Network Redundancy: A Key Design Factor for Cooling Networks
Network Redundancy: A Key Design Factor for Cooling Networks
复制标题
网络冗余：冷却网络的关键设计因素
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
A. Najafi
中科院分区：
文献类型：
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作者：
Reza Pejman;A. Najafi
微血管复合材料提供了多种多功能的基础上选择的流体流过嵌入的微通道。微血管复合材料中微通道网络的设计是相当具有挑战性的。实际上，通常期望该设计具有高冷却效率，满足制造和操作约束，并且还具有冗余以增加温度均匀性并减轻潜在微通道堵塞的破坏性影响。在这项研究中，我们提出了一个设计优化框架，以满足这些要求。我们使用混合拓扑/形状（HyTopS）优化方案设计冗余的阻塞容忍冷却网络。在该方法中，优化器可以在形状优化过程中改变设计的拓扑结构。能够修改网络拓扑使优化器能够提供网络冗余，以有效地优化阻塞容限设计。我们还解决了几个数值例子来显示所提出的方法的独特功能。
Microvascular composite offers a variety of multi-functionality based on the choice of fluid flowing through the embedded microchannels. The design of the microchannel network in microvascular composites is quite challenging. Indeed, the design is often expected to have high cooling efficiency, satisfy the manufacturing and operating constraints, and also have redundancy to increase the temperature uniformity and alleviate the destructive effects of potential microchannel blockage. In this study, we present a design optimization framework to satisfy these requirements. We use the Hybrid Topology/Shape (HyTopS) optimization scheme to design a redundant blockage-tolerant cooling network. In this method, the optimizer can change the topology of the design during the shape optimization process. Being able to modify the topology of the network enables the optimizer to provide network redundancy to effectively optimize the design for blockage tolerance. We also solve several numerical examples to show the unique features of the proposed method.