Research on Node Data Mapping Algorithm for the 2D Coupling Electromagnetic-Fluid-Thermal Fields
Liu Gang1, Zhang Hanfang2, Chi Cheng1, Li Lin3, Li Huiqi1
1. Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense North China Electric Power University Baoding 071003 China; 2. China Electric Power Research Institute Company Limited Beijing 100192 China; 3. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China
Abstract:In the analysis of the 2D coupling electromagnetic-fluid-thermal fields, which the meshes in electromagnetic domain don't match the meshes in the fluid-thermal domain, the mapping method of the node data need to be studied. In order to map electromagnetic losses to fluid-thermal field accurately, this paper proposed the fast projection algorithm and the radial basis function (RBF) scheme, and presented the mixed method combing the advantages of the two proposed methods. Based on the examples with analytical solutions and the leakage magnetic field mapping of a converter transformer, the feasibility of the three methods were verified, the effects of the grid density on the mapping algorithm accuracy was discussed, the mapping accuracy of the three methods were compared, and the computational efficiency of the fast projection algorithm and the RBF schemes were studied. The result shows that three methods have advantages and disadvantages. For different applications, it is necessary to choose a proper mapping algorithm according to the model and grid features. Above research lay a foundation for the 2D coupling electromagnetic-fluid-thermal fields.
刘刚, 张瀚方, 池骋, 李琳, 李慧奇. 二维电磁场-流体-温度场耦合仿真节点数据映射算法研究[J]. 电工技术学报, 2018, 33(1): 148-157.
Liu Gang, Zhang Hanfang, Chi Cheng, Li Lin, Li Huiqi. Research on Node Data Mapping Algorithm for the 2D Coupling Electromagnetic-Fluid-Thermal Fields. Transactions of China Electrotechnical Society, 2018, 33(1): 148-157.
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