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首页> 外文期刊>Fluid Phase Equilibria >Prediction of phase equilibria in the systems carbon dioxide (1)–fatty acids (2) by two cubic EOS models and classical mixing rules without binary adjustable parameters
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Prediction of phase equilibria in the systems carbon dioxide (1)–fatty acids (2) by two cubic EOS models and classical mixing rules without binary adjustable parameters

机译:通过两个三次方程式EOS模型和无二元可调整参数的经典混合规则预测二氧化碳(1)–脂肪酸(2)系统中的相平衡

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摘要

This study evaluates the accuracy of estimating data in the series of systems carbon dioxide (1)–fatty acids (2) by two cubic equations of state, namely the EOS of Peng and Robinson in its original form and the recently proposed cubic EOS. The classical mixing rules are implemented in entirely predictive manner, i.e. without binary adjustable parameters. It is demonstrated that both models may yield reliable predictions of the data. However the EOS of Peng and Robinson fails in predicting the topology of phase behavior of the heavy homologues. The second cubic EOS predicts the Global Phase Behavior in the homologous series under consideration satisfactorily accurate, which in particular means qualitatively correct estimation of the liquid–liquid equilibria. The recently proposed EOS has no significant advantage over the EOS of Peng and Robinson in predicting the vapour–liquid equilibria data under consideration.
机译:这项研究通过两个立方状态方程,即原始状态的Peng和Robinson的EOS和最近提出的立方EOS,评估了一系列系统二氧化碳(1)-脂肪酸(2)中数据估算的准确性。经典混合规则以完全可预测的方式实现,即没有二进制可调整参数。事实证明,两个模型都可以得出可靠的数据预测。然而,Peng和Robinson的EOS无法预测重同源物的相态拓扑。第二个三次EOS预测所考虑的同源序列中的整体相行为令人满意地准确,这尤其意味着对液-液平衡的定性正确估计。最近提出的EOS在预测所考虑的汽-液平衡数据时,与Peng和Robinson的EOS相比没有显着优势。

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