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Large scale three-dimensional topology optimisation of heat sinks cooled by natural convection

机译:自然对流冷却散热器的大规模三维拓扑优化

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摘要

This work presents the application of density-based topology optimisation to the design of three-dimensional heat sinks cooled by natural convection. The governing equations are the steady-state incompressible Navier-Stokes equations coupled to the thermal convection-diffusion equation through the Bousinessq approximation. The fully coupled non-linear multiphysics system is solved using stabilised trilinear equal-order finite elements in a parallel framework allowing for the optimisation of large scale problems with order of 20-330 million state degrees of freedom. The flow is assumed to be laminar and several optimised designs are presented for Grashof numbers between 10 and 10. Interestingly, it is observed that the number of branches in the optimised design increases with increasing Grashof numbers, which is opposite to two-dimensional topology optimised designs. Furthermore, the obtained topologies verify prior conclusions regarding fin length/thickness ratios and Biot numbers, but also indicate that carefully tailored and complex geometries may improve cooling behaviour considerably compared to simple heat fin geometries. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项工作提出了基于密度的拓扑优化在自然对流冷却的三维散热器设计中的应用。控制方程是通过Bousinessq逼近与热对流扩散方程耦合的稳态不可压缩Navier-Stokes方程。使用并联框架中的稳定三线性等阶有限元来求解完全耦合的非线性多物理场系统,从而可以优化具有20-3.3亿个状态自由度的大规模问题。假定流为层流,并为10和10之间的Grashof数提供了几种优化设计。有趣的是,观察到优化设计中的分支数随Grashof数的增加而增加,这与二维拓扑优化相反。设计。此外,所获得的拓扑结构验证了关于翅片长度/厚度比和比奥数的先前结论,而且还表明,与简单的翅片几何形状相比,精心定制和复杂的几何形状可以显着改善冷却性能。 (C)2016 Elsevier Ltd.保留所有权利。

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