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Determination of critical properties using a dynamic-synthetic apparatus: experimental work and modeling

机译:使用动态合成装置测定关键特性:实验工作和建模

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Critical point data of mixtures are essential for the optimization of petroleum and supercritical extraction processes. These data supply information on fluid behavior at extreme conditions of equilibrium. Due to strong fluctuations of densities at near-critical conditions, it is difficult for most equations of state to satisfactorily predict the phase behavior near the critical region. In addition, the empirical trend of the binary parameters changes after reaching the critical point of the low boiling component, making model predictions less obvious. In this communication we propose a “dynamic-synthetic” method with an apparatus designed for the visual detection of critical temperatures and pressures. The apparatus is capable of pure component and mixture measurements with the compositions being synthesized for the mixtures. Critical points are reported herein for several pure components and binary mixtures, correlated using various models ranging from polynomial expression to equation of states. Results show that, in the absence of interaction parameters, general disagreements still exist when modeling more complex systems with equation of states.
机译:混合物的临界点数据对于优化石油和超临界提取过程至关重要。这些数据提供有关均衡的极端条件下的流体行为信息。由于近乎临界条件下密度强烈波动,大多数国家方程都难以令人满意地预测关键区域附近的相行为。此外,二元参数的实证趋势在达到低沸点部件的临界点后变化,使模型预测不太明显。在该通信中,我们提出了一种“动态合成”方法,该方法具有设计用于视觉检测临界温度和压力的装置。该装置能够用合成混合物合成的组合物纯成分和混合物测量。本文报道了几种纯组分和二元混合物的关键点,使用从多项式表达到状态方程的各种模型相关。结果表明,在没有交互参数的情况下,在建模具有状态方程的更复杂系统时仍然存在一般分歧。

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