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Estimation of pure component properties - Part 3. Estimation of the vapor pressure of non-electrolyte organic compounds via group contributions and group interactions

机译:纯组分性质的估算-第3部分。通过基团贡献和基团相互作用估算非电解质有机化合物的蒸气压

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摘要

A group contribution method for the estimation of the normal boiling point of non-electrolyte organic compounds, which was published earlier, has been the basis for development of subsequent physical property methods. In this work, the model was extended to enable the prediction of vapor pressure data with special attention to the low-pressure region. The molecular structure of the compound and a reference point, usually the normal boiling point, are the only required inputs and enables the estimation of vapor pressure at other temperatures by group contribution. The structural group definitions are similar to those proposed earlier for the normal boiling point, with minor modifications having been made to improve the predictions. Structural groups were defined in a standardized form and fragmentation of the molecular structures was performed by an automatic procedure to eliminate any arbitrary assumptions. The new method is based on vapor pressure data for more than 1600 components. The results of the new method are compared to the Antoine correlative equation using parameters stored in the Dortmund Data Bank, as well as, the DIPPR vapor pressure correlations. The group contribution method has proven to be a good predictor, with accuracies comparable to the correlations. Moreover, because the regression of group contributions was performed for a large number of compounds, the results can in several cases be considered more reliable than those of the correlative models that were regressed to individual components only. The range of the method is usually from about the triple or melting point to a reduced temperature of 0.75-0.8.
机译:较早发表的用于估计非电解质有机化合物的正常沸点的基团贡献法已成为开发后续物理性质方法的基础。在这项工作中,对模型进行了扩展,使其能够特别关注低压区域来预测蒸气压数据。化合物的分子结构和参考点(通常为正常沸点)是唯一需要的输入,并可以通过基团贡献来估算其他温度下的蒸气压。结构基团的定义与之前针对正常沸点提出的定义相似,但已进行了较小的修改以改善预测结果。以标准化形式定义结构基团,并通过自动程序进行分子结构的片段化,以消除任何任意假设。新方法基于1600多个组件的蒸气压数据。使用存储在多特蒙德数据库中的参数以及DIPPR蒸气压相关性,将新方法的结果与Antoine相关方程进行比较。小组贡献法已被证明是一个很好的预测指标,其准确性可与相关性相提并论。此外,由于对大量化合物进行了基团贡献的回归,因此在某些情况下,该结果比仅回归单个成分的相关模型的结果更可靠。该方法的范围通常为约三重点或熔点至降低的温度0.75-0.8。

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