A new MATLAB and octave interface to a popular magnetics finite element code

Crozier, Richard; Mueller, Markus

doi:10.1109/icelmach.2016.7732685

Cited by 22 publications

(14 citation statements)

References 1 publication

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“…For each configuration, the MI is calculated as a function of the frequency, in a range from 0 to 150 MHz or 0 to 1 GHz, depending on the case. To accommodate the intensive computational resources needed, we have made use of the XFEMM implementation of the software [26], which is run in a computer cluster.…”

Section: Numerical Calculation Proceduresmentioning

confidence: 99%

The Performance of the Magneto-Impedance Effect for the Detection of Superparamagnetic Particles

Garcı́a-Arribas

2020

Sensors

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The performance of magneto-impedance sensors to detect the presence and concentration of magnetic nanoparticles is investigated, using finite element calculations to directly solve Maxwell’s equations. In the case of superparamagnetic particles that are not sufficiently magnetized by an external field, it is assumed that the sensitivity of the magneto-impedance sensor to the presence of magnetic nanoparticles comes from the influence of their magnetic permeability on the sensor impedance, and not from the stray magnetic field that the particles produce. The results obtained not only justify this hypothesis, but also provide an explanation for the discrepancies found in the literature about the response of magneto-impedance sensors to the presence of magnetic nanoparticles, where some authors report an increasing magneto-impedance signal when the concentration of magnetic nanoparticles is increased, while others report a decreasing tendency. Additionally, it is demonstrated that sensors with lower magneto-impedance response display larger sensitivities to the presence of magnetic nanoparticles, indicating that the use of plain, nonmagnetic conductors as sensing materials can be beneficial, at least in the case of superparamagnetic particles insufficiently magnetized in an external magnetic field.

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Section: Numerical Calculation Proceduresmentioning

confidence: 99%

The Performance of the Magneto-Impedance Effect for the Detection of Superparamagnetic Particles

Garcı́a-Arribas

2020

Sensors

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“…This algorithm offers the possibility to define bounds as well as nonlinear constraints for the design variables and is well proven in many different research areas. The other software used is xfemm from Crozier and Mueller (2016). It was branched off Finite Element Method Magnetics from Meeker (2018) and offers similar capabilities, with the benefit of APIs for MATLAB.…”

Section: Softwarementioning

confidence: 99%

The Importance of Torque/Speed-Points and Working Cycles in Designing Electric Motors

Schmelcher¹,

Büning²,

Kreisköther³

et al. 2018

Proceedings of the 8th International Conference on Research in Engineering, Science and Technology

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Designing electric motors is a task, where various requirements and objectives have to be met simultaneously. To achieve this, different approaches to the design optimization problem of electric motors have been developed. Especially today, one of the most important properties of an electric motor is its efficiency. Therefore, it is important to include the efficiency into the design process since at this stage, gains in energy efficiency can be made very cost-effective. Typically, state of the art is to consider only distinct operational points and not the whole operational cycle in the design optimization.To demonstrate that the whole working cycle of an electric motor should be included into the design optimization, is subject of this paper. Based on a literature survey of recent design optimization methods the current state of the art will be presented. The main objective of this paper is dedicated to the design of a permanent magnet synchronous motor. Using genetic algorithms, the motor will be designed several times with varying operational points. As will be seen, for the sake of minimal energy requirement, the whole working cycle and not only distinct operational points have to be considered in the design optimization.

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“…The authors routinely use the free 2D software package FEMM [67] to perform FEM simulations. When the simulation cases are numerous or require heavy computing, they use the xfemm implementation of the same code [68] that can be run in a mainframe computer. This FEM program is designed to solve low-frequency electromagnetic problems, in the sense that it implements the Maxwell equations disregarding the displacement current.…”

Section: Numerical Simulations By Finite Element Methodsmentioning

confidence: 99%

Thin-Film Magneto-Impedance Sensors

Garcı́a-Arribas¹,

Férnández²,

Cos³

2017

Magnetic Sensors - Development Trends and Applications

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We review the state-of-the-art of thin films displaying the magneto-impedance (MI) effect, with focus on the aspects that are relevant to the successful design and operation of thin film-based magnetic sensors. After a brief introduction of the MI effect, the materials and geometries that maximize the performance, together with the measurement procedure for their characterization, are exposed. A nonexhaustive survey of applications is included, mostly with the aim of displaying the capabilities of thin film structures in the field of magnetic sensing, and the variety of topics covered by them. A special emphasis is made on some concepts that are not commonly treated in the literature, such as the influence of the measuring circuit on the magneto-impedance ratio, the geometry optimization by means of numerical simulation by finite element methods, or noise measurements on thin films. Additionally, a brief description of the patterning procedure by photolithography is included, since the major advantage of thin film sensors over other types of magneto-impedance materials as ribbons or wires is the possibility of patterning the sensible element in micrometric shapes, and most of all, their easy integration with the interface microelectronic circuitry.

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A new MATLAB and octave interface to a popular magnetics finite element code

Cited by 22 publications

References 1 publication

The Performance of the Magneto-Impedance Effect for the Detection of Superparamagnetic Particles

The Performance of the Magneto-Impedance Effect for the Detection of Superparamagnetic Particles

The Importance of Torque/Speed-Points and Working Cycles in Designing Electric Motors

Thin-Film Magneto-Impedance Sensors

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