A new general explicit correlation is proposed to predict the heat transfer coefficient of fluids condensing in conventional and mini channels. The expression has been developed by correlating the Nu_mix number with Re_mix, Pr_mix, phase density ratio, P_res, We_GT, and Fr_L using genetic programming for the two-phase flow. The model has been validated with a big dataset consisting of 6521 data samples, covering a wide range of fluids used in refrigeration and heat pump industries, cross-sectional geometries (different diameters), mass fluxes, and saturation temperatures. The new generalized correlation fits the wide range of data points used with an average relative error of 17.82 %. The same database has been used to compare predictions of eight correlations available in the literature, but they failed to give a reasonable estimation of the present experimental results.

提出了一种新的一般显式相关性，以预测在常规通道和微型通道中冷凝的流体的传热系数。通过将Nu_混合数与Re_混合，Pr_混合，相密度比，P _res，We _GT和Fr _L相关联来开发表达式。使用遗传程序设计两相流。该模型已通过包含6521个数据样本的大型数据集进行了验证，涵盖了制冷和热泵行业中使用的各种流体，横截面几何形状（不同直径），质量通量和饱和温度。新的广义相关性适合使用的数据点范围广泛，平均相对误差为17.82％。相同的数据库已被用于比较文献中可用的八种相关性的预测，但是它们未能给出当前实验结果的合理估计。