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首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Flow characteristics of HFC407C/HC600a/HC290 refrigerant mixture in adiabatic capillary tubes
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Flow characteristics of HFC407C/HC600a/HC290 refrigerant mixture in adiabatic capillary tubes

机译:HFC407C / HC600a / HC290混合制冷剂在绝热毛细管中的流动特性

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HCFC22, the commonly used refrigerant in window air-conditioner is to be phased out completely due to Montreal Protocol regulations. Hence the search for drop in substitutes to retrofit window air-conditioner is of current interest. Capillary tube is commonly used in domestic refrigeration and air conditioning systems as expansion devices. This paper presents an experimental study on the flow characteristics of HFC407C/HC600a/HC290 a new refrigerant mixture in adiabatic capillary tubes. The experimental work investigates the effect of capillary length, capillary diameter, condensing pressure, and refrigerant subcooling on the mass flow rate through the capillaries. Based on the experimental data for HCFC22 and HFC407C/HC600a/HC290 refrigerant mixture, a new correlation has been developed to predict the mass flow rate through the adiabatic capillary tubes for different operating conditions, capillary tube geometry and refrigerant properties. The non-dimensional correlation predicts closely the mass flow rates which are in good agreement with the experimental data for HCFC22 and HFC407C/HC600a/HC290 with average deviations of 0.618% and -0.11% and mean deviations of 5.536% and 4.448%, respectively. The mass flow rates predicted using the developed correlation are found to be in good agreement with the results in published literature also. (c) 2005 Elsevier Ltd. All rights reserved.
机译:根据《蒙特利尔议定书》的规定,将完全淘汰窗户空调中常用的制冷剂HCFC22。因此,寻找替代式窗式空调的替代品是当前的关注点。毛细管通常在家用制冷和空调系统中用作膨胀装置。本文对新型制冷剂混合物HFC407C / HC600a / HC290在绝热毛细管中的流动特性进行了实验研究。实验工作研究了毛细管长度,毛细管直径,冷凝压力和制冷剂过冷对通过毛细管的质量流量的影响。根据HCFC22和HFC407C / HC600a / HC290制冷剂混合物的实验数据,已开发出一种新的相关性,以预测绝热毛细管在不同工况,毛细管几何形状和制冷剂特性下的质量流量。无量纲相关性紧密地预测了质量流量,这与HCFC22和HFC407C / HC600a / HC290的实验数据非常吻合,平均偏差分别为0.618%和-0.11%,平均偏差分别为5.536%和4.448%。发现使用所发展的相关性预测的质量流率也与已发表文献中的结果非常吻合。 (c)2005 Elsevier Ltd.保留所有权利。

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