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Original Articles

Optimum Design and Analysis of Axial Hybrid Magnetic Bearings Using Multi-Objective Genetic Algorithms

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Pages 10-27 | Published online: 17 Feb 2012

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Jagu S. Rao & R. Tiwari. (2015) A Pareto Optimal Design Analysis of Magnetic Thrust Bearings Using Multi-Objective Genetic Algorithms. International Journal for Computational Methods in Engineering Science and Mechanics 16:2, pages 71-85.
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Articles from other publishers (6)

Mengyao Wu, Huangqiu Zhu, Hao Zhang & Weiyu Zhang. (2023) Modeling and Multilevel Design Optimization of an AC–DC Three-Degree-of-Freedom Hybrid Magnetic Bearing. IEEE Transactions on Industrial Electronics 70:1, pages 233-242.
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Zhao Yulan, Ding Hongchun, Zhang Guangchun, Zhang Haochun, Yang Guojun & Zhao Lei. (2022) Experimental analysis of a large range of the load capacity for the axial AMB in the HTR-PM. Annals of Nuclear Energy 177, pages 109307.
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Yu-Cheng Chou, Yi-Hua Fan, Madoka Nakajima & Yi-Lin Liao. (2016) Constrained design optimization of active magnetic bearings through an artificial immune system. Engineering Computations 33:8, pages 2395-2420.
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Gabriele Barbaraci. (2014) Axial active magnetic bearing design. Journal of Vibration and Control 22:5, pages 1190-1197.
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Bangcheng Han, Qinjie Xu & Qian Yuan. (2015) Multi-objective Optimization of a Combined Radial-Axial Magnetic Bearing for Magnetically Suspended Compressor. IEEE Transactions on Industrial Electronics, pages 1-1.
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Xu Liu & Bangcheng Han. (2014) The Multiobjective Optimal Design of a Two-Degree-of-Freedom Hybrid Magnetic Bearing. IEEE Transactions on Magnetics 50:9, pages 1-14.
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