Multiscale modeling of heterogeneous magnetic materials-Reference-Cited by-同舟云学术

Multiscale modeling of heterogeneous magnetic materials

Published:2013-09-12 Issue:3 Volume:27 Page:373-384
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int. J. Numer. Model.

Author:

Bottauscio Oriano¹,Chiampi Mario²,Manzin Alessandra¹

Affiliation:

1. Istituto Nazionale di Ricerca Metrologica; I-10135 Torino Italy

2. Dipartimento Energia, Politecnico di Torino; I-10129 Torino Italy

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jnm.1937/fullpdf

Reference27 articles.

1. Soft-magnetic composites from insulated iron powder and their potential technological applications;Govor;Inorg Mater,2007

2. New possibilities of application of composite materials with soft magnetic properties;Ziębowicz;Journal of Achievements in Materials and Manufacturing Engineering,2007

3. Design and optimization of soft magnetic composite machines with finite element methods;Cros;IEEE Trans Magn,2011

4. Microwave applications of soft ferrites;Pardavi-Horvath;J Magn Magn Mater,2000

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High Frequency Modeling of Granular Soft Magnetic Materials with Local Model Order Reduction;IEEE Transactions on Magnetics;2023

2. Past, present, and future of soft magnetic composites;Applied Physics Reviews;2018-09

3. Multiscale Finite Element Modeling of Nonlinear Magnetoquasistatic Problems using Magnetic Induction Conforming Formulations;Multiscale Modeling & Simulation;2018-01

4. On the approximation of electromagnetic fields by edge finite elements. Part 2: A heterogeneous multiscale method for Maxwell’s equations;Computers & Mathematics with Applications;2017-05

5. T-S fuzzy neural network predictive control for burning zone temperature in rotary kiln with improved hierarchical genetic algorithm;INT J MODEL IDENTIF;2016