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首页> 外文期刊>International Journal of Refrigeration >Novel method for prediction of normal boiling point and enthalpy of vaporization at normal boiling point of pure refrigerants: A QSPR approach
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Novel method for prediction of normal boiling point and enthalpy of vaporization at normal boiling point of pure refrigerants: A QSPR approach

机译:预测纯制冷剂正常沸点和正常沸点汽化焓的新方法:QSPR方法

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摘要

In the present study, new quantitative structure-property relationships (QSPR) were presented to predict the normal boiling point (T_b), and enthalpy of vaporization of pure refrigerants at T_b (ΔH_(vb)). For developing these models, the experimental data of T_b for 192 pure components and the experimental data of ΔH_(vb) for 180 pure components were used. For each component, 1650 molecular descriptors were determined. Enhanced replacement method (ERM), as an effective tool for subset variable selection, was used. The obtained models are multivariate linear equations with five parameters for prediction of T_b and six parameters for prediction of ΔH_(vb). The parameters of models are calculated only from chemical structure of refrigerants. The average absolute relative deviation (AARD, %) and squared correlation coefficient (R~2) of the obtained models over all experimental data are 3.42%, and 0.95 for prediction of T_b, and 6.83%, and 0.96, for prediction of ΔH_(vb), respectively.
机译:在本研究中,提出了新的定量结构-性质关系(QSPR)以预测正常沸点(T_b)和纯制冷剂在T_b时的蒸发焓(ΔH_(vb))。为了开发这些模型,使用了192个纯组分的T_b实验数据和180个纯组分的ΔH_(vb)实验数据。对于每个成分,确定了1650个分子描述符。使用增强替换方法(ERM)作为选择子集变量的有效工具。所获得的模型是具有五个用于预测T_b的参数和六个用于ΔH_(vb)的参数的多元线性方程。模型的参数仅根据制冷剂的化学结构来计算。在所有实验数据上,所得模型的平均绝对相对偏差(AARD,%)和相关系数平方(R〜2)为3.42%,T_b的预测值为0.95,ΔH_(预测的为6.83%,0.96。 vb)。

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