Recommended Correlations for the Surface Tension of n-Alkanes

IF 4.4 2区工程技术 Q2 CHEMISTRY, MULTIDISCIPLINARY

Journal of Physical and Chemical Reference Data Pub Date : 2021-05-14 DOI:10.1063/5.0048675

Á. Mulero, I. Cachadiña, D. Bautista

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引用次数: 8

Abstract

In previous papers, specific correlations were proposed to reproduce the surface tension values selected for several families of fluids and for wide ranges of temperatures. In this paper, the surface tension of n-alkanes is considered. For that, the data available in DIPPR and DETHERM databases and in Wohlfarth and Wohlfarth [“Surface tension of pure liquids and binary liquid mixtures,” in Landolt-Bornstein, New Series Group IV Physical Chemistry Vol. 16, edited by M. D. Lechner (Springer-Verlag, Berlin, 1997)] and its updated supplements (2008 and 2016) have been compiled. In most cases, a significant number of new data have been added, which were published elsewhere during the last few years and that were not included in the previously mentioned sources. All the data and values available for each fluid have been carefully screened and subsequently fitted to the Guggenheim–Katayama model, which includes two to six adjustable coefficients for each fluid. As a result, recommended correlations for 33 n-alkanes are proposed, providing absolute deviations below 1.65 mN/m and mean absolute percentage deviations below 2.1%.

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正构烷烃表面张力的推荐相关性

在以前的论文中，提出了特定的相关性来重现为几个流体家族和宽温度范围选择的表面张力值。本文考虑了正构烷烃的表面张力。为此，DIPPR和DETHERM数据库以及Wohlfarth和Wohlfarth[“纯液体和二元液体混合物的表面张力”，Landolt Bornstein，New Series Group IV Physical Chemistry Vol.16，由M.D.Lechner编辑（Springer Verlag，Berlin，1997）]及其更新的补充资料（2008年和2016年）中的可用数据已经汇编完毕。在大多数情况下，增加了大量新数据，这些数据在过去几年中在其他地方发布，但没有包括在前面提到的来源中。每种流体的所有可用数据和值都经过了仔细筛选，随后拟合到古根海姆-片山模型中，该模型包括每种流体两到六个可调节系数。因此，提出了33种正构烷烃的推荐相关性，其绝对偏差低于1.65 mN/m，平均绝对百分比偏差低于2.1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Physical and Chemical Reference Data 化学-化学综合

CiteScore

6.90

自引率

11.60%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Physical and Chemical Reference Data (JPCRD) is published by AIP Publishing for the U.S. Department of Commerce National Institute of Standards and Technology (NIST). The journal provides critically evaluated physical and chemical property data, fully documented as to the original sources and the criteria used for evaluation, preferably with uncertainty analysis. Critical reviews may also be included if they document a reference database, review the data situation in a field, review reference-quality measurement techniques, or review data evaluation methods.