The problem that the exact nonlinear connection between fluids flow and heat transfer in direct contact heat evaporator was studied. The direct contact heat evaporator structure can be optimized and direct contact heat transfer process can be improved with the help of the optimum matching relationship between the complex flow and heat transfer. The methods used are the signal processing technology (i.e., empirical mode decomposition) and the machine learning algorithm (i.e., least squares support vector machine) for calculating experimental heat transfer coefficient here. The important specific and quantitative results are that the volumetric heat transfer coefficient prediction accuracy can be improved by the proposed the hybrid model. When empirical mode decomposition is combined with least squares support vector machine, the accuracy of the hybrid model can be improved by 20% without and 62% with the influencing factors. The conclusions that can be drawn from the results are two-fold. The optimal matching relationship between internal flow characteristics and heat transfer performance can be understood in direct contact heat transfer system for waste heat utilization. The hybrid model can improve the prediction accuracy and efficiency, reduce the number of experiments and costs, save raw materials and shorten the design cycle. Hence, the novelty of the work is that a new hybrid model is proposed for predicting VHTC. The gap it filled in the literature is that the prediction of volumetric heat transfer performance during direct contact heat transfer process is considered. In addition, it is carried out in a highly accurate and highly efficient way using this proposed model.

研究了直接接触式热蒸发器中流体流动与传热之间精确的非线性联系的问题。借助于复杂的流动和热传递之间的最佳匹配关系，可以优化直接接触式热蒸发器的结构，并可以改善直接接触式热传递过程。这里使用的方法是信号处理技术（即经验模式分解）和机器学习算法（即最小二乘支持向量机），用于计算实验传热系数。重要的特定和定量结果是，提出的混合模型可以提高体积传热系数的预测精度。当经验模式分解与最小二乘支持向量机结合使用时，如果没有影响因素，则混合模型的准确性可以提高20％，如果有影响因素，则可以提高62％。从结果中可以得出两个结论。内部流动特性与传热性能之间的最佳匹配关系可以在利用废热的直接接触传热系统中理解。混合模型可以提高预测准确性和效率，减少实验次数和成本，节省原材料并缩短设计周期。因此，工作的新颖之处在于提出了一种新的混合模型来预测VHTC。它填补了文献中的空白是考虑了直接接触传热过程中的体积传热性能的预测。此外，