毛细管内R410A两相流摩擦因子关联式研究

Study on correlation for R410A two-phase flow frictional factor in capillary tubes

准确预测毛细管内两相流制冷剂的压降是提高毛细管分流精度的基础,而高精度的毛细管内制冷剂两相流摩擦因子关联式又是准确预测毛细管压降的关键。本文拟合得到毛细管内R410A两相流摩擦因子关联式,并给出基于近似积分的毛细管压降计算模型。试验验证表明:基于Blasius公式拟合的毛细管内R410A两相流摩擦因子关联式的平均预测误差为±5.3%,95%的数据点的预测误差在±20%以内,而基于本文提出的毛细管内R410A两相流摩擦因子关联式的压降计算结果与试验数据的误差在±12%以内,平均误差在±5%以内,相比Blasius公式具有更高的计算精度。

Accurate prediction on two-phase flow refrigerant pressure drop inside capillary tubes is the basis of improving distribution uniformity,which relies on a high precision correlation for two-phase flow frictional factor of refrigerant in capillary tubes.A fitted correlation for R410A two-phase flow frictional factor is obtained,and a pressure drop model in capillary tubes based on approximate integration is given.The test validation results show that the average prediction error of the correlation for R410A two-phase flow frictional factor based on Blasius Equation is ±5.3%,and the errors are all within ±20% for the 95% data.The errors between the calculation results of pressure drop based on the proposed correlation and the experimental data are within ±12%,and the average error is within ±5%,which has higher accuracy compared with Blasius Equation.