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首页> 外文会议>IMECE2009;ASME international mechanical engineering congress and exposition >EXPERIMENTAL IDENTIFICATION OF COMPONENT PARAMETERS FOR MULTIPLE-EVAPORATOR VAPOR COMPRESSION REFRIGERATION CYCLE
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EXPERIMENTAL IDENTIFICATION OF COMPONENT PARAMETERS FOR MULTIPLE-EVAPORATOR VAPOR COMPRESSION REFRIGERATION CYCLE

机译：多蒸发器蒸气压缩制冷循环成分参数的实验鉴定

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Vapor compression refrigeration cycles have become a promising alternative for high-heat-flux electronic cooling. Still, this area of research lacks the modeling and control design tools to facilitate its practical implementation. At Rensselaer simulation models for system level design and algorithms for temperature control are being developed to bridge that gap. However, these models need to be validated by experimental results. Since the models are not entirely based on first-principle equations, the empirical relations should be matched to the particular experimental setup used for validation. Therefore, the first step towards validation is the identification of empirical parameters that are intrinsic to the experimental apparatus and are required for the simulation. Consequently, this paper presents the experimental identification of the expansion valve coefficient, and the compressor's volumetric efficiency used in the model. Experiments are performed at different expansion valve openings and different compressor speeds until steady-state is reached. The steady-state data is used to obtain the expansion valve coefficients, and the compressor's volumetric efficiency. Finally, the data is used to obtain correlations, which are adequately accurate with reasonable computation cost, for each of the evaluated parameters to be incorporated into the simulation model.
机译：蒸气压缩式制冷循环已成为高通量电子冷却的有前途的替代方法。尽管如此，该研究领域仍缺乏建模和控制设计工具来促进其实际实施。在Rensselaer，正在开发用于系统级设计的仿真模型和用于温度控制的算法，以弥合这一差距。但是，这些模型需要通过实验结果进行验证。由于模型并非完全基于第一性原理，因此经验关系应与用于验证的特定实验装置相匹配。因此，迈向验证的第一步是确定实验设备固有的和仿真所需的经验参数。因此，本文提出了膨胀阀系数的实验识别，以及模型中使用的压缩机的容积效率。在不同的膨胀阀开度和不同的压缩机速度下进行实验，直到达到稳态。稳态数据用于获得膨胀阀系数和压缩机的容积效率。最后，对于要结合到仿真模型中的每个评估参数，使用数据来获得相关性，并以合理的计算成本获得足够的准确度。

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