Parameter Equivalent Method of Stator Anisotropic Material Based on Modal Analysis

Zeyu Zhang, Zhiyong Jiao, Hongbing Xia and Yuhan Yao
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Zeyu Zhang: School of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
Zhiyong Jiao: School of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
Hongbing Xia: Automotive Engineering Research Institute of China Automotive Technology and Research Center Co. Ltd., Tianjin 300300, China
Yuhan Yao: School of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China

Energies, 2019, vol. 12, issue 22, 1-18

Abstract: Accurate calculation of the vibration mode and natural frequency of a motor stator is the basis for reducing motor noise and vibration. However, the stator core and winding material parameters are difficult to determine, posing issues which result in modal calculation bias. To address the problem of calibrating the stator material parameters, we developed a parameter correction method based on modal frequency. First, the stator system was simplified to build a stator system finite element model. Secondly, the relationship between modal frequency and material parameters was analyzed by finite element software, the relationship between modal frequency and material parameters was derived, and the anisotropic material parameter correction method was summarized. Finally, a modal experiment was carried out by the hammering method, and the simulation and experimental errors were within 3%, which verified the accuracy of the finite element model. The proposed correction method of anisotropic material can quickly determine the stator material parameters, and the stator core and winding anisotropic material can ensure the accuracy of the modal analysis.

Keywords: correction method of anisotropic material parameters; modal analysis; stator core; winding; modal experiments; finite element analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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