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Adjoint-based shape optimization for radiative transfer using level-set function and volume penalization method
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DOI：10.1016/j.ijheatmasstransfer.2023.124158.png)
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摘要
En 中文
A inverse design of a radiative heat transfer surface is established based on an adjoint analysis com-bined with a level-set function and a volume penalization method. The level-set function is employed to represent an arbitrary complex geometry embedded in a Cartesian grid system, whereas the volume penalization method is applied to simulate a forward radiative transfer problem. Then, the sensitivity of a current shape with respect to a prescribed cost functional is obtained from adjoint analysis, and it is used to update the shape. The entire inverse design procedures including the forward and adjoint anal-yses as well as the shape update based on the adjoint analysis are implemented to an open-source CFD solver, OpenFOAM. Two pure radiation problems from the existing literature are considered for verifying the proposed method. The resultant optimal geometries in both problems show good agreement with the reference data. Finally, the present method is applied to a more complex three-dimensional problem to validate the strength of its applicability to complex geometries.(c) 2023 Elsevier Ltd. All rights reserved.
Keyword:
Radiative transfer
Inverse design
Adjoint method
Level-set function
Volume penalization method
期刊
IF:
5.8
论文数:
2.6W
被引数:
10.3W
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