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首页> 外文期刊>Energy Conversion & Management >Application of a novel biological nanofluid in a liquid block heat sink for cooling of an electronic processor: Thermal performance and irreversibility considerations
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Application of a novel biological nanofluid in a liquid block heat sink for cooling of an electronic processor: Thermal performance and irreversibility considerations

机译：新型生物纳米流体在液体块散热器中用于电子处理器冷却的应用：热性能和不可逆性考虑

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摘要

Hydrothermal characteristics and entropy generation of a biological nanofluid containing silver nanoparticles are evaluated in a liquid block heat sink for cooling of an electronic processor. The liquid block under study has 20 channels, and its bottom surface is placed on the processor. Nanoparticles synthesized through plant extract technique from green tea leaves are employed. The degree of improvement in cooling, pumping power, thermal performance and irreversibilities are examined for case of using the nanofluid instead of water. By increasing Reynolds number and particle concentration, temperature distribution becomes more uniform in processor surface and heat transfer coefficient also increases. Furthermore, the surface temperature decreases with increasing concentration and Reynolds number, such that it reduces by 2.21 degrees C in case of using the nanofluid with concentration of 1% instead of water at Reynolds number of 500. Moreover, maximum temperature of the processor surface decreases by increasing Reynolds number and concentration and therefore, the possibility of hot spot formation diminishes. Results show that at a constant work consumption, the nanofluid also presents better cooling compared to water. Entropy generation analysis reveals that irreversibility in the whole liquid block decreases with increasing either concentration or Reynolds number, which is a positive result based on second law of thermodynamics. (C) 2017 Elsevier Ltd. All rights reserved.
机译：在用于电子处理器冷却的液块散热器中评估了含银纳米颗粒的生物纳米流体的水热特性和熵产生。研究中的液体块有20个通道，其底面放在处理器上。使用通过植物提取技术从绿茶叶合成的纳米粒子。对于使用纳米流体代替水的情况，研究了冷却，泵送功率，热性能和不可逆性的改善程度。通过增加雷诺数和颗粒浓度，处理器表面的温度分布会变得更加均匀，并且传热系数也会增加。此外，表面温度随着浓度和雷诺数的增加而降低，因此在使用雷诺数为500的浓度为1％的纳米流体代替水的情况下，表面温度降低了2.21摄氏度。而且，处理器表面的最高温度降低了通过增加雷诺数和浓度，因此减少了形成热点的可能性。结果表明，与水相比，在恒定的工作量下，纳米流体还具有更好的冷却效果。熵产生分析表明，整个液体块的不可逆性随浓度或雷诺数的增加而减小，这是基于热力学第二定律的肯定结果。 （C）2017 Elsevier Ltd.保留所有权利。

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