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Estimation of the normal boiling point of organic compounds via a new group contribution method

机译:通过新的基团贡献法估算有机化合物的正常沸点

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An improved second order group contribution method is developed to determine the normal boiling point of organic compounds. This method is based on the Joback's first order functional groups with some changes and some newly added functional groups developed from experimental data. Each functional group has a group contribution value, and the contribution values have been optimized using 2036 experimental data of organic components ranging from N-C = 1-36 and M-W = 26-555 (g.mol(-1)), including heavy and complex polycyclic aromatic compounds. In this method, it is tried to distinguish most of the structural isomers and stereoisomers by second order functional groups to predict their different normal boiling points. First and second order functional groups of the hydrocarbons and hydrocarbon derivatives containing carbon, hydrogen, oxygen, nitrogen, sulfur, fluorine, chlorine, bromine and iodine atoms, are included in this study. The fminsearch mathematical approach from MATLAB software is used in this study to select an optimal collection of functional groups (122 functional groups) and subsequently to develop the model. The results of the new method are compared to several well-known methods. The average absolute deviation of normal boiling point predictions for 2036 organic compounds is found to be 4.35194 K; while the percentage of the average absolute relative deviation is just 1.01075%. (C) 2015 Elsevier B.V. All rights reserved.
机译:开发了一种改进的二阶基团贡献法来确定有机化合物的正常沸点。该方法基于乔贝克的一阶官能团,该基团具有一些变化,并且根据实验数据开发了一些新添加的官能团。每个官能团都有一个组贡献值,并且该贡献值已使用2036个有机成分的实验数据进行了优化,范围从NC = 1-36和MW = 26-555(g.mol(-1)),包括重和复杂多环芳族化合物。在该方法中,尝试通过二阶官能团区分大多数结构异构体和立体异构体,以预测它们的不同正常沸点。这项研究包括碳氢化合物和含有碳,氢,氧,氮,硫,氟,氯,溴和碘原子的碳氢化合物和碳氢化合物的一阶和二阶官能团。在这项研究中,使用了MATLAB软件的fminsearch数学方法来选择功能组(122个功能组)的最佳集合,然后开发模型。新方法的结果与几种众所周知的方法进行了比较。发现2036种有机化合物的正常沸点预测值的平均绝对偏差为4.35194 K;而平均绝对相对偏差的百分比仅为1.01075%。 (C)2015 Elsevier B.V.保留所有权利。

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