2016
DOI: 10.2528/pierm16052101
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Calculation of Force Between Two Ring Magnets Using Adaptive Monte Carlo Technique With Experimental Verification

Abstract: Abstract-This paper represents a new simple technique to calculate force between two ring magnets using adaptive Monte Carlo integration technique. Elementary magnetic force is calculated by discretizing the pole faces of the passive magnets into tiny surfaces. To obtain the resultant force, this elementary force equation is integrated over the dimensions of the ring magnets which incur a multidimensional integration with complicated integral function. This multidimensional integration is solved using adaptive… Show more

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Cited by 6 publications
(3 citation statements)
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“…There are two passive magnetic bearings at the upper and lower portions of the machine shaft. These passive bearings consist of two concentric cylindrical type axially polarized NdFeB permanent magnets [7,8]. The outer magnet is called stator magnet and the inner magnet called rotor magnet.…”
Section: Construction and Working Principle Of Hmbmentioning
confidence: 99%
“…There are two passive magnetic bearings at the upper and lower portions of the machine shaft. These passive bearings consist of two concentric cylindrical type axially polarized NdFeB permanent magnets [7,8]. The outer magnet is called stator magnet and the inner magnet called rotor magnet.…”
Section: Construction and Working Principle Of Hmbmentioning
confidence: 99%
“…The finite element method has high calculation accuracy, but the calculation cycle is the longest. The magnetic-charge method, which can be solved easily with the numerical integration, is mainly used to calculate the magnetic field of the PMs' edges [24]. Fourier series decomposition using the harmonic model of a double Fourier series can accurately describe the magnetic field distribution of each part in machines.…”
Section: Introductionmentioning
confidence: 99%
“…The crude MC method has high integration error and computational burden. Santra et al [11] carried out an adaptive Monte Carlo technique (AMC) to calculate the magnetic force, where the wastage in calculation is avoided using importance sampling. The sample density was optimally selected using Lagrangian method in the integration domain [12] in each iteration.…”
Section: Introductionmentioning
confidence: 99%