Topology optimization of bilayer thermal scattering cloak based on CMA-ES

被引:4
|
作者
Wang, Wenzhuo [1 ]
Ai, Qing [1 ]
Shuai, Yong [1 ]
Tan, Heping [1 ]
机构
[1] Harbin Inst Technol, Sch Energy Sci & Engn, 92 West Dazhi St, Harbin 150001, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Topology optimization; Thermal scattering; Bilayer cloak; CMA-ES;
D O I
10.1016/j.ijheatmasstransfer.2023.123959
中图分类号
O414.1 [热力学];
学科分类号
摘要
A topology optimization method for the design of thermal cloak is proposed. The thermal scattering the-ory is introduced to pre-define the initial topology of the thermal invisible cloak as two layers to reduce the number of design variables. In bilayer concentric rings, insulating and high thermal conductivity ma-terials are used to mask heat flow and correct thermal properties. Topology optimization based on the CMA-ES strategy is applied to quickly obtain the best configuration of available materials. The influence of the thermal properties of the material on the optimal configuration and the deflection angle of the thermal flux at the boundary surface has been investigated. Numerical simulations were performed to compare the function of the optimal cloak with that of the ideal metamaterial and the single insulating layer. The results show that despite its simple structure, the bilayer scattering cloak exhibits excellent cloaking performance under different thermal boundary conditions. In this work, the perfect scattering elimination is achieved by adjusting the layer thickness ratio of the cloak with the initial defined struc-ture rather than seeking the optimal thermal conductivity of material, so as to avoid the problem of mismatch between the actual and ideal parameters. Compared to continuous optimization method, the pre-defined bilayer structure is easy to manufacture. Our scheme introduces thermal scattering theory to pre-set the initial structure of the topology optimization method, which provides a general, convenient, and efficient means for the design and application of thermally functional materials.(c) 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页数:7
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