【摘要】 以液态镓铟合金作为冷却剂的微通道热沉有望成为解决微机电系统散热问题的优良方案。然而,液态镓铟合金的冷却能力与其合金比例相关。为获得最佳铟含量,本文首先建立了BP人工神经网络以获得足够的液态镓铟合金热导率和比热容数据;采用经典理论模型计算了合金黏度及密度;而后利用一个近似分析解模型比较了不同铟含量的液态镓铟合金在微通道热沉中的冷却能力。结果表明,在进口温度分别为303 K和310 K时,最佳铟含量分别为3.9%及3.4%。更多还原

【Abstract】 Micro-channel heat sinks using liquid alloys GaIn_y as coolant may be a promising solution to the heat dissipation of micro-electro-mechanical systems.However,the cooling performance depends on the mass fractions of the components.To find out the appropriate mass fraction of indium,we developed an artificial neural network based on which thermal conductivity and specific heat of liquid GaIn_y were obtained.Meanwhile,the viscosities and densities of various GaIn_y were calculated using classical theoretical models.Then,we compared the cooling performances of micro-channel heat sinks using these liquid GaIn_y based on an analytical model.The appropriate mass fractions of indium were determined to be around 3.9%and 3.4%at two different inlet temperatures of 303 K and310 K,respectively.更多还原