluate the human exposure to low-frequency electromagnetic fields. The downside of these models is that they do not correctly reproduce the boundaries of curved surfaces. The stair-casing approximation errors introduce computational artifacts in the evaluation of the induced electric field and the use of post-processing filtering methods is essential to mitigate these errors. With a suitable exposure scenario, this paper shows that tetrahedral meshes make it possible to remove stair-casing errors. However, using tetrahedral meshes is not a sufficient condition to completely remove artifacts, because the quality of the tetrahedral mesh plays an important role. The analyses carried out show that in real exposure scenarios, other sources of artifacts cause peak values of the induced electric field even with regular meshes. In these cases, the adoption of filtering techniques cannot be avoided. Full article
(This article belongs to the Special Issue Advances in Computational Electromagnetics II)
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