Analysis of eddy current field for new type of thrust bearings based on single-objective genetic algorithm

被引:1
|
作者
Xiao Ling [1 ]
He Xiwu [1 ]
Cheng Wenjie [1 ]
机构
[1] Xian Univ Sci & Technol, Coll Sci, Xian, Shaanxi, Peoples R China
关键词
Magnetic thrust bearing; soft magnetic composites; single-objective optimization model; eddy current field;
D O I
10.3233/JAE-209330
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Based on the working condition of the magnetic thrust bearing (MTB), the single-objective optimization model (SOOM) is built. The optimum design of structure parameters for two types of magnetic bearings including traditional carbon bearing and soft magnetic composite (SMCs) bearing has been carried out using genetic algorithm. The analysis of eddy current field for two types of bearings are obtained by FEM. It is found that the maximum eddy current field of SMCs bearing is less than that of carbon steel one, and the air gap magnetic density is larger than that of carbon steel bearing at the same frequency. SMCs obtained by the compression of insulated soft magnetic powders have low eddy current. Thus, under the same magnetic force conditions, the input current of SMCs bearings is lower than that of carbon steel ones. The analysis shows that SMCs can replace carbon steel and has superiority in bearing application.
引用
收藏
页码:263 / 270
页数:8
相关论文
共 50 条
  • [1] Single-objective tracking algorithm based on Siamese networks
    Miao, Zong-cheng
    Gao, Shi-yan
    He, Ze-min
    Ou, Yuan
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2023, 38 (02) : 256 - 266
  • [2] Single-Objective Genetic Algorithm for Dynamic Optimization of Reconfigurable Antenna Systems
    Resteghini, Laura
    Lanzi, Pier Luca
    Nebuloni, Roberto
    Riva, Carlo
    Capsoni, Carlo
    Gabellini, Piero
    2013 7TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2013, : 1333 - 1335
  • [3] Using Single-objective Genetic Algorithm for Land Consolidation Distribution Process
    Eroglu, Huseyin
    Sisman, Yasemin
    GEOMATIK, 2020, 5 (02): : 91 - 99
  • [4] Bilevel single-objective optimization algorithm based on transfer learning
    Yang N.
    Liu H.
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2022, 50 (05): : 143 - 148
  • [5] Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building
    Sherer, Eric A.
    Sale, Mark E.
    Pollock, Bruce G.
    Belani, Chandra P.
    Egorin, Merrill J.
    Ivy, Percy S.
    Lieberman, Jeffrey A.
    Manuck, Stephen B.
    Marder, Stephen R.
    Muldoon, Matthew F.
    Scher, Howard I.
    Solit, David B.
    Bies, Robert R.
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2012, 39 (04) : 393 - 414
  • [6] Single-objective Optimization of Thermo-electric Coolers Using Genetic Algorithm
    Khanh, Doan V. K.
    Vasant, P.
    Elamvazuthi, Irraivan
    Dieu, Vo N.
    3RD INTERNATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED SCIENCES (ICFAS 2014): INNOVATIVE RESEARCH IN APPLIED SCIENCES FOR A SUSTAINABLE FUTURE, 2014, 1621 : 86 - 93
  • [7] Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building
    Eric A. Sherer
    Mark E. Sale
    Bruce G. Pollock
    Chandra P. Belani
    Merrill J. Egorin
    Percy S. Ivy
    Jeffrey A. Lieberman
    Stephen B. Manuck
    Stephen R. Marder
    Matthew F. Muldoon
    Howard I. Scher
    David B. Solit
    Robert R. Bies
    Journal of Pharmacokinetics and Pharmacodynamics, 2012, 39 : 393 - 414
  • [8] Optimum Design and Analysis of Thrust Magnetic Bearings Using Multi Objective Genetic Algorithms
    Rao, Jagu S.
    Tiwari, Rajiv
    INTERNATIONAL JOURNAL FOR COMPUTATIONAL METHODS IN ENGINEERING SCIENCE & MECHANICS, 2008, 9 (04): : 223 - 245
  • [9] New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern
    Kudela, Jakub
    Matousek, Radomil
    IEEE ACCESS, 2022, 10 : 8262 - 8278
  • [10] Novel Single-objective Optimization Problem and Firefly Algorithm-based Optimization Method
    Oosumi, Ryuta
    Tamura, Kenichi
    Yasuda, Keiichiro
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 1011 - 1015