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A Group Contribution Nonrandom Lattice Fluid Equation of State and COSMO-RS

机译:群贡献非谐波晶格流体方程和COSMO-RS

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ABSTRACT A group contribution version of a nonrandom lattice fluid (NLF) based equation of state has been used incorporating the conductor-like screening model for real solvents (COSMO-RS) has been developed and evaluated. Group contribution based models are widely used in industrial applications for its convenience and flexibility. Although a number of group contribution models have been proposed, there were certain limitations inherent to those models. Models based on group contribution excess Gibbs free energy are only limited to low pressures and models based on equation of state (EOS) cannot properly describe highly no ideal mixtures including acids without introducing additional modification such as chemical theory. In the present study new a new approach derived from quantum chemistry have been used to calculate necessary group interaction parameters. The COSMO-RS method, based on quantum mechanics, provides a reliable tool for fluid phase thermodynamics. Benefits of the group contribution EOS are the consistent extension to hydrogen-bonded mixtures and the capability to predict polymer solvent equilibria up to high pressures. The authors are confident that with a sufficient parameter matrix the performance of the lattice EOS can be improved significantly.
机译:摘要已经使用了一种基于状态的非random晶片流体(NLF)的基于状态的组贡献版本,其已经开发和评估了用于真实溶剂(Cosmo-Rs)的导体样筛选模型。基于集团的贡献模型在工业应用中广泛用于其方便和灵活性。虽然已经提出了许多组贡献模型,但这些模型所固有的某些限制。基于组贡献的模型超大吉布斯自由能量仅限于基于状态方程(EOS)的低压和模型不能正确地描述,并且在不引入诸如化学理论的额外修改的情况下,高度没有理想的混合物。在本研究中,新方法已经用于计算必要的组相互作用参数。基于量子力学的COSMO-RS方法为流体相热力学提供了可靠的工具。本集团贡献EOS的益处是氢键混合物的一致延伸和预测聚合物溶剂均匀高压的能力。作者相信,通过足够的参数矩阵,可以显着提高格子EOS的性能。

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