Two-phase flows of refrigerants commonly occur in a multitude of systems in the power and process industries, including heat pumps, organic flash cycle,... These flows often have to pass through T-junctions to divide the inlet stream into two outlet streams. Herein, phase maldistribution can occur, meaning that the vapour qualities in the outlet are not equal to the inlet vapour quality. Undesired splitting could lead to unwanted effects, such as to much superheat after evaporation if less liquid phase entered the corresponding exit branch than was expected. Or liquid impact in turbines when to much liquid was allowed to flow to the turbine. Therefore, gaining insight into phase maldisdribution for refrigerants is important to be able to predict the amount of each phase in each exit branch.

In literature, data is mostly available for air-water flows and models are built and validated solely on these datasets. The present work extends the air-water data of phase distribution over a horizontal impacting T-junction with data on different refrigerants. For this purpose an experimental setup was developed which can test refrigerant flows with mass flux $G$ up to 700 ${\text{kg.m}}^{-2}.{\text{s}}^{-1}$ at a saturation temperature between 10 ${}^{\circ }$C and 20 ${}^{\circ }$C and with a vapour quality $x$ between 0 and 1. In total 551 experiments were performed with four different refrigerants: R32, R134a, R125 and R1234ze.

For inlet superficial liquid velocities equal or higher than 0.2m/s it was found that with increasing inlet superficial vapour velocities, the amount of liquid phase flowing to the branch with the lowest mass flow rate decreased. This trend is consistent with literature.

A discontinuity in this trend was observed when a flow regime transition occured. For the refrigerant R32 and an inlet superficial liquid velocity equal or lower than 0.1 m/s, the liquid phase followed an opposite trend by preferring the branch with the highest mass flow rate.

The models from literature do not predict the refrigerant data with the necessary accuracy. They only work for specific refrigerants and for inlet flow regimes similar to the flow regimes of the air-water data used to construct the model. For this reason, the provided work also presents a new phase distribution model created upon the data gathered.

制冷剂的两相流通常出现在电力和加工工业的众多系统中，包括热泵、有机闪蒸循环……这些流通常必须通过 T 型接头才能将入口流分成两个出口流. 在此，可能发生相分布不均，这意味着出口中的蒸汽质量不等于入口蒸汽质量。不希望的分裂会导致不希望的影响，例如如果进入相应出口分支的液相少于预期，则蒸发后过热度过高。或者当过多的液体被允许流到涡轮机时，涡轮机中的液体冲击。因此，深入了解制冷剂的相分布不均对于能够预测每个出口支路中每一相的数量非常重要。

在文献中，数据大多可用于空气-水流，并且模型仅在这些数据集上构建和验证。目前的工作扩展了水平冲击 T 型接头上的空气-水相分布数据，其中包含不同制冷剂的数据。为此，开发了一种实验装置，可以测试具有质量流量的制冷剂流量$G$ 高达 700 ${\text{公斤.米}}^{-2}.{\text{秒}}^{-1}$ 在饱和温度 10 ${}^{\circ }$C 和 20 ${}^{\circ }$C和具有蒸汽质量 $X$ 介于 0 和 1 之间。总共使用四种不同的制冷剂进行了 551 次实验：R32、R134a、R125 和 R1234ze。

对于等于或高于 0.2m/s 的入口表观液体速度，发现随着入口表观蒸汽速度的增加，流向具有最低质量流量的分支的液相量减少。这一趋势与文献一致。

当发生流态转变时，观察到这种趋势的不连续性。对于制冷剂 R32 和入口表面液体速度等于或低于 0.1 m/s，液相遵循相反的趋势，优先选择具有最高质量流量的支路。

文献中的模型不能以必要的精度预测制冷剂数据。它们仅适用于特定的制冷剂和入口流态，类似于用于构建模型的空气-水数据的流态。出于这个原因，所提供的工作还提出了根据收集的数据创建的新相位分布模型。