Sequence-Based Environment for Topology Optimization
Sequence-Based Environment for Topology Optimization
复制标题
用于拓扑优化的基于序列的环境
DOI：
10.1109/tmag.2019.2960731
复制
发表时间：
2020
影响因子：
2.1
通讯作者：
D. Lowther
中科院分区：
文献类型：
--
作者：
Arbaaz Khan;Chetan Midha;D. Lowther
提出了一种新的拓扑优化方法，将物料分配问题转化为控制器在设计空间中运动的运动序列搜索问题。此方法强制包含相同材料的离散化设计域中的单元之间的连接。这消除了对最佳结果的任何滤波或平滑的需要，以获得可制造的设计。将遗传算法应用于C型铁心电磁执行器和同步磁阻电动机的优化问题，证明了该方法的有效性。所得到的结果表明，与传统的离散TO方法相比，类似的性能。该方法还提供了利用不同搜索技术（如树搜索算法）的能力。
This article proposes a new topology optimization (TO) method which transforms the material distribution problem into a movement sequence search problem for a controller moving in the design space. This method enforces connectivity between the cells in the discretized design domain that contains the same material. This removes the need for any filtering or smoothing of the optimal result to obtain a manufacturable design. The validity of this method is proved by employing a genetic algorithm on a C-core electromagnetic actuator and a synchronous reluctance motor problem. The results obtained showed similar performance when compared with a conventional discrete TO method. This method also provides the ability to leverage the use of different search techniques such as tree search algorithms.
电磁器件多目标拓扑优化的空间滤波改进免疫算法
DOI：
10.1108/compel-09-2012-0174
发表时间：
2014
期刊：
The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
影响因子：
--
作者：
Takahiro Sato;Kota Watanabe;Hajime Igarashi
通讯作者：
Hajime Igarashi