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An adaptive Newton-Raphson technique for combined vector-scalar potential solutions of large scale 3D magnetic field problems involving anisotropic materials

机译:涉及各向异性材料的大规模3D磁场问题的矢量-标量势组合的自适应Newton-Raphson技术

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摘要

An adaptive Newton-Raphson (ANR) technique for handling magnetic material nonlinearities in large-scale 3-D magnetic field problems, for use in conjunction with combined vector-scalar potential 3-D finite element (FE) formulations, is presented. This ANR iterative technique enhances the quality of convergence of the magnetic field solution, as evidenced by a truly 3-D magnetic field case study of a modified Lundell alternator (MLA) performed using CRAY-YMP supercomputers. The method worked very well in the case study of a 14.3-kVA MLA, in which the number of Fe grid tetrahedrons exceeded 113000 with more than 20000 magnetic scalar potential (MSP) unknowns. The results compared very well with corresponding experimental test data.
机译:提出了一种自适应牛顿-拉夫森(ANR)技术,用于处理大规模3D磁场问题中的磁性材料非线性问题,并与矢量标量势3D有限元(FE)组合公式结合使用。这种ANR迭代技术提高了磁场解决方案的收敛质量,这是使用CRAY-YMP超级计算机对改进的Lundell交流发电机(MLA)进行的真实3D磁场案例研究所证明的。该方法在14.3 kVA MLA的案例研究中效果很好,其中Fe网格四面体的数量超过113000,具有超过20000的磁性标量电势(MSP)未知数。结果与相应的实验测试数据进行了很好的比较。

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