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Topology optimization design of nanofluid-cooled microchannel heat sink with temperature-dependent fluid properties

机译:纳米流体冷却微通道散热器具有温度依赖性液体性能的拓扑优化设计

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The geometric structure of a two-dimensional (2-D) nanofluid-cooled microchannel heat sink (NMHS) is optimized using a topology optimization method. We describe the flow and heat transfer in the NMHS as a singlephase nanofluid-based convective heat transfer model. Since the thermophysical properties of the nanofluid strongly depend on temperature, the temperature-dependent fluid properties are considered in the model. A heat transfer maximization problem is studied under a constant pressure difference using a density based topology optimization method to optimize configurations of NMHS. In the optimization, the material density is adopted as the design variable to control the variation of the fluid domain. An adjoint-based sensitivity analysis method is applied to obtain the gradient information used for updating the design variable. In numerical examples, the effects of temperature-dependent fluid properties on the optimal configurations of the NMHS are first investigated. Additionally, the effects of the characteristics of the nanofluid, such as the base fluid, nanoparticle volume fraction and diameter, on optimized designs are assessed. The numerical results reveal that the temperature-dependent fluid properties can significantly affect the optimal results; more branched flow channels are produced in the optimal configurations as the pressure difference or heat generation coefficient increases; and more complex optimal configuration can be obtained by reducing the nanoparticle volume fraction. From an engineering standpoint, this study provides an applicable optimization method for the design of a well-performing NMHS.
机译:使用拓扑优化方法优化二维(2-D)纳米流体冷却的微通道散热器(NMH)的几何结构。我们描述了NMHS中的流动和传热作为唯胞源性纳米流体的对流传热模型。由于纳米流体的热理性能强烈地依赖于温度,因此在模型中考虑温度依赖性的流体性质。使用基于密度的拓扑优化方法在恒定压力差下研究了传热最大化问题,以优化NMHS的配置。在优化中,采用材料密度作为控制流体域的变化的设计变量。应用基于伴随的敏感性分析方法来获得用于更新设计变量的梯度信息。在数值例子中,首先研究了最初研究温度依赖性流体性质对NMHS的最佳配置的影响。另外,评估纳米流体,纳米颗粒体积分数和直径的纳米流体特性的影响,得到优化的设计。数值结果表明,温度依赖性的液体性能会显着影响最佳结果;随着压力差或发热系数增加,在最佳配置中产生更多分支流动通道;通过降低纳米颗粒体积分数,可以获得更复杂的最佳配置。从工程角度来看,该研究提供了一种适用的优化方法,用于设计良好的NMHS。

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