Accurate Prediction of Leakage Flux Boundaries for an Axial-Flux MEMS Micromotor Design

Ding, Xiaofeng; Liu, Guanliang; Guo, Hong; Zhang, Chengming

doi:10.1109/tasc.2016.2609924

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…The other powerful micromotor is the brushless DC motors. These demonstrate a high efficiency of 40% [37] and a relatively high output (35 µNm and 40,000 rpm) with a diameter of less than 10 mm [38,39]. Recent focus has been on the improvement of the fundamental characteristics of component technologies, such as a magnetization process to optimize the magnetic field for micromotors [40].…”

Section: A Principle and Scalingmentioning

confidence: 99%

Review: Recent Advances in Micromotors

Mashimo

Izuhara

2020

IEEE Access

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Micromotors are of great interest not only for the miniaturization of current products but also for the realization of future micromachines that can explore challenging environments. The speed of downsizing actuators is slower than that of semiconductor components, but developments over the last two decades have overcome several difficulties and enabled engineers to start designing applications. In this paper, we review the existing micromotors ranging from famous papers to state-of-the-art, in particular recent developments and their applications. We deal with three representative principles for rotary and linear micromotors: electromagnetics, electrostatics, and piezoelectricity. Another purpose of this paper is to suggest design criteria and physical limitations on these principles for engineers who design millimeter-scale automation devices. Incorporating micromotors can permit space saving and improve design flexibility in application designs, such as smartphones and medical devices.

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Section: A Principle and Scalingmentioning

confidence: 99%

Review: Recent Advances in Micromotors

Mashimo

Izuhara

2020

IEEE Access

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“…Within this technique, frequency analysis and peak point can be examined to identify defect characterization. More recent, Ding et al (2016) [6] applied a Response Surface Methodology (RSM) to optimized input parameter values and validate the relationship between variable and response by using statistical fitting method before using Finite Element Analysis (FEA) to validate the optimized parameter.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Defect for Magnetic Flux Leakage in Non-Destructive Test using I-Kaztm

Sharif *,

Ramli,

Nuawi

et al. 2020

IJRTE

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The application of hall sensors in Magnetitic Flux Leakage (MFL) has played an important role in Above Storage Tank (AST) on detection of defect caused by corrosion to improve productivity and to avoid catastrophe. The MFL sensor measured magnetic flux distribution in three axes Bx , By and Bz. Currently, there are several signal monitoring methods constructed by analysing MFL signal distribution upon defect detection. This paper presents the methodology of optimized Integrated Kurtosis-based Algorithm for Z-filter (I-KazTM) Coefficient using multilevel signal decomposition technique to analyse the MFL signal distribution on the defect in the correlation of MFL scanning device speed and position. The MFL scanning device comprises 11 hall effect sensors position in array coupled with a linear guide to ensuring a constant velocity of scanning. In order to obtain an optimum signal distribution, I-KazTM 3D is proposed as one of the derivatives of I-KazTM to analyse multiple velocities of scanning. The characterization of the defect can be estimated by analysing the deflection of magnetic flux leakage in the y-axis, By as the scanner approach the defect region before being analysed by I-KazTM from the beginning until the end of the workpiece.

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