Torque and loss calculation of rotating machines considering laminated cores using post 1-D analysis

Yamazaki,; Fukushima,

doi:10.1109/cefc.2010.5481559

Cited by 3 publications

(5 citation statements)

References 5 publications

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“…The fact that this method gives acceptable results of the core losses in various kinds of rotating machines has been already confirmed in [5] and [6]. [4].…”

Section: Calculation Methodsmentioning

confidence: 63%

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Investigation of Locked Rotor Test for Estimation of Magnet PWM Carrier Eddy Current Loss in Synchronous Machines

et al. 2012

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The measurement method on the basis of locked rotor tests has been developed for the estimation of magnet PWM carrier eddy current loss in synchronous machines. In the measurement, the magnet eddy current loss is separated from the other losses by subtracting the loss of the machine without the magnets from that with the magnets under the appropriate control of armature currents and voltages. The 3-D finite element analysis is also carried out in order to confirm the validity of the proposed measurement method. The measured and calculated results are found to be in good agreement. It is clarified that the magnet eddy current loss of the machine can be predicted from the results of the proposed measurement method.

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“…The fact that this method gives acceptable results of the core losses in various kinds of rotating machines has been already confirmed in [5] and [6]. [4].…”

Section: Calculation Methodsmentioning

confidence: 63%

“…On the other hand, the core loss is calculated by using post one-dimensional (1-D) FEA in order to take into account the skin effect within the thickness of the electrical steel sheet used for the core [5], [6]. The input of this analysis is the time variation in the flux density obtained by the 3-D FEA.…”

Section: Calculation Methodsmentioning

confidence: 99%

Investigation of Locked Rotor Test for Estimation of Magnet PWM Carrier Eddy Current Loss in Synchronous Machines

et al. 2012

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“…where W iron is the total iron loss of the stator and rotor cores, and T 3 = 5.9 W is that of the initial model. The iron loss is evaluated using 1D postprocessing method [21]. The optimization settings are the same to those described in the previous section, and the initial shape is set to the one shown in Fig.…”

Section: Sensitivity Analysis Resultsmentioning

confidence: 99%

“…For generating a resultant rotor shape considering more than two characteristics, the following optimization problem is solved:

f=\frac{W_{\mathrm{iron}}}{T_3}\to \min

subject to

{T}_{\mathrm{ave}}\ge {T}_1

{T}_{\mathrm{rp}}\le {T}_2

{\sigma}_{\mathrm{max}}<{\theta}_{\sigma }

where W iron is the total iron loss of the stator and rotor cores, and T 3 = 5.9 W is that of the initial model. The iron loss is evaluated using 1D postprocessing method [21]. The optimization settings are the same to those described in the previous section, and the initial shape is set to the one shown in Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

An Evolutional Topology Optimization of Electric Machines for Local Shape Modification and Visualization of Sensitivity Distribution Based on CMA‐ES

Satô

Watanabe

2022

IEEJ Transactions Elec Engng

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This paper presents an evolutional topology optimization of electric machines, which works like gradient-based local search methods, based on the covariance matrix adaptation evolution strategy (CMA-ES). The present method enables to improve the performance of initial machine shapes without computing the deviation of the objectives. Moreover, for the resultant shapes obtained by the present topology optimization method, this paper also presents a sensitivity analysis method based on the normal distribution which is used to seek for solutions in CMA-ES. Using the present sensitivity analysis method, important parts which contribute to improve a machine characteristic can be visualized. The two present methods are applied to the optimization problem of a synchronous reluctance motor. It is shown that initial rotor shapes defined by designers can effectively be modified using the present optimization method. Moreover, it is also shown that the sensitivity distributions with respect to some machine characteristics are visualized by the present method. In addition, each machine characteristic is respectively improved by modifying the machine shape according to the respective sensitivities.

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“…In addition, an iron loss model that incorporates the phenomenon of skin effect and gives acceptable results for higher order harmonics has been introduced in [8]. Other recent advances are presented in [9]- [13].…”

Section: Introductionmentioning

confidence: 99%

Iron-Loss Computation Using Matlab and Comsol Multiphysics

Wallmark

Bitsi

2020

2020 International Conference on Electrical Machines (ICEM)

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In this paper, which is tutorial in nature, a description together with associated code samples is presented for predicting iron losses from a two-dimensional, finite-element model implemented using Comsol Multiphysics and Matlab. Two different conventional iron-loss models are presented and compared. The parameters for the adopted loss models are determined for an M250-35A-type steel and sample loss-density distributions are presented for different electric machine geometries.

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Torque and loss calculation of rotating machines considering laminated cores using post 1-D analysis

Cited by 3 publications

References 5 publications

Investigation of Locked Rotor Test for Estimation of Magnet PWM Carrier Eddy Current Loss in Synchronous Machines

Investigation of Locked Rotor Test for Estimation of Magnet PWM Carrier Eddy Current Loss in Synchronous Machines

An Evolutional Topology Optimization of Electric Machines for Local Shape Modification and Visualization of Sensitivity Distribution Based on CMA‐ES

Iron-Loss Computation Using Matlab and Comsol Multiphysics

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