Electromagnetic Property Modeling of the Soft Magnetic Composite Material Based on the Limiting Loop Method

Publication Type:
Journal Article
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2018, 33 (20), pp. 4739 - 4745
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基于极限磁滞回线法的软磁复合材料磁特性模拟_段娜娜.pdfPublished Version1.06 MB
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© 2018, Electrical Technology Press Co. Ltd. All right reserved. The soft magnetic composite materials have undergone significant development due to their unique advantages such as low eddy current loss, quasi-isotropy of mechanical and magnetic properties, great design flexibility, low cost and low material consumption during the production process. These materials are suitable for some special electromagnetic devices with 3-D magnetic flux paths, such as transverse flux, claw pole, and axial flux permanent magnet motors. Since the soft magnetic composite materials have been widely used with satisfaction, the magnetic properties, i.e., major hysteresis loops, minor hysteresis loops, and reversal curves, need to be fully understood for developing high performance electromagnetic devices. In this paper, the limiting loop method based on the Preisach model is introduced to simulate the magnetic properties of soft magnetic composite material. A new formulation of the normal Preisach model was derived based on a graphical description of the Preisach theory of magnetic hysteresis. With the help of the Preisach diagrams for the limiting hysteresis loop, the difficulty of identifying the elementary dipole distribution function was circumvented. The new parameter identification method only requires the limiting hysteresis loop as the input data. Besides, to simulate the magnetic properties under different stress, the effect of stress on the magnetization process is taken into account in the improved limiting loop method. Finally, to verify the proposed model, the magnetic properties of SOMALOYTM 500, a classical type of SMC material, are simulated and compared with the experimental results. The accuracy and effectiveness of the model are validated by the actual measurement.
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