实际上，汽化热与温度有关。
本文还运用“界面汽化热阱”概念对传热机理进行了分析。
Also, the mechanism of this process has been analyzed with the concept of "interfacial vaporization heat sink".
用前向神经网络，对纯物质的蒸气压和汽化热与温度的函数关系进行预测。
A feedforward neural network was used to predict functional relationship of temperature with steam pressure and heat of vaporization of the pure material.
实验结果表明，沸腾时，“界面汽化热阱”效应随热流率的提高而显著增大。
The experimental results show that in the pool nucleate boiling process the "effect of interfacial vaporization heat sink" obviously increases with the heat transfer flux.
另外，依据泡核激活机制的转变并结合界面汽化热阱效应对沸腾滞后进行机理分析。
The boiling hysteresis mechanism has been analyzed on the base of the interfacial vaporization heat sink effect and the change in activation way of boiling nuclei.
由于汽化热的存在，使气温下降，通过所说的热交换器把室外空气降温后送进室内。
The outdoor air which has been cooled by said heat exchanger is passed into room.
预测350种各类物质13117个温度点的汽化热，与文献常用值相比较的总绝对平均误差为2.8％。
The equation was tested for 350 pure substances of 13117 temperature points, the absolute average deviation was 2.8%.
应用八十年代提出的新r - K状态方程序，改进纯物质常沸点汽化热的剩余函数预测法，推导出纯物质常沸点汽化热的新计算方程序。
A new equation for calculating heat of vaporization of pure compounds at normal boiling points is derived with the residual function method improved by the new RK EOS which was proposed in 1980s.
应用八十年代提出的新r - K状态方程序，改进纯物质常沸点汽化热的剩余函数预测法，推导出纯物质常沸点汽化热的新计算方程序。
A new equation for calculating heat of vaporization of pure compounds at normal boiling points is derived with the residual function method improved by the new RK EOS which was proposed in 1980s.
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