Prof. Tao He Profile

Prof. Tao He

at Wuhan Second Ship Design and Research Institute

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Proceedings Article | 19 October 2022 Paper

A semi-analytical calculation method for transmitted torque of permanent magnet couplers

Minghao Sun, Xikang Cheng, Weiqi Luo, Yang Zhang, Wei Liu, Tao He

Proceedings Volume 12294, 1229452 (2022) https://doi.org/10.1117/12.2641939

KEYWORDS: Magnetism, Finite element methods, 3D modeling, Circuit switching, Testing and analysis, Mathematical modeling, Statistical modeling, Reliability, Sensors, Rubidium

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Transmitted torque of permanent magnet couplers (PMCs) is the core index to evaluate its transmission performance. A semi-analytical calculation method for transmitted torque of the PMC is established to solve those problems that the analytic method is difficult to fully consider the specific details of the three-dimensional (3D) PMC, the calculation accuracy is insufficient, and the finite element model (FEM) has numerical oscillation and the calculation accuracy is float. The analytical model and the FEM are combined in this method, can effectively calculate and predict the transmission performance of the permanent magnet coupler. First, according to geometric structure, a magnetic equivalent circuit model is established to solve internal magnetic induction intensity. Based on the relationship between the eddy current density and the magnetic induction intensity, and considering the 3D end effect, an analytical model of transmitted torque is constructed. Second, a 3D FEM of the unipolar PMC is established, and the transmission performance by the finite element calculation is obtained. On this basis, using the entropy method to combine the magnetic circuit equivalent model with the FEM, a semi-analytical calculation method for the transmitted torque is presented. Finally, an experimental platform is built to verify the method. The results show that under normal working conditions, the proposed method for calculating the transmitted torque has a good consistency, and the relative error is within 6.5%. This method can provide a theoretical basis for the analysis, design, and optimization of PMCs.

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