Material-Density-Based Topology Optimization With Magnetic Nonlinearity by Means of Stabilized Sequential Linear Programming: SLPSTAB
Material-Density-Based Topology Optimization With Magnetic Nonlinearity by Means of Stabilized Sequential Linear Programming: SLPSTAB
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DOI：
10.1109/tmag.2014.2361360
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发表时间：
2015-04
影响因子：
2.1
通讯作者：
Y. Okamoto;Y. Matsubayashi;S. Wakao;Shuji Sato
中科院分区：
文献类型：
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作者：
Y. Okamoto;Y. Matsubayashi;S. Wakao;Shuji Sato
将拓扑优化应用于实际问题时，需要考虑铁芯的非线性磁特性。然而，用于将磁非线性引入到基于材料密度的TO的方案尚未严格建立。本文提出了利用磁非线性的材料密度来实现TO。序列线性规划方法的数值不稳定性是一个众所周知的话题。本文提出了一种稳定化序列线性规划方法，它实现了目标函数的稳定收敛特性，并将其应用于三维磁路设计问题。
The nonlinear magnetic properties of an iron core should be considered when topology optimization (TO) is applied to a realistic problem. However, a scheme for introduction of the magnetic nonlinearity to material-density-based TO has not been rigorously established. In this paper, TO by using material density with magnetic nonlinearity is proposed. The numerical instability of the sequential linear programming method is a well-known topic. The stabilized sequential linear programming method, which realizes the stabilized convergence characteristics of an objective function, is proposed and investigated in the 3-D design problem of a magnetic circuit.