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Similarity coefficient and prediction of critical properties of fluids

机译:相似系数与流体临界特性预测

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Recently, a new parameter named "similarity coefficient (SC)" has been proposed (Ghanbari and Tahery, Fluid Phase Equilib., 310, 82, 2011) to show the new regularity of the organic compounds based on the group-contribution (GC) method. This parameter provides the relation between the co-volume of the fluids and their heat capacities. In the present study, two new methods on the basis of SC were proposed for predicting critical properties of fluids. To achieve this goal, Peng-Robinson (PR) equation of state and GC method of Ambrose were employed to develop SC-PR and SC-Ambrose methods. The performance of the proposed methods was assessed by predicting the critical properties of 150 hydrocarbons, including: alkanes, alkenes, alkynes, aromatics and cyclic compounds at vapor-liquid equilibrium condition; the average absolute deviations (AAD in %) of the predicted critical temperatures and critical pressures using SC -PR were found to be 1.28% and 3.26%, respectively. The critical pressures of studied hydrocarbons have also been predicted from SC-Ambrose with AAD equal to 2.56%. The predicted results were also compared with those obtained by the well-known Ambrose's GC method. Results showed that the harmony between our method and Ambrose's method was quite satisfactory. Furthermore, the surface tensions of long-chained hydrocarbon fluids have been predicted using the molecular-based model proposed by Chunsheng-Chongli (Y. Chunsheng, Z. Chongli, Chinese. J. them. Eng., 12; 85, 2004), in which the required critical temperatures were predicted accurately from the proposed SC -PR method. From 460 data point examined, the AAD of the predicted surface tensions of the above hydrocarbon fluids using SC -PR-CC was found to be 4.45%.
机译:最近,有人提出了一个名为“相似系数(SC)”的新参数(Ghanbari and Tahery,Fluid Phase Equilib。,310,82,2011),以显示基于基团贡献(GC)的有机化合物的新规律性。方法。该参数提供了流体的总体积与其热容量之间的关系。在本研究中,提出了两种基于SC的新方法来预测流体的关键特性。为了达到这个目标,采用了彭-鲁宾逊(PR)状态方程和Ambrose的GC方法来开发SC-PR和SC-Ambrose方法。通过预测150种碳氢化合物的临界特性来评估所提出方法的性能,这些碳氢化合物包括:气液平衡条件下的烷烃,烯烃,炔烃,芳烃和环状化合物;发现使用SC -PR预测的临界温度和临界压力的平均绝对偏差(AAD,以%为单位)分别为1.28%和3.26%。还从SC-Ambrose预测了研究的碳氢化合物的临界压力,AAD等于2.56%。还将预测结果与通过著名的Ambrose's GC方法获得的结果进行比较。结果表明,我们的方法与Ambrose方法的协调性令人满意。此外,长春烃类流体的表面张力已经使用春生重立提出的基于分子的模型进行了预测(Y. Chunsheng,Z. Chongli,Chinese。J. them。Eng。,12; 85,2004),其中根据建议的SC -PR方法可准确预测所需的临界温度。从所检查的460个数据点中,发现使用SC -PR-CC的上述烃流体的预测表面张力的AAD为4.45%。

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