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首页> 外文期刊>Molecular informatics >QSPR Approach to Predict Nonadditive Properties of Mixtures. Application to Bubble Point Temperatures of Binary Mixtures of Liquids
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QSPR Approach to Predict Nonadditive Properties of Mixtures. Application to Bubble Point Temperatures of Binary Mixtures of Liquids

机译:QSPR方法来预测混合物的非加性。在液体二元混合物的沸点温度中的应用

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Vapor-liquid equilibrium (VLE) data represent one of the most important type of information required to evaluate the phase behavior of a binary liquid mixture, which is crucial for the design of separation processes.111 Particular interest represents the dependence of bubble point or vapor pressure on the mixture composition (Figure 1). Theoretical assessment of these data could significantly reduce the costs of selection of proper agents for industrial processes. Group contribution methods (GCM), such as UNIFAC,121 UNIFAC-Dortmund,ASOG or UNIQUAC are used worldwide to predict mixture behavior. UNIFAC is based on the thermodynamic equation for the activity coefficient (y) of liquid 1 in the environment of liquid 2.
机译:汽液平衡(VLE)数据代表评估二元液体混合物的相行为所需的最重要信息类型之一,这对于分离工艺的设计至关重要。111特别关注的是气泡点或蒸汽的依赖性压力对混合物成分的影响(图1)。这些数据的理论评估可以显着降低为工业过程选择合适的试剂的成本。群体贡献方法(GCM),例如UNIFAC,121 UNIFAC-Dortmund,ASOG或UNIQUAC在世界范围内用于预测混合物行为。 UNIFAC基于热力学方程,用于在液体2的环境中液体1的活度系数(y)。

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