Method of calculating the magnetic flux density and forces in contact‐free magnetic bearings

Baatz, M.; Hyrenbach, Maik

doi:10.1002/etep.4450010404

Cited by 5 publications

(2 citation statements)

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“…To calculate B H , We assume that the magnet and follicle axes are aligned, and the hall sensor is placed and (considering the small deformation of the beam) remains along the magnet axis despite the magnet displacement. Then from the formula for the magnetic flux on the the symmetry axis of an axially magnetized cylinder magnet [21] we have,…”

Section: B Whisker Sensor Characterizationmentioning

confidence: 99%

A Stiffness Controllable Multimodal Whisker Sensor Follicle for Texture Comparison

et al. 2020

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Mammals like rats, who live in dark burrows, heavily depend on tactile perception obtained through the vibrissal system to move through gaps and to discriminate textures. The organization of a mammalian whisker follicle contains multiple sensory receptors and glands strategically organized to capture tactile sensory stimuli of different frequencies. In this paper, we used a controllable stiffness soft robotic follicle to test the hypothesis that the multimodal sensory receptors together with the controllable stiffness tissues in the whisker follicle form a physical structure to maximize tactile information. In our design, the ring sinus and ringwulst of a biological follicle are represented by a linear actuator connected to a stiffness controllable mechanism in-between two different frequency-dependent data capturing modules. In this paper, we show for the first time the effect of the interplay between the stiffness and the speed of whisking on maximizing a difference metric for texture classification.

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Section: B Whisker Sensor Characterizationmentioning

confidence: 99%

A Stiffness Controllable Multimodal Whisker Sensor Follicle for Texture Comparison

et al. 2020

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“…As seen from the literature, a strong focus has been on the gyrodynamic forces and how to avoid them for mobile FESS application; for example, using a gimbal mount as in [21] Instead numerical methods will be used similar to the method used in [41] [42]. Again, the procedure can be used for most types of permanent magnet bearings although the outcome will vary with type of bearing.…”

Section: Original Contribution Of This Workmentioning

confidence: 99%

Magnetically suspended flywheel in gimbal mount – Nonlinear modelling and simulation

Dagnæs-Hansen

Santos

2018

Journal of Sound and Vibration

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Modelling of non‐linear magnetic bearings with the help of the finite‐element method

Xiao¹,

Weidemann

1996

Int Trans Elec Energy Syst

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This paper is concerned with the modelling of magnetic bearings without premagnetization. The strongly nonlinear relationship between magnetic force, displacement of the rotor xhaft, and regulating magnetomotive force should be modelled accurately. Based on an equivalent magnetic circuit, a model structure with an unknown parameter vector is established. With the help of thefinite-element method this parameter vector is determined by minimizing an errorfunction which describes the difference between the real system and the model. The approach wirh the help of numerical analysing tools such as the finite-element method shows a general way of modelling a compiex system.

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Method of calculating the magnetic flux density and forces in contact‐free magnetic bearings

Cited by 5 publications

References 0 publications

A Stiffness Controllable Multimodal Whisker Sensor Follicle for Texture Comparison

A Stiffness Controllable Multimodal Whisker Sensor Follicle for Texture Comparison

Magnetically suspended flywheel in gimbal mount – Nonlinear modelling and simulation

Modelling of non‐linear magnetic bearings with the help of the finite‐element method

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