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Design Optimization for Pullout Torque Improvement of a Magnetic Coupling in Chemical Pump Application

Journal of Magnetics, Volume 26, Number 1, 31 Mar 2021, Pages 60-66
Se-Hyun Rhyu (Intelligent Mechatronics Research Center, Korea Electronics Technology Institute (KETI)), Sunil Kumar * (Intelligent Mechatronics Research Center, Korea Electronics Technology Institute (KETI)), Salman Khaliq (Intelligent Mechatronics Research Center, Korea Electronics Technology Institute (KETI)), Myung-Hwan Yoon (Intelligent Mechatronics Research Center, Korea Electronics Technology Institute (KETI)), Jeong-Eui Yun (School of Mechanical System Engineering, Kangwon National University), Sang-Seon Lee (President & Chief Executive Officer (CEO), Fluonics Co., Ltd)
Abstract
This paper presents magnet shape optimization of permanent magnet coupling (PMC) for a 50 hp chemical
pump system considering the linear and non-linear design parameters. Firstly, the size and topology of PMC
are considered for the initial model. PM eddy currents are analyzed to select the initial model. Secondly, an
optimization process is performed to get the maximum pullout torque for a given PM volume. The optimization
is based on a two step process; firstly, non-linear design parameters are considered for optimization using
2-D finite element method (FEM). The optimization is performed to maximize the pullout torque of the PMC
and reducing the PM volume. Kriging method and genetic algorithm are utilized due to the non-linearity of the
design parameters in the optimization process. Secondly, linear design parameters are adjusted and 3-D FEM is
utilized to achieve the target and incorporate the end effects. Using two-step design process, the number of
design parameters are reduced in the first step which simplify the optimization process and computational time
is reduced using 2-D FEM. After that, the axial length of the PMC can be used as a linear design parameter to
obtain the required pull-out torque. The optimized model is then simulated using 3-D FEM to incorporate the
end effects and experimental results are then presented.
Keywords: finite element method (FEM); genetic algorithm (GA); and permanent magnet coupling (PMC)
DOI: https://doi.org/10.4283/JMAG.2021.26.1.060
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