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Multi-scale and multi-material topology optimization of channel-cooling cellular structures for thermomechanical behaviors

机译:热机械行为通道冷却蜂窝结构的多尺度和多重材料拓扑优化

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This paper presents a concurrent multi-scale and multi-material topology optimization approach to design cellular structures containing cooling channels for efficient thermal shielding and load carrying capabilities. The structure is composed of cooling channels, voids and metal lattices that are infilled with thermal insolation materials. A coupled thermofluidic and mechanical model with a design-dependent thermal convection is considered at the macro design scale, while the numerical homogenization and surrogate model based approaches are employed to characterize the effective thermoelastic properties of predefined quasi-periodic structure patterns at the sub-level scale. Besides, a multi-material interpolation scheme based on the Porous Anisotropic Material with Penalization (PAMP) is used for topology optimization. The proposed approach can be applied to design the multi-scale topology of the lightweight load-bearing structures, of which the thermal shielding and dissipation are key performance indices in addition to the mechanical properties. The optimized designs exhibit better thermomechanical behaviors compared to those from the mono-scale solid based counterpart at a similar computational cost because of the larger design freedom of the multi-scale composite configuration. Several design examples and verification results are given to demonstrate the applicability of the approach. (C) 2021 Elsevier B.V. All rights reserved.
机译:本文提出了一种并发的多尺度和多材料拓扑优化方法,可以设计封闭通道的蜂窝结构,以实现有效的热屏蔽和负载承载能力。该结构由冷却通道,空隙和金属晶格组成,该空隙和金属格子用隔热材料脱含量。具有设计依赖热对流的耦合热流体和机械模型是在宏观设计规模中考虑的,而基于数值均匀化和代理模型的方法用于表征子级预定义准周期性结构图案的有效热弹性特性规模。此外,基于多孔各向异性材料与惩罚(PAMP)的多重材料插值方案用于拓扑优化。所提出的方法可以应用于设计轻质承载结构的多尺度拓扑结构,其中除了机械性能之外,热屏蔽和耗散是关键性能指标。优化的设计与来自基于单级固体基于固体的对应物相比具有类似的计算成本的优化设计,因为多尺度复合配置的设计自由较大。提供了几种设计示例和验证结果来证明该方法的适用性。 (c)2021 elestvier b.v.保留所有权利。

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