High-response inductive electromagnetic sensor

Fujisaki, Keisuke

doi:10.1109/tmag.2003.817080

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…Moreover, the nozzle type [10], thermal field [11], and electromagnetic torque distribution [12] were investigated to reveal the effect of EMS on the fluid flow in the mold. In a series of works by Fujisaki et al [13,14], 3D magnetohydrodynamic calculation models were established to evaluate the characteristics of molten metal, with consideration of the fluid flow, heat transfer, solidification, and free surface in linear mold EMS for billet and slab casters.…”

Section: Introductionmentioning

confidence: 99%

Effect of Electromagnetic Frequency on the Flow Behavior in Mold during Bloom Casting

Wang

et al. 2021

Metals

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Considering solidification, a large eddy simulation (LES) model of two-phase flow was established to simulate the thermal–magnetic flow coupled fields inside a jumbo bloom. The magnetic field was calculated based on Maxwell’s equations, constitutive equations, and Ohm’s law. An enthalpy–porosity technique was used to model the solidification of the steel. The movement of the free surface was described by the volume of fluid (VOF) approach. With the effect of electromagnetic stirring (MEMS), the vortices in the bloom tended to be strip-like; large vortices mostly appeared in the injection zone, while small ones were found near the surface of the bloom. It is newly found that even though the submerged entry nozzle (SEN) is asymmetrical about the bloom, a biased flow can also be found under the effect of MEMS. The reason for this phenomenon is because the magnetic force is asymmetrical and transient. A high frequency will reduce the period of biased flow; however, the frequency should not be too high because it could also intensify meniscus fluctuations and thus entrap slag droplets in the mold. The velocity near the solidification front can also be increased with a higher frequency.

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Section: Introductionmentioning

confidence: 99%

Effect of Electromagnetic Frequency on the Flow Behavior in Mold during Bloom Casting

Wang

et al. 2021

Metals

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“…In most of these devices the data acquisition based on the classical approach of the proximity sensing, which is an essentially harmonic excitation of a sensing head and the detection of one property of the measuring signal, for example the changing of the amplitude, the frequency or the phase shift resulted by the perturbing effect of an approaching metallic target [2] [3]. The greatest challenge is that the different target materials affect the measurement system differently, finally different amplitude change, frequency change or phase shift can be observed for different target materials for the same sensortarget distance.…”

Section: Introductionmentioning

confidence: 99%

“…In most of the sensing applications, for instance in non-destructive testers, metal detectors, inductive proximity sensors and magnetic field sensors (Fericean and Droxler, 2007) the data acquisition is based on the classical approach of the proximity sensing, which is an essentially harmonic excitation of a sensing head and the detection of one parameter of the measuring signal, for example the amplitude change, the frequency change or the phase shift resulted by the perturbing effect of an approaching metallic target (Fujisaki, 2003;Gill, 1988). The insensitivity of the output signal to the target material quality would be a valued feature of inductive sensors, but it is difficult to achieve.…”

Section: Introductionmentioning

confidence: 99%

Finite element modeling and identification of metallic materials step responses

Pólik

Kántor

2014

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Abstract-The paper deals with the numerical analysis of a gradiometric coil arrangement excited by bandwidth limited step function and the identification of responses of metallic targets placed into the vicinity of the coil system. The simulations have been executed for different target materials, i.e. aluminum, steel, stainless steel and for four fictive materials differing systematically from the three real target materials in their magnetic permeability and the electrical conductivity. It was found that the changing of the magnetic permeability has a significant influence to the step response when the electrical conductivity of the target material is low, however it has a less influence to the response of the target for high-conductivity materials. It has been proved that the step response of a metallic target contains relevant information about the target material and the distance between the coil system and the target.

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“…Hereby the identification of materials appears to guide in using for suitable applications. Extensive studies [8][9][10][11] have gained interest on various magnetic materials for its' wide range of application. Especially magneto-inductive effect on soft ferromagnetic materials as well as ferromagnetic materials has been observed by researchers which led to the design of various noncontact sensors over the years.…”

Section: Introductionmentioning

confidence: 99%

An Investigation on Soft Magnetic and Non-Magnetic Materials Under Low Frequency for Biomedical Sensor Application

Khan¹

2012

IIUMEJ

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In consequence of the recent development of magnetic sensors in biomedical sector, the investigation of magneticmaterials has been a contributing factor in application stage. This paper proposes a novel technique to investigate materials by obtaining unique distinctive impedance peaks with unique impedance values. A magneto-inductive sensoris used to measure the induction of magnetic and non-magnetic impedance peaks related to the change in permeability, thus characterizing the materials under low frequency.

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High-response inductive electromagnetic sensor

Cited by 6 publications

References 3 publications

Effect of Electromagnetic Frequency on the Flow Behavior in Mold during Bloom Casting

Effect of Electromagnetic Frequency on the Flow Behavior in Mold during Bloom Casting

Finite element modeling and identification of metallic materials step responses

An Investigation on Soft Magnetic and Non-Magnetic Materials Under Low Frequency for Biomedical Sensor Application

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