芳香族、多官能团和甘油酯表面张力的推荐相关性

IF 4.4 2区 工程技术 Q2 CHEMISTRY, MULTIDISCIPLINARY
Á. Mulero, I. Cachadiña, A. Vegas
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引用次数: 2

摘要

从数据库、书籍和文献中编译了79种酯类,包括芳香族、多官能团和甘油酯的表面张力值。数据经过仔细筛选,最终选出1517个值。每个流体数据集都与具有两个或四个可调参数的Guggenheim-Katayama相关性进行了拟合。对每种酯提出了推荐相关性,其中77种酯的平均绝对偏差低于0.50 mN/m, 76种酯的平均绝对百分比偏差低于1.7%,百分比偏差低于10%,除了tricaprylin的59个数据中有4个数据。发现的最大偏差是由于从不同来源获得的数据之间的不一致,而不是相关性模型的数学形式不充分。这些相关性被添加到先前提出的不同流体的相关性集合中,包括普通物质、醇类、制冷剂、有机酸、正构烷烃和80种其他酯类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recommended Correlations for the Surface Tension of Aromatic, Polyfunctional, and Glyceride Esters
Surface tension values for 79 esters, including aromatics, polyfunctional, and glycerides, have been compiled from databases, books, and papers in the literature. The data have been carefully screened, and finally, 1517 values were selected. Each fluid dataset has been fitted with the Guggenheim–Katayama correlation with two or four adjustable parameters. Recommended correlations are proposed for each ester, providing mean absolute deviations below 0.50 mN/m for 77 of them, mean absolute percentage deviations below 1.7% for 76 of them, and percentage deviations below 10%, except for four data out of the 59 selected for tricaprylin. The highest deviations found are due to the disagreement between the data obtained from different sources and not to an inadequate mathematical form of the correlation model. These correlations are added to the collection of those previously proposed for different fluids, including common substances, alcohols, refrigerants, organic acids, n-alkanes, and 80 other esters.
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来源期刊
CiteScore
6.90
自引率
11.60%
发文量
14
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.
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