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The development of unlike induced association-site models to study the phase behaviour of aqueous mixtures comprising acetone, alkanes and alkyl carboxylic acids with the SAFT-g Mie group contribution methodology

机译:利用saFT-g mie基团贡献方法研究包含丙酮,烷烃和烷基羧酸的水性混合物的相行为的不同诱导缔合位点模型的开发

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摘要

Providing accurate predictions of the thermodynamic properties of highly polar and hydrogen bonding compounds and their mixtures is challenging from a theoretical perspective. The combination of an equation of state (EoS) based on the statistical associating fluid theory (SAFT) with a group contribution (GC) methodology offers both accuracy and predictive capability for the thermodynamic properties of mixtures. In our current work, the SAFT-γ Mie equation of state is used to capture the underlying complexity of systems in which specific interactions (e.g. hydrogen bonding, dipolar interactions, chemical association) play an important role, by incorporating highly versatile association-site schemes to model mixtures in which unlike induced association interactions occur; this is done by assigning to the functional groups a number of association sites that are inactive in the pure fluid, but become active in certain mixtures. We refer to this type of association mechanism as “unlike induced” association and to the sites involved in this interaction as “unlike induced” association sites. The concept of unlike induced association sites is applied here to develop reliable SAFT-γ Mie group contribution models to describe the properties of acetone, alkyl carboxylic acids, and their mixtures with water and n-alkanes. The parameter table of available SAFT-γ Mie models is expanded to incorporate the corresponding group interaction parameters for acetone, which is treated as a molecular group, the carboxyl group COOH, and their unlike interaction group parameters with water, and the methyl CH3, methanediyl CH2, and methanetriyl CH alkyl groups. In particular, one unlike induced site is used with the acetone model to mediate hydrogen bonding of the acetone oxygen in mixtures containing hydrogen bond donors, and two pairs of unlike induced sites are included on the COOH group to mediate hydrogen bond formation in mixtures of carboxylic acids and hydrogen bond donors. The models developed allow for the successful description of the complex fluid-phase behaviour of the relevant binary and ternary mixtures, including accurate predictions of systems which have not been used to determine the model parameters.
机译:从理论的角度来看,提供对高极性和氢键化合物及其混合物的热力学性质的准确预测具有挑战性。基于统计缔合流体理论(SAFT)的状态方程(EoS)与基团贡献(GC)方法的结合,为混合物的热力学性质提供了准确性和预测能力。在我们当前的工作中,通过结合高度通用的缔合位点方案,利用SAFT-γMie状态方程来捕获系统的潜在复杂性,在这些系统中,特定相互作用(例如氢键,偶极相互作用,化学缔合)起着重要作用。建模其中发生不同的诱导缔合相互作用的混合物;这是通过为官能团分配多个缔合位点来完成的,这些缔合位点在纯流体中不活跃,但在某些混合物中变得活跃。我们将这种类型的关联机制称为“与众不同”的关联,将参与此交互的站点称为“与众不同”的关联。此处应用了不相似的诱导缔合位点的概念来开发可靠的SAFT-γMie基贡献模型,以描述丙酮,烷基羧酸及其与水和正构烷烃的混合物的性质。扩展了可用的SAFT-γMie模型的参数表,以合并相应的丙酮基团相互作用参数,该参数被视为分子基团,羧基COOH及其与水的不同相互作用基团参数,以及甲基CH3,甲烷二基CH2和甲三烷基CH烷基。特别地,在丙酮模型中使用一个不同的诱导位点来介导含有氢键供体的混合物中丙酮氧的氢键,并且在COOH基团上包括两对不同的诱导位点以介导羧酸混合物中的氢键形成。酸和氢键供体。所开发的模型可以成功描述相关二元和三元混合物的复杂液相行为,包括对尚未用于确定模型参数的系统的准确预测。

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