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Optimization of multilayer micro channels heat sinks cooling system using genetic algorithm

机译:基于遗传算法的多层微通道散热器散热系统优化

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摘要

Cooling of electronic devices is problematic by its nature simply because of the space restriction. Recent advances in high powered miniaturized electronic systems have come at the expanse of very high heat fluxes that pose challenges to thermal management research. Uncontrolled excessive heat may cause thermal fatigue and stresses and the current micro electro-mechanical cooling systems (MEMS) which utilize the single layer micro channel heat sink, introduced a decade ago, may no longer be an adequate solution. Possible extension of the layer of parallel micro channels into a stacked system, by developing two, three, and multi-layer channel systems are being investigated. The design of all these systems depends on several parameters; coolant type, channel geometry, channel dimensions, and the number of the channels. This paper reports a new model for optimizing the thermal resistance, developed based on specific parameters of the dimensions of the channel, the wall width between the channels, and using water as a coolant at 27°C. The outcomes of the model were compared with other published studies. The results showed that the model is valid and reliable for further studies.
机译:仅由于空间限制,电子设备的冷却就其性质而言是有问题的。高功率小型化电子系统的最新发展是在非常高的热通量的膨胀下进行的,这对热管理研究提出了挑战。不受控制的过多热量可能会导致热疲劳和应力,并且十年前推出的利用单层微通道散热器的当前微机电冷却系统(MEMS)可能不再是合适的解决方案。通过开发两层,三层和多层通道系统,正在研究将并行微通道层扩展到堆叠系统的可能性。所有这些系统的设计取决于几个参数。冷却液类型,通道几何形状,通道尺寸和通道数量。本文报告了一种用于优化热阻的新模型,该模型是根据通道尺寸,通道之间的壁宽以及在27°C下使用水作为冷却剂的特定参数开发的。该模型的结果与其他已发表的研究进行了比较。结果表明该模型是有效的,值得进一步研究。

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